Quasi-Zenith Satellite System-based Tour Guide Robot at a Theme Park

Kohei Matsumoto, Hiroyuki Yamada, Masato Imai, Akihiro Kawamura, Yasuhiro Kawauchi, Tamaki Nakamura, Ryo Kurazume

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

6 被引用数 (Scopus)

抄録

For autonomous service robots used in our daily environment, such as a personal mobility vehicles or delivery robots, localization is one of the most important and fundamental functions. A number of localization techniques, including simultaneous localization and mapping, have been proposed. Although a Global Navigation Satellite System (GNSS) is most commonly used in outdoor environments, its accuracy is around 10 meters and so is inadequate for navigation of an autonomous service robot. Therefore, a GNSS is usually used together with other localization techniques, such as map matching or camera-based localization. In the present study, we adopt the Quasi-Zenith Satellite System (QZSS), which became available in and around Japan on November 2018, for the localization of an autonomous service robot. The QZSS provides high-accuracy position information using electronic reference points and four quasi-zenith satellites, and has a localization error of less than 10 centimeters. In the present paper, we compare the positioning performance of the QZSS and real-time kinematic GPS, and verify the stability and the accuracy of the QZSS in an outdoor environment. In addition, we introduce a tour guide robot system using the QZSS and present the results of a guided tour experiment in a theme park.

本文言語英語
ホスト出版物のタイトルProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1212-1217
ページ数6
ISBN(電子版)9781728166674
DOI
出版ステータス出版済み - 1月 2020
イベント2020 IEEE/SICE International Symposium on System Integration, SII 2020 - Honolulu, 米国
継続期間: 1月 12 20201月 15 2020

出版物シリーズ

名前Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020

会議

会議2020 IEEE/SICE International Symposium on System Integration, SII 2020
国/地域米国
CityHonolulu
Period1/12/201/15/20

!!!All Science Journal Classification (ASJC) codes

  • 人工知能
  • コンピュータ サイエンスの応用
  • 生体医工学
  • 制御およびシステム工学
  • 安全性、リスク、信頼性、品質管理
  • 制御と最適化
  • 器械工学

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