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A Physics Enhanced Residual Learning (PERL) Framework for Vehicle
  Trajectory Prediction

A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction

26 September 2023
Keke Long
Zihao Sheng
Haotian Shi
Xiaopeng Li
Sikai Chen
Sue Ahn
ArXivPDFHTML

Papers citing "A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction"

4 / 4 papers shown
Title
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Socially-Aware and Human-AI Collaborative Future Transportation
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Socially-Aware and Human-AI Collaborative Future Transportation
Zilin Huang
Zihao Sheng
Zhengyang Wan
Yansong Qu
Yuhao Luo
...
Jiancong Chen
Keke Long
Jiayi Meng
Yue Leng
Sikai Chen
50
0
0
25 Apr 2025
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Zihao Sheng
Zilin Huang
Sikai Chen
23
8
0
30 Aug 2024
IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence
  Car-Following Trajectory Prediction
IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction
Yilin Wang
Yiheng Feng
22
5
0
20 Oct 2022
Short-term traffic prediction using physics-aware neural networks
Short-term traffic prediction using physics-aware neural networks
M. Pereira
Annika Lang
Balázs Kulcsár
26
19
0
21 Sep 2021
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