Appearance based process for visual navigation

S.D. Jones, Chad K. Andresen, James L. Crowley · 2002

Describes the use of appearance based vision for defining visual processes for navigation. A visual processes which transform images to commands and events. A family of visual processes are defined by associating the appearance of a scene from a given viewpoint with the simple trajectories. Appearance is captured as a set of low-resolution images. Energy normalised cross correlation is used to maintain heading, to estimate confidence and to servo control a robot vehicle while following a path. Experimental results are presented which compare results with a single camera, a pair of parallel cameras and a pair of divergent cameras. The most accurate (and robust) navigation is found with a pair of cameras which are slightly divergent.

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