Abstract
This paper introduces an automatic parking method using an around view monitoring system. In this method, parking lines are extracted from the camera images, and a route to a targeted parking slot is created. The vehicle then tracks this route to park. The proposed method extracts lines from images using a line filter and a Hough transform, and it uses a convolutional neural network to robustly extract parking lines from the environment. In addition, a parking path consisting of curved and straight sections is created and used to control the vehicle. Perpendicular, angle, and parallel parking paths can be created; however, parking control is applied according to the shape of each parking slot. The results of our experiments confirm that the proposed method has an average offset of 10.3 cm and an average heading angle error of 0.94°.
Highlights
Automatic Parking System UsingRecently, as the number of vehicles has increased, the automobile industry has expanded its research and development; for instance, driver assistance systems are being studied intensively
We proposed a method for detecting parking slots using an around view monitoring (AVM) system and using it to perform automatic parking
In the method proposed in this study, feature maps were extracted using a line filter and parking lines were extracted via the Hough transform
Summary
Automatic Parking System UsingRecently, as the number of vehicles has increased, the automobile industry has expanded its research and development; for instance, driver assistance systems are being studied intensively. The parking assist system assists the driver in parking situations so that they can park These systems have continuously increased in sophistication from collision warning systems using an ultrasonic sensor [3,4] to systems that show a rear image to the driver using a rear camera, systems that provide a 360◦ -view using an around view monitoring (AVM). An AVM system consists of cameras on the front, rear, left, and right sides of the vehicle and shows a 360◦ -camera view of the vehicle’s environment. It shows the driver a synthesized image of the top view of the vehicle. Because the AVM system provides a top view, it can be used for various applications involving image recognition such as lane detection, moving object detection, and parking line detection
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