CN115484453B - Self-checking method and device for vehicle-mounted image system, vehicle and storage medium - Google Patents
Self-checking method and device for vehicle-mounted image system, vehicle and storage medium Download PDFInfo
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Abstract
The application relates to a self-checking method and device of a vehicle-mounted image system, a vehicle and a storage medium, wherein the method comprises the following steps: when the vehicle-mounted image system operates, collecting the current shooting state of at least one camera at intervals of a preset period; judging whether each camera meets a preset abnormal condition according to the current shooting state of each camera; if any camera meets the preset abnormal condition, the abnormal state of any camera is recorded by local buried points, and the abnormal state of any camera is uploaded to a cloud server of a vehicle factory so as to position the image function problem caused by the camera based on the abnormal state. According to the application, the abnormal state of the camera is recorded in a local buried point according to the current camera shooting state, and the abnormal state of the camera is uploaded to the cloud server of the vehicle factory so as to position the image function problem caused by the camera, thereby improving the processing efficiency of the problem and the safety performance of the vehicle, reducing the after-sales maintenance cost of a research and development team and improving the use experience of users.
Description
Technical Field
The present application relates to the field of vehicle-mounted image systems, and in particular, to a self-checking method and apparatus for a vehicle-mounted image system, a vehicle, and a storage medium.
Background
The vehicle-mounted image system is used as a driving auxiliary function and has higher and higher popularity in modern automobiles, but under the complex working environment of the vehicle-mounted system, a plurality of image system function problems caused by camera problems exist, and the problems cannot be rapidly checked for positioning problem reasons when actual research and development and production links of the automobiles are found. In addition, when the user vehicle on the market has an image problem, after-sales maintenance personnel in a 4S shop cannot quickly confirm the camera problem, and support of vehicle factory research and development personnel is often needed, so that the problem solving time is long, the problem processing efficiency is low, the after-sales maintenance cost of a vehicle factory research and development team is increased, customer complaint is increased, and the brand image is greatly influenced.
At present, whether the correlation technique can work at normal state through self-checking module real-time supervision camera, when taking place to fall the electricity or the camera damages, the user is reminded to the very first time, and the camera still carries out audible and visual warning simultaneously, can report to the police to special circumstances, reminds maintainer in time to maintain, also can give the certain frightening of destructor. In addition, the related technology can be applied to fixed scenes of daily high frequency occurrence of intelligent vehicles, the use opportunity is stable, self-checking and self-calibration of each sensor can be completed in a unified system aiming at a plurality of sensors, and the safety and the efficiency are improved.
However, the related art does not meet the requirement of the vehicle-mounted image system for monitoring the camera status, and is not specially designed for the requirement of the vehicle-mounted image system for monitoring the camera status, so that the problem of rapidly positioning the image function caused by the camera according to the camera status monitoring self-test is difficult to solve.
Disclosure of Invention
The application provides a self-checking method and device of a vehicle-mounted image system, a vehicle and a storage medium, and aims to solve the technical problems of quick positioning of image functions caused by cameras according to camera state monitoring self-checking.
An embodiment of a first aspect of the present application provides a self-checking method for a vehicle-mounted image system, including the following steps: when the vehicle-mounted image system operates, collecting the current shooting state of at least one camera at intervals of a preset period; judging whether each camera meets a preset abnormal condition according to the current shooting state of each camera; and if any camera meets the preset abnormal condition, uploading the abnormal state of any camera to a cloud server of a vehicle factory while carrying out local buried point recording on the abnormal state of any camera so as to position the image function problem caused by the camera based on the abnormal state.
According to the technical means, the embodiment of the application performs local buried point recording on the abnormal state of the camera according to the current camera shooting state, and uploads the abnormal state of the camera to the cloud server of the vehicle factory so as to position the image function problem caused by the camera, thereby improving the processing efficiency of the problem and the safety performance of the vehicle, reducing the after-sales maintenance cost of a research and development team and improving the use experience of users.
Optionally, in one embodiment of the present application, the current camera state includes at least one of a current camera state, an actual camera image frame rate, and an actual video function image processing frame rate.
According to the technical means, the embodiment of the application provides reliable data basis for the follow-up self-checking of the vehicle-mounted image system by considering the state information of the cameras in multiple aspects, and the self-checking effect is effectively ensured.
