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ORCIDJohann Marius Zöllner
J. Marius Zöllner – J. Marius Zoellner – Marius Zöllner 0001
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- affiliation: FZI Research Center for Information Technology, Karlsruhe, Germany
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2020 – today
- 2024
[c232]Niklas Wagner, Felix Mätzler, Samed Rouven Vossberg, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner:
CAGE: Circumplex Affect Guided Expression Inference. CVPR Workshops 2024: 4683-4692- [c231]Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner:
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. ICRA 2024: 14198-14204 - [c230]Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner:
Iterative Filter Pruning for Concatenation-based CNN Architectures. IJCNN 2024: 1-10 - [c229]Martin Gontscharow, Jens Doll, Albert Schotschneider, Daniel Bogdoll, Stefan Orf, Johannes Jestram, Marc René Zofka, J. Marius Zöllner:
Scalable Remote Operation for Autonomous Vehicles: Integration of Cooperative Perception and Open Source Communication. IV 2024: 43-50 - [c228]Ahmed Abouelazm, Jonas Michel, J. Marius Zöllner:
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving. IV 2024: 156-163 - [c227]Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner:
KI-PMF: Knowledge Integrated Plausible Motion Forecasting. IV 2024: 176-183 - [c226]Melih Yazgan, Jennifer Amritzer, Tobias Fleck, Marc Rene Zofka, J. Marius Zoellner, Florian Alexander Schiegg, Johannes Müller, Keno Garlichs, Mihai Kocsis, Johannes Buyer, Raoul Zoellner:
Shuttle2X -Overcoming Operational Borders of Autonomous Shuttles by Infrastructure Support. IV 2024: 390-396 - [c225]Melih Yazgan, Thomas Graf, Min Liu, Tobias Fleck, J. Marius Zöllner:
A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges. IV 2024: 2226-2233 - [c224]Melih Yazgan, Mythra Varun Akkanapragada, J. Marius Zöllner:
Collaborative Perception Datasets in Autonomous Driving: A Survey. IV 2024: 2269-2276 - [c223]Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner:
Scene-Extrapolation: Generating Interactive Traffic Scenarios. IV 2024: 2483-2490 - [c222]Sven Ochs, Nico Lambing, Ahmed Abouelazm, Marc René Zofka, J. Marius Zöllner:
Last Mile Delivery with Autonomous Shuttles: ROS-based Integration of Smart Cargo Cages. IV 2024: 2923-2929 - [c221]Marc Uecker, J. Marius Zöllner:
Can You See Me Now? Blind Spot Estimation for Autonomous Vehicles using Scenario-Based Simulation with Random Reference Sensors. IV 2024: 3035-3042 - [i94]Marc Uecker, J. Marius Zöllner:
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors. CoRR abs/2402.00467 (2024) - [i93]Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, J. Marius Zöllner:
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions. CoRR abs/2402.04168 (2024) - [i92]Sven Ochs, Jens Doll, Marc Heinrich, Philip Schörner, Sebastian Klemm, Marc René Zofka, J. Marius Zöllner:
Leveraging Swarm Intelligence to Drive Autonomously: A Particle Swarm Optimization based Approach to Motion Planning. CoRR abs/2404.02644 (2024) - [i91]Sven Ochs, Jens Doll, Daniel Grimm, Tobias Fleck, Marc Heinrich, Stefan Orf, Albert Schotschneider, Helen Gremmelmaier, Rupert Polley, Svetlana Pavlitska, Maximilian Zipfl, Helen Schneider, Ferdinand Mütsch, Daniel Bogdoll, Florian Kuhnt, Philip Schörner, Marc René Zofka, J. Marius Zöllner:
One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level. CoRR abs/2404.02645 (2024) - [i90]Melih Yazgan, Mythra Varun Akkanapragada, J. Marius Zoellner:
Collaborative Perception Datasets in Autonomous Driving: A Survey. CoRR abs/2404.14022 (2024) - [i89]Niklas Wagner, Felix Mätzler, Samed Rouven Vossberg
, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner:
CAGE: Circumplex Affect Guided Expression Inference. CoRR abs/2404.14975 (2024) - [i88]Melih Yazgan, Thomas Graf, Min Liu, Tobias Fleck, J. Marius Zoellner:
A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges. CoRR abs/2404.16139 (2024) - [i87]Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner:
Scene-Extrapolation: Generating Interactive Traffic Scenarios. CoRR abs/2404.17224 (2024) - [i86]Marc Heinrich, Maximilian Zipfl, Marc Uecker, Sven Ochs, Martin Gontscharow, Tobias Fleck, Jens Doll, Philip Schörner, Christian Hubschneider, Marc René Zofka, Alexander Viehl, J. Marius Zöllner:
CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research. CoRR abs/2404.17550 (2024) - [i85]Ahmed Abouelazm, Jonas Michel, J. Marius Zoellner:
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving. CoRR abs/2405.01440 (2024) - [i84]Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner:
Iterative Filter Pruning for Concatenation-based CNN Architectures. CoRR abs/2405.03715 (2024) - [i83]Daniel Bogdoll, Iramm Hamdard, Lukas Namgyu Rößler, Felix Geisler, Muhammed Bayram, Felix Wang, Jan Imhof, Miguel de Campos, Anushervon Tabarov, Yitian Yang, Hanno Gottschalk, J. Marius Zöllner:
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. CoRR abs/2405.07865 (2024) - [i82]Daniel Bogdoll, Noël Ollick, Tim Joseph, J. Marius Zöllner:
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving. CoRR abs/2406.06370 (2024) - [i81]Daniel Bogdoll, Jan Imhof, Tim Joseph, J. Marius Zöllner:
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving. CoRR abs/2406.06423 (2024) - [i80]Karam Daaboul, Florian Kuhm, Tim Joseph, J. Marius Zoellner:
Constrained Meta Agnostic Reinforcement Learning. CoRR abs/2406.14047 (2024) - [i79]Daniel Bogdoll, Finn Sartoris, Vincent Geppert, Svetlana Pavlitska, J. Marius Zöllner:
Complementary Learning for Real-World Model Failure Detection. CoRR abs/2407.14306 (2024) - [i78]Abhishek Vivekanandan, J. Marius Zöllner:
Scene-Specific Trajectory Sets: Maximizing Representation in Motion Forecasting. CoRR abs/2407.20732 (2024) - [i77]Nikolai Polley, Svetlana Pavlitska, Yacin Boualili, Patrick Rohrbeck, Paul Stiller, Ashok Kumar Bangaru, J. Marius Zöllner:
TLD-READY: Traffic Light Detection - Relevance Estimation and Deployment Analysis. CoRR abs/2409.07284 (2024) - [i76]Marc Uecker, J. Marius Zöllner:
From One to the Power of Many: Augmentations for Invariance to Multi-LiDAR Perception from Single-Sensor Datasets. CoRR abs/2409.18592 (2024) - [i75]Sven Ochs, Melih Yazgan, Rupert Polley, Albert Schotschneider, Stefan Orf, Marc Uecker, Maximilian Zipfl, Julian Burger, Abhishek Vivekanandan, Jennifer Amritzer, Marc René Zofka, J. Marius Zöllner:
Empowering Autonomous Shuttles with Next-Generation Infrastructure. CoRR abs/2410.20989 (2024) - 2023
- [c220]Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt:
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) 2023: 3993-4002 - [c219]Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner:
Unscented Autoencoder. ICML 2023: 14758-14779 - [c218]Daniel Grimm, Philip Schörner, Moritz Dreßler, Johann Marius Zöllner:
Holistic Graph-based Motion Prediction. ICRA 2023: 2965-2972 - [c217]Karam Daaboul, Joel Ikels, J. Marius Zöllner:
Robotic Control Using Model Based Meta Adaption. ICRA 2023: 9457-9463 - [c216]Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner:
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability. IJCNN 2023: 1-10 - [c215]Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner:
Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 2023: 1-7 - [c214]Maximilian Zipfl, Sven Spickermann, J. Marius Zöllner:
Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios. ITSC 2023: 799-805 - [c213]Sven Ochs, Tolgahan Percin, Christian Samuelis, Philip Schörner, Marc René Zofka, J. Marius Zöllner:
What can we Learn from Virtual Sensor Models for Self Localization and Mapping for Autonomous Mobile Systems? ITSC 2023: 820-826 - [c212]Marc René Zofka, Tobias Fleck, Philip Schörner, Marc Heinrich, J. Marius Zöllner:
Paving the Ways for Vehicles-in-the-loop: Wireless Integration of Autonomous Vehicles into Mixed Reality Proving Grounds and Test Areas. ITSC 2023: 2626-2633 - [c211]Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner:
Traffic Light Recognition using Convolutional Neural Networks: A Survey. ITSC 2023: 2790-2796 - [c210]Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Juergen Luettin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner:
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions. ITSC 2023: 2901-2907 - [c209]Martin Gontscharow, Albert Schotschneider, Stefan Orf, Tobias Fleck, Marc René Zofka, J. Marius Zöllner:
Survey and Design Concept for Control Centers of Automated Vehicle Fleets. ITSC 2023: 4319-4326 - [c208]Tobias Fleck, Maximilian Zipfl, J. Marius Zöllner:
Semi-Automatic Ground Truth Trajectory Estimation and Smoothing using Roadside Cameras. ITSC 2023: 4577-4583 - [c207]Helen Gremmelmaier, Lukas Hierzegger, Mohammed Sohail M, J. Marius Zöllner:
Cyclist behavior: a survey on characteristics and trajectory modeling. ITSC 2023: 6144-6151 - [c206]Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner:
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. IV 2023: 1-8 - [c205]Faris Janjos, Max Keller, Maxim Dolgov, J. Marius Zöllner:
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision. IV 2023: 1-8 - [c204]Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax:
Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. IV 2023: 1-7 - [c203]Maximilian Zipfl, Nina Koch, J. Marius Zöllner:
A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving. IV 2023: 1-7 - [c202]Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner:
Traffic Scene Similarity: a Graph-based Contrastive Learning Approach. SSCI 2023: 221-227 - [c201]Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner:
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving. SSCI 2023: 488-495 - [c200]Svetlana Pavlitska, Hannes Grolig, J. Marius Zoellner:
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence. SSCI 2023: 671-676 - [c199]Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner:
Conditioning Latent-Space Clusters for Real-World Anomaly Classification. SSCI 2023: 1620-1625 - [i74]Daniel Bogdoll, Jonas Hendl, Felix Schreyer, Nishanth Gowda, Michael Färber, J. Marius Zöllner:
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets. CoRR abs/2301.02200 (2023) - [i73]Daniel Grimm, Philip Schörner, Moritz Dreßler, Johann Marius Zöllner:
Holistic Graph-based Motion Prediction. CoRR abs/2301.13545 (2023) - [i72]Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner:
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. CoRR abs/2302.02790 (2023) - [i71]Maximilian Zipfl, Nina Koch, J. Marius Zöllner:
A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving. CoRR abs/2304.10837 (2023) - [i70]Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner, Eric Sax:
Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. CoRR abs/2304.10849 (2023) - [i69]Ferdinand Mütsch, Helen Gremmelmaier, Nicolas Becker, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner:
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving. CoRR abs/2305.13960 (2023) - [i68]Faris Janjos, Max Keller, Maxim Dolgov, J. Marius Zöllner:
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision. CoRR abs/2306.03367 (2023) - [i67]Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zöllner:
Unscented Autoencoder. CoRR abs/2306.05256 (2023) - [i66]Svetlana Pavlitska, Nico Lambing, J. Marius Zöllner:
Adversarial Attacks on Traffic Sign Recognition: A Survey. CoRR abs/2307.08278 (2023) - [i65]Daniel Bogdoll, Lukas Bosch, Tim Joseph, Helen Gremmelmaier, Yitian Yang, J. Marius Zöllner:
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving. CoRR abs/2308.05701 (2023) - [i64]Svetlana Pavlitska, Nico Lambing, Ashok Kumar Bangaru, J. Marius Zöllner:
Traffic Light Recognition using Convolutional Neural Networks: A Survey. CoRR abs/2309.02158 (2023) - [i63]Maximilian Zipfl, Sven Spickermann, J. Marius Zöllner:
Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios. CoRR abs/2309.06887 (2023) - [i62]Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner:
Conditioning Latent-Space Clusters for Real-World Anomaly Classification. CoRR abs/2309.09676 (2023) - [i61]Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner:
Traffic Scene Similarity: a Graph-based Contrastive Learning Approach. CoRR abs/2309.09720 (2023) - [i60]Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner:
KI-PMF: Knowledge Integrated Plausible Motion Forecasting. CoRR abs/2310.12007 (2023) - [i59]Faris Janjos, Marcel Hallgarten, Anthony Knittel, Maxim Dolgov, Andreas Zell, J. Marius Zöllner:
Conditional Unscented Autoencoders for Trajectory Prediction. CoRR abs/2310.19944 (2023) - [i58]Daniel Bogdoll, Yitian Yang, J. Marius Zöllner:
MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations. CoRR abs/2311.11762 (2023) - [i57]Daniel Bogdoll, Louis Karsch, Jennifer Amritzer, J. Marius Zöllner:
On The Impact of Replacing Private Cars with Autonomous Shuttles: An Agent-Based Approach. CoRR abs/2311.14118 (2023) - [i56]Svetlana Pavlitska, Hannes Grolig, J. Marius Zöllner:
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence. CoRR abs/2311.15782 (2023) - [i55]Daniel Grimm, Maximilian Zipfl, Felix Hertlein, Alexander Naumann, Jürgen Lüttin, Steffen Thoma, Stefan Schmid, Lavdim Halilaj, Achim Rettinger, J. Marius Zöllner:
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions. CoRR abs/2311.18553 (2023) - 2022
- [j9]Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner:
A Realism Metric for Generated LiDAR Point Clouds. Int. J. Comput. Vis. 130(12): 2962-2979 (2022) - [c198]Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, Marius Zöllner:
Point Cloud Generation with Continuous Conditioning. AISTATS 2022: 4462-4481 - [c197]Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner:
Is Neuron Coverage Needed to Make Person Detection More Robust? CVPR Workshops 2022: 2888-2896 - [c196]Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner:
Anomaly Detection in Autonomous Driving: A Survey. CVPR Workshops 2022: 4487-4498 - [c195]Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner:
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. ECCV Workshops (5) 2022: 409-425 - [c194]Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner:
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. ECCV Workshops (5) 2022: 510-525 - [c193]Sidney Bender, Tim Joseph, J. Marius Zöllner:
Cycle-Consistent World Models for Domain Independent Latent Imagination. ECCV Workshops (5) 2022: 561-574 - [c192]Abhishek Vivekanandan, Niels Maier, J. Marius Zöllner:
Plausibility Verification for 3D Object Detectors Using Energy-Based Optimization. ECCV Workshops (1) 2022: 602-616 - [c191]Stefan Orf, Nico Lambing, Sven Ochs, Marc René Zofka, J. Marius Zöllner:
Modeling Localization Uncertainty for Enhanced Robustness of Automated Vehicles. ICCP 2022: 175-182 - [c190]Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner:
