Disclosure of Invention
The application mainly aims to provide a method, a device, equipment and a storage medium for processing internet of vehicles data, so as to solve the problems.
To achieve the above object, according to one aspect of the present application, there is provided an internet of vehicles data processing method, the method comprising:
responding to a trigger message sent by an intelligent vehicle-mounted networking terminal, wherein the trigger message comprises a road identifier where the intelligent vehicle-mounted networking terminal is positioned and an interested target moment;
determining a plurality of target intelligent vehicle-mounted networking terminals on the same road with the intelligent vehicle-mounted networking terminal according to the road identification;
for any target moment, determining a plurality of target image frames corresponding to the target moment respectively from a plurality of videos sent by the plurality of target intelligent vehicle-mounted networking terminals;
Generating a spatial video of the target moment according to the combination of the plurality of target image frames;
And sending the space video at the target moment to the intelligent vehicle-mounted networking terminal.
In some embodiments, generating the spatial video of the target time instant from the plurality of target image frame combinations includes:
Acquiring GPS data of each target intelligent vehicle-mounted networking terminal at the target moment;
Determining longitude data and latitude data for each GPS data;
Sorting the plurality of target image frames in order of longitude data or latitude data from small to large or from large to small;
And generating the spatial video of the target moment according to the ordered sequence.
In some embodiments, after responding to the trigger message sent by the intelligent vehicle-mounted networking terminal, the method further comprises:
Judging whether the current time belongs to the time period of working or not;
if yes, acquiring a facial image of the user;
determining the identity of the user according to the facial image of the user;
determining the name of the working unit of the user according to the identity mark and the identity database;
determining the geographic position of the work unit on the electronic map according to the electronic map and the work unit name;
Determining a plurality of feasible paths between the work units and the current position of the user;
and for any feasible path, generating a spatial video of the feasible path at the target moment.
In some embodiments, determining the identity of the user's co-workers based on the user's work units;
Determining a vehicle terminal of the colleague according to the identity of the colleague;
determining a geographic location of a vehicle terminal of the colleague;
the geographical position of the vehicle terminal of the colleague and the feasible path of the work unit are determined on the electronic map.
In some embodiments, determining a plurality of target intelligent vehicle-mounted networking terminals on the same road as the intelligent vehicle-mounted networking terminal according to the road identification; thereafter, the method further comprises:
acquiring the voice of the target intelligent vehicle-mounted networking terminal;
determining a road congestion degree label of the geographic position of the target intelligent vehicle-mounted networking terminal from the voice;
and sending the road congestion degree label of the geographic position of the target intelligent vehicle-mounted networking terminal to the intelligent vehicle-mounted networking terminal.
In some embodiments, the target time is a current time, a future time, or a past time;
if the time is a future time, the method further comprises:
calculating the time difference between the future time and the current time;
determining a specific geographic position to which the user travels at the future time according to the time difference and the traveling speed of the user;
And sending the state label of the geographic position to the intelligent vehicle-mounted networking terminal.
In some embodiments, the method further comprises:
Responding to a trigger message sent by an intelligent vehicle-mounted networking terminal, wherein the trigger message comprises a road identifier where the intelligent vehicle-mounted networking terminal is positioned and an interested target position on the road;
Determining a plurality of target intelligent vehicle-mounted networking terminals between the current position of a user on the road and the target position;
a plurality of target image frames sent by the plurality of target intelligent vehicle-mounted networking terminals at the current moment are received;
Generating a spatial video of the current moment according to the combination of the plurality of target image frames;
And sending the spatial video at the current moment to the intelligent vehicle-mounted networking terminal.
According to a second aspect of the present application, an internet of vehicles data processing apparatus includes:
the terminal determining module is used for responding to a triggering message sent by the intelligent vehicle-mounted networking terminal, wherein the triggering message comprises a road identifier where the intelligent vehicle-mounted networking terminal is located and a target time of interest, and a plurality of target intelligent vehicle-mounted networking terminals which are located on the same road with the intelligent vehicle-mounted networking terminal are determined according to the road identifier;
The image frame determining module is used for determining a plurality of target image frames corresponding to any target moment respectively from a plurality of videos sent by the plurality of target intelligent vehicle-mounted networking terminals;
The video generation module is used for generating a spatial video of the target moment according to the combination of the plurality of target image frames;
And the sending module is used for sending the spatial video at the target moment to the intelligent vehicle-mounted networking terminal.
