CN115037997A - Calibration result detection method, device, equipment and storage medium - Google Patents
Calibration result detection method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a calibration result detection method, a calibration result detection device, calibration result detection equipment and a storage medium. Acquiring a calibration result detection request aiming at a target vehicle sensor, wherein the calibration result detection request comprises a calibration result aiming at the target vehicle sensor; calling a calibration threshold value of a target vehicle sensor from a database; and when the calibration result is determined to accord with the calibration threshold value, generating calibration success information, and transmitting the calibration success information to the target vehicle so that the target vehicle writes the calibration result into the target vehicle sensor according to the calibration success information. When the cloud server acquires a calibration result detection request for a target vehicle sensor, the calibration result contained in the request is compared with the calibration threshold value in the database to detect the accuracy of the sensor calibration result, and the sensor calibration result is written in under the condition that the calibration result is accurate, so that the driving safety of the vehicle is improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a calibration result detection method, apparatus, device, and storage medium.
Background
The perception sensor of the autonomous vehicle plays an important role in the safe driving of the vehicle, so the vehicle sensor is usually required to be calibrated in the production or use process of the vehicle so as to ensure the safety of the autonomous vehicle.
At present, the driving of an automatic driving vehicle is basically calibrated on site, a factory realizes a calibration process by workers on a production line, and an automobile after-sales maintenance point realizes the calibration of a sensor by using a relevant calibration tool and a diagnostic instrument by after-sales workers.
Because the calibration is operated by a calibration person, the calibration has certain subjectivity, so that the calibration result of the vehicle sensor is not accurate, and hidden danger is brought to the safety of vehicle driving.
Disclosure of Invention
The invention provides a calibration result detection method, a calibration result detection device, calibration result detection equipment and a storage medium, so that accurate writing of a vehicle sensor is realized.
According to an aspect of the present invention, there is provided a calibration result detection method, including: acquiring a calibration result detection request aiming at a target vehicle sensor, wherein the calibration result detection request comprises a calibration result aiming at the target vehicle sensor;
calling a calibration threshold value of the target vehicle sensor from a database;
and when the calibration result is determined to meet the calibration threshold value, generating calibration success information, and transmitting the calibration success information to a target vehicle, so that the target vehicle writes the calibration result into the target vehicle sensor according to the calibration success information.
According to another aspect of the present invention, there is provided a calibration result detecting apparatus including: a calibration result detection request obtaining module, configured to obtain a calibration result detection request for a target vehicle sensor, where the calibration result detection request includes a calibration result for the target vehicle sensor;
the calibration threshold value calling module is used for calling the calibration threshold value of the target vehicle sensor from a database;
and the calibration result writing module is used for generating calibration success information when the calibration result is determined to accord with the calibration threshold value, and transmitting the calibration success information to a target vehicle so that the target vehicle writes the calibration result into the target vehicle sensor according to the calibration success information.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method according to any of the embodiments of the invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium having stored thereon computer instructions for causing a processor to execute a method according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, when the cloud server acquires the calibration result detection request aiming at the target vehicle sensor, the calibration result contained in the request is compared with the calibration threshold in the database so as to detect the accuracy of the calibration result of the sensor, and the calibration result of the sensor is written under the condition of ensuring the accuracy of the calibration result, so that the safety of vehicle driving is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a calibration result detection method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an application scenario provided in accordance with an embodiment of the present invention;
FIG. 3 is a flowchart of a calibration result detection method according to a second embodiment of the present invention;
fig. 4 is a flowchart of a calibration result detection method according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a calibration result detection apparatus according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a calibration result detection method according to an embodiment of the present invention, which is applicable to a case of detecting a calibration result of a vehicle sensor, and which can be executed by the calibration result detection apparatus according to an embodiment of the present invention. As shown in fig. 1, the method includes:
step S101, a calibration result detection request for a target vehicle sensor is obtained.
