Short Communication: Detecting Heavy Goods Vehicles in Rest Areas in Winter Conditions Using YOLOv5

• Published in: Algorithms Vol. 14; no. 4; p. 114
• Main Authors: Kasper-Eulaers, Margrit, Hahn, Nico, Berger, Stian, Sebulonsen, Tom, Myrland, Øystein, Kummervold, Per Egil
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 31.03.2021
• Subjects: Algorithms; Business metrics; Cameras; Classification; CNNs; Data collection; Datasets; object detection; Object recognition; Occupancy; Parking; Roadside rest areas; Sensors; Thermal imaging; vehicle detection; Vehicles; YOLOv5

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...