In some embodiments, the video generation module is further to:
Acquiring GPS data of each target intelligent vehicle-mounted networking terminal at the target moment;
Determining longitude data and latitude data for each GPS data;
Sorting the plurality of target image frames in order of longitude data or latitude data from small to large or from large to small;
And generating the spatial video of the target moment according to the ordered sequence.
In some embodiments, the system further comprises an identity determining module, configured to determine whether the current time belongs to a working time period after responding to a trigger message sent by the intelligent vehicle-mounted networking terminal;
if yes, acquiring a facial image of the user;
determining the identity of the user according to the facial image of the user;
the path determining module is used for determining the name of the working unit of the user according to the identity mark and the identity database;
determining the geographic position of the work unit on the electronic map according to the electronic map and the work unit name;
Determining a plurality of feasible paths between the work units and the current position of the user;
the video generation module is further used for generating a spatial video of the feasible path at the target moment for any one feasible path.
In some embodiments, the identity determination module is further configured to determine an identity of a colleague of the user according to a work unit of the user;
the path determining module is also used for determining a vehicle terminal of the colleague according to the identity of the colleague;
determining a geographic location of a vehicle terminal of the colleague;
the geographical position of the vehicle terminal of the colleague and the feasible path of the work unit are determined on the electronic map.
In some embodiments, the system further includes a semantic recognition module, configured to obtain, after determining, according to the road identifier, a plurality of target intelligent vehicle-mounted networking terminals on the same road as the intelligent vehicle-mounted networking terminal, a voice of the target intelligent vehicle-mounted networking terminal;
determining a road state label of the geographic position of the target intelligent vehicle-mounted networking terminal from the voice;
The sending module is also used for sending the road state label of the geographic position of the target intelligent vehicle-mounted networking terminal to the intelligent vehicle-mounted networking terminal.
In some embodiments, a calculation module is also included for, if the time is a future time,
Calculating the time difference between the future time and the current time;
determining a specific geographic position to which the user travels at the future time according to the time difference and the traveling speed of the user;
and the sending module is also used for sending the state label of the geographic position to the intelligent vehicle-mounted networking terminal.
In some embodiments, the terminal determining module is further configured to, in response to a trigger message sent by the intelligent vehicle-mounted networking terminal, the trigger message including a road identifier where the intelligent vehicle-mounted networking terminal is located and a target location of interest on the road;
Determining a plurality of target intelligent vehicle-mounted networking terminals between the current position of a user on the road and the target position;
the image frame determining module is further used for determining a plurality of target image frames sent by the plurality of target intelligent vehicle-mounted networking terminals at the current moment;
the video generation module is further used for generating the spatial video of the current moment according to the combination of the plurality of target image frames;
the sending module is also used for sending the spatial video at the current moment to the intelligent vehicle-mounted networking terminal.
According to a third aspect of the present application, an internet of vehicles data processing apparatus includes: at least one processor and at least one memory;
The memory is used for storing one or more program instructions;
the processor is configured to execute one or more program instructions to perform the method of any of the above.
According to a fourth aspect of the present application, a computer readable storage medium having one or more program instructions embodied therein for performing the method of any one of the above.
In the embodiment of the application, the cloud server generates the spatial video of one road at one time point and sends the spatial video to the intelligent vehicle-mounted networking terminal, so that a user has improved knowledge of the road. The experience of the user in the driving process is improved.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
The application provides a vehicle networking data processing method, which comprises the following steps:
Step S102, responding to a trigger message sent by an intelligent vehicle-mounted networking terminal, wherein the trigger message comprises a road identifier where the intelligent vehicle-mounted networking terminal is positioned and an interested target moment; determining a plurality of target intelligent vehicle-mounted networking terminals on the same road with the intelligent vehicle-mounted networking terminal according to the road identification;
specifically, the target time may be a past time, a current time, or a future time.
Specifically, the road identifier may be a chinese name, a letter, or an arabic numeral of the road.
The intelligent vehicle-mounted network connection terminal is located in a Changan street, the current time is 55 minutes at 1 pm, and the trigger message sent by the user comprises: the chang' an street and 2 pm are integrated. After 5 minutes, the user wants to know the road condition information of different positions on the Changan street. If the user does not specify a time, the time defaults to the current time.
