Application of Cascade Convolution Network in UAV Vision Location
DING Pengcheng
YU Jinyong
WANG Chao
LIU Xiangyang
Abstract：In view of the problems of the high demand for feature extraction and the environment on the UAV vision location, combined with the features of UAV vision position and the advantages of the object detection network,the cascade convolution network is innovatively proposed in this paper. By modifying the structure of Faster R-CNN network,cascade R-CNN,semantic cascade and cascade activation functions are designed. The cascade convolution network is replaced by the traditional image processing module to introduce the UAV vision localization algorithm,which improves the detection precision of the target, especially the small target,and the detection results can reach 87.9%. Through the actual UAV flight test,the positioning error of the network is within 0.3m,which meets the requirements of UAV vision location.
Keywords：deep learningobject detectionvision location
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 34-39,87 )