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

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...

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

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