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2020 – today
- 2024
[c8]Alessandro Toschi, Nicola Musiu, Francesco Gatti, Ayoub Raji, Francesco Amerotti, Micaela Verucchi, Marko Bertogna:
Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation. IV 2024: 885-891- [i8]Alessandro Toschi, Nicola Musiu, Francesco Gatti, Ayoub Raji, Francesco Amerotti, Micaela Verucchi, Marko Bertogna:
Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation. CoRR abs/2405.05668 (2024) - 2023
- [j5]Marco Legittimo
, Simone Felicioni, Fabio Bagni, Andrea Tagliavini, Alberto Dionigi, Francesco Gatti, Micaela Verucchi, Gabriele Costante, Marko Bertogna:
A benchmark analysis of data-driven and geometric approaches for robot ego-motion estimation. J. Field Robotics 40(3): 626-654 (2023) - [j4]Davide Sapienza, Elena Govi, Sara Aldhaheri, Marko Bertogna, Eloy Roura, Èric Pairet, Micaela Verucchi, Paola Ardón:
Model-Based Underwater 6D Pose Estimation From RGB. IEEE Robotics Autom. Lett. 8(11): 7535-7542 (2023) - [j3]Micaela Verucchi, Ignacio Sañudo Olmedo, Marko Bertogna:
A survey on real-time DAG scheduling, revisiting the Global-Partitioned Infinity War. Real Time Syst. 59(3): 479-530 (2023) - [i7]Davide Sapienza, Elena Govi, Sara Aldhaheri, Giorgia Franchini, Marko Bertogna, Eloy Roura, Èric Pairet, Micaela Verucchi, Paola Ardón:
Model-Based Underwater 6D Pose Estimation from RGB. CoRR abs/2302.06821 (2023) - [i6]Elena Govi, Davide Sapienza, Carmelo Scribano, Tobia Poppi, Giorgia Franchini, Paola Ardón, Micaela Verucchi, Marko Bertogna:
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation. CoRR abs/2304.08230 (2023) - [i5]Ayoub Raji, Danilo Caporale, Francesco Gatti, Andrea Giove, Micaela Verucchi, Davide Malatesta, Nicola Musiu, Alessandro Toschi, Silviu Roberto Popitanu, Fabio Bagni, Massimiliano Bosi, Alexander Liniger, Marko Bertogna, Daniele Morra, Francesco Amerotti, Luca Bartoli, Federico Martello, Riccardo Porta:
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds. CoRR abs/2310.18112 (2023) - 2022
- [j2]Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato:
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. Algorithms 15(10): 386 (2022) - [j1]Roberto Cavicchioli, Riccardo Martoglia, Micaela Verucchi:
A Novel Real-Time Edge-Cloud Big Data Management and Analytics Framework for Smart Cities. J. Univers. Comput. Sci. 28(1): 3-26 (2022) - [c7]Ayoub Raji, Alexander Liniger, Andrea Giove, Alessandro Toschi, Nicola Musiu, Daniele Morra, Micaela Verucchi, Danilo Caporale, Marko Bertogna:
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds. ITSC 2022: 2775-2782 - [i4]Ayoub Raji, Alexander Liniger, Andrea Giove, Alessandro Toschi, Nicola Musiu, Daniele Morra, Micaela Verucchi, Danilo Caporale, Marko Bertogna:
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds. CoRR abs/2207.11136 (2022) - 2021
- [c6]Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna:
All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. CVPR Workshops 2021: 4253-4262 - [c5]Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha:
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. MECO 2021: 1-4 - [i3]Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha:
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. CoRR abs/2106.04146 (2021) - [i2]Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna:
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers. CoRR abs/2106.10153 (2021) - 2020
- [c4]Micaela Verucchi, Gianluca Brilli, Davide Sapienza, Mattia Verasani, Marco Arena, Francesco Gatti, Alessandro Capotondi, Roberto Cavicchioli, Marko Bertogna, Marco Solieri:
A Systematic Assessment of Embedded Neural Networks for Object Detection. ETFA 2020: 937-944 - [c3]Micaela Verucchi, Luca Bartoli, Fabio Bagni, Francesco Gatti, Paolo Burgio, Marko Bertogna:
Real-Time clustering and LiDAR-camera fusion on embedded platforms for self-driving cars. IRC 2020: 398-405 - [c2]Micaela Verucchi, Mirco Theile, Marco Caccamo, Marko Bertogna:
Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. RTAS 2020: 226-238
2010 – 2019
- 2019
- [c1]Giorgia Franchini, Mathilde Galinier, Micaela Verucchi:
Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. INNSBDDL 2019: 286-295 - [i1]Giorgia Franchini, Mathilde Galinier, Micaela Verucchi:
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning. CoRR abs/1907.00924 (2019)
Coauthor Index
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last updated on 2024-08-01 20:16 CEST by the dblp team
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