3 papers
cs.AI2026
EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Yingkai Yang, Ashton Yu Xuan Tan, Bowen Li +10
Reliable risk assessment remains a central challenge for Autonomous Vehicles (AVs). Despite advances in automation, passenger cognition provides a non-intrusive auxiliary signal th…
cs.RO2025
Seeing before Observable: Potential Risk Reasoning in Autonomous Driving via Vision Language Models
Jiaxin Liu, Xiangyu Yan, Liang Peng +11
Ensuring safety remains a key challenge for autonomous vehicles (AVs), especially in rare and complex scenarios. One critical but understudied aspect is the \textbf{potential risk}…
cs.HC2024
Passenger hazard perception based on EEG signals for highly automated driving vehicles
Ashton Yu Xuan Tan, Yingkai Yang, Xiaofei Zhang +9
Enhancing the safety of autonomous vehicles is crucial, especially given recent accidents involving automated systems. As passengers in these vehicles, humans' sensory perception a…