CN113033496A - Vehicle type determination method and device - Google Patents

Vehicle type determination method and device Download PDF

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Publication number
CN113033496A
CN113033496A CN202110484660.1A CN202110484660A CN113033496A CN 113033496 A CN113033496 A CN 113033496A CN 202110484660 A CN202110484660 A CN 202110484660A CN 113033496 A CN113033496 A CN 113033496A
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Prior art keywords
vehicle
image
vehicle type
predetermined
preset
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黄锦武
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Beijing Xiaoma Huixing Technology Co ltd
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Beijing Xiaoma Huixing Technology Co ltd
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Priority to CN202110484660.1A priority Critical patent/CN113033496A/en
Publication of CN113033496A publication Critical patent/CN113033496A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/54Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08Detecting or categorising vehicles

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The invention discloses a method and a device for determining a vehicle type. Wherein, the method comprises the following steps: acquiring a region image within a predetermined region, wherein the predetermined region is a region associated with a position of a target vehicle; sending the area image to an application program of a preset terminal on the target vehicle; displaying the area image through a preset interface of the application program; and responding to a triggering operation acted on the preset interface to determine the vehicle type I of the vehicle in the area image. The invention solves the technical problems that the intelligentization degree of the vehicle is low, the information of the current road condition of the vehicle cannot be provided for passengers, and the riding experience cannot be experienced by riding.

Description

Vehicle type determination method and device
Technical Field
The invention relates to the technical field of vehicle control, in particular to a method and a device for determining a vehicle type.
Background
In the related art, when a passenger travels in a vehicle, the passenger does not feel bored or tired if the distance is short. However, if the travel is long, the time of passengers on the vehicle is long, and the passengers are tired and boring due to the increase of the riding time with time. However, there is no device for passengers to participate in the operation of the vehicle on the current vehicle, and the riding vehicle cannot acquire information from the current road to improve the riding experience.
Aiming at the problems that the intelligent degree of the vehicle in the related technology is low, the information of the road condition of the current vehicle cannot be provided for passengers, and the riding experience cannot be experienced by riding the vehicle, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a vehicle type, which are used for at least solving the technical problems that the intelligentization degree of a vehicle is low, the information of the current road condition of the vehicle cannot be provided for passengers, and the riding experience cannot be experienced by riding the vehicle.
According to an aspect of an embodiment of the present invention, there is provided a vehicle type determination method including: acquiring a region image within a predetermined region, wherein the predetermined region is a region associated with a position of a target vehicle; sending the area image to an application program of a preset terminal on the target vehicle; displaying the area image through a preset interface of the application program; and responding to a trigger operation acted on the preset interface to determine the vehicle type I of the vehicle in the area image.
Optionally, acquiring a region image within a predetermined region includes: determining that the target vehicle enters an operating state; triggering an image acquisition device on the target vehicle to acquire an area image in a predetermined area of the target vehicle.
Optionally, displaying the area image through a predetermined interface of the application program includes: responding to a trigger operation of a first control in the preset interface to preprocess the area image to obtain a preprocessed area image, wherein the preprocessing at least comprises one of the following steps: extracting characteristics and dividing regions; and displaying the preprocessed area image.
Optionally, after the area image is displayed through a predetermined interface of the application program, the method for determining a vehicle type further includes: responding to a trigger operation acting on a preset icon in the preset terminal to open a preset application on the preset terminal; and responding to the marking operation acted on the preset interface to mark a first vehicle image in the area image.
Optionally, the determining the vehicle type of the vehicle in the area image in response to a trigger operation applied to the predetermined interface includes: and responding to a triggering operation of a second control on the preset interface to determine that the vehicle image corresponds to the vehicle type of the vehicle.
