Automatic parking method and device, computer equipment and storage medium

Abstract

The invention relates to an automatic parking method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a parking space matching request, and collecting a first look-around spliced graph of an environment where a vehicle is located according to the parking space matching request; extracting a first image feature point from the first look-around spliced image, and extracting a first environment feature from the first image feature point; performing feature information matching on the first environment feature and pre-stored parking space information; and when the feature information is successfully matched, acquiring the environment relative position information of the parking space from the successfully matched pre-stored parking space information. By adopting the method, the parking scene applicability and the parking success rate can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an automatic parking method, device, computer equipment and storage medium. Background technique [0002] In real driver parking scenarios, some parking spaces are dedicated or frequently parked by users, such as private parking spaces in residential areas or commercial taxi spaces. The traditional parking system can only retrieve the parking spaces in the driving track when searching for parking spaces, but cannot identify which parking space is needed by the driver. For this reason, the driver needs to observe the display on the car and manually select the target parking space among the retrieved multiple parking spaces, which greatly restricts the driver's behavior. [0003] In addition, due to various reasons such as ambient lighting, obstacles, reflections, etc., the traditional parking visual retrieval technology cannot capture effective parking space in...

AI Technical Summary

Problems solved by technology

The traditional parking system can only retrieve the parking spaces in the driving track when searching for parking spaces, but cannot identify which parking space is needed by the driver

For this reason, the driver needs to observe the display on the car and manually select the target parking space among the retrieved multiple parking spaces, which greatly restricts the driver's behavior

[0003] In addition, due to various reasons such as ambient lighting, obstacles, reflections, etc., the traditional parking visual retrieval technology cannot capture effective parking space information, and cannot perform parking space retrieval, resulting in parking failure, resulting in poor adaptability to parking scenes

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