Robot localization using a computer vision sextant

Fabio Cozman, Eric Krotkov

Resultado de la investigación: Contribución a una conferenciaArtículo de conferencia

47 Citas (Scopus)

Resumen

This paper explores the possibility of using Sun altitude for localization of a robot in totally unknown territory. A set of Sun altitudes is obtained by processing a sequence of time-indexed images of the sky. Each altitude constrains the viewer to a circle on the surface of a celestial body, called the circle of equal altitude. A set of circles of equal altitude can be intersected to yield viewer position. We use this principle to obtain position on Earth. Since altitude measurements are corrupted by noise, a least-square estimate is numerically calculated from the sequence of altitudes. The paper discusses the necessary theory for Sun-based localization, the technical issues of camera calibration and image processing, and presents preliminary results with real data.
Idioma originalInglés estadounidense
Páginas106-111
Número de páginas6
EstadoPublicada - 1 ene 1995
Publicado de forma externa
EventoProceedings - IEEE International Conference on Robotics and Automation -
Duración: 1 ene 1997 → …

Conferencia

ConferenciaProceedings - IEEE International Conference on Robotics and Automation
Período1/01/97 → …

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  • Citar esto

    Cozman, F., & Krotkov, E. (1995). Robot localization using a computer vision sextant. 106-111. Papel presentado en Proceedings - IEEE International Conference on Robotics and Automation, .