As shown in fig. 2, the application scenario diagram in this embodiment is an application scenario diagram, in this embodiment, the interaction among the vehicle, the cloud server, and the database is mainly involved, and the vehicle side mainly includes a sensor to be calibrated, a controller, and a T-Box, i.e., a telematics processor, and the communication interaction between the vehicle and the cloud server can be realized through the T-Box; the cloud server side mainly comprises a verification unit for verifying the identity of the vehicle, a calibration unit for calibrating the vehicle sensor, a detection unit for detecting a calibration result, a database for storing vehicle related information and vehicle calibration result information and the like.
Specifically, the calibration result detection request in this embodiment includes the calibration result for the target vehicle sensor, and the calibration result may be generated by the vehicle side by performing sensor calibration, or may be generated by the cloud server itself by performing sensor calibration.
Optionally, the obtaining a calibration result detection request for a target vehicle sensor includes: a verification unit in the cloud server receives an identity verification request sent by a target vehicle controller through a remote information processor, and vehicle identity verification is carried out according to the identity verification request, wherein the identity verification request comprises a target vehicle identifier and a target vehicle sensor identifier; when the verification unit determines that the identity verification passes, an identity verification passing response is fed back to the target vehicle controller through the remote information processor; and acquiring a calibration result detection request which is sent by the target vehicle controller based on an identity verification pass response and aims at the target vehicle sensor, wherein the calibration result detection request comprises a calibration result of the target vehicle controller aiming at the target vehicle sensor.
Optionally, the obtaining a calibration result detection request for a target vehicle sensor includes: when the calibration trigger message is determined to be received, a verification unit in the cloud server verifies the identity of the vehicle according to the calibration trigger message, wherein the calibration trigger message comprises a target vehicle identifier and a target vehicle sensor identifier; when the verification unit determines that the identity verification passes, an identity verification passing message is sent to a calibration unit in the cloud server; the calibration unit is used for calling calibration data from a database according to the target vehicle identification and the target vehicle sensor identification based on the identity verification passing message, wherein the calibration data comprises target vehicle parameters, target vehicle sensor parameters and a target vehicle sensor calibration mode; the calibration unit calibrates the target vehicle sensor according to the calibration data and the interaction data acquired by communicating with the target vehicle to generate a calibration result detection request, wherein the calibration result detection request comprises a calibration result of the calibration unit in the cloud server for the target vehicle sensor.
Step S102, a calibration threshold value of the target vehicle sensor is called from a database.
Optionally, the step of retrieving the calibration threshold of the target vehicle sensor from the database includes: sending the calibration result detection request to a detection unit of the cloud server; and calling the calibration threshold value of the target vehicle sensor from the database through the detection unit according to the target vehicle identifier and the target vehicle sensor identifier.
The cloud server already acquires the target vehicle identification and the target vehicle sensor identification, and when the calibration result is detected, the detection is specifically performed through a detection unit of the cloud server. The detection unit in this embodiment will schedule the calibration threshold of the target vehicle sensor from the database according to the target vehicle identifier and the target vehicle sensor identifier.
And step S103, when the calibration result is determined to accord with the calibration threshold value, generating calibration success information, and transmitting the calibration success information to the target vehicle, so that the target vehicle writes the calibration result into the target vehicle sensor according to the calibration success information.
When the detection unit of the cloud server determines that the calibration result meets the calibration threshold value, calibration success information can be generated, the cloud server can send the calibration success information to the controller through the T-Box, the controller can control the calibration result to be written into the sensor when determining that the calibration success information is received, and when the writing is completed, the writing completion information is transmitted to the entertainment host, such as an automobile display screen, so that the writing completion information is displayed on the entertainment host, and a user can be prompted in time under the condition of successful calibration.
Optionally, the method further comprises: when the calibration result is determined to be not in accordance with the calibration threshold value, generating calibration failure information, wherein the calibration result failure information comprises a calibration failure result and a calibration failure reason; and transmitting the calibration failure information to the entertainment host through the remote information processor so that the entertainment host displays the calibration failure information.
