碩士 / 國立臺北大學 / 資通科技產業碩士專班 / 102 / Constant innovation in traffic and vehicle safety has prompted attention to the issue of blind spots around the vehicles during driving. Extensive research concerning driver assistance systems has been conducted and the blind areas around a vehicle have been determined to constitute a main threat to traffic safety. To address the problem of blind spots, some manufacturers install four cameras around the vehicle and build a top-view image of the surrounding area that is shown on an interior display. However, many such systems exhibit defects and blind areas remain. This study involved constructing a 360◦ top-view image of a vehicle by using multiple sh-eye cameras. The system consists of three components: distortion calibration of the fish-eye lenses, top-view image transformation, and merging of four images. We used Ration Function to implement the calibration and used matrix to transform the image to top-view, then utilized the property of matrix to reduce the error to complete the 360◦ image.
| Identifer | oai:union.ndltd.org:TW/102NTPU1652002 |
| Date | January 2014 |
| Creators | Hao Li, 李晧 |
| Contributors | Daw-Tung Lin, 林道通 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 36 |
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