| Presentation | 2018-03-16 Drone control and Image recognition using Node.js Masato Negoro, Hiroshi Sunaga, Satoshi Nishiguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a new environment to develop applications and programs for drone control and video image recognition. By linking with the computer vision library ‘OpenCV’, applications that make use of moving pictures taken from the drone camera can be easily created. Until now, individual techniques had been developed for controlling the drone on the Robotics Operating System (ROS) and for recognizing images by using OpenCV installed on Linux. Here, we propose a unified environment to facilitate applications based on Node.js and JavaScript programming. It includes Node.js based libraries such as ‘node-bebop’ for application developers, OpenCV’s connector module to Node.js, OpenCV’s marker detector library ‘ArUco’, and a cross-platform desktop application engine 'Electron'. Application developers can code JavaScript programs on this platform and users can manipulate the drone and images on the browser screen. The drone game we have implemented shows this platform’s effectiveness. Besides the game, of course, this platform is expected to have a wide range of applications such as in the areas of automatic operation guided by markers and non-GPS-guided flight. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Services Computing / Drone control / Node.js / OpenCV / Marker detection |
| Paper # | SC2017-32 |
| Date of Issue | 2018-03-09 (SC) |
| Conference Information | |
| Committee | SC |
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| Conference Date | 2018/3/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NII |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Foundation and Application of Smart Services, etc. |
| Chair | Incheon Paik(Univ. of Aizu) |
| Vice Chair | Masahide Nakamura(Kobe Univ.) |
| Secretary | Masahide Nakamura(NEC) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Service Computing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Drone control and Image recognition using Node.js |
| Sub Title (in English) | |
| Keyword(1) | Services Computing |
| Keyword(2) | Drone control |
| Keyword(3) | Node.js |
| Keyword(4) | OpenCV |
| Keyword(5) | Marker detection |
| 1st Author's Name | Masato Negoro |
| 1st Author's Affiliation | Osaka Institute of Technology(Osaka Inst. of Tech.) |
| 2nd Author's Name | Hiroshi Sunaga |
| 2nd Author's Affiliation | Osaka Institute of Technology(Osaka Inst. of Tech.) |
| 3rd Author's Name | Satoshi Nishiguchi |
| 3rd Author's Affiliation | Osaka Institute of Technology(Osaka Inst. of Tech.) |
| Date | 2018-03-16 |
| Paper # | SC2017-32 |
| Volume (vol) | vol.117 |
| Number (no) | SC-512 |
| Page | pp.pp.7-12(SC), |
| #Pages | 6 |
| Date of Issue | 2018-03-09 (SC) |