Vision-Based Real-Time Online Vulnerable Traffic Participants Trajectory Prediction for Autonomous Vehicle
Author:
Affiliation:
1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China
2. School of Mechanical Engineering and Moe Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China
Funder
Key Special Projects for International Cooperation in Science and Technology Innovation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/10109992/09978668.pdf?arnumber=9978668
Reference48 articles.
1. Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study
2. Attention Based Vehicle Trajectory Prediction
3. A Data-Driven Method Towards Minimizing Collision Severity for Highly Automated Vehicles
4. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
5. Pedestrian Path Prediction for Autonomous Driving at Un-Signalized Crosswalk Using W/CDM and MSFM
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