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Automated road marking detection system for autonomous car


Khan, Bahadur Shah and Hanafi, Marsyita and Mashohor, Syamsiah (2015) Automated road marking detection system for autonomous car. In: 2015 IEEE Student Conference on Research and Development (SCOReD), 13-14 Dec. 2015, Berjaya Times Square Hotel, Kuala Lumpur, Malaysia. (pp. 398-401).


In recent years, road markings detection has received great attention and has been widely explored due to the aim of producing a system that is able to detect various shape of road markings on the images that are captured under various imaging conditions. Generally, the road images are captured using a camera, which has been placed inside the vehicle at a fixed position. However, the quality of the resulting images decreases if the camera position has been changed accidentally, due to the movement of the car. Hence, in this paper, a road markings detection system that tackle the problems of detecting road markings on the images captured under various camera positions and illumination conditions is proposed. The system consists of a graph cut segmentation method, which is used to detect the road, an inverse perspective transform method, which is used to convert the image into a bird's-eye view image, an image normalization method, which is CLAHE and a connected component analysis that is used to remove the background. We demonstrate the usefulness of the constructed algorithm by performing experiments on a database that consists of 400 road images.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/SCORED.2015.7449364
Publisher: IEEE
Keywords: Binary image; Bird's eye view image; CLAHE; Road detection
Depositing User: Nabilah Mustapa
Date Deposited: 25 Oct 2017 02:32
Last Modified: 28 Dec 2017 03:40
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/SCORED.2015.7449364
URI: http://psasir.upm.edu.my/id/eprint/57677
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