Development of an autonomous driving system using 3D-LiDAR and SLAM in an orchard-Reference-Cited by-同舟云学术

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Development of an autonomous driving system using 3D-LiDAR and SLAM in an orchard

Published:2024 Issue:1 Volume:17 Page:1-11
ISSN:1881-8366
Container-title:Engineering in Agriculture, Environment and Food
language:en
Short-container-title:Engineering in Agriculture, Environment and Food

Author:

KAIZU Yutaka¹,OKAMOTO Ryosuke¹²,IGARASHI Sho¹,FURUHASHI Kenichi¹,IMOU Kenji¹

Affiliation:

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

2. Kubota Corp.

Publisher

Asian Agricultural and Biological Engineering Association

Link

https://www.jstage.jst.go.jp/article/eaef/17/1/17_1/_pdf

Reference18 articles.

1. Autoware. 2022. Autoware - the world’s leading open-source software project for autonomous driving. https://github.com/autowarefoundation/autoware

2. Besl, P. J. et al. 1992. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 14 (2): 239–256. https://doi.org/10.1109/34.121791

3. Biber, P. et al. 2003. The normal distributions transform: a new approach to laser scan matching. Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3: 2743–2748. https://doi.org/10.1109/IROS.2003.1249285

4. Chen, M. et al. 2021. 3D global mapping of large-scale unstructured orchard integrating eye-in-hand stereo vision and SLAM. Computers and Electronics in Agriculture. 187: 106237. https://doi.org/10.1016/j.compag.2021.106237

5. CloudCompare. 2022. CloudCompare. Version 2.12. https://cloudcompare.org

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