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 :
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