Analyzing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios using Deep Learning
Paper in proceeding, 2023
Deep learning
behavior analysis
automated vehicles
trajectory prediction
pedestrian behavior prediction
pedestrian interactions
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
Transportation Research Procedia
23521457 (ISSN) 23521465 (eISSN)
Vol. 72Lisboa, Portugal,
Supporting 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
Subject Categories
Computer and Information Science
Transport Systems and Logistics
Computer Vision and Robotics (Autonomous Systems)
DOI
10.1016/j.trpro.2023.11.637