Automated road defect and anomaly detection for traffic safety: a systematic review
DDD TinyML: a TinyML-based driver drowsiness detection model using deep learning
Development of DMPS-EMAT for long-distance monitoring of broken rail
DrunkChain: blockchain-based IoT system for preventing drunk driving-related traffic accidents
Evaluation of roadside LiDAR-based and vision-based multi-model all-traffic trajectory data
Forest fire smoke detection based on deep learning approaches and unmanned aerial vehicle images
Fusion object detection and action recognition to predict violent action
Lane detection algorithm in curves based on multi-sensor fusion
Real-time vehicle detection from UAV aerial images based on improved YOLOv5
Recent progress in lithium-ion battery safety monitoring based on fiber Bragg grating sensors
Satellite video moving vehicle detection and tracking based on spatiotemporal characteristics
Vibrotactile alerting to prevent accidents in highway construction work zones: an exploratory study
YOLO-GW: quickly and accurately detecting pedestrians in a foggy traffic environment