Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behaviour

Camara, F orcid.org/0000-0002-2655-1228, Bellotto, N, Cosar, S et al. (11 more authors) (2020) Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behaviour. IEEE Transactions on Intelligent Transportation Systems. ISSN 1524-9050

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 IEEE. All rights reserved. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Review, survey, pedestrians, autonomous vehicles, sensing, detection, tracking, trajectory prediction, pedestrian interaction, microscopic and macroscopic behavior models, game-theoretic models, signalling models, eHMI, datasets
Dates:
  • Accepted: 9 April 2020
  • Published (online): 28 July 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Funding Information:
FunderGrant number
EU - European Union723395
Depositing User: Symplectic Publications
Date Deposited: 02 Jul 2020 15:38
Last Modified: 16 Sep 2020 11:38
Status: Published online
Publisher: IEEE
Identification Number: https://doi.org/10.1109/TITS.2020.3006767

Share / Export

Statistics