13 citations · 16 across the 14 of their papers we have counts for
4 papers · 1 filter
CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model
Ruoyu Yao, Yubin Wang, Haichao Liu +4
Decision-making and motion planning constitute critical components for ensuring the safety and efficiency of autonomous vehicles (AVs). Existing methodologies typically adopt two p…
Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization
Xiao Zhou, Chengzhen Meng, Wenru Liu +3
For autonomous driving in highly dynamic environments, it is anticipated to predict the future behaviors of surrounding vehicles (SVs) and make safe and effective decisions. Howeve…
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
Lei Zheng, Rui Yang, Zengqi Peng +3
Abrupt maneuvers by surrounding vehicles (SVs) can typically lead to safety concerns and affect the task efficiency of the ego vehicle (EV), especially with model uncertainties ste…
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Zengqi Peng, Xiao Zhou, Lei Zheng +2
In this work, we present a reward-driven automated curriculum reinforcement learning approach for interaction-aware self-driving at unsignalized intersections, taking into account…