Rear-end collisions are prevalent and are closely related to car-following (CF) behavior. In this study, we proposed three in-vehicle human-machine interfaces (HMIs) to provide progressively richer information about the lead vehicle (LV), including speed information (HMI-vel), time headway (THW) information on top of H...
Xiao-Yu Zhou, Deng-Bo He· Adjunct Proceedings of the 1...· 0 citations
Naturalistic driving video captures how drivers supervise under real road conditions, but converting long, multi-camera in-cabin footage into behavioral features still relies on manual coding, which is costly and hard to scale. We present a human-in-the-loop workflow that converts raw in-cabin video into two reviewable...
Zhi-Xiong Wang, Ze-Yun Du, Yuwen Chen et al.· Adjunct Proceedings of the 1...· 0 citations
Rear-end collisions are prevalent and are closely related to car-following (CF) behavior. In this study, we proposed three in-vehicle human-machine interfaces (HMIs) to provide progressively richer information about the lead vehicle (LV), including speed information (HMI-vel), time headway (THW) information on top of H...
Xiao-Yu Zhou, Deng-Bo He· Adjunct Proceedings of the 1...· 0 citations
Tunnels create a constrained car-following environment in which rear-end crashes remain a major safety concern. This is especially challenging for novice drivers, who may have difficulty anticipating traffic changes further ahead. Existing warning systems mainly reflect the state of the immediate lead vehicle, while ve...
Tian-Yu Wei, Hong-Ling Sheng, Deng-Bo He· Proceedings of the 18th Inte...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
