A method of simultaneous location and mapping based on RGB-D cameras

Xin Liu, Baiwei Guo, Chao Meng

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

4 Citations (Scopus)

Abstract

Autonomous UAV must rely on the navigation system to fly in the indoor environment. However, the traditional navigation system such as GPS cannot be used in the indoor environment. A method of Simultaneous Location and Mapping (SLAM) based on RGB-D cameras is used to solve this matter. We adopt the RGB-D SLAM algorithm to locate the camera and build the 3D map of the environment in this paper. The framework and process of the algorithm are described in detail. The experiments show that the RGB-D SLAM algorithm can achieve good results.

Original languageEnglish
Title of host publication2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509035496
DOIs
Publication statusPublished - 2016
Event14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 - Phuket, Thailand
Duration: 13 Nov 201615 Nov 2016

Publication series

Name2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016

Conference

Conference14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Country/TerritoryThailand
CityPhuket
Period13/11/1615/11/16

Keywords

  • RGB-D cameras
  • Simultaneous Location and Mapping
  • UAV
  • navigation

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