2 papers
cs.RO2026
TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving
Jiaxiang Li, Yumao Liu, Ke Ma
Vision-Language Models (VLMs) provide a promising foundation for autonomous driving planning, yet bridging semantic reasoning and precise 3D spatial forecasting remains a critical…
cs.CV2026
Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction
Yumao Liu, Tao Liu, Xiangyu Li +2
End to end (E2E) autonomous driving trajectory prediction is often trained with camera frames sampled at the highest available temporal frequency, assuming that denser sampling imp…