Optionally, in one embodiment of the present application, further includes: receiving a camera local self-checking instruction sent by a user side; and controlling the vehicle-mounted image system to enter a first self-checking mode according to the camera local self-checking instruction, and displaying the current shooting state of the one or more cameras on the vehicle screen, or uploading the current shooting state and/or the abnormal state of any camera to the vehicle-factory cloud server.
According to the technical means, the vehicle-mounted image system is controlled to carry out self-inspection through the camera local self-inspection instruction, and the abnormal state of the vehicle-mounted image system is uploaded to the cloud server of the vehicle factory, so that the efficiency of positioning and solving the problem of image functions caused by the camera is improved, the problem processing time is shortened, and the safety and reliability of the vehicle are effectively improved.
Optionally, in an embodiment of the present application, a remote self-checking instruction of the camera sent by the cloud server of the vehicle factory is received; and controlling the vehicle-mounted image system to enter a second self-checking mode according to the remote self-checking instruction of the camera, and uploading the current shooting state and/or the abnormal state of any camera to the cloud server of the vehicle factory.
According to the technical means, the embodiment of the application controls the remote self-checking of the vehicle-mounted image system according to the remote self-checking instruction of the camera, and uploads the abnormal state of the remote self-checking instruction to the cloud server of the vehicle factory, so that after-sales maintenance cost of a research and development team is reduced while the cause of the camera problem is rapidly judged, safety performance and reliability of vehicles are improved, and use experience of users is improved.
Optionally, in an embodiment of the present application, the locally burying point recording the abnormal state of any one of the cameras includes: recording the abnormal time and abnormal information of the abnormal state of any camera.
According to the technical means, the embodiment of the application can not only rapidly judge the problem cause, reduce the problem processing time, but also improve the problem processing efficiency by carrying out local buried point recording on the abnormal state of the camera, so that the vehicle is more humanized and intelligent.
An embodiment of a second aspect of the present application provides a self-checking device of an on-vehicle image system, including: the acquisition module is used for acquiring the current shooting state of at least one camera at intervals of a preset period when the vehicle-mounted image system is running; the judging module is used for judging whether each camera meets a preset abnormal condition according to the current camera shooting state of each camera; and the positioning module is used for uploading the abnormal state of any camera to a cloud server of a vehicle factory when the abnormal state of any camera is recorded by local buried points if any camera meets the preset abnormal condition, so as to position the image function problem caused by the camera based on the abnormal state.
Optionally, in one embodiment of the present application, the current camera state includes at least one of a current camera state, an actual camera image frame rate, and an actual video function image processing frame rate.
Optionally, in one embodiment of the present application, further includes: the first receiving module is used for receiving a camera local self-checking instruction sent by the user side; the first control module is used for controlling the vehicle-mounted image system to enter a first self-checking mode according to the camera local self-checking instruction, and displaying the current shooting state of the one or more cameras on the vehicle screen or uploading the current shooting state and/or the abnormal state of any camera to the vehicle-factory cloud server.
Optionally, in an embodiment of the present application, a second receiving module is configured to receive a camera remote self-checking instruction sent by the cloud server of the vehicle factory; and the second control module is used for controlling the vehicle-mounted image system to enter a second self-checking mode according to the remote self-checking instruction of the camera, and uploading the current shooting state and/or the abnormal state of any camera to the vehicle factory cloud server.
Optionally, in one embodiment of the present application, the positioning module includes: and the recording unit is used for recording the abnormal time and the abnormal information of the abnormal state of any camera.
An embodiment of a third aspect of the present application provides a vehicle including: the system comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the self-checking method of the vehicle-mounted image system.
An embodiment of the fourth aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the self-checking method of the vehicle-mounted imaging system as above.
Thus, embodiments of the present application have the following beneficial effects:
(1) According to the embodiment of the application, the abnormal state of the camera is locally buried and recorded according to the current camera shooting state, and the abnormal state of the camera is uploaded to the cloud server of the vehicle factory so as to position the image function problem caused by the camera, thereby improving the processing efficiency of the problem and the safety performance of the vehicle, reducing the after-sales maintenance cost of a research and development team and improving the use experience of users.
