Vision Information and Laser Module Based UAV Target Tracking

Chang Liu, Yansui Song, Yuyan Guo, Bin Xu, Yu Zhang, Li Li, Zhen Li

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

3 Scopus citations

Abstract

This paper investigates the target tracking mission of an Unmanned Aerial Vehicle (UAV) equipped with a camera and a laser module. Firstly, utilizing Deep Neural Network (DNN) and Kernelized Correlation Filters (KCF), target recognition and location in the pixel coordinate system is achieved based on vision. Furthermore, by combining the laser ranging information and the distance estimation algorithm based on image, the distance between the UAV and the target is well estimated. To ensure the target tracking, a PID controller based on the distance error is applied to the UAV. The effectiveness of the system is verified on an actual UAV target tracking scenario.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages186-191
Number of pages6
ISBN (Electronic)9781728148786
DOIs
StatePublished - Oct 2019
Event45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal
Duration: 14 Oct 201917 Oct 2019

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2019-October

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
Country/TerritoryPortugal
CityLisbon
Period14/10/1917/10/19

Fingerprint

Dive into the research topics of 'Vision Information and Laser Module Based UAV Target Tracking'. Together they form a unique fingerprint.

Cite this