It should be noted that, when it is determined that the calibration result does not meet the calibration threshold, a calibration failure result is obtained, and the detection module performs analysis according to the uploaded calibration parameters and the big data in the database under the condition of determination failure, so as to obtain the reason for the calibration failure, thereby generating calibration failure information, where the calibration failure information includes: and the calibration failure result and the calibration failure reason are directly transmitted to the entertainment host through the T-Box, so that the calibration failure information is displayed on the entertainment host, and a user can be prompted in time under the condition of calibration failure.
It should be noted that, in this embodiment, regardless of successful calibration or failed calibration, the database collects data of successful calibration and failed calibration of the vehicle through the cloud server, and adds the data into the big data, and the database performs big data analysis according to the acquired information, thereby optimizing the calibration process of the subsequent vehicle or the cloud server.
According to the embodiment of the invention, when the cloud server acquires the calibration result detection request for the target vehicle sensor, the accuracy of the sensor calibration result is detected by comparing the calibration result contained in the request with the calibration threshold value in the database, and the sensor calibration result is written in under the condition that the calibration result is accurate, so that the safety of vehicle driving is improved.
Example two
Fig. 3 is a flowchart of a calibration result detection method according to an embodiment of the present invention, and this embodiment specifically describes that, when a calibration execution subject is a vehicle, a calibration result detection request for a target vehicle sensor is obtained in the foregoing embodiment. As shown in fig. 3, the method includes:
step S201, a verification unit in the cloud server receives an identity verification request sent by a target vehicle controller through a remote information processor, and vehicle identity verification is carried out according to the identity verification request.
Specifically, when the designated subject for calibrating the vehicle sensor is the vehicle Controller, after the Controller completes calibration and obtains a calibration result, the Controller sends an identity verification request including a target vehicle identifier and a target vehicle sensor identifier to the T-Box through a vehicle Network, for example, a Controller Area Network (CAN) or an ethernet Network, the T-Box receives the request sent by the Controller and then sends a positive feedback to the Controller to notify the Controller that the request has been received, the T-Box establishes communication with the cloud and transmits the identity verification request to the verification unit, and the verification unit verifies the vehicle identity according to the identity verification request to determine whether the target vehicle is a registered legal user.
And S202, when the verification unit determines that the identity verification is passed, feeding back an identity verification passing response to the target vehicle controller through the remote information processor.
When the target vehicle is determined to be the registered legal user, the identity verification is determined to be passed, at the moment, the verification unit can feed back to the controller through the T-Box so as to inform the vehicle controller that the target vehicle is the registered legal vehicle, and the related operation of the subsequent target vehicle can be carried out.
And step S203, acquiring a calibration result detection request which is sent by the target vehicle controller based on the identity verification pass response and aims at the target vehicle sensor.
Specifically, after receiving the authentication that the target vehicle is a legal vehicle according to the response, the target vehicle controller sends a calibration result detection request to the cloud server, wherein the calibration result detection request includes a calibration result of the target vehicle controller for the target vehicle sensor.
In the embodiment, when the cloud server acquires the calibration result detection request for the target vehicle sensor, the calibration result contained in the request is compared with the calibration threshold in the database to detect the accuracy of the calibration result of the sensor, and the calibration result of the sensor is written in under the condition of ensuring the accuracy of the calibration result, so that the driving safety of the vehicle is improved. And the calibration result detection request is specifically sent to the cloud server by the target vehicle, so that the diversity of the acquisition modes of the calibration result detection request is reflected.
EXAMPLE III
Fig. 4 is a flowchart of a calibration result detection method according to an embodiment of the present invention, which specifically illustrates that, in the foregoing embodiment, when a calibration execution subject is a cloud server, a calibration result detection request for a target vehicle sensor is obtained. As shown in fig. 4, the method includes:
step S301, when the calibration trigger message is determined to be received, the verification unit in the cloud server performs vehicle identity verification according to the calibration trigger message.
