Design exploration of a tactile path defect detection vehicle

Chenggang Huang; Jing Wang; Jianwei Ma

doi:10.1117/12.2684219

1 August 2023 Design exploration of a tactile path defect detection vehicle

Chenggang Huang, Jing Wang, Jianwei Ma

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127541O (2023) https://doi.org/10.1117/12.2684219
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

In order to solve the problems of poor paving effect of the existing tactile path, late maintenance is not timely, resulting in inconvenient travel for the blind, the shortcomings of the existing tactile path management are analyzed, so as to guide the design. In the design process, a defect detection method based on the YOLO-V5 target detection algorithm was adopted to realize the processing of tactile path samples, training model and classification of tactile path defect types, and a complete set of tactile path defect detection equipment was designed. This equipment can detect the tactile path in real time, judge and classify the defects of the tactile path, find out the problematic tactile path and send the geographical location information back to the background staff to assist the municipal administration department and the tactile path rectification construction unit to grasp the overall construction situation of the tactile path. Compared with the existing artificial tactile path defect detection methods, the proposed tactile path defect detection method based on OLO-V5 has better recognition performance and higher detection efficiency, and can accurately detect and identify various tactile path defects. At the same time, this study focuses on the safety of travel for the visually impaired, which helps to improve the equal rights of the visually impaired to participate in social activities and enjoy public resources, and helps to optimize barrier-free facilities, which plays a crucial role in the harmonious and orderly development of the society.

Citation Download Citation

Chenggang Huang, Jing Wang, and Jianwei Ma "Design exploration of a tactile path defect detection vehicle", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127541O (1 August 2023); https://doi.org/10.1117/12.2684219

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KEYWORDS

Roads

Defect detection

Design and modelling

Image processing

Safety

Deep learning

Detection and tracking algorithms

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