• DocumentCode
    2687397
  • Title

    On computing the average orientation of vectors and lines

  • Author

    Olson, Edwin

  • Author_Institution
    Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    3869
  • Lastpage
    3874
  • Abstract
    Computing the "average" orientation of lines and rotations is non-trivial due to the need to account for the periodicity of rotation. For example, the average of +10 and +350 degrees is 0 (or 360) degrees, not 180. This problem arises in many disciplines, particularly those in which empirically collected data is processed or filtered. In this paper, we review a common but sub-optimal method for computing average orientation and provide a new geometric interpretation. We also propose a new method which provides additional insights into the geometry of the problem. Our new method also produces significantly more accurate results in the regime of operation usually encountered in robotics applications. We characterize this regime and provide guidance regarding which method to use, and when.
  • Keywords
    computational geometry; average orientation computing; geometric interpretation; lines; robotics applications; rotation periodicity; suboptimal method; vectors; Approximation algorithms; Approximation methods; Gaussian distribution; Gaussian noise; Maximum likelihood estimation; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5979562
  • Filename
    5979562