Contemporary Feasibility of Image Mosaic Based Vehicle Position Estimation

نویسنده

  • ALONZO KELLY
چکیده

Perhaps one of the simplest mechanisms for navigation in an area is to use real-time imagery to track vehicle motion over a very large, previously stored, high resolution image mosaic of the scene. In structured environments, image mosaics of textured surfaces present a potential for inexpensive, highly repeatable position estimation that is both higher performance and cheaper than existing commercial alternatives. This paper presents a case for the feasibility of such an approach using contemporary cameras and computing devices.

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تاریخ انتشار 1999