235 citations · 293 across the 4 of their papers we have counts for
4 papers
Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning
Ziyang Yao, Zeyu Zhu, YunCheng Jiang +2
Discrete visual tokens should provide a compact representation for both token-based world modeling and planning in autonomous driving. However, most tokenizers are inherited from i…
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections
Zeyu Zhu, Huijing Zhao
In recent years, great efforts have been devoted to deep imitation learning for autonomous driving control, where raw sensory inputs are directly mapped to control actions. However…
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu, Huijing Zhao
Autonomous driving (AD) agents generate driving policies based on online perception results, which are obtained at multiple levels of abstraction, e.g., behavior planning, motion p…
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning
Zeyu Zhu, Nan Li, Ruoyu Sun +2
Terrain traversability analysis is a fundamental issue to achieve the autonomy of a robot at off-road environments. Geometry-based and appearance-based methods have been studied in…