Development of the Image-based Flight and Tree Measurement System in a Forest using a Drone
- 10.2991/jrnal.k.200528.003How to use a DOI?
- Deep learning; region convolutional neural networks; structure from motion; simultaneous localization and mapping; recognition of trees; drone in a forest
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.
- © 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 - 2020/06/02 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 - 10.2991/jrnal.k.200528.003 ID - Kamei2020 ER -