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

A control system and parallel control technology, applied in the field of intelligent vehicles, can solve problems such as imperfect safety algorithms, reliability equipment failures, casualties, etc., to improve traffic efficiency and overall coordination, solve safety problems, and reduce traffic. effect of accident

Inactive Publication Date: 2017-10-20
INST OF AUTOMATION CHINESE ACAD OF SCI
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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 sys

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

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Embodiment Construction

[0034] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0035] The invention proposes a parallel intelligent vehicle control system based on the ACP method, which fully utilizes the advantages of the ACP to achieve a balance between driving reliability and vehicle cost. It can not only greatly reduce the cost of vehicles, but also effectively solve the safety problems of smart cars at this stage, improve traffic efficiency and overall coordination, and reduce traffic accidents caused by fatigue driving and other reasons. Every smart car in the future will be accompanied by the inseparable "i-car", which will be a parallel smart car with virtual and real interconnection, intercommunication and inter...

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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] ...

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/024G05D1/0214G05D1/0251G05D1/0257G05D1/0276G05D1/0278
Inventor 王飞跃韩双双王迎春
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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