Optionally, the method for determining a vehicle type further includes: carrying out image recognition on the area image to obtain a second vehicle image of the vehicle in the preset area; determining a second vehicle type corresponding to the second region image through a vehicle type recognition model, wherein the vehicle type recognition model is obtained through machine learning training by using multiple sets of training data, and each set of training data in the multiple sets of training data comprises: a vehicle image and a vehicle type corresponding to the vehicle image; judging whether the first vehicle type is the same as the second vehicle type to obtain a judgment result; and when the judgment result shows that the first vehicle type is the same as the second vehicle type, storing the first vehicle image and the first vehicle type into a preset storage medium, wherein the preset storage medium stores training data used for training and testing a vehicle type recognition model.
Optionally, the method for determining a vehicle type further includes: monitoring the preset storage medium to obtain a monitoring result; determining that the training data stored in the predetermined storage medium is updated to a predetermined value based on the monitoring result; and acquiring the updated training data in the preset storage medium to update the vehicle type identification model.
Optionally, the method for determining a vehicle type further includes: and deleting the historical training data in the predetermined storage medium within a predetermined historical time period.
According to another aspect of the embodiments of the present invention, there is also provided a vehicle type determination method including: displaying a region image within a predetermined region through a predetermined interface, wherein the predetermined region is a region associated with a position of a target vehicle; displaying at least one alternate vehicle type control for a vehicle within the regional image at the predetermined interface; and responding to a trigger operation acting on one control of the at least one alternative vehicle type control to determine the vehicle type I of the vehicle in the area image.
According to another aspect of the embodiments of the present invention, there is also provided a vehicle type determination apparatus including: an acquisition unit configured to acquire an area image within a predetermined area, wherein the predetermined area is an area associated with a position of a target vehicle; a sending unit, configured to send the area image to an application program of a predetermined terminal on the target vehicle; a first display unit for displaying the region image through a predetermined interface of the application program; and the first determination unit is used for responding to the trigger operation acted on the preset interface so as to determine the vehicle type I of the vehicle in the area image.
Optionally, the obtaining unit includes: the first determination module is used for determining that the target vehicle enters the running state; the first triggering module is used for triggering the image acquisition equipment on the target vehicle to acquire the area image in the preset area of the target vehicle.
Optionally, the first display unit includes: the preprocessing module is used for responding to a trigger operation acted on a first control in the preset interface so as to preprocess the area image to obtain a preprocessed area image, wherein the preprocessing at least comprises one of the following steps: extracting characteristics and dividing regions; and the first display module is used for displaying the preprocessed area image.
Optionally, the vehicle type determination device further includes: the opening module is used for responding to the triggering operation of a preset icon in the preset terminal after the area image is displayed through a preset interface of the application program so as to open a preset application on the preset terminal; and the marking module is used for responding to a marking operation acted on the preset interface so as to mark a first vehicle image in the area image.
Optionally, the first determining unit includes: and the second determination module is used for responding to the triggering operation of a second control acting on the preset interface so as to determine that the vehicle image corresponds to the vehicle type of the vehicle.
Optionally, the vehicle type determination device further includes: the identification module is used for carrying out image identification on the area image to obtain a second vehicle image of the vehicle in the preset area; a third determining module, configured to determine, through a vehicle type identification model, a vehicle type two corresponding to the area image two, where the vehicle type identification model is obtained through machine learning training using multiple sets of training data, and each set of training data in the multiple sets of training data includes: a vehicle image and a vehicle type corresponding to the vehicle image; the judging module is used for judging whether the first vehicle type is the same as the second vehicle type to obtain a judging result; and the storage module is used for storing the first vehicle image and the first vehicle type into a preset storage medium when the judgment result shows that the first vehicle type and the second vehicle type are the same, wherein the preset storage medium stores training data used for training and testing a vehicle type identification model.
Optionally, the vehicle type determination device further includes: the monitoring module is used for monitoring the preset storage medium to obtain a monitoring result; the updating module is used for determining that the training data stored in the preset storage medium is updated to a preset value based on the monitoring result; and the acquisition module is used for acquiring the updated training data in the preset storage medium to update the vehicle type identification model.
Optionally, the vehicle type determination device further includes: and the deleting module is used for deleting the historical training data in the preset historical time period in the preset storage medium.
