Zamzuri, Hairi and Mazlan, Saiful Amri and Low, Chan Yee (2014) Simple robust road lane detection algorithm. 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings .
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Official URL: http://dx.doi.org/10.1109/ICIAS.2014.6869550
Abstract
Lane detection plays an important role in intelligent vehicle systems. Therefore, this paper presents a robust road lane marker detection algorithm to detect the left and right lane markers. The algorithm consists of optimization of Canny edge detection and Hough Transform. The system captures images from a front viewing vision sensor placed facing the road behind the windscreen as input. Then a series of image processing is applied to generate the road model. Canny edge detection performs features recognition then followed by Hough Transform lane generation. The algorithm detects visible left and right lane markers on the road based on real-time video processing.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | canny edge detection, Hough Transform |
| Subjects: | T Technology |
| Divisions: | Razak School of Engineering and Advanced Technology |
| ID Code: | 62576 |
| Deposited By: | Widya Wahid |
| Deposited On: | 18 Jun 2017 06:41 |
| Last Modified: | 18 Jun 2017 06:41 |
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