1 citations · 1 across the 6 of their papers we have counts for
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Hierarchical Multi-Agent MCTS for Safety-Critical Coordination in Mixed-Autonomy Roundabouts
Zhihao Lin, Jianglin Lan, Shuo Liu +3
Navigating unsignalized roundabouts in mixed-autonomy traffic presents significant challenges due to dense vehicle interactions, lane-changing complexities, and behavioral uncertai…
Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
Jing Wang, Yan Jin, Fei Ding +1
Since the advent of autonomous driving technology, it has experienced remarkable progress over the last decade. However, most existing research still struggles to address the chall…
Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion
Zeyu Deng, Yanhui Lu, Jiashu Liao +2
Multimodal emotion recognition (MER) is crucial for enabling emotionally intelligent systems that perceive and respond to human emotions. However, existing methods suffer from limi…
Free Energy-Inspired Cognitive Risk Integration for AV Navigation in Pedestrian-Rich Environments
Meiting Dang, Yanping Wu, Yafei Wang +3
Recent advances in autonomous vehicle (AV) behavior planning have shown impressive social interaction capabilities when interacting with other road users. However, achieving human-…
Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions
Jing Wang, Yan Jin, Hamid Taghavifar +2
Since the emergence of autonomous driving technology, it has advanced rapidly over the past decade. It is becoming increasingly likely that autonomous vehicles (AVs) would soon coe…
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
Zhen Tian, Zhihao Lin, Dezong Zhao +4
Autonomous vehicles (AVs) can significantly promote the advances in road transport mobility in terms of safety, reliability, and decarbonization. However, ensuring safety and effic…