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. AISafety@IJCAI 2022 - [c189]Tobias Fleck, Lennart Jauernig, Rupert Polley, Philip Schörner, Marc René Zofka, J. Marius Zöllner:
Infra2Go: A Mobile Development Platform for Connected, Cooperative and Autonomous Driving. ITSC 2022: 1629-1636 - [c188]Maximilian Zipfl, J. Marius Zöllner:
Towards Traffic Scene Description: The Semantic Scene Graph. ITSC 2022: 3748-3755 - [c187]Philipp Stegmaier, Karl Kurzer, J. Marius Zöllner:
Cooperative Trajectory Planning in Uncertain Environments With Monte Carlo Tree Search and Risk Metrics. ITSC 2022: 4109-4116 - [c186]Karl Kurzer, Matthias Bitzer, J. Marius Zöllner:
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search. IV 2022: 22-28 - [c185]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global-Frame Self-Attention. IV 2022: 280-286 - [c184]Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner:
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. IV 2022: 1093-1098 - [c183]Marc René Zofka, Tobias Fleck, J. Marius Zöllner:
A Unified Description of Proving Grounds and Test Areas for Automated and Connected Vehicles. IV 2022: 1430-1437 - [c182]Faris Janjos, Maxim Dolgov, Muhamed Kuric, Yinzhe Shen, J. Marius Zöllner:
SAN: Scene Anchor Networks for Joint Action-Space Prediction. IV 2022: 1751-1756 - [c181]Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner:
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. SMC 2022: 325-332 - [c180]Helen Gremmelmaier, Lars Töttel, Svetlana Pavlitskaya, Stefan Orf, Marc Rene Zofka, J. Marius Zöllner:
Getting Ready for all Types of Users: A Virtual Reality Training Center for Automated Vehicles. SSCI 2022: 77-85 - [c179]Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner:
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. SSCI 2022: 1551-1559 - [c178]Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: A Meta-collection of Data Sets for Autonomous Driving. VEHITS 2022: 46-56 - [c177]Barbara Schütt, Marc Heinrich, Sonja Marahrens, J. Marius Zöllner, Eric Sax:
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios. VEHITS 2022: 338-345 - [i54]Daniel Bogdoll, Felix Schreyer, J. Marius Zöllner:
Ad-datasets: a meta-collection of data sets for autonomous driving. CoRR abs/2202.01909 (2022) - [i53]Karl Kurzer, Matthias Bitzer, J. Marius Zöllner:
Learning Reward Models for Cooperative Trajectory Planning with Inverse Reinforcement Learning and Monte Carlo Tree Search. CoRR abs/2202.06443 (2022) - [i52]Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, J. Marius Zöllner:
Point Cloud Generation with Continuous Conditioning. CoRR abs/2202.08526 (2022) - [i51]Daniel Bogdoll, Moritz Nekolla, Tim Joseph, J. Marius Zöllner:
Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules. CoRR abs/2202.09269 (2022) - [i50]Philipp Stegmaier, Karl Kurzer, J. Marius Zöllner:
Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics. CoRR abs/2203.04452 (2022) - [i49]Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner:
Anomaly Detection in Autonomous Driving: A Survey. CoRR abs/2204.07974 (2022) - [i48]Svetlana Pavlitskaya, Siyar Yikmis, J. Marius Zöllner:
Is Neuron Coverage Needed to Make Person Detection More Robust? CoRR abs/2204.10027 (2022) - [i47]Svetlana Pavlitskaya, Christian Hubschneider, Lukas Struppek, J. Marius Zöllner:
Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs. CoRR abs/2204.10598 (2022) - [i46]Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner:
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. CoRR abs/2205.01414 (2022) - [i45]Barbara Schütt, Marc Heinrich, Sonja Marahrens, J. Marius Zöllner, Eric Sax:
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios. CoRR abs/2205.08202 (2022) - [i44]Daniel Bogdoll, Meng Zhang, Maximilian Nitsche, J. Marius Zöllner:
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers. CoRR abs/2207.06055 (2022) - [i43]Daniel Bogdoll, Jonas Rauch, J. Marius Zöllner:
DLCSS: Dynamic Longest Common Subsequences. CoRR abs/2207.06061 (2022) - [i42]Svetlana Pavlitskaya, Bianca-Marina Codau, J. Marius Zöllner:
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. CoRR abs/2207.07347 (2022) - [i41]Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner:
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. CoRR abs/2208.10773 (2022) - [i40]Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner:
A Realism Metric for Generated LiDAR Point Clouds. CoRR abs/2208.14958 (2022) - [i39]Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner:
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. CoRR abs/2209.00342 (2022) - [i38]Svetlana Pavlitskaya, Jonas Hendl, Sebastian Kleim, Leopold Müller, Fabian Wylczoch, J. Marius Zöllner:
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection. CoRR abs/2209.13353 (2022) - [i37]Svetlana Pavlitskaya, Joël Oswald, J. Marius Zöllner:
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. CoRR abs/2209.13382 (2022) - [i36]Karam Daaboul, Joel Ikels, J. Marius Zöllner:
Robotic Control Using Model Based Meta Adaption. CoRR abs/2210.03539 (2022) - [i35]Marc Uecker, Tobias Fleck, Marcel Pflugfelder, J. Marius Zöllner:
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception. CoRR abs/2210.14612 (2022) - [i34]Abhishek Vivekanandan, Niels Maier, J. Marius Zoellner:
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization. CoRR abs/2211.05233 (2022) - [i33]Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner, Eric Sax:
Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment. CoRR abs/2211.13683 (2022) - [i32]Maximilian Zipfl, Moritz Jarosch, J. Marius Zöllner:
Self Supervised Clustering of Traffic Scenes using Graph Representations. CoRR abs/2211.15508 (2022) - 2021
- [c176]Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. AAAI 2021: 6812-6821 - [c175]Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner:
Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations. GCPR 2021: 681-696 - [c174]Johannes Buyer, Dominic Waldenmayer, Raoul Zöllner, J. Marius Zöllner:
Data-Driven Merging of Car-Following Models for Interaction-Aware Vehicle Speed Prediction. FUSION 2021: 1-8 - [c173]Tobias Fleck, J. Marius Zoellner:
Tuning Multi Object Tracking Systems using Bayesian Optimization. FUSION 2021: 1-8 - [c172]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW 2021: 1023-1028 - [c171]Moritz A. Zanger, Karam Daaboul, J. Marius Zöllner:
Safe Continuous Control with Constrained Model-Based Policy Optimization. IROS 2021: 3512-3519 - [c170]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. ISC2 2021: 1-4 - [c169]Atanas Tanev, Svetlana Pavlitskaya, Joan Sigloch, Arne Roennau, Rüdiger Dillmann, J. Marius Zöllner:
Adversarial Black-Box Attacks on Vision-based Deep Reinforcement Learning Agents. ISR 2021: 177-181 - [c168]Philip Schörner, Marcus Conzelmann, Tobias Fleck, Marc René Zofka, J. Marius Zöllner:
Park my Car! Automated Valet Parking with Different Vehicle Automation Levels by V2X Connected Smart Infrastructure. ITSC 2021: 836-843 - [c167]Philip Schörner, Tobias Fleck, J. Marius Zöllner:
What if? Behavior Estimation by Predicting Traffic Scenes from State Histories. ITSC 2021: 2237-2244 - [c166]Simon T. Isele, Fabian Haas-Fickinger, J. Marius Zöllner:
SERALOC: SLAM on semantically annotated radar point-clouds. ITSC 2021: 2917-2924 - [c165]Christian Hubschneider, Marius Birkenbach, J. Marius Zöllner:
