Fast point features for accurate visual odometry

  • Authors:
  • Aldo Cumani;Antonio Guiducci

  • Affiliations:
  • Istituto Nazionale di Ricerca Metrologica, Torino, Italy;Istituto Nazionale di Ricerca Metrologica, Torino, Italy

  • Venue:
  • ICS'08 Proceedings of the 12th WSEAS international conference on Systems
  • Year:
  • 2008

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Abstract

Visual Odometry is the problem of estimating the path of a mobile platform by onboard passive vision only. Our approach relies on stereo vision and bundle adjustment of tracked feature points. In this work we propose a feature detector/descriptor which is a simplified form of other well known descriptors (SURF). Tests on real-world data show that our descriptors are effective for accurate path estimation, while being fast enough for use in tasks such as autonomous planetary exploration.