A Vision System For A Mars Rover

Brian Wilcox(California Institute of Technology), Donald B. Gennery(California Institute of Technology), Andrew Mishkin(California Institute of Technology), Brian Cooper(California Institute of Technology), Teri B. Lawton(California Institute of Technology), N. Keith Lay(California Institute of Technology), Steven P. Katzmann(California Institute of Technology)
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
January 1, 1987
Cited by 21

Abstract

A Mars rover must be able to sense its local environment with sufficient resolution and accuracy to avoid local obstacles and hazards while moving a significant distance each day. Power efficiency and reliability are extremely important considerations, making stereo correlation an attractive method of range sensing compared to laser scanning, if the computational load and correspondence errors can be handled. Techniques for treatment of these problems, including the use of more than two cameras to reduce correspondence errors and possibly to limit the computational burden of stereo processing, have been tested at JPL. Once a reliable range map is obtained, it must be transformed to a plan view and compared to a stored terrain database, in order to refine the estimated position of the rover and to improve the database. The slope and roughness of each terrain region are computed, which form the basis for a traversability map allowing local path planning. Ongoing research and field testing of such a system is described.


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