A gain with no pain: exploring intelligent traffic signal control for emergency vehicles
A new modeling approach for predicting vehicle-based safety threats
Action-state joint learning-based vehicle taillight recognition in diverse actual traffic scenes
Adaptive short-temporal induced aware fusion network for predicting attention regions like a driver
Bayesian deep learning for aircraft hard landing safety assessment
Compact vehicle driver fatigue recognition technology based on EEG signal
Development of collision avoidance system in slippery road conditions
Driver distraction detection based on the true driver's focus of attention
Driver identification through heterogeneity modeling in car-following sequences
Listening for sirens: locating and classifying acoustic alarms in city scenes
Modeling driver responses to automation failures with active inference
Probabilistic risk metric for highway driving leveraging multi-modal trajectory predictions
Risk assessment methodologies for autonomous driving: a survey
Skills to drive: successor features for autonomous highway pilot
Spatio-temporal feature encoding for traffic accident detection in VANET environment