collaborators

5 papers

cs.CV2025

CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving

Enhui Ma, Lijun Zhou, Tao Tang +11

End-to-end planning methods are the de facto standard of the current autonomous driving system, while the robustness of the data-driven approaches suffers due to the notorious long…

cs.CV2025

WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving

Ziyue Zhu, Zhanqian Wu, Zhenxin Zhu +8

Recent advances in driving-scene generation and reconstruction have demonstrated significant potential for enhancing autonomous driving systems by producing scalable and controllab…

cs.CV2025

PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth

Bu Jin, Weize Li, Baihan Yang +9

Recent advancements in autonomous driving (AD) systems have highlighted the potential of world models in achieving robust and generalizable performance across both ordinary and cha…

cs.CV2025

S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking

Tao Tang, Lijun Zhou, Pengkun Hao +9

3D multiple object tracking (MOT) plays a crucial role in autonomous driving perception. Recent end-to-end query-based trackers simultaneously detect and track objects, which have…

cs.CV2025

CoGen: 3D Consistent Video Generation via Adaptive Conditioning for Autonomous Driving

Yishen Ji, Ziyue Zhu, Zhenxin Zhu +7

Recent progress in driving video generation has shown significant potential for enhancing self-driving systems by providing scalable and controllable training data. Although pretra…