Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Oh, Hyun Min | - |
| dc.contributor.author | Lee, HyunKi | - |
| dc.contributor.author | Kim, Min Young | - |
| dc.date.accessioned | 2023-12-26T20:44:05Z | - |
| dc.date.available | 2023-12-26T20:44:05Z | - |
| dc.date.created | 2017-11-10 | - |
| dc.date.issued | 2017-11-08 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/47087 | - |
| dc.description.abstract | The importance of anti-drone system is increasing depending on the prevalence of drones. In case of conventional anti-drone system, a drone is detected using an EO/IR (Electro Optics/Infra-Red) camera. While EO/IR camera is easy to detect drones, there are expensive and do not detect under certain environments. In this paper, drone detection system using 3D measurement utilizing RGB camera and color coded aperture is proposed to solve this problem. Color coded aperture makes a special change on the PSF (Point Spread Function) of G-channel for easy 3D measurement. The performed experiments verify its effectiveness of the proposed methods. | - |
| dc.language | English | - |
| dc.publisher | International Society of Optomech | - |
| dc.title | Visual Drone Detection by Using Color Coded Aperture Based Optical Imaging System | - |
| dc.type | Conference Paper | - |
| dc.identifier.bibliographicCitation | International Symposium on Optomechatronic Technology 2017 | - |
| dc.citation.conferencePlace | CH | - |
| dc.citation.conferencePlace | Tinan, NCKU | - |
| dc.citation.title | International Symposium on Optomechatronic Technology 2017 | - |
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