Self-Localization Method Utilizing Environment-Embedded Information and Range Sensory Information

被引:0
作者
Kawabata, Kuniaki [1 ]
Itoh, Daisuke [2 ]
Hada, Yasushi [1 ]
Chugo, Daisuke [3 ]
Kaetsu, Hayato [1 ]
Asama, Hajime [4 ]
机构
[1] RIKEN, Inst Phys & Chem Res, 2-1 Hirosawa, Wako, Saitama 3510198, Japan
[2] SOFTBRAIN Co Ltd, Tokyo 1040032, Japan
[3] Univ Tokyo, Intelligent Modeling Lab, Bunkyo Ku, Tokyo 1138656, Japan
[4] Univ Tokyo, RACE, Kashiwa, Chiba 2778568, Japan
关键词
information assistant; range data; outdoor vehicle; self-localization;
D O I
10.20965/jrm.2006.p0131
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
In this current research, we are developing an automatic navigation system for outdoor vehicles. Especially, in this paper we propose self-localization method based on the information stored in Information Assistant (IA) devices and range sensor information. IA is a sort of electronics device with wireless communication function based on RF-ID and stored local environment map. The vehicle reads reference data from distributed IAs in the environment and compares such data and scanning range data by using Laser Range Finder (LRF). A probabilistic calculation is introduced to match the sensory information and environment-embedded information. We had the experiment for verifying the validity of our localization method using outdoor vehicle.
引用
收藏
页码:131 / 138
页数:8
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