Android-based driving assistant for lane detection and departure warning

Abstract

Lane detection critical to alert driver to avert car departure from driving lanes is an important issue in Intelligent Vehicle Safety System. Traditional lane detection uses straight line detection approaches like Canny and Hough Line Transforms to detect driving lanes, failing to detect curvy lanes. To solve curvy lane detection and to speed up real-time performance, we propose an Android-based solution for lane detection and departure warning. To achieve straight and cure lane detection, we use adaptive threshold algorithm, frequency of lane appearance and mathematical function to design color-based algorithm. With the camera aligned to the direction of car driving, the middle line of the onboard image is used to check lane departure warning. To speed up real-timer performance, image quality is down-sampled before it is split in half for multi-thread processing by the multi-core CPU commonly available on Android platforms. In contrast to traditional approaches, our solution, solving curvy lane detection with a fps performance roughly doubled, shows much improvement to existing lane detection techniques.