Low-Cost Autonomous Contour Localization and Area Measurement for Irregular Flood Zones Using a Small UAV

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Low-Cost Autonomous Contour Localization and Area Measurement for Irregular Flood Zones Using a Small UAV

Wu, Jianfa / Wang, Honglun / Zhang, Menghua / Wang, Yanxiang

Timely and accurately locating the contours and measuring the areas for flood zones at low cost is of great significance for disaster assessment, relief and rebuilding. To compensate for the drawbacks of traditional localization and measurement modes for irregular flood zones, a novel low-cost solution for underdeveloped countries or areas using a small unmanned aerial vehicle (SUAV), which is independent of complex image processing approaches, is proposed. In this solution, first, the virtual obstacles (VOs) are generated based on the real detected ground images via a low-computational-cost image recognition algorithm. Then, based on the VO distribution, the SUAV plans the path to track and encircle the irregular contour so that the contour localization and area measurement can be realized. Finally, the proposed solution is verified by an experiment that introduces a real lake as the irregular flood zone and an SUAV model in reality to simulate the real flight situation. The results show that the localization and measurement errors are only 1.51% and 2.58%, which are higher than the manual measurement mode.

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Document information

Title :

Low-Cost Autonomous Contour Localization and Area Measurement for Irregular Flood Zones Using a Small UAV

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Fu, Wenxing (editor) / Gu, Mancang (editor) / Niu, Yifeng (editor) / Wu, Jianfa (author) / Wang, Honglun (author) / Zhang, Menghua (author) / Wang, Yanxiang (author)

Conference:

International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022

Published in:

Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) ; Chapter : 165 ; 1777-1786

Lecture Notes in Electrical Engineering ; 1010

Publication date :

2023-03-10

Size :

10 pages

ISBN :

978-981-99-0479-2 , 978-981-99-0478-5

ISSN :