According to another aspect of the embodiments of the present invention, there is also provided a vehicle type determination apparatus including: a second display unit for displaying an area image within a predetermined area through a predetermined interface, wherein the predetermined area is an area associated with a position of a target vehicle; the third display unit is used for displaying at least one candidate vehicle type control of the vehicle in the area image on the preset interface; and the second determination unit is used for responding to the triggering operation of one control of the at least one alternative vehicle type control to determine the vehicle type I of the vehicle in the area image.
According to another aspect of the embodiment of the present invention, there is also provided a computer-readable storage medium, which includes a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute any one of the above-mentioned vehicle type determination methods.
According to another aspect of the embodiment of the present invention, there is also provided a processor for executing a program, wherein the program executes the method for determining the vehicle type according to any one of the above methods.
According to another aspect of an embodiment of the present invention, there is also provided an autonomous vehicle including: a memory, a processor coupled with the memory, the memory and the processor communicating over a bus system; the memory is used for storing a program, wherein the program when executed by the processor controls the device in which the memory is located to execute any one of the above-mentioned vehicle type determination methods; the processor is configured to run a program, wherein the program is configured to execute any one of the above-mentioned vehicle type determination methods when running.
In an embodiment of the present invention, a region image within a predetermined region is acquired, wherein the predetermined region is a region associated with a position of a target vehicle; sending the area image to an application program of a preset terminal on the target vehicle; displaying the area image through a preset interface of the application program; and responding to a triggering operation acted on the preset interface to determine the vehicle type I of the vehicle in the area image. By the method for determining the vehicle type, the purpose that the image on the target vehicle driving road is sent to the application program of the preset terminal arranged on the target vehicle to be displayed is achieved, and the passenger processes the displayed image through the application program, so that the technical effect of improving the intelligent degree of the vehicle is achieved, the passenger experience is also improved, and the technical problems that the intelligent degree of the vehicle is low in the related technology, the information of the current road condition of the vehicle cannot be provided for the passenger, and the passenger experience cannot be experienced by taking the vehicle are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of vehicle type determination according to an embodiment of the present invention;
FIG. 2 is a flow chart of an alternative vehicle type determination method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a vehicle type determination apparatus according to an embodiment of the invention;
fig. 4 is a schematic diagram of an alternative vehicle type determination apparatus according to an 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, 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 1
In accordance with an embodiment of the present invention, there is provided a method embodiment of a method for vehicle type determination, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Fig. 1 is a flowchart of a vehicle type determination method according to an embodiment of the present invention, which includes the steps of, as shown in fig. 1:
in step S102, a region image within a predetermined region is acquired, wherein the predetermined region is a region associated with the position of the target vehicle.
The area image is an image of a predetermined range on a road where the target vehicle is located.
As an alternative embodiment, during the running of the target vehicle, an image capturing device provided on the target vehicle may be used to capture an image within a predetermined distance range from the target vehicle.
And step S104, transmitting the area image to an application program of a preset terminal on the target vehicle.
Alternatively, the predetermined terminal may be a terminal device provided on the target vehicle, for example, a tablet. Specifically, the number of the terminal devices may be plural, and the plural terminal devices may be disposed at positions where passengers can conveniently operate and browse while sitting on the seat. The application program may be developed in advance and installed on the predetermined terminal.
And step S106, displaying the area image through a preset interface of the application program.
Here, after the image capturing apparatus captures the area image and transmits the area image to the application program, the area image may be displayed through a predetermined interface of the application program.
And step S108, responding to the trigger operation acted on the preset interface to determine the vehicle type I of the vehicle in the area image.
As can be seen from the above, in the embodiment of the present invention, after the area image in the predetermined area is acquired, where the predetermined area is an area associated with the position of the target vehicle, the area image may be sent to the application program of the predetermined terminal on the target vehicle; the regional image is displayed through the preset interface of the application program, the triggering operation acted on the preset interface is responded, the vehicle type I of the vehicle in the regional image is determined, the purpose that the image on the driving road of the target vehicle is sent to the application program of the preset terminal arranged on the target vehicle to be displayed is achieved, and the passenger processes the displayed image through the application program is achieved, the technical effect of improving the intelligent degree of the vehicle is achieved, and the passenger experience is also improved.
