Bearing-Only SLAM using Colour-based Feature Tracking

نویسندگان

  • Trevor Fitzgibbons
  • Eduardo Nebot
چکیده

This paper presents identifies and addresses the difficulties that arise from implementing visual information into the Simultaneous Localization and Mapping (SLAM) problem, with an emphasis for outdoor applications. Through identifying these problems, techniques for integrating the visual & navigation are proposed with results from their preliminary applications. Video data is gathered through a standard colour camera. With the relative bearing obtained from the extracted features, the Simultaneous Localization & Mapping framework then bounds the dead-reckoning errors.

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تاریخ انتشار 2002