Reliable wall estimation method with RGB-D camera for wall following

Research output: Contribution to conferenceConference paperpeer-review

Abstract

In this paper, we figure out the problems of existing wall estimation methods using a 2D sensor and propose a reliable wall estimation method using a RGB-D camera. First, a point cloud is obtained by the RGB-D camera, and a surface normal is calculated at each point. Next, planes such as floor, right and left planes are classified by angle thresholding of the normal vector, where the thresholding angle is determined as an angle between the normal vector and the gravity. In this case, the right and left planes can be used as reference walls for wall following. Since the relatively long wall segment can be obtained by using just 1 frame of the depth images, the wall can be obtained reliably and rapidly.

Original languageEnglish
Title of host publication2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages616-618
Number of pages3
ISBN (Electronic)9781479953325
DOIs
StatePublished - 2014
Event2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 - Kuala Lumpur, Malaysia
Duration: 2014.11.122014.11.15

Publication series

Name2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014

Conference

Conference2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014
Country/TerritoryMalaysia
CityKuala Lumpur
Period14.11.1214.11.15

Keywords

  • RGB-D camera
  • wall estimation
  • wall following

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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