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Machine vision and machine learning-based automatic parking method and system

A technology of automatic parking and machine learning, applied in the direction of steering mechanism, vehicle parts, transportation and packaging, etc., can solve problems such as inability to complete automatic parking, limited use conditions, and inability to recognize parking space lines, etc., to achieve a wide range of applications , reliable parking process and simple design

Active Publication Date: 2018-03-02
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Radar positioning can accurately identify obstacles, but it is greatly disturbed by the environment. Therefore, to accurately identify parking spaces, the driver needs to have a good grasp of the relative position of the car and the parking space, and the parking space line cannot be recognized, and there is no curb roadbed recognition in garages, etc. objects, or when there are no other vehicles on both sides, automatic parking cannot be completed
More advanced panoramic cameras also have the recognition function of parking spaces, but limited by factors such as light and weather, the recognition accuracy is often poor
At the same time, most of the traditional automatic parking systems are semi-automatic modes in which the machine prompts the driver to operate, or the machine controls the steering wheel, and the driver controls the accelerator and brake. The fully automatic automatic parking system also has relatively limited conditions of use and low reliability. High disadvantage

Method used

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  • Machine vision and machine learning-based automatic parking method and system
  • Machine vision and machine learning-based automatic parking method and system
  • Machine vision and machine learning-based automatic parking method and system

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] figure 1 It is a flowchart of the automatic parking method process of the present invention, and the specific steps of the method include:

[0051] Step 1: Take real-time environmental images through the cameras around the vehicle body and input them into the computer;

[0052] Among them, the cameras used in machine vision and binocular matching method include four cameras on the front, rear, left, and right sides of the vehicle body.

[0053] Step 2: Process the image obtained in step 1 frame by frame, and recognize it through machine vision. If a valid parking line is recognized, go to step 3; otherwise, go back to step 1;

[0054] Preferably, step 2 is as image 3 As shown, the specific steps of image frame-by-frame recognition processing and machine vision recognition are:

[0055] Step 21: use the median filter method to perform noise reduction process...

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Abstract

The invention provides a machine vision and machine learning-based automatic parking method and system. Images are collected via cameras arranged all around an automobile body, and a three-dimension image of the surround environment and a distance between the automobile body and a surrounding environment object can be obtained; parking lines can be identified according to a machine vision technology; the automobile is parked when an effective image is identified and an automatic driving mode is started; at the automatic driving mode, an optimal scheme is selected from preset parking lines according to a relative position between the current automobile and a parking lot; and the automobile is parked with a steering wheel, an accelerator and a brake pedal which are controlled by an electriccontrol device. Based on a preset database and reinforced machine learning, improvements are continuously made during the parking process, so less data input is guaranteed upon more application conditions; low demand is required for a parking position of the parking lot; forward and backward operations can be conducted; a wide application range is provided; and by the use of the machine vision andmachine learning-based automatic parking method and system, parking speed is accelerated and a reliable parking process is obtained.

Description

technical field [0001] The invention relates to an automatic driving control device for a smart car, in particular to an automatic parking method and system based on machine vision and machine learning. Background technique [0002] Standardized parking of vehicles according to the parking space line is conducive to the rational use of urban resource space, the safety of vehicle start and stop, and the planning of city appearance. Due to the huge number of modern cars and the wide variety of actual environments, parking problems often consume people's time and energy, and even cause safety accidents such as friction and collision between vehicles. Therefore, automatic parking systems have room for their existence and development. [0003] Traditional automatic parking systems generally use radar or panoramic cameras for positioning in the positioning part. Radar positioning can accurately identify obstacles, but it is greatly disturbed by the environment. Therefore, to accu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W30/06B62D15/02
CPCB60W30/06B62D15/0285
Inventor 叶超赵又群
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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