Automatic parking system and method and vehicle

Abstract

The invention provides an automatic parking system and method and a vehicle. The automatic parking system includes an environmental information acquisition module, a parking control module, a model correction module and a vehicle control module, wherein the environmental information acquisition module is used for collecting distance data and image information between the vehicle and surrounding obstacles; the parking control module is used for receiving the distance data and image information and establishing a parking environment model to determine a parking space and a parking path; the model correction module is used for receiving an correction instruction of a driver to the parking environment model to establish a new parking environment model to redefine the parking path, and the parking control module issues control instruction according to the redefined parking path; and the vehicle control module receives and executes the control instruction issued by the parking control module, and controls the vehicle to be parked according to the redefined parking path. According to the automatic parking system, the driver updates the parking environment model through the model correction module, so that the accuracy of obstacle type identification and the success rate of automatic parking are improved, and the risk of vehicle scratch is reduced.

Description

technical field [0001] The invention relates to the technical field of vehicle control, in particular to an automatic parking system, a parking method and a vehicle with the parking system. Background technique [0002] Existing automated parking systems mostly rely on ultrasonic radar or cameras around the vehicle. However, there are certain defects in these two detection methods, which make the vehicle's detection of the surrounding environment inaccurate, resulting in unsatisfactory parking effects in some scenarios. For example, in the very common underground garage scene, ultrasonic radar is very poor in identifying square pillars in the underground garage. Ultrasonic radar cannot obtain the height information of obstacles, and it is difficult to distinguish between wall obstacles and roadsides. As a result, it is difficult to accurately control the distance between the vehicle and the wall for the parking space next to the wall, which often results in being too close ...

AI Technical Summary

Problems solved by technology

However, both of these detection methods have certain defects, which make the vehicle's detection of the surrounding environment inaccurate, resulting in unsatisfactory parking effects in some scenarios.

For example, in the very common underground garage scene, ultrasonic radar is very poor at identifying square pillars in the underground garage.

Ultrasonic radar cannot obtain the height information of obstacles, and it is difficult to distinguish between wall obstacles and roadsides. As a result, it is difficult to accurately control the distance between the vehicle and the wall for the parking space next to the wall. It is often too close to the wall, making it difficult to open the door, which is likely to cause scratching accidents

[0003] In addition, the existing ultrasonic and camera-integrated automatic parking solution is limited by the detection range of the side-view camera and the computing power of the image processor, so it can only simply recognize lane lines and cannot identify specific obstacles. Object type, prone to parking scratches

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