Unsupervised Domain Adaptation via Shared Content Representation for Semantic Segmentation. ITSC 2021: 3102-3109 - [c164]Stefan Jesenski, Nils Tiemann, Wolfgang Branz, J. Marius Zöllner:
Creation of Critical Traffic Scenes for Usage with Importance Sampling. ITSC 2021: 3162-3169 - [c163]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
Self-Supervised Action-Space Prediction for Automated Driving. IV 2021: 200-207 - [c162]Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, J. Marius Zöllner:
A Survey on Deep Domain Adaptation for LiDAR Perception. IV Workshops 2021: 350-357 - [c161]Mathis Brosowsky, Florian Keck, Jakob Ketterer, Simon T. Isele, Daniel Slieter, Johann Marius Zöllner:
Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets. IV 2021: 488-495 - [c160]Simon T. Isele, Fabian E. Klein, Mathis Brosowsky, J. Marius Zöllner:
Learning Semantics on Radar Point-Clouds. IV 2021: 810-817 - [c159]Karl Kurzer, Philip Schörner, Alexander Albers, Hauke Thomsen, Karam Daaboul, J. Marius Zöllner:
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning. IV 2021: 994-1000 - [c158]Michael Weber, Tassilo Wald, J. Marius Zöllner:
Temporal Feature Networks for CNN based Object Detection. IV 2021: 1478-1484 - [c157]Mathis Brosowsky, Paul Orschau, Olaf Dünkel, Philip Elspas, Daniel Slieter, Marius Zöllner:
Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks. SSCI 2021: 1-9 - [c156]Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner:
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. VEHITS 2021: 22-33 - [i31]Karl Kurzer, Philip Schörner, Alexander Albers, Hauke Thomsen, Karam Daaboul, J. Marius Zöllner:
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning. CoRR abs/2102.06765 (2021) - [i30]Michael Weber, Tassilo Wald, J. Marius Zöllner:
Temporal Feature Networks for CNN based Object Detection. CoRR abs/2103.12213 (2021) - [i29]Moritz A. Zanger, Karam Daaboul, J. Marius Zöllner:
Safe Continuous Control with Constrained Model-Based Policy Optimization. CoRR abs/2104.06922 (2021) - [i28]Lars Töttel, Maximilian Zipfl, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner:
Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality. CoRR abs/2105.01610 (2021) - [i27]Hannes Reichert, Lukas Lang, Kevin Rösch, Daniel Bogdoll, Konrad Doll, Bernhard Sick, Hans-Christian Reuss, Christoph Stiller, J. Marius Zöllner:
Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems. CoRR abs/2105.06896 (2021) - [i26]Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, J. Marius Zöllner:
A Survey on Deep Domain Adaptation for LiDAR Perception. CoRR abs/2106.02377 (2021) - [i25]Daniel Bogdoll, Stefan Orf, Lars Töttel, J. Marius Zöllner:
Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems. CoRR abs/2109.08599 (2021) - [i24]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR abs/2109.09607 (2021) - [i23]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
Self-Supervised Action-Space Prediction for Automated Driving. CoRR abs/2109.10024 (2021) - [i22]Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner:
Quantifying point cloud realism through adversarially learned latent representations. CoRR abs/2109.11775 (2021) - [i21]Sidney Bender, Tim Joseph, J. Marius Zöllner:
Cycle-Consistent World Models for Domain Independent Latent Imagination. CoRR abs/2110.00808 (2021) - [i20]Daniel Bogdoll, Johannes Jestram, Jonas Rauch, Christin Scheib, Moritz Wittig, J. Marius Zöllner:
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models. CoRR abs/2111.03201 (2021) - [i19]Maximilian Zipfl, J. Marius Zöllner:
Towards Traffic Scene Description: The Semantic Scene Graph. CoRR abs/2111.10196 (2021) - [i18]Faris Janjos, Maxim Dolgov, J. Marius Zöllner:
StarNet: Joint Action-Space Prediction with Star Graphs and Implicit Global Frame Self-Attention. CoRR abs/2111.13566 (2021) - [i17]Larissa T. Triess, David Peter, J. Marius Zöllner:
Semi-Local Convolutions for LiDAR Scan Processing. CoRR abs/2111.15615 (2021) - 2020
- [c155]Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner:
Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. CVPR Workshops 2020: 1399-1406 - [c154]Christian Hubschneider, Simon Roesler, J. Marius Zöllner:
Unsupervised Evaluation of Lidar Domain Adaptation. ITSC 2020: 1-6 - [c153]Stefan Jesenski, Jakob Rothert, Nils Tiemann, J. Marius Zöllner:
Using Sum-Product Networks for the Generation of Vehicle Populations On Highway Sections. ITSC 2020: 1-7 - [c152]Stefan Jesenski, Nils Tiemann, Jan Erik Stellet, J. Marius Zöllner:
Scalable Generation of Statistical Evidence for the Safety of Automated Vehicles by the Use of Importance Sampling. ITSC 2020: 1-8 - [c151]Svetlana Pavlitskaya, Sefa Ünver, J. Marius Zöllner:
Feasibility and Suppression of Adversarial Patch Attacks on End-to-End Vehicle Control. ITSC 2020: 1-8 - [c150]Maximilian Zipfl, Tobias Fleck, Marc René Zofka, J. Marius Zöllner:
From Traffic Sensor Data To Semantic Traffic Descriptions: The Test Area Autonomous Driving Baden-Württemberg Dataset (TAF-BW Dataset). ITSC 2020: 1-7 - [c149]Michael Weber, Christof Wendenius, J. Marius Zöllner:
Runtime Optimization of a CNN Model for Environment Perception. IV 2020: 272-277 - [c148]Larissa T. Triess, David Peter, Christoph B. Rist, J. Marius Zöllner:
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. IV 2020: 1116-1121 - [c147]Tobias Fleck, Sven Ochs, Marc René Zofka, J. Marius Zöllner:
Robust Tracking of Reference Trajectories for Autonomous Driving in Intelligent Roadside Infrastructure. IV 2020: 1337-1342 - [c146]Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. IV 2020: 1423-1429 - [c145]Karl Kurzer, Marcus Fechner, J. Marius Zöllner:
Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search. IV 2020: 1726-1733 - [c144]Philip Schörner, Mark Timon Hüneberg, J. Marius Zöllner:
Optimization of Sampling-Based Motion Planning in Dynamic Environments Using Neural Networks. IV 2020: 2110-2117 - [c143]Stefan Orf, Marc René Zofka, J. Marius Zöllner:
From Level Four to Five: Getting rid of the Safety Driver with Diagnostics in Autonomous Driving. MFI 2020: 19-25 - [c142]Marc René Zofka, Lars Töttel, Maximilian Zipfl, Marc Heinrich, Tobias Fleck, Patrick Schulz, J. Marius Zöllner:
Pushing ROS towards the Dark Side: A ROS-based Co-Simulation Architecture for Mixed-Reality Test Systems for Autonomous Vehicles. MFI 2020: 204-211 - [i16]Karl Kurzer, Marcus Fechner, J. Marius Zöllner:
Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search. CoRR abs/2002.00497 (2020) - [i15]Mathis Brosowsky, Olaf Dünkel, Daniel Slieter, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. CoRR abs/2003.10258 (2020) - [i14]Karl Kurzer, Christoph Hörtnagl, J. Marius Zöllner:
Parallelization of Monte Carlo Tree Search in Continuous Domains. CoRR abs/2003.13741 (2020) - [i13]Larissa T. Triess, David Peter, Christoph B. Rist, J. Marius Zöllner:
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. CoRR abs/2004.11803 (2020) - [i12]Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner:
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. CoRR abs/2012.01993 (2020)
2010 – 2019
- 2019
- [j8]Ming Gao, J. Marius Zöllner:
Sparse Contextual Task Learning and Classification to Assist Mobile Robot Teleoperation with Introspective Estimation. J. Intell. Robotic Syst. 93(3-4): 571-585 (2019) - [j7]Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann, J. Marius Zöllner:
