Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios
Author:
Affiliation:
1. Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Telangana, India
2. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore
Funder
Design and Development of Machine Learning Algorithms for Traffic Analytics
National Research Foundation Singapore
AI Singapore Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/10073596/10075402.pdf?arnumber=10075402
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4. DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
5. Social LSTM: Human Trajectory Prediction in Crowded Spaces
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