Similar targets detection and location indoors by UAV

Zhao Lin, Jun Hou, Chunhui Zhao, Zhuoyi Li, Jiayu Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

With the increasing demand of UAVs application in target reconnaissance, it is a more complex task to identify and locate similar targets. The small difference between similar targets and the limited computing power of UAVs on board mean that the perception algorithm needs to have high target differentiation and fast accuracy. In order to solve the above problems, this paper proposes a similar target detection and target absolute position localization algorithm based on yolo-v3 partial detection, including a detection module and a positioning module. The detection module uses the speed of yolo-v3 and the effectiveness of small target detection, and improves by adding geometric constraints to achieve similar target differentiation. The positioning module obtains the accurate and absolute position of the target for the UAV platform. The actual flight experiment is carried out and verify that the proposed algorithm works well in real time under the UAV platform.

源语言英语
主期刊名2020 IEEE 16th International Conference on Control and Automation, ICCA 2020
出版商IEEE Computer Society
847-852
页数6
ISBN(电子版)9781728190938
DOI
出版状态已出版 - 9 10月 2020
活动16th IEEE International Conference on Control and Automation, ICCA 2020 - Virtual, Sapporo, Hokkaido, 日本
期限: 9 10月 202011 10月 2020

出版系列

姓名IEEE International Conference on Control and Automation, ICCA
2020-October
ISSN(印刷版)1948-3449
ISSN(电子版)1948-3457

会议

会议16th IEEE International Conference on Control and Automation, ICCA 2020
国家/地区日本
Virtual, Sapporo, Hokkaido
时期9/10/2011/10/20

指纹

探究 'Similar targets detection and location indoors by UAV' 的科研主题。它们共同构成独一无二的指纹。

引用此