Therefore, the method for determining the vehicle type provided by the embodiment of the invention solves the technical problems that the intelligentization degree of the vehicle is low, the information of the current road condition of the vehicle cannot be provided for passengers, and the riding experience cannot be experienced by riding the vehicle.
The execution subject is a processor on the target vehicle.
In the step S102, acquiring an area image in a predetermined area includes: determining that a target vehicle enters an operating state; and triggering an image acquisition device on the target vehicle to acquire an area image in a preset area of the target vehicle.
For example, when the detection module of the target vehicle detects that the vehicle enters the running state, the image acquisition device on the target vehicle may be triggered to acquire the area image in the predetermined area of the target vehicle, so as to acquire the road condition information in the predetermined range of the target vehicle.
In the step S106, displaying the area image through a predetermined interface of the application program includes: responding to a trigger operation of a first control acting on a preset interface to preprocess the area image to obtain a preprocessed area image, wherein the preprocessing at least comprises one of the following steps: extracting characteristics and dividing regions; and displaying the preprocessed area image.
For example, after a predetermined interface of the application displays the area image, the passenger may pre-process the area image by triggering a predetermined control on the predetermined interface, for example, a vehicle in the image may be marked out from the area image.
As an alternative embodiment, after displaying the area image through a predetermined interface of the application program, the method for determining a vehicle type may further include: responding to a trigger operation acting on a preset icon in a preset terminal to open a preset application on the preset terminal; and responding to the marking operation acted on the preset interface to mark the first vehicle image in the area image.
For example, the passenger may trigger an icon on the predetermined terminal for identifying an application program to open a predetermined application installed on the predetermined terminal; and can mark the first vehicle image in the area image by triggering a preset interface.
In an alternative embodiment, the determining the vehicle type of the vehicle in the area image in response to the triggering operation applied to the predetermined interface includes: and responding to the triggering operation of a second control on the preset interface to determine that the vehicle image corresponds to the vehicle type of the vehicle.
For example, the passenger may trigger a second control on the predetermined interface to determine that the vehicle image corresponds to the vehicle type of the vehicle.
As an alternative embodiment, the method for determining the type of vehicle may further include: carrying out image recognition on the area image to obtain a second vehicle image of the vehicle in the preset area; determining a second vehicle type corresponding to the second region image through a vehicle type recognition model, wherein the vehicle type recognition model is obtained by using a plurality of groups of training data through machine learning training, and each group of training data in the plurality of groups of training data comprises: a vehicle image and a vehicle type corresponding to the vehicle image; judging whether the first vehicle type is the same as the second vehicle type to obtain a judgment result; and when the judgment result shows that the first vehicle type is the same as the second vehicle type, storing the first vehicle image and the first vehicle type into a preset storage medium, wherein the preset storage medium stores training data used for training and testing the vehicle type recognition model.
The processor may analyze the acquired area image to obtain a vehicle type of the vehicle in the area image, and compare the vehicle type analyzed by the processor with the vehicle type selected by the passenger. And under the condition that the comparison result is consistent, storing the riding marked image and the vehicle type determined based on the riding marked image into a preset storage medium together for training and testing the vehicle type recognition model at the later stage.
In the embodiment, the pleasure of passengers in the riding process can be increased, and more reliable training and test data can be acquired.
As an alternative embodiment, the method for determining a vehicle type further includes: monitoring a preset storage medium to obtain a monitoring result; determining that the training data stored in the predetermined storage medium is updated to a predetermined value based on the monitoring result; and acquiring the updated training data in a preset storage medium to update the vehicle type identification model.
When the training data in the preset storage medium reaches a certain value, the training data can be used for updating the vehicle type recognition model.
As an alternative embodiment, the method for determining a vehicle type further includes: and deleting the historical training data in the predetermined historical time period in the predetermined storage medium.
By the embodiment, the training data stored in the predetermined storage medium for a long time can be deleted, so that the overhead of the predetermined storage medium is reduced.
