Point Cloud-Based Pavement Crack Extraction Using MSAC and KNN Algorithm-Reference-Cited by-同舟云学术

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Point Cloud-Based Pavement Crack Extraction Using MSAC and KNN Algorithm

Published:2024-02-06 Issue: Volume:47 Page:831-838
ISSN:
Container-title:International Conference on Road and Airfield Pavement Technology 2023
language:
Short-container-title:

Author:

Li Ruiqi¹²³¹¹,Chen Xueqin¹²³¹¹,Dong Qiao¹²³¹¹,Wang Sike¹²³¹¹,Chu Zepeng¹²³¹¹,Gu Xingyu¹²³¹¹

Affiliation:

1. School of Transportation, Southeast Univ., Nanjing, Jiangsu, China

2. Dept. of Civil Engineering, College of Science, Nanjing Univ. of Science and Technology, Nanjing, Jiangsu, China

3. School of Transportation, Southeast Univ., Nanjing, Jiangsu, China (corresponding author).

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485255.068

Reference17 articles.

1. Cao T. (2018). “Research on Key Technology of Pavement Crack Survey Based on 3D Point Cloud and Image Data.” Chang’an University.

2. Review of Pavement Defect Detection Methods

3. Gao J. (2020). “Research on Target Edge Detection based on 3D Point Cloud.” Beijing Jiaotong University.

4. Direct and accurate feature extraction from 3D point clouds of plants using RANSAC

5. A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Target Fitting Method for Spherical Point Clouds Based on Projection Filtering and K-Means Clustered Voxelization;Sensors;2024-09-04

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