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An automatic driving control method and system based on quantum computing

A technology of automatic driving control and quantum computing, applied in the direction of quantum computers, calculations, control devices, etc., can solve problems such as slow feedback speed, poor robustness, and complicated calculation process, so as to improve the solution speed, accuracy, and complexity The effect of reducing

Active Publication Date: 2021-06-04
北京量子信息科学研究院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The existing lateral control algorithm includes the PID control algorithm, which takes the current path tracking deviation of the vehicle as an input, and performs proportional, integral and differential control on the tracking deviation to obtain the steering control amount. However, the calculation process of this algorithm is relatively complicated and the processing speed is slow. The feedback speed is slow, and the characteristics of the vehicle itself are not considered, and the robustness to external disturbances is poor

Method used

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  • An automatic driving control method and system based on quantum computing
  • An automatic driving control method and system based on quantum computing
  • An automatic driving control method and system based on quantum computing

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Embodiment 1

[0044] Such as figure 1 As shown, the application provides a quantum computing-based automatic driving control method, the method includes the following steps:

[0045] Step S1, obtaining a vector containing motion information of the object to be controlled, and normalizing the vector containing motion information to an initial quantum state.

[0046] Specifically, step S1 includes the following sub-steps:

[0047] Step S110, collecting motion information of the object to be controlled.

[0048] Specifically, the motion information of the vehicle to be controlled is collected through the classical sensor, and the motion information includes the vehicle position, the vehicle swing angle, the vehicle swing angular velocity, the wheel forward swing angular velocity, and the like.

[0049] Step S120, transforming the motion information mapping into a vector containing the motion information.

[0050] Step S130, normalize the vector containing motion information to obtain an ini...

Embodiment 2

[0140] Such as image 3 As shown, the present application provides a quantum computing-based automatic driving control system 100, including:

[0141] The perceptron 10 is used to obtain a vector containing motion information of the object to be controlled, and normalize the vector containing motion information into an initial quantum state; wherein, the perceptron is a classical perceptron.

[0142] The quantum circuit mapping module 20 is used to map the process of solving the state equation of pre-built motion information changing with time into a quantum circuit;

[0143] A quantum processor 30, configured to execute the quantum circuit to evolve the initial quantum state;

[0144] The quantum final state data acquisition module 40 is used to acquire the quantum final state data after the evolution of the initial quantum state;

[0145] The vehicle controller 50 is used to obtain the motion information of the object to be controlled at the next moment according to the ac...

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Abstract

The present application provides a quantum computing-based automatic driving control method and system, including: obtaining a vector containing motion information of an object to be controlled, normalizing the vector containing motion information into an initial quantum state; The process of the time-varying state equation is mapped into a quantum circuit; the quantum circuit is executed to evolve the initial quantum state; the quantum final state data after the evolution of the initial quantum state is obtained; the next moment of the object to be controlled is obtained according to the acquired quantum final state data According to the motion information of the next moment, the motion state of the object to be controlled is controlled. This application obviously reduces the complexity of calculation, improves the data processing speed, and improves the feedback control speed of automatic driving control, and, in the process of calculating the motion information of the next moment, the characteristics of the vehicle itself and the path tracking deviation value are taken into account, which improves the The accuracy of the vehicle feedback control is improved.

Description

technical field [0001] The present application relates to the technical field of automatic control, in particular to a quantum computing-based automatic driving control method and system. Background technique [0002] Quantum computing has received extensive research and attention since it was proposed in the 1980s. Due to the existence of quantum superposition and quantum entanglement, quantum computing has the advantage of parallelism. Using quantum advantages to design quantum algorithms can accelerate the solution of some classical problems. For example, the Shor algorithm proposed in the mid-to-late 1990s can solve large numbers The problem of prime factorization has an exponential speedup, and Grover's algorithm can have a polynomial speedup in data space search compared to traditional algorithms. [0003] The operation process of a quantum computer is called unitary evolution, and unitary evolution will ensure that every possible state evolves in parallel, which mean...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W30/02B60W50/00B60W60/00G06N10/00
CPCB60W30/02B60W50/0098B60W2050/0002B60W2050/0043B60W60/001G06N10/00
Inventor 魏世杰龙桂鲁
Owner 北京量子信息科学研究院
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