EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
cs.AI, cs.LG, eess.SP
Submitted: 2026-09-07
Updated: 2026-09-07
Comments: 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
Code: https://github.com/SOTIF-AVLab/EEG2023
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection