Publication:
Trajectory Prediction And Near Miss Detection Using Social Distancing Monitoring And Distance Based Proximal Indicators

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Date
2025-07
Authors
Lim, Lek Ming
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Research Projects
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Abstract
Despite efforts to improve road safety, accidents persist due to insufficient evidence from manual police reporting, non-optimized detection algorithms, and technical limitations in real-time video processing and modelling. This study focuses on detecting and tracking vehicles within a monitoring system and analysing near-miss incidents (black spot and blind spot), specifically examining the influence of video quality on detection performance using advanced model detectors (YOLOv3-tiny, YOLOv4-tiny, YOLOv5, YOLOv7, YOLOv7+G3HN, YOLOv7+CNeB, and Faster RCNN). The experiment employed methods for vehicle detection and trajectory prediction through the monitoring system.
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Keywords
Trajectory Prediction And Near Miss Detection , Social Distancing Monitoring And Distance Based Proximal Indicators
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https://erepo.usm.my/handle/123456789/25031
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Pusat Pengajian Sains Matematik - Tesis