(2) According to the embodiment of the application, by considering the state information of the cameras in various aspects, a reliable data basis is provided for the follow-up self-checking of the vehicle-mounted image system, and the self-checking effect is effectively ensured.
(3) According to the embodiment of the application, the vehicle-mounted image system is controlled to carry out self-inspection through the local self-inspection instruction of the camera, and the abnormal state of the vehicle-mounted image system is uploaded to the cloud server of the vehicle factory, so that the efficiency of positioning and solving the problem of image functions caused by the camera is improved, the problem processing time is shortened, and the safety and reliability of the vehicle are effectively improved.
(4) According to the embodiment of the application, the remote self-checking of the vehicle-mounted image system is controlled according to the remote self-checking instruction of the camera, and the abnormal state of the vehicle-mounted image system is uploaded to the cloud server of the vehicle factory, so that the after-sales maintenance cost of a research and development team is reduced while the cause of the camera problem is rapidly judged, the safety performance and the reliability of the vehicle are improved, and the use experience of a user is improved.
(5) According to the embodiment of the application, the abnormal state of the camera is recorded by the local buried point, so that the problem cause can be rapidly judged, the problem processing time is shortened, the problem processing efficiency is improved, and the vehicle is more humanized and intelligent.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a self-checking method of a vehicle-mounted image system according to an embodiment of the present application;
FIG. 2 is a block diagram of a camera status monitoring self-test software for an image application system according to one embodiment of the present application;
FIG. 3 is a flow chart of active monitoring of camera status according to one embodiment of the present application;
FIG. 4 is a flow chart of a local self-test provided in accordance with one embodiment of the present application;
FIG. 5 is a schematic diagram of a self-checking method of an on-vehicle imaging system according to an embodiment of the present application;
FIG. 6 is a remote self-test flow chart provided in accordance with one embodiment of the present application;
Fig. 7 is an exemplary diagram of a self-checking device of an in-vehicle imaging system according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
The system comprises a self-checking device of a 10-vehicle-mounted image system, a 100-acquisition module, a 200-judging module, a 300-positioning module, a 801-memory, an 802-processor and 803-communication interface.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present application and should not be construed as limiting the application.
The self-checking method, device, vehicle and storage medium of the vehicle-mounted image system according to the embodiments of the present application are described below with reference to the accompanying drawings. In view of the above-mentioned problems in the background art, the present application provides a self-checking method of a vehicle-mounted image system, in which, when the vehicle-mounted image system is running, the current shooting state of at least one camera is collected at intervals of a preset period; judging whether each camera meets a preset abnormal condition according to the current shooting state of each camera; if any camera meets the preset abnormal condition, the abnormal state of any camera is recorded by local buried points, and the abnormal state of any camera is uploaded to a cloud server of a vehicle factory so as to position the image function problem caused by the camera based on the abnormal state. According to the application, the abnormal state of the camera is recorded by local burial points according to the current camera shooting state, and the abnormal state of the camera is uploaded to the cloud server of the vehicle factory so as to position the image function problem caused by the camera, thereby reducing the problem processing time and complaints of after-sales personnel and customers of the 4S shop, improving the problem processing efficiency and reducing the after-sales maintenance cost of a research and development team. Therefore, the technical problems of quick positioning of the image function problem caused by the camera according to the camera state monitoring self-detection are solved.
Specifically, fig. 1 is a flowchart of a self-checking method of a vehicle-mounted image system according to an embodiment of the present application.
As shown in fig. 1, the self-checking method of the vehicle-mounted image system includes the following steps:
In step S101, when the vehicle-mounted image system is running, the current imaging state of at least one camera is acquired at intervals of a preset period.
According to the embodiment of the application, when a user starts the vehicle-mounted image system, the camera equipment and the video stream application function such as panoramic images, a vehicle recorder and lane departure early warning are started, the system can acquire the current shooting state of the vehicle-mounted camera every fixed period such as 1min, so that reliable data support is provided for follow-up self-inspection of the vehicle-mounted image system.
Optionally, in one embodiment of the present application, the current camera state includes at least one of a current camera state, an actual camera image frame rate, and an actual video function image processing frame rate.
Specifically, the embodiment of the application can acquire the state of the camera equipment by periodically calling the camera driving interface so as to detect the state of the camera equipment; the camera image frame rate detection can also be performed by counting the driving camera image frame rate in real time, wherein the driving camera image frame rate is equal to the number of camera image frames received from the driving in 1 second of the camera data management module.