Optionally, when it is determined that the calibration trigger message is received, the verification unit in the cloud server performs vehicle identity verification according to the calibration trigger message, including: when the target vehicle reaches a designated position, acquiring a target vehicle in-place signal sent by an equipment server; and the verification unit in the cloud server performs vehicle identity verification according to the target vehicle in-place signal.
Optionally, when it is determined that the calibration trigger message is received, the verification unit in the cloud server performs vehicle identity verification according to the calibration trigger message, including: when the preset calibration time of a target vehicle sensor is reached, acquiring a dynamic calibration request sent by a target vehicle controller; and the verification unit in the cloud server performs vehicle identity verification according to the dynamic calibration request.
In this embodiment, the execution main body for performing calibration may also be a cloud server, and when it is determined that the calibration trigger message is received, the verification unit in the cloud server performs identity verification according to the calibration trigger message, where the calibration trigger message includes a target vehicle identifier and a target vehicle sensor identifier. And the calibration trigger message in this embodiment includes a target vehicle in-place signal or a dynamic calibration request.
In a specific implementation, the trigger message in this embodiment may be a target vehicle in-place signal, when the target vehicle is maintained in a production line or a 4S store, the target vehicle may be calibrated by the cloud server, when the target vehicle reaches a specified location, for example, a specified maintenance point, the device server may send the target vehicle in-place signal to the cloud server, the cloud server may request to communicate with the vehicle T-Box according to the target vehicle in-place signal, and the verification unit in the cloud server may perform identity verification according to the target vehicle in-place signal.
In another specific implementation, the triggering message in this embodiment may specifically be a dynamic calibration request, and in order to ensure the safety of vehicle driving, the vehicle sensor needs to perform periodic or aperiodic dynamic calibration, so that when a preset calibration time of the target vehicle is reached, the target vehicle controller sends the dynamic calibration request to the T-Box, the T-Box establishes communication with the cloud server after receiving the dynamic calibration request, and the verification unit in the cloud server performs vehicle identity verification according to the dynamic calibration request.
Step S302, when the verification unit determines that the identity verification is passed, an identity verification passing message is sent to the calibration unit in the cloud server.
When the target vehicle is determined to be the registered legal user, the verification unit sends an identity verification passing message to the calibration unit in the cloud server.
Step S303, the calibration unit retrieves calibration data from the database according to the target vehicle identifier and the target vehicle sensor identifier based on the identity verification passing message.
Specifically, after the identity verification passing message is acquired, the calibration unit retrieves calibration data from the database according to the target vehicle identifier and the target vehicle sensor identifier, wherein the calibration data comprises target vehicle parameters, target vehicle sensor parameters and a target vehicle sensor calibration mode. For example, when the target sensor is a picture capturing sensor, the target vehicle parameter may specifically be a relevant size of the entire vehicle, and the target sensor parameter may specifically be an installation position of the picture capturing sensor on the target vehicle, etc. of course, this embodiment is merely an example, and specific contents included in the calibration data are not limited.
Step S304, the calibration unit calibrates the target vehicle sensor according to the calibration data and the interactive data acquired through communication with the target vehicle, and then generates a calibration result detection request.
The calibration module starts a dynamic calibration program and issues the instruction to the sensor controller through the T-Box, and the sensor controller synchronously starts the vehicle sensor calibration program. In the vehicle calibration process, a vehicle end and a cloud end carry out information interaction through a T-Box, finally, dynamic calibration is completed in a cloud end calibration module, and a calibration result detection request is generated after the calibration is completed, wherein the calibration result detection request comprises a calibration result of a calibration unit in a cloud end server aiming at a target vehicle sensor.
In the embodiment, when the cloud server acquires the calibration result detection request for the target vehicle sensor, the calibration result contained in the request is compared with the calibration threshold in the database to detect the accuracy of the calibration result of the sensor, and the calibration result of the sensor is written in under the condition of ensuring the accuracy of the calibration result, so that the driving safety of the vehicle is improved. And the calibration result detection request is specifically transmitted to the detection unit by the calibration unit of the cloud server, so that the diversity of the acquisition modes of the calibration result detection request is reflected.
