Effects of camera calibration errors on trajectory estimation of a flying object using RLS

Rafael Herrejon, Shingo Kagami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Effects of camera calibration errors are investigated in static-eye configuration. The effect of the error in the extrinsic parameters of the camera to extract and predict the position of a flying object in a 3D environment using Recursive Least Squares (RLS) is analyzed. Simulations have been carried in order to minimize the error of the position predicted in the global reference frame modifying the camera position.

Original languageEnglish
Title of host publicationICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents
Pages347-350
Number of pages4
DOIs
Publication statusPublished - 2009 Jun 5
Event4th International Conference on Autonomous Robots and Agents, ICARA 2009 - Wellington, New Zealand
Duration: 2009 Feb 102009 Feb 12

Publication series

NameICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents

Other

Other4th International Conference on Autonomous Robots and Agents, ICARA 2009
CountryNew Zealand
CityWellington
Period09/2/1009/2/12

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Herrejon, R., & Kagami, S. (2009). Effects of camera calibration errors on trajectory estimation of a flying object using RLS. In ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents (pp. 347-350). [4804001] (ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents). https://doi.org/10.1109/ICARA.2000.4804001