In summary, according to the method for determining a vehicle type provided in the embodiments of the present invention, a terminal device may be set on a target vehicle, and an application program may be installed on the terminal device, so that when a passenger takes a vehicle, the passenger may interact with road condition information during a vehicle driving process through the application program, thereby improving a riding experience of the passenger, and may also obtain data processed by the passenger and used for training and testing a vehicle type recognition model.
Example 2
In accordance with an embodiment of the present invention, there is provided a method embodiment of a method for vehicle type determination, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Fig. 2 is a flowchart of an alternative vehicle type determination method according to an embodiment of the present invention, as shown in fig. 2, the vehicle type determination method includes the steps of:
step S202, displaying an area image within a predetermined area through a predetermined interface, wherein the predetermined area is an area associated with the position of the target vehicle.
And step S204, displaying at least one candidate vehicle type control of the vehicle in the area image in the preset interface.
And step S206, responding to the trigger operation acted on one control of the at least one candidate vehicle type control to determine the vehicle type I of the vehicle in the area image.
As can be seen from the above, in the embodiment of the present invention, the area image within the predetermined area may be displayed through the predetermined interface, where the predetermined area is an area associated with the position of the target vehicle; at least one alternate vehicle type control for the vehicle within the predetermined interface display area image; the triggering operation acting on one of the at least one candidate vehicle type control is responded to determine the first vehicle type of the vehicle in the area image, the image on the target vehicle driving road is sent to an application program of a preset terminal arranged on the target vehicle to be displayed, and a passenger can process the displayed image through the application program, so that the technical effect of improving the intelligent degree of the vehicle is achieved, and the passenger experience is also improved.
Therefore, the method for determining the vehicle type provided by the embodiment of the invention solves the technical problems that the intelligentization degree of the vehicle is low, the information of the current road condition of the vehicle cannot be provided for passengers, and the riding experience cannot be experienced by riding the vehicle.
The execution subject is a predetermined application installed on a terminal device provided in a target vehicle.
Example 3
According to another aspect of the embodiment of the present invention, there is also provided a vehicle type determination apparatus, fig. 3 is a schematic view of the vehicle type determination apparatus according to the embodiment of the present invention, as shown in fig. 3, including: an acquisition unit 31, a transmission unit 33, a first display unit 35, and a first determination unit 37. The following describes an apparatus for determining the type of vehicle.
An acquisition unit 31 acquires an area image within a predetermined area, wherein the predetermined area is an area associated with the position of the target vehicle.
A transmission unit 33 for transmitting the area image to an application program of a predetermined terminal on the target vehicle.
And a first display unit 35 for displaying the region image through a predetermined interface of the application program.
And a first determination unit 37 for determining a first vehicle type of the vehicle in the area image in response to a trigger operation applied to the predetermined interface.
It should be noted here that the acquiring unit 31, the sending unit 33, the first displaying unit 35, and the first determining unit 37 correspond to steps S102 to S108 in embodiment 1, and the modules are the same as the corresponding steps in the implementation example and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
As can be seen from the above, in the above-described embodiment of the present application, the acquisition unit may be used to acquire the area image within a predetermined area, where the predetermined area is an area associated with the position of the target vehicle; then, the sending unit is used for sending the area image to an application program of a preset terminal on the target vehicle; displaying the area image through a preset interface of the application program by utilizing a first display unit; and responding to the triggering operation acting on the preset interface by using the first determining unit to determine the vehicle type I of the vehicle in the area image. By the vehicle type determining device provided by the embodiment of the invention, the purpose that the image on the driving road of the target vehicle is sent to the application program of the preset terminal arranged on the target vehicle for display is realized, and the passenger processes the displayed image through the application program is realized, so that the technical effect of improving the intelligent degree of the vehicle is achieved, the passenger experience is also improved, and the technical problems that the intelligent degree of the vehicle is low in the related technology, the information of the road condition of the current vehicle cannot be provided for the passenger, and the passenger experience cannot be experienced by taking the vehicle are solved.
