Integrated Graphical Representation of Highway Scenarios to Improve Trajectory Prediction of Surrounding Vehicles

Author:

Hou Lian1ORCID,Li Shengbo Eben2ORCID,Yang Bo1ORCID,Wang Zheng1ORCID,Nakano Kimihiko1ORCID

Affiliation:

1. Institute of Industrial Science, the University of Tokyo, Tokyo, Japan

2. State Key Lab of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China

Funder

NSF China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

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1. Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving;IEEE Transactions on Intelligent Vehicles;2024-04

3. CAV driving safety monitoring and warning via V2X-based edge computing system;Frontiers of Engineering Management;2024-02-08

4. Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles;IEEE Transactions on Intelligent Transportation Systems;2024

5. A Review of Deep Learning-Based Vehicle Motion Prediction for Autonomous Driving;Sustainability;2023-10-10

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