In addition, the embodiment of the application can also realize the detection of the frame rate of the data processing of the camera by carrying out real-time statistics on the frame rate of the processed image of each image function, wherein the frame rate of the data processing of the application is equal to the frame number of the processed camera image within 1 second, as shown in fig. 2.
Therefore, the embodiment of the application provides reliable data basis for the follow-up self-checking of the vehicle-mounted image system by considering the state information of the cameras in various aspects, and powerfully ensures the self-checking effect.
In step S102, it is determined whether each camera satisfies a preset abnormal condition according to the current imaging state of each camera.
After the current camera shooting state information of the cameras is acquired, the embodiment of the application can also judge whether each camera is abnormal according to the current camera shooting state of the cameras, for example, when the camera is powered down or the acquired picture of the camera is detected to have obvious abnormal conditions such as too bright or too dark, the vehicle-mounted camera can be judged to have the abnormal conditions, so that the vehicle-mounted system can timely and accurately detect the state of the camera, the image function problem caused by the camera can be rapidly positioned, and the problem processing time is reduced.
In step S103, if any one of the cameras satisfies a preset abnormal condition, the abnormal state of any one of the cameras is locally buried and recorded, and the abnormal state of any one of the cameras is uploaded to the cloud server of the vehicle factory, so as to locate the image function problem caused by the camera based on the abnormal state.
When detecting that the state of the camera is abnormal, the embodiment of the application can record the buried point of the vehicle-mounted camera with the abnormality, as shown in fig. 3. Meanwhile, the abnormal state of the camera is reported to the cloud server through the monitoring self-checking application, so that the problem of image functions caused by the camera is rapidly located, the problem processing time is shortened, the after-sales maintenance cost of a research and development team is reduced, and complaints of after-sales personnel and customers in a 4S store are reduced.
Optionally, in an embodiment of the present application, performing local embedded point recording on an abnormal state of any one of the cameras includes: recording the abnormal time and abnormal information of the abnormal state of any camera.
When detecting that the camera state is abnormal, the embodiment of the application can record the abnormal time and abnormal information of the abnormal camera, such as a reversing camera, through the image application function. Therefore, the embodiment of the application can not only rapidly judge the cause of the problem by carrying out local buried point record on the abnormal state of the camera, reduce the problem processing time, but also improve the problem processing efficiency, so that the vehicle is more humanized and intelligent.
Optionally, in one embodiment of the present application, further includes: receiving a camera local self-checking instruction sent by a user side; and controlling the vehicle-mounted image system to enter a first self-checking mode according to the local self-checking instruction of the cameras, and displaying the current shooting state of one or more cameras on a vehicle screen or uploading the current shooting state and/or the abnormal state of any camera to a vehicle factory cloud server.
Specifically, the local self-checking flow is shown in fig. 4. Firstly, the embodiment of the application can enable a user to open a monitoring self-checking application interface in a mode of voice instructions or manual input instructions and the like, trigger a self-checking function on the monitoring self-checking application interface, enable the monitoring self-checking application to send a camera local self-checking instruction to an image application system, enable the image application system to execute camera state self-checking, display a self-checking result on a vehicle screen, and simultaneously send an abnormal state of a current camera to a vehicle factory cloud server, as shown in fig. 5, so that the vehicle-mounted image system is controlled to carry out self-checking through the camera local self-checking instruction, and the abnormal state is uploaded to the vehicle factory cloud server, thereby improving the efficiency of positioning and solving the problem of image functions caused by the camera, reducing the problem processing time, and effectively improving the safety and reliability of vehicles.
Optionally, in an embodiment of the present application, a remote self-checking instruction of the camera sent by the cloud server of the vehicle factory is received; and controlling the vehicle-mounted image system to enter a second self-checking mode according to the remote self-checking instruction of the camera, and uploading the current shooting state and/or the abnormal state of any camera to the cloud server of the vehicle factory.