If the trigger message sent by the user only comprises the Changan street, the default user wants to know the road condition information of different positions of the Changan street at the current moment.
Step S104, for any target moment, determining a plurality of target image frames corresponding to the target moment respectively from a plurality of videos sent by the plurality of target intelligent vehicle-mounted networking terminals;
specifically, the video is a video of the road condition in front of the vehicle terminal driving monitoring.
In the implementation process, the cloud server receives and stores the road condition monitoring video sent by each vehicle terminal in real time. According to the time stamp of the image frame, the cloud server can determine the image frame at any moment.
The intelligent vehicle-mounted network connection terminal is located in a Changan street, the current time is 55 minutes at 1 pm, and the trigger message sent by the user comprises: the chang' an street and 8 am are all over the road. The cloud server can determine a plurality of 8-point image frames, and the user knows the image frames at the historical moment. The data at the historical moment has more reference significance for the user and has more reference value for planning the travel of going to work in the morning the next day.
Step S106, generating a spatial video of the target moment according to the combination of the plurality of target image frames;
For example, see fig. 2 for a schematic view of image frames at different locations on the same road at a time a; at time a, an image frame 1 corresponding to a first position on a road; image frame 2 corresponding to the second position; corresponding to image frame 3 at a third location; and in the fourth position corresponds to image frame 4. And combining according to the four image frames to generate the space video at the moment A. The spatial video may be used to represent details of the blind location of the road at time a.
And step S108, the spatial video at the target moment is sent to the intelligent vehicle-mounted networking terminal.
The intelligent vehicle-mounted network terminal can know the conditions of the road at different positions of the time A after the spatial video of the road at the time A is sent to the intelligent vehicle-mounted network terminal, so that a user can make a driving plan or change the road.
In some embodiments, step S106, generating the spatial video of the target moment according to the plurality of target image frame combinations, specifically includes the following steps, see a flowchart of a method for generating the spatial video of the target moment according to the plurality of target image frame combinations shown in fig. 3; the method comprises the following steps:
Step S301, acquiring GPS data of each target intelligent vehicle-mounted networking terminal at the target moment;
Step S302, determining longitude data and latitude data of each GPS data;
Step S303, sorting the plurality of target image frames according to the order of longitude data or latitude data from small to large or from large to small;
Step S304, generating the space video of the target moment according to the ordered sequence.
In some embodiments, after responding to the trigger message sent by the intelligent vehicle-mounted networking terminal, the method further comprises the following steps: referring to fig. 4, another flow chart of a method of processing internet of vehicles data is shown;
step 401, judging whether the current time belongs to a time period of working; if yes, go to step S402; if not, ending.
Wherein, the working time period is set to be between 6 and 9 points on monday to friday morning. The application is not limited, and can be flexibly set.
Step S402, acquiring a facial image of a user;
step S403, determining the identity of the user according to the facial image of the user;
step S404, determining the name of the working unit of the user according to the identity mark and the identity database;
In the specific implementation, a face recognition algorithm can be adopted, and a database of large data such as social security is combined to determine the identity card of the user, so that the working unit of the user can be determined.
Step S405, determining the geographic position of the work unit on the electronic map according to the electronic map and the work unit name;
step S406, determining a plurality of feasible paths between the work unit and the current position of the user;
Step S407, for any one feasible path, generating a spatial video of the feasible path at the target moment.
Specifically, for any one path, the steps of steps S104 and S106 may be used to generate a spatial video of the path at the target time. And transmitting the spatial videos of all the feasible paths to the intelligent vehicle-mounted networking terminal. So that the user can select the path of interest at will.
To increase the interactive communication between the user and the colleagues, in some embodiments, the identity of the colleagues of the user is determined according to the work units of the user;
Determining a vehicle terminal of the colleague according to the identity of the colleague;
Specifically, the identities of all staff members of the work unit and the corresponding vehicle license plates of all people can be determined according to the social security equal-size data.
Determining a geographic location of a vehicle terminal of the colleague;
the geographical position of the vehicle terminal of the colleague and the feasible path of the work unit are determined on the electronic map.
In the implementation process, the feasible paths of the colleagues are sent to the intelligent vehicle-mounted networking terminal. Or the feasible paths of the users are sent to the intelligent vehicle-mounted networking terminal of the colleague.
