Calculation method of road distress area based on monocular vision

Lei Wang; Yuxin Hu; Zhaowei Zhang; Lin Jiang

doi:10.1117/12.2684334

1 August 2023 Calculation method of road distress area based on monocular vision

Lei Wang, Yuxin Hu, Zhaowei Zhang, Lin Jiang

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127542G (2023) https://doi.org/10.1117/12.2684334
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

Proposed a method for calculating the area of road diseases using a monocular camera. The camera and the road plane are calibrated to obtain the mapping relationship between pixel points and spatial points; the Mask R-CNN is used to detect and segment the road disease; the inverse perspective transformation is used to convert the target image into a bird’s-eye view to obtain the relationship between the pixel scale and the real scale; binarize the bird’s-eye view according to the segmentation effect, and the area of the road disease could be obtained through calculating the number of target pixels. It has been verified that the calculation error of the algorithm is about 2.1675% in the near vicinity.

Citation Download Citation

Lei Wang, Yuxin Hu, Zhaowei Zhang, and Lin Jiang "Calculation method of road distress area based on monocular vision", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127542G (1 August 2023); https://doi.org/10.1117/12.2684334

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KEYWORDS

Cameras

Roads

Diseases and disorders

Calibration

Image segmentation

Imaging systems

Distortion

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