Region-of-Interest Generation for Lane Detection Using High-level Information
Vision-based lane detection is still a challenging task in real application with a variety of complex road scenes.What makes the problem even more difficult is the requirements of real time implement with on-board processor.To speedup the lane detection processing,the Region-of-Interesting (ROI) method was widely used to narrow the candidate searching range for local road features.In this paper,a continuous form of the ROI is first deduced from the lane model and the perspective projection.Then the factors that contribute to the appearance of the ROI are discussed.Lastly,an approximated form of the ROI is given for fast computing.In the proposed model,ROI is considered as a probability map,in which the value is corresponding to the possibility of the lane-markings to appear in a certain location in the scene.Moreover,the model takes the running manner of the vehicle and vibration of the vehicle into account.Experiments show that the proposed algorithm is very efficient in removing the outliers of local features in complex road scenes.
lane detection region of interest vanishing point lane model
XIANG-JING AN JIAN LI ER-KE SHANG
Institute of Automation, National University of Defense Technology, Changsha 410073, China
国际会议
2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)
桂林
英文
103-108
2011-07-10（万方平台首次上网日期，不代表论文的发表时间）