Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 2, September 2020, Pages 86 - 90

Development of the Image-based Flight and Tree Measurement System in a Forest using a Drone

Authors
Keiji Kamei1, *, Masahiro Kaneoka2, Ken Yanai2, Masaya Umemoto2, Hiroki Yamaguchi2, Kazuki Osawa2
1Department of Production Systems, Graduate School of Engineering, Nishinippon Institute of Technology, 1-11 Aratsu, Kanda, Miyakogun, Fukuoka 800-0394, Japan
2Department of Information Systems, School of Engineering, Nishinippon Institute of Technology, 1-11 Aratsu, Kanda, Miyakogun, Fukuoka 800-0394, Japan
*Corresponding author. Email: kamei@nishitech.ac.jp
Corresponding Author
Keiji Kamei
Received 2 December 2019, Accepted 8 April 2020, Available Online 2 June 2020.
DOI
https://doi.org/10.2991/jrnal.k.200528.003How to use a DOI?
Keywords
Deep learning, region convolutional neural networks, structure from motion, simultaneous localization and mapping, recognition of trees, drone in a forest
Abstract

Drones have been used in many purposes for a long time. Especially, development of the automatic observation systems such as measurement using drones for the primary sector of industry have been frequently researched in recent years. The measurement of a tree growth in a forest is also one of the aim for a drone application. In this study, our aim is to develop the automatic measurement system for size of a tree in a forest. The difficulties are that a drone has to recognize trees, to construct a map of a forest and to measure the size of trees from a front camera. To overcome those difficulties, we propose that a drone recognizes trees based on single shot multibox detector (SSD), constructs a map from simultaneous localization and mapping (SLAM) and measures a tree by structure from motion (SfM). Experimental results from the drone competition show that a drone has been able to recognize a tree and to fly safety.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
7 - 2
Pages
86 - 90
Publication Date
2020/06
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.200528.003How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Keiji Kamei
AU  - Masahiro Kaneoka
AU  - Ken Yanai
AU  - Masaya Umemoto
AU  - Hiroki Yamaguchi
AU  - Kazuki Osawa
PY  - 2020
DA  - 2020/06
TI  - Development of the Image-based Flight and Tree Measurement System in a Forest using a Drone
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 86
EP  - 90
VL  - 7
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200528.003
DO  - https://doi.org/10.2991/jrnal.k.200528.003
ID  - Kamei2020
ER  -