In some embodiments, after determining a plurality of target intelligent vehicle-mounted networking terminals on the same road as the intelligent vehicle-mounted networking terminal according to the road identifier, the method further includes:
acquiring the voice of the target intelligent vehicle-mounted networking terminal;
determining a road state label of the geographic position of the target intelligent vehicle-mounted networking terminal from the voice;
exemplary, speech utterances: "true road blocking-! ", whereby the status label for that geographic location can be determined to be congested.
If the speech is said, "this road is really relaxed-! No traffic jam-! ", determine that the status tag for that geographic location is not blocked.
In particular, a semantic recognition algorithm may be employed to improve the accuracy of recognition. So that similar semantic expressions of the same meaning can be identified.
And sending the road congestion degree label of the geographic position of the target intelligent vehicle-mounted networking terminal to the intelligent vehicle-mounted networking terminal.
In some embodiments, the target time is a current time, a future time, or a past time;
if the time is a future time, the method further comprises:
calculating the time difference between the future time and the current time;
determining a specific geographic position to which the user travels at the future time according to the time difference and the traveling speed of the user;
And sending the state label of the geographic position to the intelligent vehicle-mounted networking terminal.
In some embodiments, the method further comprises: responding to a trigger message sent by an intelligent vehicle-mounted networking terminal, wherein the trigger message comprises a road identifier where the intelligent vehicle-mounted networking terminal is positioned and an interested target position on the road;
Determining a plurality of target intelligent vehicle-mounted networking terminals between the current position of a user on the road and the target position;
The current position of the intelligent vehicle-mounted networking terminal is a western bill of the Changan street, the user is interested in the traffic state of the position of the national trade on the Changan street, and the target position is the Changan street national trade. Only a plurality of target intelligent vehicle-mounted networking terminals on the road from the western bill to the national trade are determined. If there are three vehicles on the road section, three intelligent vehicle-mounted network connection terminals A, B, C are respectively located at different positions.
A plurality of target image frames sent by the plurality of target intelligent vehicle-mounted networking terminals at the current moment are received;
Generating a spatial video of the current moment according to the combination of the plurality of target image frames;
And sending the spatial video at the current moment to the intelligent vehicle-mounted networking terminal.
For example, the image frames respectively photographed by the intelligent vehicle-mounted internet access terminal A, B, C at the current moment are combined into a spatial video. Thereby providing the user with a general knowledge of the western style bill to country trade path.
In some embodiments, the method further comprises: acquiring the current speed of a user;
randomly determining N times after the current moment;
Calculating the time difference between N times and the current time;
Calculating N distances according to the speed and the time difference;
obtaining geographic positions of N moments according to the current position and N distances;
specifically, a first image frame sent by an intelligent vehicle-mounted networking terminal at a first time and a first geographic position is obtained;
acquiring a second image frame sent by an intelligent vehicle-mounted networking terminal at a second time and a second geographic position;
Acquiring a third image frame sent by an intelligent vehicle-mounted networking terminal at a third time and a third geographic position;
and by analogy, acquiring an Nth image frame sent by the intelligent vehicle-mounted networking terminal at the Nth geographic position;
And generating the spatial video of the road by using the N image frames.
Corresponding to the above method, according to a second aspect of the embodiment of the present application, the present application further provides an internet of vehicles data processing device, and referring to a schematic structural diagram of an internet of vehicles data processing device shown in fig. 5; the device comprises:
The terminal determining module 51 is configured to respond to a trigger message sent by an intelligent vehicle-mounted network-connected terminal, where the trigger message includes a road identifier where the intelligent vehicle-mounted network-connected terminal is located and a target time of interest, and determine, according to the road identifier, a plurality of target intelligent vehicle-mounted network-connected terminals on the same road as the intelligent vehicle-mounted network-connected terminal;
An image frame determining module 52, configured to determine, for an arbitrary target time, a plurality of target image frames corresponding to the target time respectively from a plurality of videos sent by the plurality of target intelligent vehicle-mounted network terminals;
a video generating module 53, configured to generate a spatial video of the target moment according to the combination of the plurality of target image frames;
and the sending module 54 is configured to send the spatial video at the target moment to the intelligent vehicle-mounted internet access terminal.
