Faculté des sciences

Computer vision of free-form 3D objects by geometric matching

Hügli, Heinz ; Schütz, Christian

In: Proceeding. Mecatronics, Europe-Asia congress on Mechatronics, 1996, p. 1-5

This paper presents a method to localize a mobile robot in a topological map. This work enters a navigation method developed for mobile robots, which basic idea is to represent the robot spatial knowledge by a topological map and to use the behavioral approach to control the robot moves between fixed positions of the environment known as self-positioning sites. A feature of this method is that... Plus

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    Summary
    This paper presents a method to localize a mobile robot in a topological map. This work enters a navigation method developed for mobile robots, which basic idea is to represent the robot spatial knowledge by a topological map and to use the behavioral approach to control the robot moves between fixed positions of the environment known as self-positioning sites. A feature of this method is that each physically grounded site is represented by a node in the topological map, and the localization problem is to find the node-site correspondences. In the paper we develop and analyze a localization method based on vision that compares images taken by a robot-mounted camera with references images. Special considerations is given to noise rejection by making the method robust against environmental changes. The localization method is implemented on a Nomad 200 mobile robot. Presented localization results illustrate its performance and degree of robustness.