High Accuracy Successive Moving Baseline Estimation Method for a Slow Speed Robot based on GNSS Positioning

High Accuracy Successive Moving Baseline Estimation Method for a Slow Speed Robot based on GNSS Positioning —Further Results

Published:2024-04-01 Issue:0 Volume:2024 Page:53-59
ISSN:2188-4730
Container-title:Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
language:en
Short-container-title:Stochastic Systems Theory and its Applications (SSS)

Author:

Hayashi Hiroki¹,Umemura Fumihito¹,Koya Yoshiharu²,Kubo Yukihiro¹

Affiliation:

1. Department of Electrical and Electronic Engineering, Ritsumeikan University

2. Department of Electronic Engineering, Kobe City College of Technology

Publisher

The Institute of Systems, Control and Information Engineers

Link

https://www.jstage.jst.go.jp/article/sss/2024/0/2024_53/_pdf

Reference17 articles.

1. [1] H. Hayashi, N. Sasamoto, Y. Koya, and Y. Kubo, “A Method of Successive Moving Baseline Estimation of a Slow Speed Robot Based on GNSS positioning,” Proceedings of the 4th Society for the Advancement of Positioning Technologies, pp.8-16, Osaka, September, 2022 (in Japanese).

2. [2] H. Hayashi, N. Sasamoto, Y. Koya, and Y. Kubo, “A Method of Successive Moving Baseline Estimation of a Slow Speed Robot Based on GNSS positioning,” Proceedings of the 54th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, pp.8–16, Nara, October, 2022.

3. [3] The Geodetic Society of Japan (Eds.): Global Positioning System - Precise Positioning System by Artificial Satellite, New Edition, Japan Association of Surveyors, 1989 (in Japanese).

4. [4] K. Sumiyama, Y. Koya and Y. Kubo: The automatic pollination robot targeted strawberry flower, Kansai-section Joint Convention of Institutes of Electrical Engineering, pp.42-43, Shiga, November, 2020 (in Japanese).

5. [5] H. Tamura: The Computer Image Processing, Ohmsha, Tokyo, 2002 (in Japanese).