Example four
Fig. 5 is a schematic structural diagram of a calibration result detection apparatus according to an embodiment of the present invention. As shown in fig. 5, the apparatus includes:
a calibration result detection request obtaining module 510, configured to obtain a calibration result detection request for a target vehicle sensor, where the calibration result detection request includes a calibration result for the target vehicle sensor;
a calibration threshold value retrieving module 520, configured to retrieve a calibration threshold value of the target vehicle sensor from the database;
and a calibration result writing module 530, configured to generate calibration success information when it is determined that the calibration result meets the calibration threshold, and transmit the calibration success information to the target vehicle, so that the target vehicle writes the calibration result into the target vehicle sensor according to the calibration success information.
Optionally, the calibration result detection request obtaining module is configured to receive, by a verification unit in the cloud server, an identity verification request sent by the target vehicle controller through the telematics, and perform vehicle identity verification according to the identity verification request, where the identity verification request includes a target vehicle identifier and a target vehicle sensor identifier;
when the verification unit determines that the identity verification passes, an identity verification passing response is fed back to the target vehicle controller through the remote information processor;
and acquiring a calibration result detection request which is sent by the target vehicle controller based on an identity verification pass response and aims at the target vehicle sensor, wherein the calibration result detection request comprises a calibration result of the target vehicle controller aiming at the target vehicle sensor.
Optionally, the calibration result detection request obtaining module is configured to, when it is determined that a calibration trigger message is received, perform vehicle identity verification by a verification unit in the cloud server according to the calibration trigger message, where the calibration trigger message includes a target vehicle identifier and a target vehicle sensor identifier;
when the verification unit determines that the identity verification passes, an identity verification passing message is sent to a calibration unit in the cloud server;
the calibration unit is used for calling calibration data from a database according to the target vehicle identification and the target vehicle sensor identification based on the identity verification passing message, wherein the calibration data comprises target vehicle parameters, target vehicle sensor parameters and a target vehicle sensor calibration mode;
the calibration unit calibrates the target vehicle sensor according to the calibration data and the interaction data acquired through communication with the target vehicle to generate a calibration result detection request, wherein the calibration result detection request comprises a calibration result of the calibration unit in the cloud server for the target vehicle sensor.
Optionally, the calibration result detection request obtaining module is further configured to obtain a target vehicle in-place signal sent by the device server when the target vehicle reaches the specified position;
and the verification unit in the cloud server performs vehicle identity verification according to the target vehicle in-place signal.
Optionally, the calibration result detection request obtaining module is further configured to obtain a dynamic calibration request sent by the target vehicle controller when a preset calibration time of the target vehicle sensor is reached;
and the verification unit in the cloud server performs vehicle identity verification according to the dynamic calibration request.
Optionally, the calibration threshold value invoking module is configured to send a calibration result detection request to a detection unit of the cloud server;
and calling the calibration threshold value of the target vehicle sensor from the database through the detection unit according to the target vehicle identifier and the target vehicle sensor identifier.
Optionally, the apparatus further includes a calibration failure information display module, configured to generate calibration failure information when it is determined that the calibration result does not meet the calibration threshold, where the calibration result failure information includes the calibration failure result and a calibration failure reason;
and transmitting the calibration failure information to the entertainment host through the remote information processor so that the entertainment host displays the calibration failure information.
The calibration result detection device provided by the embodiment of the invention can execute the calibration result detection method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
FIG. 6 illustrates a schematic structural diagram of an electronic device 10 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the calibration result detection method.
