3 papers
cs.CV2026
NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving
Jiahui Li, Jiawei Sun, Zixiang Ren +7
Recent perception-free end-to-end (E2E) autonomous driving methods bypass explicit perception outputs by compressing dense image patch tokens into compact scene tokens for downstre…
eess.SY2026
Virtual Traffic Police: Large Language Model-Augmented Traffic Signal Control for Unforeseen Incidents
Shiqi Wei, Qiqing Wang, Kaidi Yang
Adaptive traffic signal control (TSC) has demonstrated strong effectiveness in managing dynamic traffic flows. However, conventional methods often struggle when unforeseen traffic…
cs.RO2024
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach
Jinhao Liang, Chaopeng Tan, Longhao Yan +3
A critical aspect of safe and efficient motion planning for autonomous vehicles (AVs) is to handle the complex and uncertain behavior of surrounding human-driven vehicles (HDVs). D…