A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Automatic mileage positioning for road inspection using binocular stereo vision system and global navigation satellite system
Abstract Road inspections ensure an adequate infrastructure operation and traffic safety, but the widely used positioning modes of road inspection have large deviations with road mileage. This paper describes an automatic method of road mileage positioning for road inspection. It integrates binocular stereo vision system, Global Navigation Satellite System (GNSS), objection detection algorithm, and Optical Character Recognition into road mileage positioning. A validation test result shows the average deviation of the mileage positioning is 4.06 m, which meets the requirement of road inspection. The significance of this paper consists of improving the automatic method of mileage positioning with the rapid disposal of abnormal targets on roads. In future research, the targets of road inspection, such as pavement potholes, patch, wearing lane markings, will be detected by objection detection algorithms and be positioned by the mileage positioning method.
Highlights Binocular cameras, IMU, and GNSS are integrated into Road Inspection System. Mileage piles are detected and classified into kilo- and hecto- signs by YOLOv5. The information of road number and road mileage is extracted by PaddleOCR. The distance of mileage pile and capturing point is measured by binocular vision. Road mileage of inspection trajectory is calculated based on the measurements. A case study and a validation test are provided.
Automatic mileage positioning for road inspection using binocular stereo vision system and global navigation satellite system
Abstract Road inspections ensure an adequate infrastructure operation and traffic safety, but the widely used positioning modes of road inspection have large deviations with road mileage. This paper describes an automatic method of road mileage positioning for road inspection. It integrates binocular stereo vision system, Global Navigation Satellite System (GNSS), objection detection algorithm, and Optical Character Recognition into road mileage positioning. A validation test result shows the average deviation of the mileage positioning is 4.06 m, which meets the requirement of road inspection. The significance of this paper consists of improving the automatic method of mileage positioning with the rapid disposal of abnormal targets on roads. In future research, the targets of road inspection, such as pavement potholes, patch, wearing lane markings, will be detected by objection detection algorithms and be positioned by the mileage positioning method.
Highlights Binocular cameras, IMU, and GNSS are integrated into Road Inspection System. Mileage piles are detected and classified into kilo- and hecto- signs by YOLOv5. The information of road number and road mileage is extracted by PaddleOCR. The distance of mileage pile and capturing point is measured by binocular vision. Road mileage of inspection trajectory is calculated based on the measurements. A case study and a validation test are provided.
Automatic mileage positioning for road inspection using binocular stereo vision system and global navigation satellite system
Luo, Wenting (author) / Qin, Yong (author) / Li, Qingquan (author) / Zhang, Dejin (author) / Li, Lin (author)
2022-12-03
Article (Journal)
Electronic Resource
English
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