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
Link To Document