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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bor-Chyun Wang Yu-May Shan Li-Sheng Wang Jenq Jang-Chyuan Ya-ning Yen Hung-Jen Kuo |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Applied Mechanics, College of Engineering, National Taiwan University, Taipei, Taiwan, ROC (Yu-May Shan; Li-Sheng Wang) || Department of Computer and Communication, Engineering, China University of Technology, Hukuo, 330, Taiwan, ROC (Jenq Jang-Chyuan) || Department of Information Management, China University of Technology, Taiwan, ROC (Hung-Jen Kuo) || Digital Archiving in cultural heritage preservation, China University of Technology, Taiwan, ROC (Ya-ning Yen) || Department of Computer Science and Information, Engineering, China University of Technology, Hukuo, 330, Taiwan, ROC (Bor-Chyun Wang) |
| Abstract | The main theme of this paper is to develop a navigation vehicle system without GPS. With stereo vision, the geographic information ahead of the vehicle is obtained by the principle of plane induced parallax. The profiles of left and right vision are acquired by Canny Edge Detection algorithm. Then, an intersection line of the obstacle and the level ground is found by the way of image processing. Finally, the position and distance of the obstacle is calculated by the homography matrix method. Integrating the above-distributed schemes unmanned vehicle can avoid collisions with obstacles and arrive at the target in difference scenario. Experimental results show that the proposed navigation and control methodology are practicable. |
| Starting Page | 275 |
| Ending Page | 280 |
| File Size | 995806 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844879 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-15 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Asian Control Association |
| Subject Keyword | Geometry image processing Transmission line matrix methods Image processing parallax Cameras Stereo vision obstacle avoidence stereo vision unmanned ground vehicle Global Positioning System |
| Content Type | Text |
| Resource Type | Article |
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