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Integrated navigation system with monocular vision and LIDAR for indoor UAVs

  • Wenxuan Zheng
  • , Jin Xiao*
  • , Tong Xin
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Without the Global Positioning System (GPS), indoor Unmanned Aerial Vehicle (UAV) navigation seems rather insurmountable. And most solutions call for external ground stations or otherwise beacons. But in this paper, for the problem, a set of indoor navigation system that rely solely on onboard equipment is proposed. The core of presented method is based on the evaluation system of the speed and location with monocular vision and the obstacle avoiding system with a laser radar. Compared with a variety of image processing algorithms, eventually two most suitable algorithms for optical flow and visual odometry are put forward. Experiments show that our navigation system is able to achieve stable navigation with high precision and autonomous obstacle avoidance.

Original languageEnglish
Title of host publicationProceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages924-929
Number of pages6
ISBN (Electronic)9781538621035
DOIs
StatePublished - 2 Jul 2017
Event12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017 - Siem Reap, Cambodia
Duration: 18 Jun 201720 Jun 2017

Publication series

NameProceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Volume2018-February

Conference

Conference12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Country/TerritoryCambodia
CitySiem Reap
Period18/06/1720/06/17

Keywords

  • LIDAR
  • UAV
  • monocular vision
  • optical flow
  • visual odometry

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