Calculation of likelihood based on quasi-euclidean norm for robust particle-filer-based self-localization
In this paper, we propose to calculate a likelihood based on a quasi-euclidean norm for a fast and robust particle-filter-based self-localization of mobile robots. The quasi-euclidean norm can be calculated faster than the conventional L2 norm. Furthermore, such norm is much robust to noises than th...
Main Authors: | Takayuki NAKAMURA, Yuuichi TASHITA |
---|---|
Format: | Article |
Language: | Japanese |
Published: |
The Japan Society of Mechanical Engineers
2014-08-01
|
Series: | Nihon Kikai Gakkai ronbunshu |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/transjsme/80/816/80_2014dr0242/_pdf/-char/en |
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