collaborators

5 papers

cs.RO2026

UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning

Nan Song, Junzhe Jiang, Jingyu Li +2

Motion simulation, prediction and planning are foundational tasks in autonomous driving, each essential for modeling and reasoning about dynamic traffic scenarios. While often addr…

cs.CV2026

SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving

Jingyu Li, Junjie Wu, Dongnan Hu +6

Recent end-to-end autonomous driving approaches have leveraged Vision-Language Models (VLMs) to enhance planning capabilities in complex driving scenarios. However, VLMs are inhere…

cs.CV2025

Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

Bozhou Zhang, Nan Song, Jingyu Li +3

End-to-end autonomous driving methods aim to directly map raw sensor inputs to future driving actions such as planned trajectories, bypassing traditional modular pipelines. While t…

cs.CV2025

Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving

Bozhou Zhang, Jingyu Li, Nan Song +1

End-to-end autonomous driving has achieved remarkable advancements in recent years. Existing methods primarily follow a perception-planning paradigm, where perception and planning…

cs.CV2025

RealEngine: Simulating Autonomous Driving in Realistic Context

Junzhe Jiang, Nan Song, Jingyu Li +2

Driving simulation plays a crucial role in developing reliable driving agents by providing controlled, evaluative environments. To enable meaningful assessments, a high-quality dri…