Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview |
Clustering of Laser Scanner Perception Points of Maize Plants
Citation
Reiser, David and Vázquez Arellano, Manuel and Garrido Izard, Miguel and Paraforos, Dimitris S. and Sharipov, G. and Gripentros, H.W. (2017). Clustering of Laser Scanner Perception Points of Maize Plants. "Advances in Animal Biosciences", v. 8 (n. 2); pp. 204-209. ISSN 2040-4719. https://doi.org/10.1017/S204047001700111X.
Description
| Title: | Clustering of Laser Scanner Perception Points of Maize Plants |
|---|---|
| Author/s: |
|
| Item Type: | Article |
| Título de Revista/Publicación: | Advances in Animal Biosciences |
| Date: | July 2017 |
| ISSN: | 2040-4719 |
| Volume: | 8 |
| Subjects: | |
| Faculty: | E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM) |
| Department: | Ingeniería Agroforestal |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
The goal of this work was to cluster maize plants perception points under six different growth stages in noisy 3D point clouds with known positions. The 3D point clouds were assembled with a 2D laser scanner mounted at the front of a mobile robot, fusing the data with the precise robot position, gained by a total station and an Inertial Measurement Unit. For clustering the single plants in the resulting point cloud, a graph-cut based algorithm was used. The algorithm results were compared with the corresponding measured values of plant height and stem position. An accuracy for the estimated height of 1.55 cm and the stem position of 2.05 cm was achieved.
More information
| Item ID: | 47891 |
|---|---|
| DC Identifier: | https://oa.upm.es/47891/ |
| OAI Identifier: | oai:oa.upm.es:47891 |
| DOI: | 10.1017/S204047001700111X |
| Official URL: | https://doi.org/10.1017/S204047001700111X |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 10 Nov 2017 09:35 |
| Last Modified: | 31 May 2019 10:19 |
