Real-Time Detection of Road Lane-Lines for Autonomous Driving

Author(s): Wael Farag*

Journal Name: Recent Advances in Computer Science and Communications
Formerly Recent Patents on Computer Science

Volume 13 , Issue 2 , 2020

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Graphical Abstract:


Background: Enabling fast and reliable lane-lines detection and tracking for advanced driving assistance systems and self-driving cars.

Methods: The proposed technique is mainly a pipeline of computer vision algorithms that augment each other and take in raw RGB images to produce the required lane-line segments that represent the boundary of the road for the car. The main emphasis of the proposed technique in on simplicity and fast computation capability so that it can be embedded in affordable CPUs that are employed by ADAS systems.

Results: Each used algorithm is described in details, implemented and its performance is evaluated using actual road images and videos captured by the front mounted camera of the car. The whole pipeline performance is also tested and evaluated on real videos.

Conclusion: The evaluation of the proposed technique shows that it reliably detects and tracks road boundaries under various conditions.

Keywords: Computer vision, lane detection, self-driving car, autonomous driving, ADAS, RGB images.

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Article Details

Year: 2020
Published on: 04 June, 2020
Page: [265 - 274]
Pages: 10
DOI: 10.2174/2213275912666190126095547
Price: $25

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