Support and monitoring trajectory paths for vehicles using mobile devices

Currently artificial intelligence combined with computer vision has helped in performing daily activities, the current tendency of semi-autonomous vehicles assisted by artificial intelligence and computer vision has created a new field of image processing research. The image processing to support autonomous route tracking systems they have been tested in controlled media. In this investigation we perform the implementation of a system of guide and trajectory tracking in real scenarios (not controlled media) as road and city streets. Propose a new method for detecting lines as the Hough transform, in a simple and efficient for the detection of lane on a mobile manner. With the above determined whether or not the vehicle conserves his lane by opening angles of triangles detected with the mobile camera, to support and assist the driver. The methodology is tested to determine its performance qualitatively and quantitatively.