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Similar targets detection and location indoors by UAV

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2020 IEEE 16th International Conference on Control and Automation, ICCA 2020
PublisherIEEE Computer Society
Pages847-852
Number of pages6
ISBN (Electronic)9781728190938
DOIs
StatePublished - 9 Oct 2020
Event16th IEEE International Conference on Control and Automation, ICCA 2020 - Virtual, Sapporo, Hokkaido, Japan
Duration: 9 Oct 202011 Oct 2020

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2020-October
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference16th IEEE International Conference on Control and Automation, ICCA 2020
Country/TerritoryJapan
CityVirtual, Sapporo, Hokkaido
Period9/10/2011/10/20

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