Parking space contour precision improving method and automatic parking system

Abstract

The invention provides a parking space contour precision improving method and an automatic parking system. The method comprises the steps: employing a detection device of a vehicle for measuring the distance between the vehicle and an obstacle for multiple times in real time; taking the position of the vehicle as a measuring point, and measuring the distance between the moving vehicle and the obstacle at different measuring points to obtain parking space contour data which are the same as or similar to the contour of the actual parking space edge; and identifying the parking space according to the parking space contour data. The automatic parking system adopts the method to realize automatic parking. Under the condition that original functions are not affected, the detection speed can be increased, the scanning frequency is increased, more detection data are obtained, and the detection time is shortened.

Description

technical field [0001] The invention relates to the technical field of ultrasonic measurement, in particular to a method for improving the contour accuracy of a parking space and an automatic parking system applying the method. Background technique [0002] In the automatic parking radar system, in order to detect the roadside, the general detection depth is opened to a position of about 5 meters, so that each detection cycle will be relatively long, the number of parking space scans will be less, and the detection data obtained will be less, which is not conducive to parking. Contour data analysis may result in insufficient accuracy of the parking space contour. In theory, the more data there are, the more accurate the analyzed data will be, and the more accurate the obtained parking space contour will be. [0003] At present, the parking space recognition of the ultrasonic automatic parking system basically relies on the emission of ultrasonic scanning. In order to take i...

AI Technical Summary

Problems solved by technology

In order to take into account the recognition of the roadside and the detection of vertical parking spaces, long-distance and long-distance detection is used in the market. The disadvantage is that the number of detections per unit time is small, the number of scanning points is not enough, and the contour of the parking space may not be scanned finely enough, resulting in the parking space. The detection accuracy is not enough, which affects the parking effect

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