Reduced-order observer design for structure and motion estimation

Hui Xie, Romeo Tatsambon Fomena, Alan F. Lynch

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

![CDATA[The problem of Structure and Motion Estimation in machine vision can be addressed by designing observers for dynamic systems. We propose an observer for feature point depth and camera linear velocity. The camera’s angular velocity is assumed known. As well, we require two feature points with known displacement. Relative to previous work, we do not require linear acceleration measurements. The local exponential stability of the observer is proven using a converse Lyapunov theorem. We assume the camera motion satisfies a persistency of excitation condition and the linear acceleration is bounded and has finite energy.]]
Original languageEnglish
Title of host publicationProceedings of the Conference on Control and its Applications, July 8-10, 2013, San Diego, California, USA
PublisherSIAM
Pages37-43
Number of pages7
ISBN (Print)9781611973273
DOIs
Publication statusPublished - 2013
EventConference on Control and its Applications -
Duration: 8 Jul 2013 → …

Conference

ConferenceConference on Control and its Applications
Period8/07/13 → …

Keywords

  • Lyapunov stability
  • cameras
  • computer vision
  • linear accelerators

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