2 papers
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…
cs.CV2025
PAVE: An End-to-End Dataset for Production Autonomous Vehicle Evaluation
Xiangyu Li, Chen Wang, Yumao Liu +3
Most existing autonomous-driving datasets (e.g., KITTI, nuScenes, and the Waymo Perception Dataset), collected by human-driving mode or unidentified driving mode, can only serve as…