一种鲁棒性的多车道线检测算法 (Robust Multi-lane Detection Algorithm)

Machine vision is widely used in the field of intelligent vehicles , lane line detection has become a research hotspot in the field of artificial intelligence. In order to obtain a more robust lane-line detection effect , a lane-line feature filter based on multi-condition constraint was proposed , and a new clustering algorithm for lane-line feature was pro posed. By using Kalman filter , the position and width of the lane line based on the perspective projection linear relation ship are used to set the adaptive dynamic ROI. In addition , the constraint condition is obtained by using the characteris tics of the lane line to obtain a more stable detection result. The real-time detection results in the real road environment show that the algorithm is robust and real-time , and has a very stable detection effect.