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
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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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