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Appearance-based mobile robot navigation using omnidirectional camera

Yingchun Zhang, Juan Cao, Lu Lou, Bohong Su

Year
2012
Citations
4

Abstract

Appearance-based robot navigation has long been a fundamental goal in both robotics and computer vision research. While the problem is largely solved for robots equipped with active range-finding devices, for a variety of reasons, the task still remains challenging for robots equipped only with vision sensors. This paper proposes a appearance-based navigation system utilizing information from omnidirectional images captured by an omnidirectional camera as a primary sensor. The robot is able to localize with reasonable accuracy despite no metric measurements from the images. Real experiments to guide a Pioneer 3-AT mobile robot in a dynamic environment are presented, and the analysis of the results allows us to validate the proposed behaviour based navigation strategy.

Keywords

Mobile robotComputer visionComputer scienceOmnidirectional antennaOmnidirectional cameraArtificial intelligenceMobile robot navigationRobotComputer graphics (images)Robot control

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