3 papers
cs.CV2026
HMPDM: A Diffusion Model for Driving Video Prediction with Historical Motion Priors
Ke Li, Tianjia Yang, Kaidi Liang +2
Video prediction is a useful function for autonomous driving, enabling intelligent vehicles to reliably anticipate how driving scenes will evolve and thereby supporting reasoning a…
cs.CV2025
CrashChat: A Multimodal Large Language Model for Multitask Traffic Crash Video Analysis
Kaidi Liang, Ke Li, Xianbiao Hu +1
Automating crash video analysis is essential to leverage the growing availability of driving video data for traffic safety research and accountability attribution in autonomous dri…
cs.CV2025
Multi-label Scene Classification for Autonomous Vehicles: Acquiring and Accumulating Knowledge from Diverse Datasets
Ke Li, Chenyu Zhang, Yuxin Ding +2
Driving scenes are inherently heterogeneous and dynamic. Multi-attribute scene identification, as a high-level visual perception capability, provides autonomous vehicles (AVs) with…