In some embodiments, the calibration result detection method may be implemented as a computer program that is tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the calibration result detection method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the calibration result detection method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A calibration result detection method is applied to a cloud server and is characterized by comprising the following steps:
acquiring a calibration result detection request aiming at a target vehicle sensor, wherein the calibration result detection request comprises a calibration result aiming at the target vehicle sensor;
calling a calibration threshold value of the target vehicle sensor from a database;
and when the calibration result is determined to meet the calibration threshold value, generating calibration success information, and transmitting the calibration success information to a target vehicle, so that the target vehicle writes the calibration result into the target vehicle sensor according to the calibration success information.
2. The method of claim 1, wherein obtaining a calibration result detection request for a target vehicle sensor comprises:
a verification unit in the cloud server receives an identity verification request sent by a target vehicle controller through a remote information processor, and vehicle identity verification is carried out according to the identity verification request, wherein the identity verification request comprises a target vehicle identifier and a target vehicle sensor identifier;
when the verification unit determines that the identity verification is passed, feeding back an identity verification passing response to the target vehicle controller through the remote information processor;
and acquiring a calibration result detection request which is sent by the target vehicle controller based on the identity verification pass response and aims at the target vehicle sensor, wherein the calibration result detection request comprises a calibration result of the target vehicle controller aiming at the target vehicle sensor.
3. The method of claim 1, wherein obtaining a calibration result detection request for a target vehicle sensor comprises:
when the calibration trigger message is determined to be received, a verification unit in the cloud server verifies the identity of the vehicle according to the calibration trigger message, wherein the calibration trigger message comprises a target vehicle identifier and a target vehicle sensor identifier;
when the verification unit determines that the identity verification passes, an identity verification passing message is sent to a calibration unit in the cloud server;
the calibration unit is used for calling calibration data from the database according to the target vehicle identification and the target vehicle sensor identification based on the identity verification passing message, wherein the calibration data comprises target vehicle parameters, target vehicle sensor parameters and a target vehicle sensor calibration mode;
the calibration unit calibrates the target vehicle sensor according to the calibration data and interactive data acquired by communicating with the target vehicle to generate the calibration result detection request, wherein the calibration result detection request includes a calibration result of the calibration unit in the cloud server for the target vehicle sensor.
4. The method of claim 3, wherein when it is determined that the calibration trigger message is received, the verification unit in the cloud server performs vehicle identity verification according to the calibration trigger message, and the method comprises:
when the target vehicle reaches a designated position, acquiring a target vehicle in-place signal sent by an equipment server;
and a verification unit in the cloud server performs vehicle identity verification according to the target vehicle in-place signal.
5. The method of claim 3, wherein when it is determined that the calibration trigger message is received, the verification unit in the cloud server performs vehicle identity verification according to the calibration trigger message, and the method comprises:
when the preset calibration time of a target vehicle sensor is reached, acquiring a dynamic calibration request sent by a target vehicle controller;
and the verification unit in the cloud server verifies the identity of the vehicle according to the dynamic calibration request.
6. The method of claim 2, wherein said retrieving a calibration threshold for said target vehicle sensor from a database comprises:
sending the calibration result detection request to a detection unit of the cloud server;
and calling the calibration threshold value of the target vehicle sensor from the database according to the target vehicle identifier and the target vehicle sensor identifier through the detection unit.
7. The method of claim 3, further comprising:
when the calibration result is determined to be not in accordance with the calibration threshold, generating calibration failure information, wherein the calibration result failure information comprises a calibration failure result and a calibration failure reason;
and transmitting the calibration failure information to an entertainment host through a remote information processor so that the entertainment host displays the calibration failure information.
8. A calibration result detection apparatus, characterized by comprising:
a calibration result detection request obtaining module, configured to obtain a calibration result detection request for a target vehicle sensor, where the calibration result detection request includes a calibration result for the target vehicle sensor;
the calibration threshold value calling module is used for calling the calibration threshold value of the target vehicle sensor from a database;
and the calibration result writing module is used for generating calibration success information when the calibration result is determined to accord with the calibration threshold value, and transmitting the calibration success information to a target vehicle so that the target vehicle writes the calibration result into the target vehicle sensor according to the calibration success information.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to perform the method of any one of claims 1-7 when executed.
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