Intelligent auxiliary parking method and implementation system thereof

Abstract

The invention discloses an intelligent auxiliary parking method, which comprises the following steps of: planning parking paths in two parts, wherein in-space regulation paths are planned, and then storage paths are planned; and providing a human-computer interaction interface, receiving the intention of a driver, and displaying parking information. An intelligent auxiliary parking system for implementing the method comprises an environment sensing unit, a path planning unit, a driving control unit and a human-computer interface unit, which are in communication contact with one another. A vehicle can be guided into a parking space from any starting position, so that the number of times of pivot steering and changes in forward and backward movement of the vehicle in a parking process can be reduced; and under a parallel parking condition, a proper parking space can be selected according to the maximum permissible number of in-space regulation set by the driver, so that the requirements of the vehicle on the length of a parallel parking space are lowered.

Description

technical field [0001] The invention belongs to the technical field of vehicle control, and relates to a driving assistance technology, in particular to an intelligent auxiliary parking technology for automobiles. Background technique [0002] Due to the increase in the number of cars in the city, the problem of tight parking spaces has become increasingly prominent. Parking has become a difficult problem in urban traffic. When parking, the driver needs to observe and judge the surrounding environment in a small and compact space. Controlling the steering wheel, accelerator and brake at the same time puts forward high requirements on its driving skills and responsiveness. Therefore, it is necessary to develop an auxiliary parking system to help the driver complete the parking operation. [0003] Intelligent parking or assisted parking system has become the focus of research at home and abroad. Intelligent parking system generally includes perception system, control system an...

AI Technical Summary

Problems solved by technology

[0004] At present, the control algorithms of intelligent parking are mainly divided into the following categories: path planning and following algorithms. The module controls the vehicle to follow the planned path, and finally drives the vehicle into the parking space. This method has a simple algorithm, is easy to implement, and has a low calculation cost. Based on the experience-based intelligent algorithm, it formulates a control strategy based on the parking experience of the human driver to control the vehicle. Parking and warehousing generally include fuzzy control, neural network, genetic algorithm, and particle swarm algorithm. These intelligent algorithms can better solve nonlinear problems, but have poor adaptability, complicated control rules, and high calculation costs; attitude stabilization algorithm Through stability analysis, the attitude of the vehicle converges to zero, so as to gradually control the vehicle to reach the target attitude. This algorithm has high nonlinearity and a large amount of calculation.

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