DocumentCode
1783182
Title
The partially wrapped normal distribution for SE(2) estimation
Author
Kurz, Gerhard ; Gilitschenski, Igor ; Hanebeck, Uwe D.
Author_Institution
Intell. Sensor-Actuator-Syst. Lab., Karlsruhe Inst. of Technol., Karlsruhe, Germany
fYear
2014
fDate
28-29 Sept. 2014
Firstpage
1
Lastpage
8
Abstract
We introduce a novel probability distribution on the group of rigid motions SE(2) and we refer to this distribution as the partially wrapped normal distribution. Describing probabilities on SE(2) is of interest in a wide range of applications, for example, robotics, autonomous vehicles, or maritime navigation. We derive some important properties of this novel distribution and propose an estimation scheme for its parameters based on moment matching. Furthermore, we provide a qualitative comparison to a recently published approach based on the Bingham distribution, and show that there are complementary advantages and disadvantages of the two approaches.
Keywords
motion estimation; normal distribution; pattern matching; Bingham distribution; SE(2) estimation; moment matching; partially wrapped normal distribution; probability distribution; Correlation; Gaussian distribution; Parameter estimation; Probability distribution; Random variables; Uncertainty; Vectors; SE(2); circular-linear correlation; directional statistics; wrapped normal;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6731-5
Type
conf
DOI
10.1109/MFI.2014.6997733
Filename
6997733
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