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Method and device for testing automatic driving model

A technology of automatic driving and testing methods, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as lack of experience in actual environment testing, achieve the effect of reducing debugging sessions, reducing risks and costs, and shortening the development cycle

Inactive Publication Date: 2020-05-01
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Moreover, although computer simulation can reduce time and cost, the test environment is different from the real environment, and there is a lack of test experience in the actual environment

Method used

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  • Method and device for testing automatic driving model
  • Method and device for testing automatic driving model
  • Method and device for testing automatic driving model

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Embodiment Construction

[0040] While the invention may be embodied in various forms, some exemplary and non-limiting embodiments are shown in the drawings and will be described below, it should be understood that the disclosure is to be considered as an example of the invention and not It is intended that the invention be limited to the specific embodiments described.

[0041] figure 1 A schematic block diagram of an embodiment of a testing method for an automatic driving model according to the present invention is shown. in such as figure 1 In the illustrated embodiment, the method at least includes performing the following steps on a cloud-based model training server:

[0042] S1: Add the real data set to the training data, and train the model based on the training data;

[0043] S2: transmitting the trained model to an on-vehicle server located on the vehicle for testing based on the driving data according to the trained model;

[0044] S3: receiving the test result fed back by the vehicle ser...

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Abstract

The invention relates to an automatic driving model testing method and device. The method comprises the steps that a model training server based on a cloud end carries out the following steps: addinga real data set into training data, and carrying out the training of a model based on the training data; transmitting the trained model to a vehicle-mounted server located on the vehicle so as to carry out testing based on driving data according to the trained model; receiving a test result fed back by the vehicle-mounted server; and adding corresponding data into the training data according to atest result, and continuing to train the model based on the training data. According to the embodiment of the invention, the deep learning model is trained, tested and optimized on the model trainingserver. According to the invention, the model optimized by the test is transmitted to the vehicle-mounted server, and the test of the vehicle-mounted server is further carried out, so that the test condition is closer to the actual condition, the hardware can be more accurately inspected and debugged, the on-site debugging session is reduced, the development period is shortened, and the risk and the cost are reduced.

Description

technical field [0001] The invention relates to the technical field of automatic driving. The present invention further relates to a testing method and device for an automatic driving model. Background technique [0002] At present, most of the autonomous driving test platforms are trained on the server based on simulation data and real data, and the models and parameters are optimized and updated according to the evaluation results. However, existing test platforms still have some shortcomings. For example, the test of the model in the test platform is carried out on a single server, but in reality, the model is loaded to the vehicle server or vehicle chip after the cloud server completes the training test, and there is a certain deviation between the two due to the different environments. Moreover, although computer simulation can reduce time and cost, the test environment is different from the real environment, and there is a lack of test experience in the actual enviro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06K9/62G06K9/34
CPCG06V10/26G06F18/214
Inventor 张雨龚湛
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD
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