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Authors: Mario Garzón ; David Garzón-Ramos ; Antonio Barrientos and Jaime del Cerro

Affiliation: Centro de Automática y Robótica UPM - CSIC, Spain

Keyword(s): Pedestrian Trajectory Prediction, Planning-based Prediction, Trajectory Forecast.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Autonomous Agents ; Collective and Social Robots ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Mobile Robots and Autonomous Systems ; Planning and Scheduling ; Robotics and Automation ; Simulation and Modeling ; Surveillance ; Symbolic Systems

Abstract: This paper presents a pedestrian trajectory prediction technique. Its mail novelty is that it does not require any previous observation or knowledge of pedestrian trajectories, thus making it useful for autonomous surveillance applications. The prediction requires only a set of possible goals, a map of the scenario and the initial position of the pedestrian. Then, it uses two different path planing algorithms to find the possible routes and transforms the similarity between observed and planned routes into probabilities. Finally, it applies a motion model to obtain a time-stamped predicted trajectory. The system has been used in combination with a pedestrian detection and tracking system for real-world tests as well as a simulation software for a large number of executions.

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Paper citation in several formats:
Garzón, M. ; Garzón-Ramos, D. ; Barrientos, A. and Cerro, J. (2016). Pedestrian Trajectory Prediction in Large Infrastructures - A Long-term Approach based on Path Planning. In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-198-4; ISSN 2184-2809, SciTePress, pages 381-389. DOI: 10.5220/0005983303810389

@conference{icinco16,
author={Mario Garzón and David Garzón{-}Ramos and Antonio Barrientos and Jaime del Cerro},
title={Pedestrian Trajectory Prediction in Large Infrastructures - A Long-term Approach based on Path Planning},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2016},
pages={381-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005983303810389},
isbn={978-989-758-198-4},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Pedestrian Trajectory Prediction in Large Infrastructures - A Long-term Approach based on Path Planning
SN - 978-989-758-198-4
IS - 2184-2809
AU - Garzón, M.
AU - Garzón-Ramos, D.
AU - Barrientos, A.
AU - Cerro, J.
PY - 2016
SP - 381
EP - 389
DO - 10.5220/0005983303810389
PB - SciTePress

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