Optionally, the obtaining unit includes: the first determination module is used for determining that the target vehicle enters the running state; the first triggering module is used for triggering the image acquisition equipment on the target vehicle to acquire the area image in the preset area of the target vehicle.
Optionally, the first display unit comprises: the preprocessing module is used for responding to a trigger operation acted on a first control in a preset interface so as to preprocess the area image to obtain a preprocessed area image, wherein the preprocessing at least comprises one of the following steps: extracting characteristics and dividing regions; and the first display module is used for displaying the preprocessed area image.
Optionally, the vehicle type determination device further includes: the opening module is used for responding to the triggering operation of a preset icon in a preset terminal after the area image is displayed through a preset interface of the application program so as to open a preset application on the preset terminal; and the marking module is used for responding to a marking operation acted on a preset interface so as to mark the first vehicle image in the area image.
Optionally, the first determining unit includes: and the second determination module is used for responding to the triggering operation of a second control acting on the preset interface so as to determine that the vehicle image corresponds to the vehicle type of the vehicle.
Optionally, the vehicle type determination device further includes: the identification module is used for carrying out image identification on the area image to obtain a second vehicle image of the vehicle in the preset area; a third determining module, configured to determine, through a vehicle type identification model, a vehicle type two corresponding to the area image two, where the vehicle type identification model is obtained through machine learning training using multiple sets of training data, and each set of training data in the multiple sets of training data includes: a vehicle image and a vehicle type corresponding to the vehicle image; the judging module is used for judging whether the first vehicle type is the same as the second vehicle type to obtain a judging result; and the storage module is used for storing the vehicle image I and the vehicle type I into a preset storage medium when the judgment result shows that the vehicle type I is the same as the vehicle type II, wherein the preset storage medium stores training data used for training and testing the vehicle type identification model.
Optionally, the vehicle type determination device further includes: the monitoring module is used for monitoring a preset storage medium to obtain a monitoring result; the updating module is used for determining that the training data stored in the preset storage medium is updated to a preset value based on the monitoring result; and the acquisition module is used for acquiring the updated training data in the preset storage medium to update the vehicle type identification model.
Optionally, the vehicle type determination device further includes: and the deleting module is used for deleting the historical training data in the preset historical time period in the preset storage medium.
Example 4
According to another aspect of the embodiment of the present invention, there is also provided a vehicle type determination apparatus, and fig. 4 is a schematic view of an alternative vehicle type determination apparatus according to the embodiment of the present invention, as shown in fig. 4, the vehicle type determination apparatus including: a second display unit 41, a third display unit 43, and a second determination unit 45. The following describes an apparatus for determining the type of vehicle.
A second display unit 41 for displaying an area image within a predetermined area through a predetermined interface, wherein the predetermined area is an area associated with the position of the target vehicle.
A third display unit 43 for displaying at least one alternative vehicle type control of the vehicle within the area image at the predetermined interface.
And a second determining unit 45, configured to determine a vehicle type one of the vehicles in the area image in response to a triggering operation acting on one of the at least one candidate vehicle type control.
It should be noted here that the second display unit 41, the third display unit 43, and the second determination unit 45 correspond to steps S202 to S206 in embodiment 2, and the modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 2. It should be noted that the modules described above as part of an apparatus may be implemented in a computer system such as a set of computer-executable instructions.
As can be seen from the above, in the above-described embodiment of the present application, the second display unit may be used to display the area image within the predetermined area through the predetermined interface, where the predetermined area is an area associated with the position of the target vehicle; utilizing a third display unit to display at least one candidate vehicle type control of the vehicle in the area image on the preset interface; and responding to the triggering operation of one control of the at least one candidate vehicle type control by using a second determination unit to determine the vehicle type I of the vehicle in the area image. By the vehicle type determining device provided by the embodiment of the invention, the purpose that the image on the driving road of the target vehicle is sent to the application program of the preset terminal arranged on the target vehicle for display is realized, and the passenger processes the displayed image through the application program is realized, so that the technical effect of improving the intelligent degree of the vehicle is achieved, the passenger experience is also improved, and the technical problems that the intelligent degree of the vehicle is low in the related technology, the information of the road condition of the current vehicle cannot be provided for the passenger, and the passenger experience cannot be experienced by taking the vehicle are solved.
