Research papers · Posted 2026.09.07 · Publication / acceptance: author-reported
EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Overview
The authors propose an EEG decoding framework for passenger risk prediction and danger identification. Cross-session and cross-subject experiments explore passenger cognitive signals as auxiliary information for automated-vehicle decision-making and SOTIF support.
Publication and version information
Publication, acceptance or venue information is author-reported on arXiv. The exact source wording is preserved below.
Author-supplied source information
Author-supplied information on arXiv.
31 pages, 8 figures, 13 tables, including appendices. Accepted for publication in Automotive Innovation. Yingkai Yang and Ashton Yu Xuan Tan contributed equally. Corresponding author: Hong Wang. Data: https://doi.org/10.21227/jw72-m261 ; Code: https://github.com/SOTIF-AVLab/EEG2023
Version: arXiv v1 — manuscript revision