7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.AI2025
Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving
Mingyi Wang, Jingke Wang, Tengju Ye +2
Recent breakthroughs in large language models (LLMs) have not only advanced natural language processing but also inspired their application in domains with structurally similar pro…
cs.RO2020
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory
Yunkai Wang, Dongkun Zhang, Jingke Wang +3
One of the challenges to reduce the gap between the machine and the human level driving is how to endow the system with the learning capacity to deal with the coupled complexity of…
cs.RO2020★ 7 cited
Learning hierarchical behavior and motion planning for autonomous driving
Jingke Wang, Yue Wang, Dongkun Zhang +2
Learning-based driving solution, a new branch for autonomous driving, is expected to simplify the modeling of driving by learning the underlying mechanisms from data. To improve th…