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Monocular Visual Odometry and Obstacle Detection System Based on Ground Constraints

  • Shude Guo
  • Cai Meng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7621)

Abstract

The realization of visual odometry and obstacle detection system with only a single camera is proposed. Though the rotation and translation parameters of frame-to-frame motion can be extracted from essential matrix using SVD decomposition, the absolute scale of the translation cannot be derived from monocular motion estimation. The scale ambiguity problem is solved by applying constraints based on the planar assumption and the known mounting of the camera. A region-based obstacle detection method is proposed in this paper. Firstly, the image is segmented into regions. Then whether a region is on the ground is determined according to three criteria: homography constraint, feature points distribution and boundary points’ reconstruction. Practical experimental results show that the proposed method successfully estimate the robot location and find the ground plane with only a single camera.

Keywords

monocular vision visual odometry ground constraints obstacle detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Shude Guo
    • 1
  • Cai Meng
    • 1
  1. 1.Image Processing Center, School of AstronauticsBeiHang UniversityBeijingChina

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