AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
The results demonstrate that the proposed integrated radar-based framework provides reliable lane-level traffic monitoring and safety risk identification under complex highway conditions.
Infrastructure-based radar systems offer robust and long-range solutions for traffic monitoring, yet their detection and tracking performance under real-world conditions remains insufficiently evaluated. This study introduces DRaT (Drone and Radar Trajectories), a dual-modality dataset of naturalistic vehicle trajector...
This study investigates the condition sensitivity of a camera-based traffic monitoring pipeline that combines YOLOv8s detection with SORT tracking for real-time vehicle counting. Video data were collected from a pedestrian bridge above a two-lane highway in Győr, Hungary, under multiple weather conditions (clear, rainy...
To meet personnel safety monitoring demands in coal conveyor galleries and overcome traditional 3D monitoring limitations, a 3D LiDAR-based dynamic personnel detection and boundary-crossing judgment method is proposed. Utilizing 3D Li-DAR as the sensing terminal, this method constructs a dual-layer temporal sequence de...
A preprocessing framework for 4D-radar-based 3D object detection that extracts point clouds from radar tensors while preserving object-shape information and suppressing noise and false alarms is proposed.
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