舰船电子工程2019，Vol.39Issue(4)：34-39,87,7.DOI:10.3969/j.issn.1672-9730.2019.04.008
级联卷积网络在无人机视觉定位的应用
Application of Cascade Convolution Network in UAV Vision Location
摘要
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.关键词
深度学习/目标检测/视觉定位Key words
deep learning/object detection/vision location分类
信息技术与安全科学引用本文复制引用
丁鹏程,于进勇,王超,柳向阳..级联卷积网络在无人机视觉定位的应用[J].舰船电子工程,2019,39(4):34-39,87,7.
