Parallel intelligent vehicle control system based on ACP (artificial systems, computational experiments and parallel execution)

Abstract

The invention belongs to the intelligent vehicle field and relates to a parallel intelligent vehicle control system based on ACP (artificial systems, computational experiments and parallel execution). The invention aims to realize the safe driving of driverless vehicles and decrease the manufacturing costs of the driverless vehicles. The control system includes a parallel control center and an actual vehicle and road system; the parallel control center comprises a calculation control center and an artificial vehicle and road system; the calculation control center collects vehicle driving parameters and traffic information from the actual vehicle and road system and collects relevant information from the Internet; and control strategies are obtained through calculation and experiments and are executed parallelly in the actual vehicle and road system and the virtual artificial vehicle and road system. According to the parallel intelligent vehicle control system based on the ACP of the invention, the intelligentialization of road side equipment is improved, and therefore, the security problem of the driverless vehicles can be solved, traffic efficiency and overall coordination degree can be improved, and the costs of the onboard equipment of the intelligent vehicles can be reduced.

Description

technical field [0001] The invention relates to the field of smart cars, in particular to a parallel smart car control system based on the ACP method. Background technique [0002] Unmanned driving can bring a safer, more efficient, and more comfortable driving experience, which has become the consensus of the industry around the world. Therefore, many countries such as the United Kingdom, the United States, Germany, Japan, and China are already actively conducting research and development of driverless vehicles. [0003] However, driverless vehicles currently face two major problems: [0004] 1. Poor security and reliability [0005] When the unmanned driving system cannot recognize the complex environment, it will lead to traffic accidents and casualties. Security is mainly limited by imperfect algorithms and low system sensitivity. Reliability is mainly caused by equipment failure, system downtime and false detection of sensing system. [0006] 2. Expensive [0007] ...

AI Technical Summary

Problems solved by technology

[0004] 1. Poor security and reliability

[0005] When the unmanned driving system cannot recognize the complex environment, it will lead to traffic accidents and casualties

Security is mainly limited by imperfect algorithms and low system sensitivity. Reliability is mainly caused by equipment failure, system downtime and sensory system false detection

[0006] 2. Expensive

This invention is only used for parking guidance, and does not propose a guidance strategy for vehicles driving on the road, especially does not propose a solution for the safe and reliable driving of unmanned vehicles, and does not propose a method for reducing the cost of unmanned vehicles

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