Physics-informed learning framework for autonomous vehicle platooning (IMAGE)

Tsinghua University Press

Physics-informed learning framework for autonomous vehicle platooning

Caption

The proposed framework integrates multi-source sensor fusion, model-based MPC-LFFC control, and learning-based calibration and compensation modules to improve the robustness and adaptability of autonomous vehicle platooning under real-world conditions.

Credit

Communications in Transportation Research

Usage Restrictions

News organizations may use or redistribute this image, with proper attribution, as part of news coverage of this paper only.

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.