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning. IEEE Robotics Autom. Lett. 4(2): 1053-1060 (2019) - [c141]Michael Weber, Lucas Volkert, Christian Hubschneider, J. Marius Zöllner:
CNN based Multi-View Object Detection and Association. ITSC 2019: 73-78 - [c140]Philip Schörner, Jens Doll, Maximilian Galm, J. Marius Zöllner:
Trajectory Planning for a Pseudo Omnidirectional Vehicle using Particle Swarm Optimization. ITSC 2019: 1454-1461 - [c139]Christian Hubschneider, Robin Hutmacher, J. Marius Zöllner:
Calibrating Uncertainty Models for Steering Angle Estimation. ITSC 2019: 1511-1518 - [c138]Stefan Jesenski, Jan Erik Stellet, Wolfgang Branz, J. Marius Zöllner:
Simulation-Based Methods for Validation of Automated Driving: A Model-Based Analysis and an Overview about Methods for Implementation. ITSC 2019: 1914-1921 - [c137]Florian Piewak, Peter Pinggera, Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. ITSC 2019: 3419-3426 - [c136]Johannes Buyer, Dominic Waldenmayer, Nico Sußmann, Raoul Zöllner, J. Marius Zöllner:
Interaction-Aware Approach for Online Parameter Estimation of a Multi-lane Intelligent Driver Model. ITSC 2019: 3967-3973 - [c135]Philip Schörner, Christian Hubschneider, Jonathan Härtl, Rupert Polley, J. Marius Zöllner:
Grid-Based Micro Traffic Prediction using Fully Convolutional Networks. ITSC 2019: 4540-4547 - [c134]Michael Weber, Michael Fürst, J. Marius Zöllner:
Direct 3D Detection of Vehicles in Monocular Images with a CNN based 3D Decoder. IV 2019: 417-423 - [c133]Stefan Jesenski, Jan Erik Stellet, Florian A. Schiegg, J. Marius Zöllner:
Generation of Scenes in Intersections for the Validation of Highly Automated Driving Functions. IV 2019: 502-509 - [c132]Philipp Rosenberger, Martin Holder, Sebastian Hueh, Hermann Winner, Tobias Fleck, Marc René Zofka, J. Marius Zöllner, Thomas D'hondt, Benjamin Wassermann:
Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models. IV 2019: 632-639 - [c131]Nils Gählert, Jun-Jun Wan, Michael Weber, J. Marius Zöllner, Uwe Franke, Joachim Denzler:
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images. IV 2019: 675-682 - [c130]Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner:
CNN-based synthesis of realistic high-resolution LiDAR data. IV 2019: 1512-1519 - [c129]Philip Schörner, Lars Töttel, Jens Doll, J. Marius Zöllner:
Predictive Trajectory Planning in Situations with Hidden Road Users Using Partially Observable Markov Decision Processes. IV 2019: 2299-2306 - [i11]Michael Weber, Michael Fürst, J. Marius Zöllner:
Automated Focal Loss for Image based Object Detection. CoRR abs/1904.09048 (2019) - [i10]Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner:
CNN-based synthesis of realistic high-resolution LiDAR data. CoRR abs/1907.00787 (2019) - [i9]Florian Piewak, Peter Pinggera, J. Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. CoRR abs/1907.02149 (2019) - 2018
- [j6]Ömer Sahin Tas, Niels Ole Salscheider, Fabian Poggenhans, Sascha Wirges, Claudio Bandera, Marc Rene Zofka, Tobias Strauss, Johann Marius Zöllner, Christoph Stiller:
Making Bertha Cooperate-Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge. IEEE Trans. Intell. Transp. Syst. 19(4): 1262-1276 (2018) - [c128]Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner:
Improved Semantic Stixels via Multimodal Sensor Fusion. GCPR 2018: 447-458 - [c127]Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zöllner:
Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation. ECCV Workshops (6) 2018: 497-513 - [c126]Tobias Fleck, Karam Daaboul, Michael Weber, Philip Schörner, Marek Wehmer, Jens Doll, Stefan Orf, Nico Sußmann, Christian Hubschneider, Marc René Zofka, Florian Kuhnt, Ralf Kohlhaas, Ingmar Baumgart, Raoul Zöllner, J. Marius Zöllner:
Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg. IAS 2018: 964-982 - [c125]Ulrich Baumann, Claudius Guiser, Michael Herman, J. Marius Zöllner:
Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network. ICRA 2018: 1-9 - [c124]Michael Weber, Matthias Huber, J. Marius Zöllner:
HDTLR: A CNN based Hierarchical Detector for Traffic Lights. ITSC 2018: 255-260 - [c123]Dominik Petrich, Darius Azarfar, Florian Kuhnt, J. Marius Zöllner:
The Fingerprint of a Traffic Situation: A Semantic Relationship Tensor for Situation Description and Awareness. ITSC 2018: 429-435 - [c122]Karl Kurzer, Florian Engelhorn, J. Marius Zöllner:
Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search. ITSC 2018: 452-459 - [c121]Ulrich Baumann, Yuan-Yao Huang, Claudius Gläser, Michael Herman, Holger Banzhaf, J. Marius Zöllner:
Classifying Road Intersections using Transfer-Learning on a Deep Neural Network. ITSC 2018: 683-690 - [c120]Holger Banzhaf, Maxim Dolgov, Jan Erik Stellet, J. Marius Zöllner:
From Footprints to Beliefprints: Motion Planning under Uncertainty for Maneuvering Automated Vehicles in Dense Scenarios. ITSC 2018: 1680-1687 - [c119]Ulrich Berger, Stefan Orf, Maximilian Muffert, J. Marius Zöllner:
Direct Geometrical Map to Low-Level Grid Map Registration for Robust Online Localization. ITSC 2018: 2223-2230 - [c118]Marc Rene Zofka, Stefan Ulbrich, Daniel Karl, Tobias Fleck, Ralf Kohlhaas, Arne Roennau, Rüdiger Dillmann, J. Marius Zöllner:
Traffic Participants in the Loop: A Mixed Reality-Based Interaction Testbed for the Verification and Validation of Autonomous Vehicles. ITSC 2018: 3583-3590 - [c117]Holger Banzhaf, Nijanthan Berinpanathan, Dennis Nienhüser, Johann Marius Zöllner:
From G2 to G3 Continuity: Continuous Curvature Rate Steering Functions for Sampling-Based Nonholonomic Motion Planning. Intelligent Vehicles Symposium 2018: 326-333 - [c116]Karl Kurzer, Chenyang Zhou, Johann Marius Zöllner:
Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search. Intelligent Vehicles Symposium 2018: 529-536 - [c115]Peter Wolf, Karl Kurzer, Tobias Wingert, Florian Kuhnt, J. Marius Zöllner:
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States. Intelligent Vehicles Symposium 2018: 993-1000 - [c114]Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun:
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. Intelligent Vehicles Symposium 2018: 1013-1020 - [c113]Marc Rene Zofka, Marc Essinger, Tobias Fleck, Ralf Kohlhaas, Johann Marius Zöllner:
The sleepwalker framework: Verification and validation of autonomous vehicles by mixed reality LiDAR stimulation. SIMPAR 2018: 151-157 - [i8]Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, David Pfeiffer, Markus Enzweiler, J. Marius Zöllner:
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation. CoRR abs/1804.09915 (2018) - [i7]Karl Kurzer, Chenyang Zhou, J. Marius Zöllner:
Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search. CoRR abs/1807.09530 (2018) - [i6]Karl Kurzer, Florian Engelhorn, J. Marius Zöllner:
Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search. CoRR abs/1809.03200 (2018) - [i5]Peter Wolf, Karl Kurzer, Tobias Wingert, Florian Kuhnt, J. Marius Zöllner:
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States. CoRR abs/1809.03214 (2018) - [i4]Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Johann Marius Zöllner:
Improved Semantic Stixels via Multimodal Sensor Fusion. CoRR abs/1809.08993 (2018) - [i3]Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann, J. Marius Zöllner:
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning. CoRR abs/1812.01127 (2018) - 2017
