Visual localisation in outdoor industrial building environments

Nuske, Stephen, Roberts, Jonathan M., & Wyeth, Gordon (2008) Visual localisation in outdoor industrial building environments. In Proceedings of IEEE International Conference on Robotics and Automation 2008, IEEE, Pasadena Conference Center, Pasadena, CA.


This paper presents a vision-based method of vehicle localisation that has been developed and tested on a large forklift type robotic vehicle which operates in a mainly outdoor industrial setting. The localiser uses a sparse 3D edgemap of the environment and a particle filter to estimate the pose of the vehicle. The vehicle operates in dynamic and non-uniform outdoor lighting conditions, an issue that is addressed by using knowledge of the scene to intelligently adjust the camera exposure and hence improve the quality of the information in the image. Results from the industrial vehicle are shown and compared to another laser-based localiser which acts as a ground truth. An improved likelihood metric, using peredge calculation, is presented and has shown to be 40% more accurate in estimating rotation. Visual localization results from the vehicle driving an arbitrary 1.5km path during a bright sunny period show an average position error of 0.44m and rotation error of 0.62deg.

Impact and interest:

12 citations in Scopus
7 citations in Web of Science®
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ID Code: 32887
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
ISBN: 9781424416479
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 24 Jun 2010 01:16
Last Modified: 12 Sep 2014 04:20

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