Automatic driving regulation and control algorithm optimization method and simulation test device

A technology for automatic driving and optimization methods, applied in non-electric variable control, motor vehicles, transportation and packaging, etc., to achieve the effect of improving processing efficiency and ensuring effectiveness

Active Publication Date: 2021-06-18
HUAWEI TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0003] At present, in order to test the function of the automatic driving regulation and control algorithm and to ensure the richness of the scenarios, a large number of test scenarios are used. However, based on a large number of test scenarios, the simulation test of the automatic driving regulation and control algorithm will obtain a large number of simulation results.

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  • Automatic driving regulation and control algorithm optimization method and simulation test device
  • Automatic driving regulation and control algorithm optimization method and simulation test device
  • Automatic driving regulation and control algorithm optimization method and simulation test device

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Embodiment Construction

[0056] Embodiments of the present application are described below in conjunction with the accompanying drawings.

[0057] The relevant terms involved in the present invention are explained here.

[0058] Main vehicle: specifically refers to the real vehicle equipped with the automatic driving algorithm software or the vehicle controlled by the automatic driving control algorithm in the simulation.

[0059] Social car: specifically refers to the surrounding vehicles perceived by the main car during driving.

[0060] Scenario: It specifically refers to at least one main vehicle in a certain automatic driving map, which can include various social vehicles, pedestrians, signal light information, etc. The main vehicle starts from the starting position, accepts the designated destination, and drives through the algorithm ;

[0061] Scene text: used to describe the scene and can be directly used by the specified simulator to construct a runnable dynamic scene. It usually includes ...

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Abstract

The invention relates to the field of automatic driving, and particularly discloses an automatic driving regulation and control algorithm optimization method, which comprises the following steps: constructing M test scenes according to a scene label tree; performing simulation operation on an automatic driving regulation and control algorithm based on the M test scenes to obtain M simulation results; for each test scene in the M test scenes, evaluating simulation results corresponding to the test scenes according to an evaluation algorithm corresponding to the test scenes to obtain M evaluation results; obtaining a mapping scene tag tree according to the M evaluation results and the M test scenes; and determining problem characteristics of the automatic driving regulation and control algorithm according to the mapping scene tag tree, and optimizing the automatic driving regulation and control algorithm according to the problem characteristics. According to the embodiment of the invention, the analysis efficiency of a large number of simulation results is improved, meanwhile, the problem characteristics of the automatic driving regulation and control algorithm are given, and the automatic driving regulation and control algorithm is optimized based on the problem characteristics.

Description

technical field [0001] The invention relates to the field of automatic driving, in particular to an automatic driving regulation algorithm optimization method and a simulation test device. Background technique [0002] In the field of automotive autonomous driving testing technology, for the testing method of autonomous driving regulation and control algorithms, simulation testing technology has the characteristics of high efficiency, repeatability, low cost, and the ability to simulate extreme conditions compared with real road full-automatic driving tests. Test scenarios are the core content of simulation testing, and their sources, conversion methods, and reuse methods determine the richness and effectiveness of the test. [0003] At present, in order to test the function of the automatic driving regulation and control algorithm and to ensure the richness of the scenarios, a large number of test scenarios are used. However, based on a large number of test scenarios, the s...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/0221Y02T10/40
Inventor 陈栋刘武龙钱俊
Owner HUAWEI TECH CO LTD
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