- [j5]Lars Pfotzer, Sebastian Klemm, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Autonomous navigation for reconfigurable snake-like robots in challenging, unknown environments. Robotics Auton. Syst. 89: 123-135 (2017) - [c112]Stefan Ulbrich, Terrence Steward, Igor Peric, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Model-based polynomial function approximation with spiking neural networks. IEEE ICCI*CC 2017: 22-27 - [c111]Igor Peric, Felix Schneider, Cameron H. Price, Stefan Ulbrich, Arne Roennau, Marius Zöllner, Rüdiger Dillmann:
Exact spike timing computational model of convolutional associative memories. IEEE ICCI*CC 2017: 182-190 - [c110]Ming Gao, J. Marius Zöllner:
Local contextual trajectory estimation with demonstration for assisting mobile robot teleoperation. ECMR 2017: 1-8 - [c109]Juan Camilo Vasquez Tieck, Heiko Donat, Jacques Kaiser, Igor Peric, Stefan Ulbrich, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. ICANN (1) 2017: 43-51 - [c108]Holger Banzhaf, Luigi Palmieri, Dennis Nienhüser, Thomas Schamm, Steffen Knoop, J. Marius Zöllner:
Hybrid curvature steer: A novel extend function for sampling-based nonholonomic motion planning in tight environments. ITSC 2017: 1-8 - [c107]Christian Hubschneider, André Bauer, Jens Doll, Michael Weber, Sebastian Klemm, Florian Kuhnt, J. Marius Zöllner:
Integrating end-to-end learned steering into probabilistic autonomous driving. ITSC 2017: 1-7 - [c106]Christian Hubschneider, André Bauer, Michael Weber, J. Marius Zöllner:
Adding navigation to the equation: Turning decisions for end-to-end vehicle control. ITSC 2017: 1-8 - [c105]Michael Weber, Christoph Rist, J. Marius Zöllner:
Learning temporal features with CNNs for monocular visual ego motion estimation. ITSC 2017: 1-6 - [c104]Peter Wolf, Christian Hubschneider, Michael Weber, André Bauer, Jonathan Härtl, Fabian Duerr, Johann Marius Zöllner:
Learning how to drive in a real world simulation with deep Q-Networks. Intelligent Vehicles Symposium 2017: 244-250 - [c103]Florian Piewak, Timo Rehfeld, Michael Weber, Johann Marius Zöllner:
Fully convolutional neural networks for dynamic object detection in grid maps. Intelligent Vehicles Symposium 2017: 392-398 - [c102]Holger Banzhaf, Frank-M. Quedenfeld, Dennis Nienhüser, Steffen Knoop, Johann Marius Zöllner:
High density valet parking using k-deques in driveways. Intelligent Vehicles Symposium 2017: 1413-1420 - [c101]Holger Banzhaf, Dennis Nienhüser, Steffen Knoop, Johann Marius Zöllner:
The future of parking: A survey on automated valet parking with an outlook on high density parking. Intelligent Vehicles Symposium 2017: 1827-1834 - [c100]Igor Peric, Alexandru Lesi, Daniel Spies, Stefan Ulbrich, Arne Roennau, Marius Zöllner, Rüdiger Dillmann:
Probabilistic Symbol Encoding for Convolutional Associative Memories. NEUROTECHNIX 2017: 22-29 - [c99]Igor Peric, Robert Hangu, Jacques Kaiser, Stefan Ulbrich, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Semi-Supervised Spiking Neural Network for One-Shot Object Appearance Learning. NEUROTECHNIX 2017: 47-53 - [c98]Sebastian Bittel, Timo Rehfeld, Michael Weber, J. Marius Zöllner:
Estimating high definition map parameters with convolutional neural networks. SMC 2017: 52-56 - [i2]Florian Piewak, Timo Rehfeld, Michael Weber, J. Marius Zöllner:
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps. CoRR abs/1709.03139 (2017) - 2016
- [c97]Jan Rohde, Inga Jatzkowski, Holger Mielenz, Johann Marius Zöllner:
Vehicle pose estimation in cluttered urban environments using multilayer adaptive Monte Carlo localization. FUSION 2016: 1774-1779 - [c96]Jan Erik Stellet, Leopold Walkling, J. Marius Zöllner:
Post processing of laser scanner measurements for testing advanced driver assistance systems. FUSION 2016: 1999-2006 - [c95]Ming Gao, Thomas Schamm, J. Marius Zöllner:
Contextual Task Recognition to Assist Mobile Robot Teleoperation with Introspective Estimation Using Gaussian Process. ICARSC 2016: 100-105 - [c94]Ming Gao, Ralf Kohlhaas, J. Marius Zöllner:
Unsupervised Contextual Task Learning and Recognition for Sharing Autonomy to Assist Mobile Robot Teleoperation. ICINCO (2) 2016: 238-245 - [c93]Jan Rohde, Jan Erik Stellet, Holger Mielenz, Johann Marius Zöllner:
Localization accuracy estimation with application to perception design. ICRA 2016: 4777-4783 - [c92]Florian Kuhnt, Stefan Orf, Sebastian Klemm, Johann Marius Zöllner:
Lane-precise localization of intelligent vehicles using the surrounding object constellation. ITSC 2016: 526-533 - [c91]Jan Rohde, Benjamin Völz, Holger Mielenz, Johann Marius Zöllner:
Precise vehicle localization in dense urban environments. ITSC 2016: 853-858 - [c90]Sebastian Klemm, Marc Essinger, Jan Oberländer, Marc Rene Zofka, Florian Kuhnt, Michael Weber, Ralf Kohlhaas, Alexander Kohs, Arne Roennau, Thomas Schamm, Johann Marius Zöllner:
Autonomous multi-story navigation for valet parking. ITSC 2016: 1126-1133 - [c89]Florian Kuhnt, Micha Pfeiffer, Peter Zimmer, David Zimmerer, Jan-Markus Gomer, Vitali Kaiser, Ralf Kohlhaas, J. Marius Zöllner:
Robust environment perception for the Audi Autonomous Driving Cup. ITSC 2016: 1424-1431 - [c88]Marc Rene Zofka, Sebastian Klemm, Florian Kuhnt, Thomas Schamm, Johann Marius Zöllner:
Testing and validating high level components for automated driving: simulation framework for traffic scenarios. Intelligent Vehicles Symposium 2016: 144-150 - [c87]Jan Erik Stellet, Patrick Vogt, Jan Schumacher, Wolfgang Branz, J. Marius Zöllner:
Analytical derivation of performance bounds of autonomous emergency brake systems. Intelligent Vehicles Symposium 2016: 220-226 - [c86]Ömer Sahin Tas, Florian Kuhnt, J. Marius Zöllner, Christoph Stiller:
Functional system architectures towards fully automated driving. Intelligent Vehicles Symposium 2016: 304-309 - [c85]Michael Weber, Peter Wolf, J. Marius Zöllner:
DeepTLR: A single deep convolutional network for detection and classification of traffic lights. Intelligent Vehicles Symposium 2016: 342-348 - [c84]Florian Kuhnt, Jens Schulz, Thomas Schamm, J. Marius Zöllner:
Understanding interactions between traffic participants based on learned behaviors. Intelligent Vehicles Symposium 2016: 1271-1278 - [c83]Jacques Kaiser, Juan Camilo Vasquez Tieck, Christian Hubschneider, Peter Wolf, Michael Weber, Michael Hoff, Alexander Friedrich, Konrad Wojtasik, Arne Roennau, Ralf Kohlhaas, Rüdiger Dillmann, Johann Marius Zöllner:
Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks. SIMPAR 2016: 127-134 - [c82]Marc Rene Zofka, Florian Kuhnt, Ralf Kohlhaas, Johann Marius Zöllner:
Simulation framework for the development of autonomous small scale vehicles. SIMPAR 2016: 318-324 - [c81]Ming Gao, Ralf Kohlhaas, Johann Marius Zöllner:
Contextual learning and sharing autonomy to assist mobile robot by trajectory prediction. SSRR 2016: 274-275 - [i1]Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun:
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. CoRR abs/1612.07695 (2016) - 2015
- [j4]Johann Marius Zöllner, Thomas Schamm:
Autonomous driving. it Inf. Technol. 57(4): 213-214 (2015) - [c80]Florian Kuhnt, Ralf Kohlhaas, Thomas Schamm, Johann Marius Zöllner:
Towards a unified traffic situation estimation model - Street-dependent behaviour and motion models. FUSION 2015: 1223-1229 - [c79]Marc Rene Zofka, Florian Kuhnt, Ralf Kohlhaas, Christoph Rist, Thomas Schamm, J. Marius Zöllner:
Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems. FUSION 2015: 1422-1428 - [c78]Ming Gao, Thomas Schamm, Johann Marius Zöllner:
