2023
DOI: 10.3390/su152416869
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Fusion of Deep Sort and Yolov5 for Effective Vehicle Detection and Tracking Scheme in Real-Time Traffic Management Sustainable System

Sunil Kumar,
Sushil Kumar Singh,
Sudeep Varshney
et al.

Abstract: In recent years, advancements in sustainable intelligent transportation have emphasized the significance of vehicle detection and tracking for real-time traffic flow management on the highways. However, the performance of existing methods based on deep learning is still a big challenge due to the different sizes of vehicles, occlusions, and other real-time traffic scenarios. To address the vehicle detection and tracking issues, an intelligent and effective scheme is proposed which detects vehicles by You Only … Show more

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Cited by 14 publications
(1 citation statement)
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“…Regarding the YOLOv5 algorithm, Kumar et al [9] proposed an intelligent and efficient solution based on YOLOv5 to address the detection and tracking of vehicles. The algorithm's outstanding results were verified through simulated dataset experiments.…”
Section: Introductionmentioning
confidence: 99%
“…Regarding the YOLOv5 algorithm, Kumar et al [9] proposed an intelligent and efficient solution based on YOLOv5 to address the detection and tracking of vehicles. The algorithm's outstanding results were verified through simulated dataset experiments.…”
Section: Introductionmentioning
confidence: 99%