2021
DOI: 10.3390/a14040114
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Short Communication: Detecting Heavy Goods Vehicles in Rest Areas in Winter Conditions Using YOLOv5

Abstract: The proper planning of rest periods in response to the availability of parking spaces at rest areas is an important issue for haulage companies as well as traffic and road administrations. We present a case study of how You Only Look Once (YOLO)v5 can be implemented to detect heavy goods vehicles at rest areas during winter to allow for the real-time prediction of parking spot occupancy. Snowy conditions and the polar night in winter typically pose some challenges for image recognition, hence we use thermal ne… Show more

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Cited by 118 publications
(30 citation statements)
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“…Apart from this, YOLOv5 uses the following choices for training [ 54 ]: Activation and optimization: YOLOv5 uses leaky ReLU and sigmoid activation and SGD and ADAM as optimizer options Loss function: it uses binary cross-entropy with logits loss …”
Section: Methodsmentioning
confidence: 99%
“…Apart from this, YOLOv5 uses the following choices for training [ 54 ]: Activation and optimization: YOLOv5 uses leaky ReLU and sigmoid activation and SGD and ADAM as optimizer options Loss function: it uses binary cross-entropy with logits loss …”
Section: Methodsmentioning
confidence: 99%
“…It was released in May 2020, a month after the release of YOLOv4. However, the performance of YOLOv5 is higher than the YOLOv4 in terms of both accuracy and speed [30].…”
Section: Object Detectionmentioning
confidence: 93%
“…Yolo is a single stage detection technique without a distinct region proposal and treats the detection of the target as a single regression problem [35]. Object detection using Yolov5 has been demonstrated as a superior way in comparison to other target detection and recognition algorithms [36,37,38,39]. Yolov5 has the advantages of rapid processing time in the deep learning network; ability to handle larger datasets and real-time continuous detection [40,41].…”
Section: Chicktrack Detector Model and Architecturementioning
confidence: 99%