Example 5
According to another aspect of the embodiment of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein when the program runs, the apparatus where the storage medium is located is controlled to execute any one of the above-mentioned vehicle type determination methods.
Example 6
According to another aspect of the embodiment of the present invention, there is provided a processor for executing a program, wherein the program executes a method for determining a vehicle type according to any one of the above methods.
Example 7
According to another aspect of an embodiment of the present invention, there is also provided an autonomous vehicle including: a memory, a processor coupled to the memory, the memory and the processor communicating via a bus system; the memory is used for storing a program, wherein the program controls the equipment where the memory is located to execute any one of the above vehicle type determination methods when executed by the processor; the processor is configured to run a program, wherein the program is configured to perform any one of the above-mentioned vehicle type determination methods when executed.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (15)

1. A method of determining a type of a vehicle, comprising:
acquiring a region image within a predetermined region, wherein the predetermined region is a region associated with a position of a target vehicle;
sending the area image to an application program of a preset terminal on the target vehicle;
displaying the area image through a preset interface of the application program;
and responding to a trigger operation acted on the preset interface to determine the vehicle type I of the vehicle in the area image.
2. The method of claim 1, wherein acquiring an area image within a predetermined area comprises:
determining that the target vehicle enters an operating state;
triggering an image acquisition device on the target vehicle to acquire an area image in a predetermined area of the target vehicle.
3. The method of claim 1, wherein displaying the region image through a predetermined interface of the application program comprises:
responding to a trigger operation of a first control in the preset interface to preprocess the area image to obtain a preprocessed area image, wherein the preprocessing at least comprises one of the following steps: extracting characteristics and dividing regions;
and displaying the preprocessed area image.
4. The method of claim 1, wherein after displaying the region image through a predetermined interface of the application program, the method further comprises:
responding to a trigger operation acting on a preset icon in the preset terminal to open a preset application on the preset terminal;
and responding to the marking operation acted on the preset interface to mark a first vehicle image in the area image.
5. The method of claim 4, wherein determining the vehicle type of the vehicle within the area image in response to a triggering operation applied to the predetermined interface comprises:
and responding to a triggering operation of a second control on the preset interface to determine that the vehicle image corresponds to the vehicle type of the vehicle.
6. The method of claim 1, further comprising:
carrying out image recognition on the area image to obtain a second vehicle image of the vehicle in the preset area;
determining a second vehicle type corresponding to the second region image through a vehicle type recognition model, wherein the vehicle type recognition model is obtained through machine learning training by using multiple sets of training data, and each set of training data in the multiple sets of training data comprises: a vehicle image and a vehicle type corresponding to the vehicle image;
judging whether the first vehicle type is the same as the second vehicle type to obtain a judgment result;
and when the judgment result shows that the first vehicle type is the same as the second vehicle type, storing the first vehicle image and the first vehicle type into a preset storage medium, wherein the preset storage medium stores training data used for training and testing a vehicle type recognition model.
7. The method of claim 6, further comprising:
monitoring the preset storage medium to obtain a monitoring result;
determining that the training data stored in the predetermined storage medium is updated to a predetermined value based on the monitoring result;
and acquiring the updated training data in the preset storage medium to update the vehicle type identification model.
8. The method of claim 7, further comprising:
and deleting the historical training data in the predetermined storage medium within a predetermined historical time period.
9. A method of determining a type of a vehicle, comprising:
displaying a region image within a predetermined region through a predetermined interface, wherein the predetermined region is a region associated with a position of a target vehicle;
displaying at least one alternate vehicle type control for a vehicle within the regional image at the predetermined interface;
and responding to a trigger operation acting on one control of the at least one alternative vehicle type control to determine the vehicle type I of the vehicle in the area image.
