Automatic parking system, parking method and vehicle

Abstract

The invention provides an automatic parking system, a parking method, and a vehicle. The automatic parking system includes: an environmental information collection module for collecting distance data and image information between the vehicle and surrounding obstacles; a parking control module for Receive distance data and image information, and establish a parking environment model to determine the parking space and parking path; the model correction module receives the driver's correction instructions on the parking environment model, and establishes a new parking environment model to re-determine the parking route, the parking control module sends a control command according to the re-determined parking route; the vehicle control module receives and executes the control command sent by the parking control module, and controls the vehicle according to the re-determined parking route parking. In the automatic parking system of the present invention, the driver modifies the parking environment model through the model correction module, thereby improving the accuracy of obstacle type identification and the success rate of automatic parking, and reducing the risk of vehicle scratching.

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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