Specifically, as shown in fig. 6, the remote self-checking flow is shown in fig. 6, firstly, the embodiment of the application can send a remote self-checking instruction to the vehicle monitoring self-checking application system through the cloud server, the monitoring self-checking application system sends a camera remote self-checking instruction to the vehicle-mounted image application system, the image application system executes camera state self-checking, a self-checking result is displayed on the vehicle, and meanwhile, the abnormal state of the current camera is sent to the cloud server of the vehicle factory. Therefore, the embodiment of the application controls the progressive remote self-checking of the vehicle-mounted image system according to the remote self-checking instruction of the camera and uploads the abnormal state of the remote self-checking instruction to the cloud server of the vehicle factory, so that the problem processing efficiency is improved while the cause of the camera problem is rapidly judged, the after-sales maintenance cost of a research and development team is reduced, the safety performance and the reliability of the vehicle are improved, and the use experience of a user is improved.
According to the self-checking method of the vehicle-mounted image system, when the vehicle-mounted image system operates, the current shooting state of at least one camera is acquired every preset period; judging whether each camera meets a preset abnormal condition according to the current shooting state of each camera; if any camera meets the preset abnormal condition, the abnormal state of any camera is recorded by local buried points, and the abnormal state of any camera is uploaded to a cloud server of a vehicle factory so as to position the image function problem caused by the camera based on the abnormal state. According to the application, the abnormal state of the camera is recorded by the local buried point according to the current camera shooting state, and the abnormal state of the camera is uploaded to the cloud server of the vehicle factory so as to position the image function problem caused by the camera, thereby reducing the problem processing time, improving the problem processing efficiency, reducing the after-sale maintenance cost of a research and development team and improving the use experience of users.
Next, a self-checking device of the vehicle-mounted image system according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 7 is a block diagram of a self-checking device of an in-vehicle imaging system according to an embodiment of the application.
As shown in fig. 7, the self-inspection device 10 of the vehicle-mounted imaging system includes: the device comprises an acquisition module 100, a judging module 200 and a positioning module 300.
The acquisition module 100 is configured to acquire a current camera status of at least one camera at intervals of a preset period when the vehicle-mounted image system is running.
The judging module 200 is configured to judge whether each camera satisfies a preset abnormal condition according to the current imaging state of each camera.
And the positioning module 300 is configured to upload the abnormal state of any one of the cameras to the cloud server of the vehicle factory while performing local embedded point recording on the abnormal state of any one of the cameras if any one of the cameras meets a preset abnormal condition, so as to position the image function problem caused by the camera based on the abnormal state.
Optionally, in one embodiment of the present application, the current camera state includes at least one of a current camera state, an actual camera image frame rate, and an actual video function image processing frame rate.
Optionally, in an embodiment of the present application, the self-checking device 10 of the vehicle-mounted imaging system of the embodiment of the present application further includes: the device comprises a first receiving module and a first control module.
The first receiving module is used for receiving a camera local self-checking instruction sent by the user side.
The first control module is used for controlling the vehicle-mounted image system to enter a first self-checking mode according to the local self-checking instruction of the cameras, displaying the current shooting state of one or more cameras on a vehicle screen, or uploading the current shooting state and/or the abnormal state of any camera to the vehicle factory cloud server.
Optionally, in an embodiment of the present application, the self-checking device 10 of the vehicle-mounted imaging system of the embodiment of the present application further includes: a second receiving module and a second control module.
The second receiving module is used for receiving a camera remote self-checking instruction sent by the cloud server of the vehicle factory.
And the second control module is used for controlling the vehicle-mounted image system to enter a second self-checking mode according to the remote self-checking instruction of the camera, and uploading the current shooting state and/or the abnormal state of any camera to the cloud server of the vehicle factory.
Optionally, in one embodiment of the present application, the positioning module 300 includes: and the recording unit is used for recording the abnormal time and the abnormal information of the abnormal state of any camera.
It should be noted that the foregoing explanation of the embodiment of the self-checking method of the vehicle-mounted image system is also applicable to the self-checking device of the vehicle-mounted image system of the embodiment, and will not be repeated here.
