An improved Monte Carlo localization using optimized iterative closest point for mobile robots

An improved Monte Carlo localization using optimized iterative closest point for mobile robots

Abstract This paper details a solution of fusing combination features, Iterative Closest Point (ICP) and Monte Carlo algorithm, in order to solve the problem that mobile robot positioning is easy to fail in a dynamic environment. Firstly, an ICP algorithm based on the maximum common combination feat...

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Bibliographic Details
Main Authors: Wenjian Ying, Shiyan Sun
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Cognitive Computation and Systems
Subjects:
auxiliary particles
combined features
ICP algorithm
Monte Carlo localization
proposal distribution
Online Access:https://doi.org/10.1049/ccs2.12040

Internet

https://doi.org/10.1049/ccs2.12040

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