4 citations · 4 across the 4 of their papers we have counts for
4 papers
Self-Aware Active Learning Enables Continual Improvement in Autonomous Driving
Dong Hu, Chao Huang, Carman K. M. Lee +1
Learning-based autonomous driving (AD) systems can perform reliably in familiar conditions, yet rare distribution shifts and long-tail events remain a major source of abrupt failur…
Metis: A Generalizable and Efficient World-Action Model for Autonomous Driving and Urban Navigation
Jingyu Li, Zhe Liu, Dongnan Hu +10
World action models~(WAMs) have shown great promise for autonomous driving and urban navigation. Built upon Vision-Language-Action models or video generation models, existing appro…
Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
Dong Hu, Fenqing Hu, Lidong Yang +1
Ensuring safety in autonomous driving (AD) remains a significant challenge, especially in highly dynamic and complex traffic environments where diverse agents interact and unexpect…
Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles
Dong Hu, Chao Huang, Jingda Wu +1
Autonomous driving (AD) technology, leveraging artificial intelligence, strives for vehicle automation. End-toend strategies, emerging to simplify traditional driving systems by in…