Adaptive particle filter for localization problem in service robotics

In this paper we present a statistical approach to the likelihood computation and adaptive resampling algorithm for particle filters using low cost ultrasonic sensors in the context of service robotics. This increases the efficiency of the particle filter in the Monte Carlo Localization problem by m...

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Bibliographic Details
Main Authors: Heilig Alexander, Mamaev Ilshat, Hein Björn, Malov Dmitrii
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201816101004