Road pothole extraction method based on improved normal vector distance

Ronggui Ma; Xianglin Sun; Mingxiao Ma; Zizhong Wei; Xunyan Huang

doi:10.1117/12.3004073

11 October 2023 Road pothole extraction method based on improved normal vector distance

Ronggui Ma, Xianglin Sun, Mingxiao Ma, Zizhong Wei, Xunyan Huang

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128004Y (2023) https://doi.org/10.1117/12.3004073
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

To address the problem of low accuracy of the traditional 3D laser point cloud pavement potholes extraction algorithm, this paper proposes a road potholes extraction method based on the improved normal vector distance. Then, the normal vector distance of the sampled point is obtained by calculating the distance from the sampled point to the tangent plane of the quadratic surface of the local neighborhood, which is used to describe the 3D features of the sampled point; then, the normal vector distance is diluted and the features are extracted by the Douglas- Peucker algorithm. Finally, the Alpha-Shape algorithm is used to further fit the pit contour and remove the internal noise points, and the B-sample interpolation is used again to fit the boundary of the extracted pit contour to obtain the final pit boundary point cloud collection. The final experimental results show that the average relative error of the pit depth is 3.70%, which is 9.31% higher than that of the traditional method, the average relative error of the extracted pit area is 3.82%, which is 7.33% higher than that of the traditional method, and the average relative error of the extracted pit perimeter is 1.41%. The experimental results show that the method in this paper can extract the pavement pothole features well and improve the performance in terms of the accuracy of pothole feature description compared with the traditional method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ronggui Ma, Xianglin Sun, Mingxiao Ma, Zizhong Wei, and Xunyan Huang "Road pothole extraction method based on improved normal vector distance", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128004Y (11 October 2023); https://doi.org/10.1117/12.3004073

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Point clouds

Roads

Feature extraction

Covariance matrices

3D modeling

3D image reconstruction

Asphalt pavements

Show All Keywords

Keywords/Phrases

Search In:

Publication Years