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Monocular visual odometry and obstacle detection system based on ground constraints

  • Shude Guo*
  • , Cai Meng
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSocial Robotics - 4th International Conference, ICSR 2012, Proceedings
Pages516-525
Number of pages10
DOIs
StatePublished - 2012
Event4th International Conference on Social Robotics, ICSR 2012 - Chengdu, China
Duration: 29 Oct 201231 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7621 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Social Robotics, ICSR 2012
Country/TerritoryChina
CityChengdu
Period29/10/1231/10/12

Keywords

  • ground constraints
  • monocular vision
  • obstacle detection
  • visual odometry

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