Multiple Contextual Task Recognition for Sharing Autonomy to Assist Mobile Robot Teleoperation. ICIRA (2) 2015: 3-14 - [c77]Jan Rohde, Jan Erik Stellet, Holger Mielenz, J. Marius Zöllner:
Model-Based Derivation of Perception Accuracy Requirements for Vehicle Localization in Urban Environments. ITSC 2015: 712-718 - [c76]Jan Erik Stellet, Marc Rene Zofka, Jan Schumacher, Thomas Schamm, Frank Niewels, Johann Marius Zöllner:
Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open Questions. ITSC 2015: 1455-1462 - [c75]Jan Erik Stellet, Fabian Straub, Jan Schumacher, Wolfgang Branz, J. Marius Zöllner:
Estimating the Process Noise Variance for Vehicle Motion Models. ITSC 2015: 1512-1519 - [c74]Ralf Kohlhaas, Daniel Hammann, Thomas Schamm, J. Marius Zöllner:
Planning of High-Level Maneuver Sequences on Semantic State Spaces. ITSC 2015: 2090-2096 - [c73]Jan Erik Stellet, Jan Schumacher, Wolfgang Branz, J. Marius Zöllner:
Performance bounds on change detection with application to manoeuvre recognition for advanced driver assistance systems. Intelligent Vehicles Symposium 2015: 1112-1119 - [c72]Jan Erik Stellet, Jan Schumacher, Wolfgang Branz, J. Marius Zöllner:
Uncertainty propagation in criticality measures for driver assistance. Intelligent Vehicles Symposium 2015: 1187-1194 - [c71]Qi Chen, Ting Yuan, Jörg Hillenbrand, Axel Gern, Tobias Roth, Florian Kuhnt, J. Marius Zöllner, Jakob Breu, Miro Bogdanovic, Christian Weiss:
DSRC and radar object matching for cooperative driver assistance systems. Intelligent Vehicles Symposium 2015: 1348-1354 - [c70]Sebastian Klemm, Jan Oberländer, Andreas Hermann, Arne Roennau, Thomas Schamm, Johann Marius Zöllner, Rüdiger Dillmann:
RRT∗-Connect: Faster, asymptotically optimal motion planning. ROBIO 2015: 1670-1677 - [c69]Ming Gao, Thomas Schamm, Johann Marius Zöllner:
Online and incremental contextual task learning and recognition for sharing autonomy to assist mobile robot teleoperation. ROBIO 2015: 2053-2058 - 2014
- [c68]Jan Erik Stellet, Jan Schumacher, Oliver Lange, Wolfgang Branz, Frank Niewels, Johann Marius Zöllner:
Statistical Modelling of Object Detection in Stereo Vision-Based Driver Assistance. IAS 2014: 749-761 - [c67]Ming Gao, Jan Oberländer, Thomas Schamm, J. Marius Zöllner:
Contextual task-aware shared autonomy for assistive mobile robot teleoperation. IROS 2014: 3311-3318 - [c66]Arne Roennau, Georg Heppner, Michal Nowicki, Johann Marius Zöllner, Rüdiger Dillmann:
Reactive posture behaviors for stable legged locomotion over steep inclines and large obstacles. IROS 2014: 4888-4894 - [c65]Marc Rene Zofka, Ralf Kohlhaas, Tobias Bär, Sebastian Schwab, Thomas Schamm, Johann Marius Zöllner:
Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the Loop. ISVC (1) 2014: 752-762 - [c64]Ralf Kohlhaas, Thomas Bittner, Thomas Schamm, J. Marius Zöllner:
Semantic state space for high-level maneuver planning in structured traffic scenes. ITSC 2014: 1060-1065 - [c63]Jan Micha Borrmann, Frederik Haxel, Dennis Nienhüser, Alexander Viehl, J. Marius Zöllner, Oliver Bringmann, Wolfgang Rosenstiel:
STELLaR - A case-study on SysTEmaticaLLy embedding a Traffic Light Recognition. ITSC 2014: 1258-1265 - [c62]Florian Kuhnt, Ralf Kohlhaas, Rüdiger Jordan, Thomas Gußner, Thomas Gumpp, Thomas Schamm, J. Marius Zöllner:
Particle filter map matching and trajectory prediction using a spline based intersection model. ITSC 2014: 1892-1893 - [c61]Jan Erik Stellet, Christian Heigele, Florian Kuhnt, J. Marius Zöllner, Dieter Schramm:
Performance evaluation and statistical analysis of algorithms for ego-motion estimation. ITSC 2014: 2125-2131 - [c60]Marc Rene Zofka, Ralf Kohlhaas, Thomas Schamm, J. Marius Zöllner:
Semivirtual simulations for the evaluation of vision-based ADAS. Intelligent Vehicles Symposium 2014: 121-126 - [c59]Jan Oberländer, Sebastian Klemm, Marc Essinger, Arne Roennau, Thomas Schamm, J. Marius Zöllner, Rüdiger Dillmann:
A semantic approach to sensor-independent vehicle localization. Intelligent Vehicles Symposium 2014: 1351-1357 - [c58]Ming Gao, Jan Oberländer, Thomas Schamm, J. Marius Zöllner:
Shared autonomy for assisted mobile robot teleoperation by recognizing operator intention as contextual task. ROBIO 2014: 82-87 - 2013
- [c57]Andreas Hermann, J. Sun, Zhixing Xue, Steffen W. Ruehl, Jan Oberländer, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Hardware and software architecture of the bimanual mobile manipulation robot HoLLiE and its actuated upper body. AIM 2013: 286-292 - [c56]Thomas Witzig, Johann Marius Zöllner, Dejan Pangercic, Sarah Osentoski, Rainer Jäkel, Rüdiger Dillmann:
Context aware shared autonomy for robotic manipulation tasks. IROS 2013: 5686-5693 - [c55]Tobias Bär, Denys Linke, Dennis Nienhüser, Johann Marius Zöllner:
Seen and missed traffic objects: A traffic object-specific awareness estimation. Intelligent Vehicles Symposium 2013: 31-36 - [c54]Ralf Kohlhaas, Thomas Schamm, Dominik Lenk, J. Marius Zöllner:
Towards driving autonomously: Autonomous cruise control in urban environments. Intelligent Vehicles Symposium 2013: 116-121 - [c53]Dennis Nienhiiser, Johann Marius Zöllner:
Batch-mode active learning for traffic sign recognition. Intelligent Vehicles Symposium 2013: 541-546 - 2012
- [j3]Dennis Nienhüser, Tobias Bär, Ralf Kohlhaas, Thomas Schamm, Jochen Zimmermann, Thomas Gumpp, Marcus Strand, Oliver Bringmann, Johann Marius Zöllner:
Energy Efficient Driving and Operation Strategies Based on Situation Awareness and Reasoning. it Inf. Technol. 54(1): 5-16 (2012) - [c52]Florian Steinhardt, Marcus Strand, Johann Marius Zöllner:
Autonomous Navigation of a Personal Transporter within Moving Human Groups Using Reactive Control. IAS (1) 2012: 81-90 - [c51]Thomas Gumpp, Jan Oberländer, J. Marius Zöllner:
Probabilistic hierarchical detection, representation and scene interpretation of lanes and roads. ICVES 2012: 211-216 - [c50]Tobias Bär, Jan Felix Reuter, J. Marius Zöllner:
Driver head pose and gaze estimation based on multi-template ICP 3-D point cloud alignment. ITSC 2012: 1797-1802 - [p2]Rainer Bischoff, Johann Marius Zöllner:
Editorial. Towards Service Robots for Everyday Environments 2012: 329-330 - [p1]Zhixing Xue, Steffen W. Rühl, Johann Marius Zöllner, Rüdiger Dillmann:
An Automatic Grasp Planning System for Multi-fingered Robotic Hands. Towards Service Robots for Everyday Environments 2012: 391-402 - [e2]Erwin Prassler, Johann Marius Zöllner, Rainer Bischoff, Wolfram Burgard, Robert Haschke, Martin Hägele, Gisbert Lawitzky, Bernhard Nebel, Paul-Gerhard Plöger, Ulrich Reiser:
Towards Service Robots for Everyday Environments - Recent Advances in Designing Service Robots for Complex Tasks in Everyday Environments. Springer Tracts in Advanced Robotics 76, Springer 2012, ISBN 978-3-642-25115-3 [contents] - 2011
- [c49]Thomas Schamm, Johann Marius Zöllner:
A model-based approach to probabilistic situation assessment for driver assistance systems. ITSC 2011: 1404-1409 - [c48]Dennis Nienhüser, Thomas Gumpp, J. Marius Zöllner:
Relevance estimation of traffic elements using Markov logic networks. ITSC 2011: 1659-1664 - [c47]Michael Hülsen, J. Marius Zöllner, Nino Haeberlen, Christian Weiss:
Asynchronous real-time framework for knowledge-based intersection assistance. ITSC 2011: 1680-1685 - [c46]Tobias Bär, Dennis Nienhüser, Ralf Kohlhaas, J. Marius Zöllner:
