Edge-Node Map Based Localization without External Sensor Data
Author(s) -
Masaro Kimba,
Noriaki Machinaka,
Y. Kuroda
Publication year - 2018
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2018.11.542
Subject(s) - odometry , enhanced data rates for gsm evolution , computer vision , artificial intelligence , computer science , node (physics) , robot , trajectory , visual odometry , mobile robot , engineering , physics , astronomy , structural engineering
In this paper, we propose a novel localization method which utilize a edge-node map and information from only inner sensors. To reduce integration errors, we estimate the passed edge from measured moving distance and direction, and integrate the trajectory of the odometry with the estimated edge. We performed two kinds of experiments. First, we operated the robot in four kinds of environments. Second, the robot travel autonomously using this method. From these experiments, we confirmed that our localization system works properly in various kinds of environments and for autonomous driving.
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