Moving target autonomous positioning based on vision for UAV

  • Long Zhao*
  • , Pengfeng Chen
  • *Corresponding author for this work

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

Abstract

In this paper, we propose a systematic framework for the ground moving target autonomous positioning with a Unmanned Aerial Vehicle (UAV). The proposed framework consists of the ground moving target positioning design and algorithm. Therein the camera mounted on the UAV functions as a mission sensor targeted for the ground moving target positioning. In this paper, We design an algorithm for the vision based mission system by using the navigation information outputted by Attitude and Heading Reference System (AHRS) and GNSS/Strapdown Inertial Navigation System (SINS) integrated navigation system, including motion detection and compensation, target detection and tracking, as well as target positioning. The experiments of the ground moving target autonomous positioning have been carried out. The test results show that the system can provide the positioning information of ground moving target for UAV.

Original languageEnglish
Title of host publicationChina Satellite Navigation Conference, CSNC 2015, Proceedings
EditorsShiwei Fan, Xiaochun Lu, Jiadong Sun, Jingnan Liu
PublisherSpringer Verlag
Pages691-701
Number of pages11
ISBN (Print)9783662466315
DOIs
StatePublished - 2015
Event6th China Satellite Navigation Conference, CSNC 2015 - Xian, China
Duration: 13 May 201515 May 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume342
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th China Satellite Navigation Conference, CSNC 2015
Country/TerritoryChina
CityXian
Period13/05/1515/05/15

Keywords

  • Moving target positioning
  • Systematic framework
  • Target detection
  • Target tracking

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