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Authors: Qazi Hamza Jan ; Jan Markus Arnold Kleen and Karsten Berns

Affiliation: Robotics Research Lab, Technische Universität Kaiserslautern, 67663 Kaiserslautern, Germany

Keyword(s): Pedestrian Simulation, Pedestrian Path, Autonomous-vehicles, Testing, Virtual Pedestrians.

Abstract: With the rise of autonomous vehicles in the urban environment, the focus is also shifted towards autonomous vehicles in pedestrian zones. Pedestrian safety becomes the primary concern in such zones. Autonomous systems for these situations need thorough testing before its deployment in the real-world to ensure safety. Therefore, developing testbeds that resemble the real-world for autonomous vehicles testing in pedestrian zones are highly critical. The proposed work focuses on the modeling of pedestrian behaviors in a simulated environment for realizing autonomous vehicles in the pedestrian zones. The virtual pedestrians are modeled with the self-awareness to avoid static and dynamic obstacles when progressing towards its goal. The goal is also to have a minimum number of parameters to generate various test scenarios with realistic behaving pedestrians for the autonomous systems. The proposed system is evaluated using individual and group of virtual pedestrians. It can be seen from th e experiments that simulated pedestrians show trajectories which resemble the trajectories of pedestrians in the real-world for that particular situation. (More)

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Paper citation in several formats:
Jan, Q.; Kleen, J. and Berns, K. (2020). Self-aware Pedestrians Modeling for Testing Autonomous Vehicles in Simulation. In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-419-0; ISSN 2184-495X, SciTePress, pages 577-584. DOI: 10.5220/0009377505770584

@conference{vehits20,
author={Qazi Hamza Jan. and Jan Markus Arnold Kleen. and Karsten Berns.},
title={Self-aware Pedestrians Modeling for Testing Autonomous Vehicles in Simulation},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2020},
pages={577-584},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009377505770584},
isbn={978-989-758-419-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Self-aware Pedestrians Modeling for Testing Autonomous Vehicles in Simulation
SN - 978-989-758-419-0
IS - 2184-495X
AU - Jan, Q.
AU - Kleen, J.
AU - Berns, K.
PY - 2020
SP - 577
EP - 584
DO - 10.5220/0009377505770584
PB - SciTePress

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