In some embodiments, the video generation module 53 is further configured to:
Acquiring GPS data of each target intelligent vehicle-mounted networking terminal at the target moment;
Determining longitude data and latitude data for each GPS data;
Sorting the plurality of target image frames in order of longitude data or latitude data from small to large or from large to small;
And generating the spatial video of the target moment according to the ordered sequence.
In some embodiments, the system further comprises an identity determining module, configured to determine whether the current time belongs to a working time period after responding to a trigger message sent by the intelligent vehicle-mounted networking terminal;
if yes, acquiring a facial image of the user;
determining the identity of the user according to the facial image of the user;
the path determining module is used for determining the name of the working unit of the user according to the identity mark and the identity database;
determining the geographic position of the work unit on the electronic map according to the electronic map and the work unit name;
Determining a plurality of feasible paths between the work units and the current position of the user;
the video generation module is further used for generating a spatial video of the feasible path at the target moment for any one feasible path.
In some embodiments, the identity determination module is further configured to determine an identity of a colleague of the user according to a work unit of the user;
the path determining module is also used for determining a vehicle terminal of the colleague according to the identity of the colleague;
determining a geographic location of a vehicle terminal of the colleague;
the geographical position of the vehicle terminal of the colleague and the feasible path of the work unit are determined on the electronic map.
In some embodiments, the system further includes a semantic recognition module, configured to obtain, after determining, according to the road identifier, a plurality of target intelligent vehicle-mounted networking terminals on the same road as the intelligent vehicle-mounted networking terminal, a voice of the target intelligent vehicle-mounted networking terminal;
determining a road state label of the geographic position of the target intelligent vehicle-mounted networking terminal from the voice;
The sending module is also used for sending the road state label of the geographic position of the target intelligent vehicle-mounted networking terminal to the intelligent vehicle-mounted networking terminal.
In some embodiments, a calculation module is also included for, if the time is a future time,
Calculating the time difference between the future time and the current time;
determining a specific geographic position to which the user travels at the future time according to the time difference and the traveling speed of the user;
And the sending module 54 is further configured to send a status tag of the geographic location to the intelligent vehicle-mounted networking terminal.
In some embodiments, the terminal determining module 51 is further configured to respond to a trigger message sent by the intelligent vehicle-mounted network-connected terminal, where the trigger message includes a road identifier where the intelligent vehicle-mounted network-connected terminal is located and a target location of interest on the road;
Determining a plurality of target intelligent vehicle-mounted networking terminals between the current position of a user on the road and the target position;
the image frame determining module 52 is further configured to determine a plurality of target image frames sent by the plurality of target intelligent vehicle-mounted network-connected terminals at the received current moment;
the video generating module 53 is further configured to generate a spatial video of the current moment according to the combination of the plurality of target image frames;
The sending module 54 is further configured to send the spatial video at the current moment to the intelligent vehicle-mounted network connection terminal.
According to a third aspect of the present application, an internet of vehicles data processing apparatus, see a schematic structural diagram of an internet of vehicles processing apparatus shown in fig. 6; the apparatus includes: at least one processor 61 and at least one memory 62;
The memory 62 is used to store one or more program instructions;
the processor 61 is configured to execute one or more program instructions for performing the method of any of the above.
According to a fourth aspect of the present application, a computer readable storage medium having one or more program instructions embodied therein for performing the method of any one of the above.
In the embodiment of the invention, the processor may be an integrated circuit chip with signal processing capability. The Processor may be a general purpose Processor, a digital signal Processor (DIGITAL SIGNAL Processor, DSP), an application specific integrated circuit (Application SpecificIntegrated Circuit, ASIC), a field programmable gate array (FieldProgrammable GATE ARRAY, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The processor reads the information in the storage medium and, in combination with its hardware, performs the steps of the above method.
The storage medium may be memory, for example, may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable ROM (ELECTRICALLY EPROM, EEPROM), or a flash Memory.
The volatile memory may be a random access memory (Random Access Memory, RAM for short) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (STATIC RAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate Synchronous dynamic random access memory (Double DATA RATESDRAM, ddr SDRAM), enhanced Synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCHLINK DRAM, SLDRAM), and direct memory bus random access memory (DirectRambus RAM, DRRAM).
The storage media described in embodiments of the present invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the present invention may be implemented in a combination of hardware and software. When the software is applied, the corresponding functions may be stored in a computer-readable medium or transmitted as one or more instructions or code on the computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.