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Unmanned Aerial Vehicle Surveying and Mapping Trajectory Scheduling and Autonomous Control for Landslide Monitoring
Author(s) -
Shifang Liao,
Manzhu Ye,
Rongcai Yuan,
Wanzhi Ma
Publication year - 2022
Publication title -
journal of robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 14
eISSN - 1687-9619
pISSN - 1687-9600
DOI - 10.1155/2022/2365006
Subject(s) - landslide , computer science , trajectory , scheduling (production processes) , software , identification (biology) , safety monitoring , real time computing , geology , seismology , engineering , operations management , physics , botany , microbiology and biotechnology , astronomy , biology , programming language
Real-time and efficient monitoring of geological disasters has received extensive attention in the application of UAV surveying and mapping control technology. The application of traditional landslide monitoring methods lacks the accuracy of control algorithms, which has become a hot issue currently facing. Based on the landslide surface subsidence monitoring method, this article designs the UAV trajectory scheduling subsidence monitoring software, which can monitor the UAV’s flight status and navigation information, and draw the flight trajectory in real time. At the same time, the model solves the problem of storage and management of landslide inspection results by the landslide inspection management system, and realizes the functions of entering and querying landslide information, viewing inspection results, landslide safety judgment, generating reports, and autonomous control. The simulation results show that the global accuracy reaches 0.975, and the algorithm recognition degree reaches 99.8%, which promotes the reliability of the landslide monitoring data for the identification of the surveying and mapping trajectory, and provides a decision-making basis for landslide treatment.

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