Autonomous Navigation and Obstacle Avoidance in an Orchard Using Machine Vision Techniques for a Robotic Mower-Reference-Cited by-同舟云学术

Autonomous Navigation and Obstacle Avoidance in an Orchard Using Machine Vision Techniques for a Robotic Mower

Published:2022 Issue:4 Volume:15 Page:87-99
ISSN:1881-8366
Container-title:Engineering in Agriculture, Environment and Food
language:en
Short-container-title:Engineering in Agriculture, Environment and Food

Author:

INOUE Kosuke¹,KAIZU Yutaka²,IGARASHI Sho²,FURUHASHI Kenichi²,IMOU Kenji²

Affiliation:

1. Honda R&D Co., Ltd.

2. Graduate School of Agricultural and Life Sciences, The University of Tokyo

Publisher

Asian Agricultural and Biological Engineering Association

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Food Science

Link

https://www.jstage.jst.go.jp/article/eaef/15/4/15_87/_pdf

Reference18 articles.

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2. Filatov, A., A. Filatov, K. Krinkin, B. Chen and D. Molodan. 2017. 2D SLAM quality evaluation methods. Proceedings of the 21st Conference of Open Innovations Association (FRUCT). 120–126. Helsinki, Finland, 06–10 November 2017. https://doi.org/10.23919/FRUCT.2017.8250173, (Accessed 18 Oct. 2022).

3. Fox, D., W. Burgard and S Thrun. 1997. The dynamic window ap- proach to collision avoidance. IEEE Robotics & Automation Magazine. 4 (1): 23–33. https://doi.org/10.1109/100.580977, (Accessed 18 Oct. 2022).

4. Inoue, K., Y. Kaizu and K. Imo. 2020. Development of a distance sensor system for robotic mower using machine vision. Journal of the Japanese Society of Agricultural Machinery and Food Engineers. 82 (2): 162–168.

5. Kaizu, Y., T. Tsutsumi and S. Igarashi. 2018. Development of an autonomous driving control system for a robot mower using a low-cost single-frequency GNSS and a low-cost IMU. Journal of the Japanese Society of Agricultural Machinery and Food Engineers. 80 (5): 271–279. https://doi.org/10.11357/jsamfe.80.5_271, (Accessed 18 Oct. 2022).

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