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Vision based global localisation using a 3D environmental model created by a laser range scanner

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2 Author(s)
Nghia Ho ; Monash Univ., Melbourne, VIC ; Jarvis, R.

This paper demonstrates how a robot can perform global localisation using a panoramic mirror in conjunction with a rich 3D model of the environment and a particle filter for localisation. The 3D model is created using Riegl Z420i laser range scans taken at various positions in the environment and registered together. An appearance-based map is created from this 3D model by sampling from it at various poses. For feature extraction we use Haar-wavelets as a global scene signature. In our experiments, the robot is able to localise on average within 1 metre of the true position and 5 degrees for orientation, in an environment measuring about 50times50 metres.

Published in:

Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on

Date of Conference:

22-26 Sept. 2008