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Carnegie Mellon Robotics Institute

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Abstract

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.

Notes

Text Reference

Alonzo Kelly, "Contemporary Feasibility of Image Mosaic Based Vehicle Position Estimation," Proceedings of International Conference on Robotics and Applications (IASTED99), October, 1999.

BibTeX Reference

@inproceedings{Kelly_1999_3615,
   author = "Alonzo Kelly",
   title = "Contemporary Feasibility of Image Mosaic Based Vehicle Position Estimation",
   booktitle = "Proceedings of International Conference on Robotics and Applications (IASTED99)",
   month = "October",
   year = "1999",
}

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