Simple robust road lane detection algorithm

Author

Chan Yee Low ; Zamzuri, Hairi ; Mazlan, Saiful Amri

Author_Institution

Proton Active Safety Lab., UTM, Kuala Lumpur, Malaysia

fYear

2014

fDate

3-5 June 2014

Firstpage

1

Lastpage

4

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.

Keywords

Hough transforms; edge detection; image sensors; intelligent transportation systems; optimisation; traffic engineering computing; video signal processing; Canny edge detection; Hough Transform lane generation; feature recognition; image processing; intelligent vehicle systems; optimization; robust road lane marker detection algorithm; video processing; visible left lane markers; visible right lane markers; vision sensor; Detection algorithms; Feature extraction; Image edge detection; Roads; Robustness; Transforms; Vehicles; Canny edge detection; Hough Transform; road lane detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-4654-9

Type

conf

DOI

10.1109/ICIAS.2014.6869550

Filename

6869550