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Effect evaluation method and device for prediction module, equipment and storage medium

A prediction module and simulation test technology, which is applied in design optimization/simulation, special data processing applications, instruments, etc., can solve the problem of low efficiency of prediction module evaluation, and achieve the effect of improving evaluation efficiency

Pending Publication Date: 2019-04-09
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, when evaluating the effect of the prediction module of the vehicle, it is usually to evaluate the effect of the prediction data of the prediction module before the vehicle leaves the factory, but for the actual driving process of the vehicle, the evaluation of the prediction module is very inefficient

Method used

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  • Effect evaluation method and device for prediction module, equipment and storage medium
  • Effect evaluation method and device for prediction module, equipment and storage medium
  • Effect evaluation method and device for prediction module, equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0022] figure 1 It is a flow chart of the effect evaluation method of the prediction module provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation of performance testing of the prediction module of the automatic driving vehicle that predicts the movement state of obstacles. This method can be implemented by the embodiment of the present invention. The effect evaluation device or equipment of the prediction module provided is implemented, and the device can be implemented in the form of hardware and / or software. Such as figure 1 As shown, it specifically includes the following steps:

[0023] S101, taking the perception data and the vehicle motion state data of the vehicle during actual driving on the road in the target scene as the input of the prediction module, and obtaining the obstacle simulation data predicted by the prediction module.

[0024] Wherein, the vehicle in the embodiment of the present invention may be an automatic...

Embodiment 2

[0038] figure 2 It is a flow chart of a prediction module effect evaluation method provided by Embodiment 2 of the present invention. This method is further optimized on the basis of the above embodiments, and specifically provides an introduction to the specific situation of the pre-determined current scene of the vehicle. Such as figure 2 As shown, the method includes:

[0039] S201. Determine at least one of the number of obstacles, the type of obstacles, and road information according to the perception data of the vehicle during actual driving on the road.

[0040] Wherein, the number of obstacles may refer to the number of obstacles existing within the acquired perception data range, for example, if the perception data is image perception data captured by a camera, the number of obstacles may be the number of obstacles existing in the captured image quantity. The obstacle type can be classified according to the state of the obstacle, such as static type and dynamic t...

Embodiment 3

[0052] image 3It is a schematic structural diagram of a prediction module effect evaluation device provided in Embodiment 3 of the present invention. The device can execute the prediction module effect evaluation method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. Such as image 3 As shown, the device includes:

[0053] The simulation data acquisition module 301 is used to use the perception data and vehicle motion state data of the vehicle in the actual road driving process in the target scene as the input of the prediction module, and obtain the obstacle simulation data predicted by the prediction module;

[0054] The test evaluation module 302 is configured to determine the simulation test evaluation result of the prediction module in the target scene according to the actual obstacle data and the obstacle simulation data during the vehicle's actual driving on the road in the ...

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Abstract

The embodiment of the invention discloses an effect evaluation method and device of a prediction module, equipment and a storage medium. The method comprises the steps: taking perception data and vehicle motion state data of a vehicle in the road actual driving process under a target scene as input of a prediction module, and obtaining obstacle simulation data predicted by the prediction module; And determining a simulation test evaluation result of the prediction module in the target scene according to the obstacle actual data and the obstacle simulation data of the vehicle in the road actualdriving process in the target scene. According to the technical scheme provided by the embodiment of the invention, offline simulation testing is carried out on the prediction module according to data in the actual driving process of different scenes, and the evaluation efficiency of the prediction module is improved.

Description

technical field [0001] Embodiments of the present invention relate to automatic driving technology, and in particular to an effect evaluation method, device, device and storage medium of a prediction module. Background technique [0002] During the road test of autonomous driving vehicles, the prediction module of the vehicle is based on the output results of the vehicle perception algorithm. When the vehicle is driving automatically, it can predict the movement status of pedestrians around the vehicle, surrounding vehicles and other obstacles in real time. The output of the prediction module interacts with the decision planning control module of the vehicle, so that the decision planning control module can generate safe and reliable driving behavior. At present, when evaluating the effect of the prediction module of the vehicle, it is usually to evaluate the effect of the prediction data of the prediction module before the vehicle leaves the factory, but for the actual driv...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20Y02T10/40
Inventor 李祎翔
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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