A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
A probabilistic Hough transform
Pattern Recognition
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Edge-based Lane Change Detection and its Application to Suspicious Driving Behavior Analysis
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 02
Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving
IEEE Transactions on Intelligent Transportation Systems
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
IEEE Transactions on Intelligent Transportation Systems
| Hi-index | 0.00 |
Lane detection plays a key role in the vision-based driver assistance system and is used for vehicle navigation, lateral control, collision prevention, or lane departure warning system. In this paper, we present an adaptive method for detecting lane marking based on the intensity of road images in night scene which is the cause of numerous accidents. First, a region of interest (ROI) image is extracted from the original image and converted to its grayscale image in which the value of each pixel is the maximum value of R, G and B channel of ROI image. After that, we find the maximum intensity on each row of grayscale image. Finally, the lane boundary is detected by Hough transform. Experiment results indicate that the proposed approach was robust and accurate in night scene.