A New Approach to Highway Lane Detection by Using Hough Transform Technique

Abstract

This paper presents the development of a road lane detection algorithm using image processing techniques. This algorithm is developed based on dynamic videos, which are recorded using on-board cameras installed in vehicles for Malaysian highway conditions. The recorded videos are dynamic scenes of the background and the foreground, in which the detection of the objects, presence on the road area such as vehicles and road signs are more challenging caused by interference from background elements such as buildings, trees, road dividers and other related elements or objects. Thus, this algorithm aims to detect the road lanes for three significant parameter operations; vanishing point detection, road width measurements, and Region of Interest (ROI) of the road area, for detection purposes. The techniques used in the algorithm are image enhancement and edges extraction by Sobel filter, and the main technique for lane detection is a Hough Transform. The performance of the algorithm is tested and validated by using three videos of highway scenes in Malaysia with normal weather conditions, raining and a night-time scene, and an additional scene of a sunny rural road area. The video frame rate is 30fps with dimensions of 720p (1280x720) HD pixels. In the final achievement analysis, the test result shows a true positive rate, a TP lane detection

Hough Transform Generated Strong Image Hashing Scheme for Copy Detection

“…Hough transform is applied to the image that is obtained after applying one of the edge detection algorithms like canny edge detection, which returns a binary image containing 1's where it finds edges in the input image and 0's elsewhere (Shih, 2010). The Hough transform is used to detect straight lines uses the following parametric representation of the line (Aminuddin et al, 2017).…”

On a Fast Hough/Radon Transform as a Compact Summation Scheme over Digital Straight Line Segments

“…Therefore, fast algorithms for HT computation have become an almost integral part of such systems. They are most often used to search for road marking elements [9,10], and many authors have created algorithms designed for embedded devices [11][12][13].…”

Lane Detection Based on Block-wise Hough Based Features and ANN

“…The feature-oriented approaches are usually applied to detect the lane by extracting the gradients of pixel information or the colour of patterns [9]. In previous studies, Sobel filter [10], Canny operator [11], local threshold [12], Gabor filter [13], color models [14] are usually used as feature detectors; after that, line detection algorithm such as Hough Transform [15], LSD [16], are used to detect the line segments. These approaches are the most primitive and extendable approaches for LD systems.…”