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Inspection method, installation, device and storage medium for vehicle automatic driving algorithm

A technology of automatic driving and inspection method, applied in the direction of instruments, electrical testing/monitoring, control/regulation systems, etc., can solve the problems of high inspection cost and time-consuming, and achieve the effect of reducing inspection cost and inspection time.

Inactive Publication Date: 2018-07-27
赵兴华
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, most of the inspection methods for self-driving cars are based on the inspection method of the whole vehicle level, such as the inspection method for the advanced driver assistant system (Advanced Driver Assistant System, ADAS), which is more inclined to the inspection of hardware. Once the supplier of the hardware changes , even if the performance of the new hardware is exactly the same as or better than the original product, it is still necessary to conduct a comprehensive inspection of the entire vehicle, resulting in high cost and time-consuming inspection

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  • Inspection method, installation, device and storage medium for vehicle automatic driving algorithm
  • Inspection method, installation, device and storage medium for vehicle automatic driving algorithm
  • Inspection method, installation, device and storage medium for vehicle automatic driving algorithm

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Embodiment 1

[0026] figure 1 This is a flowchart of a method for verifying an automatic driving algorithm for a vehicle provided in the first embodiment of the present invention. This embodiment can be applied to a verification scenario of an automatic driving algorithm for controlling the driving of an automatic driving vehicle. The method can be performed by a vehicle automatic driving algorithm verification device. To execute, the device can be built into the self-driving car, or placed in the cloud or server, specifically including the following steps:

[0027] Step 101: Obtain relative physical information of the autonomous vehicle in the driving scene and other reference objects in the driving scene, and determine the target driving state parameters of the autonomous vehicle according to the relative physical information. The target driving state parameters include the target driving direction and the target driving speed, and others The reference object includes at least one of roads, v...

Embodiment 2

[0043] figure 2 This is a flowchart of a method for verifying a vehicle automatic driving algorithm provided in the second embodiment of the present invention. This embodiment defines the steps of constructing a driving scene and obtaining relative physical information, which specifically include the following steps:

[0044] Step 201: Obtain real road condition images.

[0045] Optionally, it can cooperate with the traffic authority to obtain real road condition images taken by the surveillance camera from the traffic authority, where the real road condition image can be at least one image, or it can be a frame by frame image decomposed from video .

[0046] Step 202: Extract feature information of the real reference object from the real road condition image.

[0047] The real road condition image includes an image of a real reference object, and the real reference object includes at least one of roads, vehicles, pedestrians, buildings, and traffic signs. The characteristic informa...

Embodiment 3

[0069] image 3 This is a flowchart of a method for verifying a vehicle automatic driving algorithm provided in the third embodiment of the present invention. This embodiment limits the steps of constructing a driving scene and obtaining relative physical information, which specifically include the following steps:

[0070] Step 301: Obtain real road condition images. This step is the same as step 201, and will not be repeated here.

[0071] Step 302: Collect driving operation parameters of at least one driver when reproducing or responding to the road conditions shown in the real road condition images. The driving operation parameters include steering wheel rotation angle and angular speed, braking time and amplitude, and driving gear.

[0072] Step 303: In a field, control the real-scene vehicle to drive according to the driving operation parameters to form a driving scene, where the real-scene vehicle is used as a reference in the driving scene, and the driving scene also includes...

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Abstract

The embodiment of the invention discloses an inspection method, installation, device and storage medium for vehicle automatic driving algorithm. The method comprises the following steps of: acquiringrelative physical information of the self-driving vehicle and other reference objects in the driving scene, and determining a destination driving state parameter of the self-driving vehicle accordingto the relative physical information, inputting the relative physical information into the automatic driving algorithm to obtain the driving control parameters output by the automatic driving algorithm. The driving control parameters include the direction to be traveled and the speed to be traveled; when the deviation value of the to-be-traveled direction and the destination traveling direction isless than or equal to the direction deviation threshold and the difference between the to-be-traveled speed and the target traveling speed is less than or equal to the speed difference threshold, theautomatic driving algorithm passes the inspection. The method performs an algorithm level test on the automatic driving algorithm, effectively checks whether the automatic driving algorithm is qualified, and reduces the inspection cost.

Description

Technical field [0001] The embodiments of the present invention relate to automatic driving technology, and in particular to a method, device, equipment, and storage medium for checking a vehicle automatic driving algorithm. Background technique [0002] Self-driving cars, also known as driverless cars, computer-driven cars, or wheeled mobile robots, are smart cars that realize driverless driving through a computer system. In order to ensure the safety, stability, and legal compliance of autonomous vehicles, autonomous vehicles need to be inspected. [0003] At present, most of the inspection methods for autonomous vehicles are based on vehicle-level inspection methods. For example, the inspection method for Advanced Driver Assistant System (ADAS) is more inclined to hardware inspection. Once the hardware supplier changes Even if the performance of the new hardware is exactly the same as or better than that of the original product, it is still necessary to carry out an all-round i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0256
Inventor 赵兴华
Owner 赵兴华
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