10. A vehicle type determination device, characterized by comprising:
an acquisition unit configured to acquire an area image within a predetermined area, wherein the predetermined area is an area associated with a position of a target vehicle;
a sending unit, configured to send the area image to an application program of a predetermined terminal on the target vehicle;
a first display unit for displaying the region image through a predetermined interface of the application program;
and the first determination unit is used for responding to the trigger operation acted on the preset interface so as to determine the vehicle type I of the vehicle in the area image.
11. The apparatus of claim 10, wherein the obtaining unit comprises:
the first determination module is used for determining that the target vehicle enters the running state;
the first triggering module is used for triggering the image acquisition equipment on the target vehicle to acquire the area image in the preset area of the target vehicle.
12. A vehicle type determination device, characterized by comprising:
a second display unit for displaying an area image within a predetermined area through a predetermined interface, wherein the predetermined area is an area associated with a position of a target vehicle;
the third display unit is used for displaying at least one candidate vehicle type control of the vehicle in the area image on the preset interface;
and the second determination unit is used for responding to the triggering operation of one control of the at least one alternative vehicle type control to determine the vehicle type I of the vehicle in the area image.
13. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the apparatus in which the storage medium is located is controlled to execute the method for determining a vehicle type according to any one of claims 1 to 9 when the program is executed.
14. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the method for determining a vehicle type according to any one of claims 1 to 9 when running.
15. An autonomous vehicle, comprising:
a memory, a processor coupled with the memory, the memory and the processor communicating over a bus system;
the memory is used for storing a program, wherein the program when executed by the processor controls the device in which the memory is located to perform the method for determining a vehicle type according to any one of claims 1 to 9;
the processor is configured to execute a program, wherein the program is configured to execute the method for determining a vehicle type according to any one of claims 1 to 9.
CN202110484660.1A 2021-04-30 2021-04-30 Vehicle type determination method and device Pending CN113033496A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115633058A (en) * 2022-09-30 2023-01-20 中国第一汽车股份有限公司 Processing method and processing device for vehicle-mounted equipment

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111301404A (en) * 2020-02-06 2020-06-19 北京小马慧行科技有限公司 Vehicle control method and device, storage medium and processor
CN111325136A (en) * 2020-02-17 2020-06-23 北京小马智行科技有限公司 Method and device for labeling object in intelligent vehicle and unmanned vehicle
CN111382808A (en) * 2020-05-29 2020-07-07 浙江大华技术股份有限公司 Vehicle detection processing method and device
US20200269756A1 (en) * 2019-02-27 2020-08-27 Honda Motor Co., Ltd. Vehicle control device, vehicle control system, vehicle control method, and storage medium
CN111695483A (en) * 2020-06-05 2020-09-22 腾讯科技(深圳)有限公司 Vehicle violation detection method, device and equipment and computer storage medium
US20210122292A1 (en) * 2019-10-28 2021-04-29 Verizon Patent And Licensing Inc. Systems and methods for utilizing machine learning to identify vehicle surroundings, route conditions, and points of interest

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200269756A1 (en) * 2019-02-27 2020-08-27 Honda Motor Co., Ltd. Vehicle control device, vehicle control system, vehicle control method, and storage medium
US20210122292A1 (en) * 2019-10-28 2021-04-29 Verizon Patent And Licensing Inc. Systems and methods for utilizing machine learning to identify vehicle surroundings, route conditions, and points of interest
CN111301404A (en) * 2020-02-06 2020-06-19 北京小马慧行科技有限公司 Vehicle control method and device, storage medium and processor
CN111325136A (en) * 2020-02-17 2020-06-23 北京小马智行科技有限公司 Method and device for labeling object in intelligent vehicle and unmanned vehicle
CN111382808A (en) * 2020-05-29 2020-07-07 浙江大华技术股份有限公司 Vehicle detection processing method and device
CN111695483A (en) * 2020-06-05 2020-09-22 腾讯科技(深圳)有限公司 Vehicle violation detection method, device and equipment and computer storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115633058A (en) * 2022-09-30 2023-01-20 中国第一汽车股份有限公司 Processing method and processing device for vehicle-mounted equipment

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