研究者総覧
MISC
- タイトル
- タイトル（英）
- Pallet Detection and Estimation for Fork Insertion with RGB-D Camera
- 参照URL
- https://researchmap.jp/7000020455/misc/40343618
- 著者
- 著者（英）
- Ryosuke Iinuma,Yusuke Hori,Hiroyuki Onoyama,Takanori Fukao,Yukihiro Kubo
- 担当区分
- 概要
- 概要（英）
- Forklifts are necessary to carry pallets in agricultural work; however, a high level of skill is required to steer and control forks. Inserting the forks into a hole of the pallet is difficult for operators to control both the height and angle of the forks to avoid damaging the pallets because the size of the hole is small. The slight inclination of the ground could lead to the collision of the pallet and the forks. We describe an approach to automatically insert forks into a hole of a pallet on a truck under a tilted ground. Our approach for the safe fork insertion of an autonomous forklift uses an RGB-D (RGB, Depth) camera. The pallet is detected by semantic segmentation with the RGB image during insertion. The system calculates the position and orientation of the pallet with the result of semantic segmentation and depth. We verify the effectiveness of the approach with an experiment with the forklift in an outdoor environment assuming the real task.
- 出版者・発行元
- 出版者・発行元（英）
- IEEE
- 誌名
- 誌名（英）
- 2021 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2021)
- 巻
- 号
- 開始ページ
- 854
- 終了ページ
- 859
- 出版年月
- 2021年
- 査読の有無
- 招待の有無
- 掲載種別
- ISSN
- DOI URL
- https://doi.org/10.1109/ICMA52036.2021.9512641
- 共同研究・競争的資金等の研究課題
研究者
小野山 博之
(オノヤマ ヒロユキ)