According to the self-checking device of the vehicle-mounted image system, when the vehicle-mounted image system operates, the current shooting state of at least one camera is acquired every preset period; judging whether each camera meets a preset abnormal condition according to the current shooting state of each camera; if any camera meets the preset abnormal condition, the abnormal state of any camera is recorded by local buried points, and the abnormal state of any camera is uploaded to a cloud server of a vehicle factory so as to position the image function problem caused by the camera based on the abnormal state. According to the application, the abnormal state of the camera is recorded by the local buried point according to the current camera shooting state, and the abnormal state of the camera is uploaded to the cloud server of the vehicle factory so as to position the image function problem caused by the camera, thereby reducing the problem processing time, improving the problem processing efficiency, reducing the after-sale maintenance cost of a research and development team and improving the use experience of users.
Fig. 8 is a schematic structural diagram of a vehicle according to an embodiment of the present application. The vehicle may include:
A memory 801, a processor 802, and a computer program stored on the memory 801 and executable on the processor 802.
The processor 802 implements the self-checking method of the vehicle-mounted image system provided in the above embodiment when executing the program.
Further, the vehicle further includes:
A communication interface 803 for communication between the memory 801 and the processor 802.
A memory 801 for storing a computer program executable on the processor 802.
The memory 801 may include high-speed RAM memory or may further include non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.
If the memory 801, the processor 802, and the communication interface 803 are implemented independently, the communication interface 803, the memory 801, and the processor 802 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (PERIPHERAL COMPONENT, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 8, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 801, the processor 802, and the communication interface 803 are integrated on a chip, the memory 801, the processor 802, and the communication interface 803 may communicate with each other through internal interfaces.
The processor 802 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an Application SPECIFIC INTEGRATED Circuit, abbreviated as ASIC, or one or more integrated circuits configured to implement embodiments of the present application.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the self-checking method of the vehicle-mounted imaging system as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, "N" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or N wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (8)
1. The self-checking method of the vehicle-mounted image system is characterized by comprising the following steps of:
When the vehicle-mounted image system operates, collecting the current shooting state of at least one camera at intervals of a preset period;
Judging whether each camera meets a preset abnormal condition according to the current camera shooting state of each camera, wherein the current camera shooting state comprises an actual image function image processing frame rate; the frame rate of each image function processing image is counted in real time, so that the detection of the actual image function image processing frame rate is realized;
If any camera meets the preset abnormal condition, uploading the abnormal state of any camera to a cloud server of a vehicle factory while carrying out local embedded point recording on the abnormal state of any camera so as to position the image function problem caused by the camera based on the abnormal state.
2. The method as recited in claim 1, further comprising:
receiving a camera local self-checking instruction sent by a user side;
And controlling the vehicle-mounted image system to enter a first self-checking mode according to the camera local self-checking instruction, and displaying the current shooting state of the one or more cameras on a vehicle screen, or uploading the current shooting state and/or the abnormal state of any camera to the vehicle factory cloud server.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
Receiving a camera remote self-checking instruction sent by the cloud server of the vehicle factory;
and controlling the vehicle-mounted image system to enter a second self-checking mode according to the remote self-checking instruction of the camera, and uploading the current shooting state and/or the abnormal state of any camera to the cloud server of the vehicle factory.
4. The method of claim 1, wherein the locally burying the abnormal state of any one of the cameras comprises:
Recording the abnormal time and abnormal information of the abnormal state of any camera.
5. A self-checking device of a vehicle-mounted image system, comprising:
The acquisition module is used for acquiring the current shooting state of at least one camera at intervals of a preset period when the vehicle-mounted image system is running;
The judging module is used for judging whether each camera meets a preset abnormal condition according to the current camera shooting state of each camera, wherein the current camera shooting state comprises an actual image function image processing frame rate; wherein,
The frame rate of each image function processing image is counted in real time, so that the detection of the actual image function image processing frame rate is realized;
And the positioning module is used for uploading the abnormal state of any camera to the cloud server of the vehicle factory when the abnormal state of any camera is subjected to local embedded point recording if any camera meets the preset abnormal condition, so that the image function problem caused by the camera is positioned based on the abnormal state.
6. The apparatus of claim 5, wherein the positioning module comprises:
and the recording unit is used for recording the abnormal time and the abnormal information of the abnormal state of any camera.
7. A vehicle, characterized by comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the self-test method of the vehicle-mounted imaging system of any one of claims 1-4.
8. A computer-readable storage medium having stored thereon a computer program, wherein the program is executed by a processor for implementing a self-test method of an in-vehicle imaging system according to any one of claims 1 to 4.
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