Paper
16 August 2023 A rut detection method based on multi-rotor UAV equipped with Lidar
Yawei Hou, Zhimin Lv, Zhihui Yan, Zhenling Zhang, Shouhu Cheng
Author Affiliations +
Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 1278704 (2023) https://doi.org/10.1117/12.3004596
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China
Abstract
In view of the situation that using vehicle mounted sensors to detect ruts in rut detection technology can cause secondary pressure damage to the road surface ,a method of using multi rotor unmanned aerial vehicles equipped with laser radar to detect ruts is proposed ,and a scheme of multi rotor unmanned aerial vehicles equipped with laser radar acquisition system is designed .Existing rut calculation methods are analyzed, and virtual wire method is used to calculate rut depth .Laser radar data on the Zhenglan Banner section of the national highway G207 are actually collected .Study the characteristics of the road segment data, verify the rutting algorithm in this article, and provide rutting road segment results.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yawei Hou, Zhimin Lv, Zhihui Yan, Zhenling Zhang, and Shouhu Cheng "A rut detection method based on multi-rotor UAV equipped with Lidar", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 1278704 (16 August 2023); https://doi.org/10.1117/12.3004596
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KEYWORDS
Roads

LIDAR

Data conversion

Unmanned aerial vehicles

Data modeling

Data processing

Diseases and disorders

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