As the number of vehicles soared, demand for parking spaces became more intense. Although there are many horizontal parking spaces located outdoor, many existing methods cannot detect horizontal parking spaces effectively due to the complex environment of outdoor and the long span of horizontal parking space. In this paper, a method based on vehicle-mounted fisheye image is proposed for outdoor parking space detection. While a car goes through a parking space at idle speed, fisheye images are captured by vehicle-mounted fisheye camera. Image processing algorithms are used to remove noise and classify light intensity. Then, different grayscale thresholds are used to enhance image contrast and Canny operator is utilized to detect contour information of the parking space line. Next, Hough transform is performed to detect straight-line segments. Angles of the line segments are calculated to determine whether the segments are perpendicular to each other. If right angle is detected in two consecutive frames, the second frame is selected as signal of starting or ending position of parking space. Different distances between space line and wheels are selected to verify that the method has good adaptability to distance. Experiments show that the proposed method can detect parking line effectively and meet real-time requirement.
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