Probabilistic driving style determination by means of a situation based analysis of the vehicle data. ITSC 2011: 1698-1703 - [c45]Ralf Kohlhaas, Thomas Schamm, Dennis Nienhüser, J. Marius Zöllner:
Anticipatory energy saving assistant for approaching slower vehicles. ITSC 2011: 1966-1971 - [c44]Michael Hülsen, Johann Marius Zöllner, Christian Weiss:
Traffic intersection situation description ontology for advanced driver assistance. Intelligent Vehicles Symposium 2011: 993-999 - [c43]Thomas Gumpp, Dennis Nienhüser, Johann Marius Zöllner:
Lane confidence fusion for visual occupancy estimation. Intelligent Vehicles Symposium 2011: 1043-1048 - [c42]Zhixing Xue, Shuang Xia, Marcus Strand, Johann Marius Zöllner, Rüdiger Dillmann:
A ray-shooting based quality measurement for grasping and manipulation. ROBIO 2011: 1930-1935 - 2010
- [c41]Matthias Müller, Axel G. Braun, Joachim Gerlach, Wolfgang Rosenstiel, Dennis Nienhüser, Johann Marius Zöllner, Oliver Bringmann:
Design of an automotive traffic sign recognition system targeting a multi-core SoC implementation. DATE 2010: 532-537 - [c40]Thomas Schamm, Arne Roennau, Johann Marius Zöllner:
Fast 3D Time of Flight Data Segmentation Using the U-V-Histogram Approach. ICIRA (1) 2010: 618-629 - [c39]Thomas Gumpp, Dennis Nienhüser, Johann Marius Zöllner:
Physical road marker property estimation using monoscopic vision. ICRA 2010: 1022-1027 - [c38]Michael Göller, Florian Steinhardt, Thilo Kerscher, Johann Marius Zöllner, Rüdiger Dillmann:
Proactive avoidance of moving obstacles for a service robot utilizing a behavior-based control. IROS 2010: 5984-5989 - [c37]Dennis Nienhüser, Markus Drescher, J. Marius Zöllner:
Visual state estimation of traffic lights using hidden Markov models. ITSC 2010: 1705-1710 - [c36]Thomas Schamm, Christoph von Carlowitz, Johann Marius Zöllner:
On-road vehicle detection during dusk and at night. Intelligent Vehicles Symposium 2010: 418-423 - [c35]Michael Teutsch, Thomas Heger, Thomas Schamm, Johann Marius Zöllner:
3D-segmentation of traffic environments with u/v-disparity supported by radar-given masterpoints. Intelligent Vehicles Symposium 2010: 787-792 - [c34]Dennis Nienhüser, Thomas Gumpp, Johann Marius Zöllner, Koba Natroshvili:
Fast and reliable recognition of supplementary traffic signs. Intelligent Vehicles Symposium 2010: 896-901 - [c33]Johann Marius Zöllner, Thomas Schamm, Dennis Nienhüser, Thomas Gumpp, Florian Steinhardt, Tobias Bär, Marcus Strand, Ralf Kohlhaas:
Advanced technical cognitive systems for mobility assistance. KIT-Nachwuchswissenschaftler-Symposium 2010: 9-18 - [c32]Ralf Kohlhaas, Thomas Schamm, Marcus Strand, J. Marius Zöllner:
Flexible fusion of 2D images and 3D time of flight data using plane segmentation. MFI 2010: 242-247
2000 – 2009
- 2009
- [j2]Michael Göller, Florian Steinhardt, Thilo Kerscher, Johann Marius Zöllner, Rüdiger Dillmann:
Robust navigation system based on RFID transponder barriers for the interactive behavior-operated shopping trolley (InBOT). Ind. Robot 36(4): 377-388 (2009) - [c31]Marco Ziegenmeyer, Arne Roennau, Thilo Kerscher, Johann Marius Zöllner, Rüdiger Dillmann:
Die sechsbeinige Laufmaschine LAURON IVc. AMS 2009: 225-232 - [c30]Michael Göller, Thilo Kerscher, Johann Marius Zöllner, Rüdiger Dillmann, Michel Devy, Thierry Germa, Frédéric Lerasle:
Setup and control architecture for an interactive Shopping Cart in human all day environments. ICAR 2009: 1-6 - [c29]Thilo Kerscher, Michael Göller, Marco Ziegenmeyer, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Intuitive control for the mobile Service Robot InBOT using haptic interaction. ICAR 2009: 1-6 - [c28]Jens U. Kühnle, Alexander Verl, Zhixing Xue, Steffen W. Ruehl, Johann Marius Zöllner, Rüdiger Dillmann, Thilo Grundmann, Robert Eidenberger, Raoul Daniel Zöllner:
6D object localization and obstacle detection for collision-free manipulation with a mobile service robot. ICAR 2009: 1-6 - [c27]Younes Raoui, Michael Göller, Michel Devy, Thilo Kerscher, Johann Marius Zöllner, Rüdiger Dillmann, A. Coustou:
RFID-based topological and metrical self-localization in a structured environment. ICAR 2009: 1-6 - [c26]Thomas Schamm, Marcus Strand, Thomas Gumpp, Ralf Kohlhaas, Johann Marius Zöllner, Rüdiger Dillmann:
Vision and ToF-based driving assistance for a personal transporter. ICAR 2009: 1-6 - [c25]Zhixing Xue, Alexander Kasper, Johann Marius Zöllner, Rüdiger Dillmann:
An automatic grasp planning system for service robots. ICAR 2009: 1-6 - [c24]Marco Ziegenmeyer, Klaus Uhl, Johann Marius Zöllner, Rüdiger Dillmann:
Autonomous Inspection of Complex Environments by Means of Semantic Techniques. AIAI Workshops 2009: 303-310 - [c23]Steffen W. Rühl, Zhixing Xue, Johann Marius Zöllner, Rüdiger Dillmann:
Integration of a loop based and an event based framework for control of a bimanual dextrous service robot. ROBIO 2009: 110-116 - [e1]Rüdiger Dillmann, Jürgen Beyerer, Christoph Stiller, Johann Marius Zöllner, Tobias Gindele:
Autonome Mobile Systeme 2009 - 21. Fachgespräch, Karlsruhe, 3./4. Dezember 2009. Informatik Aktuell, Springer 2009, ISBN 978-3-642-10283-7 [contents] - 2008
- [j1]Thomas Schamm, Johann Marius Zöllner, Stefan Vacek, Joachim Schröder, Rüdiger Dillmann:
Obstacle detection with a Photonic Mixing Device-camera in autonomous vehicles. Int. J. Intell. Syst. Technol. Appl. 5(3/4): 315-324 (2008) - [c22]Zhixing Xue, Johann Marius Zöllner, Rüdiger Dillmann:
Planning regrasp operations for a multifingered robotic hand. CASE 2008: 778-783 - [c21]Jan Oberländer, Klaus Uhl, Johann Marius Zöllner, Rüdiger Dillmann:
A region-based SLAM algorithm capturing metric, topological, and semantic properties. ICRA 2008: 1886-1891 - [c20]Zhixing Xue, Johann Marius Zöllner, Rüdiger Dillmann:
Dexterous manipulation planning of objects with surface of revolution. IROS 2008: 2703-2708 - [c19]Jens U. Kühnle, Zhixing Xue, Martin Stotz, Johann Marius Zöllner, Alexander Verl, Rüdiger Dillmann:
Grasping in Depth maps of time-of-flight cameras. ROSE 2008: 132-137 - 2007
- [c18]Klaus Uhl, Marco Ziegenmeyer, Bernd Gaßmann, Johann Marius Zöllner, Rüdiger Dillmann:
Entwurf einer semantischen Missionssteuerung für autonome Serviceroboter. AMS 2007: 103-109 - [c17]Dennis Nienhüser, Marco Ziegenmeyer, Thomas Gumpp, Kai-Ulrich Scholl, Johann Marius Zöllner, Rüdiger Dillmann:
Kamera-basierte Erkennung von Geschwindigkeitsbeschränkungen auf deutschen Straßen. AMS 2007: 212-218 - [c16]Thomas Schamm, Stefan Vacek, Koba Natroshvili, Johann Marius Zöllner, Rüdiger Dillmann:
Hinderniserkennung und -verfolgung mit einer PMD-kamera im automobil. AMS 2007: 219-225 - [c15]Thomas Gumpp, Thomas Schamm, Stephan Bergmann, Johann Marius Zöllner, Rüdiger Dillmann:
PMD basierte Fahrspurerkennung und -Verfolgung für Fahrerassistenzsysteme. AMS 2007: 226-232 - [c14]Thilo Kerscher, Michael Göller, Johann Marius Zöllner, Rüdiger Dillmann:
Regelungsstrategie für zweibeiniges elastisches Laufen mittels "Virtual Model Control". AMS 2007: 268-274 - [c13]Stefan Vacek, Tobias Gindele, Johann Marius Zöllner, Rüdiger Dillmann:
Using case-based reasoning for autonomous vehicle guidance. IROS 2007: 4271-4276 - [c12]Zhixing Xue, Johann Marius Zöllner, Rüdiger Dillmann:
Grasp planning: Find the contact points. ROBIO 2007: 835-840 - [c11]Clemens Birkenhofer, Kristian Regenstein, J. Marius Zöllner, Rüdiger Dillmann:
Architecture of Multi-segmented Inspection Robot KAIRO-II. RoMoCo 2007: 381-389 - 2006
- [b1]