An Odometry-free Approach for Simultaneous Localization and Online Hybrid Map Building

In this paper, a new approach is proposed for mobile robot localization and hybrid map building simultaneously without using any odometry hardware system. The proposed method termed as Genetic Bayesian ARAM which comprises two main components: 1) Steady state genetic algorithm (SSGA) for self-locali...

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Bibliographic Details
Main Authors: Wei Hong Chin, Chu Kiong Loo, Naoyuki Kubota, Yuichiro Toda
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-11-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/frobt.2016.00068/full