Abnormity processing method, device and equipment for autonomous vehicle and storage medium

A technology for automatic driving and exception handling, which is applied in the fields of electrical digital data processing, generation of response errors, error detection of redundant data in calculations, etc., and can solve problems such as large amount of calculation, environmental sensitivity, and data redundancy

Pending Publication Date: 2021-09-10
BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, the above method has a certain consumption of manpower and resource logic.
In addition, for the driving safety of self-driving vehicles, most of the existing methods focus on the increase of hardware modules, which is equivalent to adding "five senses" to self-driving vehicles, so that self-driving v

Method used

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  • Abnormity processing method, device and equipment for autonomous vehicle and storage medium
  • Abnormity processing method, device and equipment for autonomous vehicle and storage medium
  • Abnormity processing method, device and equipment for autonomous vehicle and storage medium

Examples

Experimental program
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Embodiment 1

[0028] figure 1 It is a flow chart of an exception handling method for an automatic driving vehicle provided by Embodiment 1 of the present invention. This embodiment is applicable to an automatic driving vehicle system, especially for low-speed automatic driving vehicles, such as logistics trolleys used in warehouse scenarios. The method can be executed by an exception handling device of the self-driving vehicle, and the device can be realized by means of software and / or hardware, and integrated into the system of the self-driving vehicle. The method specifically includes the following steps:

[0029] Step 110, acquiring logic data on which the autonomous driving vehicle performs automatic driving.

[0030] Specifically, the logic data is obtained from the automatic driving module configured by the automatic driving vehicle;

[0031] The automatic driving module includes at least one of the following: a positioning module, a planning control module, a perception module and ...

Embodiment 2

[0067] Figure 4 It is a schematic structural diagram of an abnormality handling device for an autonomous vehicle provided in Embodiment 2 of the present invention, and the device specifically includes: an acquisition module 410 , an analysis module 420 and a self-recovery module 430 .

[0068] Wherein, the obtaining module 410 is used to obtain the logical data on which the automatic driving vehicle performs automatic driving; the analyzing module 420 is used to analyze the logical data to determine abnormal logical data in the logical data; the self-recovery module 430. Determine a target self-recovery security policy based on the abnormal attribute of the abnormal logical data, and execute the target self-recovery security policy, so as to restore the abnormal logical data to normal.

[0069] Further, the obtaining module 410 is specifically used for:

[0070] Obtaining the logical data from an automatic driving module configured on the automatic driving vehicle;

[0071]...

Embodiment 3

[0087] Figure 5 It is a schematic structural diagram of a device provided by Embodiment 3 of the present invention. Figure 5 A block diagram of an exemplary device 12 suitable for use in implementing embodiments of the invention is shown. Figure 5 The shown device 12 is only an example and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.

[0088] Such as Figure 5 As shown, device 12 takes the form of a general purpose computing device. Components of device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, bus 18 connecting various system components including system memory 28 and processing unit 16.

[0089] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. These architectures i...

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PUM

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Abstract

The embodiment of the invention discloses an exception handling method and device for an automatic driving vehicle, equipment and a storage medium. The method comprises the following steps: collecting logic data on which the automatic driving vehicle performs automatic driving; analyzing the logic data to determine abnormal logic data in the logic data; and determining a target self-recovery safety policy based on the abnormal attribute of the abnormal logic data, and executing the target self-recovery safety policy to recover the abnormal logic data to normal. Through the technical scheme of the embodiment of the invention, the self-recovery of the abnormal problem of the automatic driving vehicle is realized, the safety of the automatic driving vehicle is improved, and the consumption of human resources is reduced.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of automatic driving, and in particular, to a method, device, device, and storage medium for handling exceptions of an automatic driving vehicle. Background technique [0002] With the rapid development of science and technology, automatic driving technology is becoming more and more mature. [0003] However, in the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] At present, if there is an abnormality or failure in the self-driving vehicle, the driver or safety officer with the vehicle is usually notified directly, and the driver or safety officer intervenes in the driving operation of the vehicle. Obviously, there is a certain consumption of human resource logic in the above method. In addition, for the driving safety of self-driving vehicles, most of the existing methods focus on the increase of...

Claims

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Application Information

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IPC IPC(8): G06F11/14G05B19/048
CPCG06F11/1415G05B19/048
Inventor 李春晓
Owner BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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