Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review
Journal article, 2023
automated vehicles
deep learning
neural networks
survey
trajectory
intention
Pedestrian behavior prediction
Author
Chi Zhang
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Christian Berger
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
IEEE Transactions on Intelligent Transportation Systems
1524-9050 (ISSN) 1558-0016 (eISSN)
Vol. 24 10 10279-10301Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT)
European Commission (EC) (EC/H2020/860410), 2019-10-01 -- 2023-09-30.
Areas of Advance
Information and Communication Technology
Transport
Infrastructure
ReVeRe (Research Vehicle Resource)
Subject Categories
Robotics
Computer Science
Computer Vision and Robotics (Autonomous Systems)
DOI
10.1109/TITS.2023.3281393