The Path Extraction and Application of Smart Car Based on Camera
Xuan Wen · 2013
Setting in the sixth national undergraduate Freescale smart car competition as the background, this paper introduces the image sampling and the extraction of black lines of smart car system based on camera sensor for route recognition.In order to make the smart car accelerate quickly along the predetermined path,a sensitive steering and rapid deceleration response are needed,which depends on the effective path extraction.In the smart car system,camera sensors are used to collect road information.Two value method;edge detection method and local search methods are used to complete line recognition and procession.The Successive Minus is used in dealing with dotted line and median filter is used for denoising,so as to extract the track guide line.The experimental results show that the proposed method can effectively extract the path and lay the solid foundation for the line identification and the control of smart car system.We achieved excellent results in actual competition.