Autonomous driving paper index
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
One-line summary
This fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants (ages 21-46; 5 females, 15 males) during a driving simulator experiment involving 14 types of highly automated driving scenarios.
Engineering notes
Key topics: autonomous driving, autonomous vehicle. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
This fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants (ages 21-46; 5 females, 15 males) during a driving simulator experiment involving 14 types of highly automated driving scenarios. Each participant completed 12 tasks across the 14 scenarios (240 total tasks; 20 tasks excluded due to recording errors). The study examines differences in brain activity between low-risk and high-risk driving episodes while considering participant demographics (age, sex, driving experience). Data were collected using an 8-channel fNIRS device with applications toward improving safety of the intended functionality (SOTIF) and developing brain-computer interface technologies for autonomous vehicle systems. Subjective evaluations of scenario dangerousness are documented in the participants.tsv file.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments