Unmanned aerial vehicles (UAV) controlled by autonomous control algorithms often have greater advantages than manned aircraft in the execution of directional strikes and other dangerous tasks. When performing blasting tasks, the robustness of the UAV detection algorithm in different scenarios is often not guaranteed, which greatly affects the UAV's positioning of the target, thus reducing the success rate of the mission. In order to solve the above problems, the crossdomain-based object detection algorithm is used to improve the robustness of the UAV detection algorithm in different scenarios, and the online GPS clustering algorithm is used to improve the robustness of object positioning. At the same time, in view of the impact of the object blasting position on the blasting result, the system uses an algorithm for locating weak parts to improve the accuracy and success rate of blasting.
FENG Hangtao
,
ZENG Shaofeng
,
ZHANG Lu
,
YANG Xu
,
LIU Zhiyong
. Design of object detection and weak position location system base on coaxial dual-rotor drone[J]. Journal of University of Chinese Academy of Sciences, 2023
, 40(5)
: 701
-709
.
DOI: 10.7523/j.ucas.2022.017
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