A Lane Detection Algorithm Based on Elliptical Searching Region in Hough Parameter Space
| Autor: | H.-Y. Fan, 范修源 |
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| Rok vydání: | 2011 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 99 Region of interest (ROI) for the lane detection is a commonly used approach to reduce the computational complexity. However, the traditional ROI in the Hough parameter space is prone to result in vibrated lane markings. To solve this problem, this study presents an elliptic ROI in the Hough parameter space. The proposed ROI not only can increase the accuracy of lane detection but also can further reduce the computational complexity of Hough transform. Besides, this study also presents two auxiliary systems. One is the assistant lane detection, which is used to solve the problem that one side of lane-markings is disappeared. The other one is the lane changing system, which can be used to warn the driver that the car is going to leave the track. Experimental results show that the proposed algorithm results in more accurate and satisfying lane-marking detection. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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