| Presentation | 2019-11-06 Feature Value Extraction of Fruit Trees for Crop Estimation Using 3D Point Cloud Extended Voxel Space Analysis Kaoru Senda, Ryo Shigeta, Wei Guo, Yoshihiro Kawahara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Data sensed by UAV or LiDAR remotely are utilized to extract 3D structure of plant for agriculture. For example, it is investigated and studied to estimate the volume of fruit trees based on 3D point cloud data measured by a laser scanner, e.g. LiDAR, and predict the crops using the estimated volume. Several studies have demonstrated that point cloud data can be analyzed effectively in voxel space, in which 3D space is discretized into an array of cubes called voxels. In such methods, the size of each voxel needs to be set properly. Previous studies often rely on manual parameter tuning on the size of voxels, where the relationship between volume estimation accuracy and voxel size has not been discussed enough. Therefore, this study presents an automatic voxel size adjustment, then we evaluated space resolution and calculation cost tradeoff affected by the voxel sizes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | agriculture / LiDAR / point cloud / 3D image / voxel space / parameter tuning |
| Paper # | SeMI2019-98 |
| Date of Issue | 2019-10-29 (SeMI) |
| Conference Information | |
| Committee | SRW / SeMI / CNR |
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| Conference Date | 2019/11/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kozo Keisaku Engineering Inc. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop (Oral or Poster presentation) |
| Chair | Satoshi Denno(Okayama Univ.) / Susumu Ishihara(Shizuoka Univ.) / Kazunori Takashio(Keio Univ.) |
| Vice Chair | Keiichi Mizutani(Kyoto Univ.) / Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
| Secretary | Keiichi Mizutani(Tokyo Inst. of Tech.) / Kazuya Monden(Anritsu) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NTT DOCOMO) / Yoshihiko Murakawa(Hitachi) |
| Assistant | Masaaki Fuse(Anritsu) / Tomoki Murakami(NTT) / Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(ＮＴＴ) |
| Paper Information | |
| Registration To | Technical Committee on Short Range Wireless Communications / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature Value Extraction of Fruit Trees for Crop Estimation Using 3D Point Cloud Extended Voxel Space Analysis |
| Sub Title (in English) | |
| Keyword(1) | agriculture |
| Keyword(2) | LiDAR |
| Keyword(3) | point cloud |
| Keyword(4) | 3D image |
| Keyword(5) | voxel space |
| Keyword(6) | parameter tuning |
| 1st Author's Name | Kaoru Senda |
| 1st Author's Affiliation | University of Tokyo(U-Tokyo) |
| 2nd Author's Name | Ryo Shigeta |
| 2nd Author's Affiliation | University of Tokyo(U-Tokyo) |
| 3rd Author's Name | Wei Guo |
| 3rd Author's Affiliation | University of Tokyo(U-Tokyo) |
| 4th Author's Name | Yoshihiro Kawahara |
| 4th Author's Affiliation | University of Tokyo(U-Tokyo) |
| Date | 2019-11-06 |
| Paper # | SeMI2019-98 |
| Volume (vol) | vol.119 |
| Number (no) | SeMI-266 |
| Page | pp.pp.145-150(SeMI), |
| #Pages | 6 |
| Date of Issue | 2019-10-29 (SeMI) |