CN110610613A - Method and device for detecting vehicle driven by juveniles - Google Patents
Method and device for detecting vehicle driven by juveniles Download PDFInfo
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- CN110610613A CN110610613A CN201810614846.2A CN201810614846A CN110610613A CN 110610613 A CN110610613 A CN 110610613A CN 201810614846 A CN201810614846 A CN 201810614846A CN 110610613 A CN110610613 A CN 110610613A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
Abstract
The application provides a method and a device for detecting that a minor drives a vehicle, wherein the method comprises the following steps: monitoring whether the behavior of driving the vehicle by the juveniles exists in the current road monitoring image; and if the current vehicle driving behavior exists, outputting prompting information of the behavior of driving the vehicle by the minors. According to the scheme, the behaviors of automatically detecting the vehicles driven by minors are realized through the road monitoring images in the road monitoring process, the time and the energy of manual screening are saved, the scheme can be used in traffic bayonets and electric police scenes, the traffic department and the public security department can be effectively assisted to manage the behaviors, traffic accidents are prevented, and the difficulty of installing cameras on each vehicle can be avoided.
Description
Technical Field
The application relates to the technical field of image processing, in particular to a method and a device for detecting vehicles driven by minors.
Background
At present, in public transport, the phenomenon that minors drive vehicles (such as motorcycles, electric vehicles and automobiles) is very common, and as the mind of the minors is not mature, traffic accidents are easily caused, and the public transport safety is harmed. In the current road monitoring system, the road monitoring image which is captured by the capturing device is screened out by a manual screening mode, wherein the road monitoring image is obtained by screening a driver of a minor, and the manual screening mode consumes a large amount of time and energy and cannot meet the requirements of relevant government departments.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for detecting a vehicle driven by a minor, so as to solve the problem that the existing implementation manner consumes a lot of time and energy.
According to a first aspect of embodiments of the present application, there is provided a method of detecting that a minor is driving a vehicle, the method comprising:
monitoring whether the behavior of driving the vehicle by the juveniles exists in the current road monitoring image;
and if the current vehicle driving behavior exists, outputting prompting information of the behavior of driving the vehicle by the minors.
According to a second aspect of embodiments of the present application, there is provided a detection apparatus for minor driving a vehicle, the apparatus comprising:
the monitoring unit is used for monitoring whether the behavior of driving the vehicle by the juveniles exists in the current road monitoring image;
and the prompting unit is used for outputting prompting information of the behavior of the vehicle driven by the minors when the behavior of the vehicle driven by the minors is monitored.
According to a third aspect of embodiments herein there is provided an electronic device comprising a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor being caused by the machine-executable instructions to perform steps of a method of detecting minor-driven vehicles.
According to a fourth aspect of embodiments herein, there is provided a readable storage medium having stored therein computer instructions which, when executed, implement the steps of a method of detecting minor driven vehicles.
By applying the embodiment of the application, whether the behavior of driving the vehicle by the minors exists or not is monitored by utilizing the road monitoring image in the road monitoring process, the behavior of driving the vehicle by the minors is automatically detected, the time and the energy of manual screening are saved, the scheme can be used in traffic checkpoints and electric police scenes, the traffic department and the public security department can be effectively assisted to manage the behaviors, the traffic accidents are prevented, and the difficulty of installing a camera on each vehicle can be avoided.
Drawings
FIG. 1A is a flow chart illustrating an embodiment of a method for detecting minor driven vehicles according to an exemplary embodiment of the present application;
FIG. 1B is a schematic view of a road monitoring system for a minor driven vehicle according to the embodiment of FIG. 1A;
FIG. 1C is a schematic view of a road monitoring system for a minor driven electric vehicle according to the embodiment of FIG. 1A;
FIG. 2A is a flow chart illustrating an embodiment of another method for detecting minor-driven vehicles according to an exemplary embodiment of the present application;
FIG. 2B is a head area view of a rider of a motorcycle shown in accordance with the embodiment of FIG. 2A;
FIG. 2C is a front and rear expanded head area view of a rider of a motorcycle according to the embodiment of FIG. 2A;
FIG. 2D is a pre-and post-expansion head area view of a driver of a passenger vehicle according to the embodiment of FIG. 2A;
FIG. 3 is a hardware block diagram of a processing device according to an exemplary embodiment of the present application;
FIG. 4 is a block diagram of an embodiment of a detection device for minor driving of a vehicle according to an exemplary embodiment of the present application;
fig. 5 is a block diagram of another embodiment of a detecting device for minor driving of a vehicle according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In order to prevent a minor from driving a vehicle, in the related art, a camera is installed at a driver position of a car for capturing an image of the driver, and then whether the driver in the image is a minor is identified and judged, and in the case where the driver is judged to be a minor, alarm information is issued. However, this detection method requires a camera to be installed on each vehicle, and in practical application, it is difficult to implement. And for non-motor vehicles (such as motorcycles and electric vehicles), the detection of driving of vehicles by minors cannot be realized by installing a camera. According to the method and the device, whether the behavior of driving the vehicle by the minors exists or not is analyzed through the captured road monitoring image in the road monitoring process, the detection of driving the vehicle by the minors is realized, the difficulty of mounting a camera on each vehicle is avoided, and meanwhile, the driver of the non-motor vehicle can be identified. The following is a detailed description of how to analyze whether there is a behavior of a minor driving vehicle through a road monitoring image:
fig. 1A is a flowchart illustrating an embodiment of a method for detecting a vehicle driven by a minor person according to an exemplary embodiment of the present application, where the embodiment may be applied to an electronic device (e.g., a PC), and a processing device in the embodiment of the present application is located in a road monitoring system and may receive a road monitoring image sent by a monitoring device. As shown in fig. 1A, the method for detecting the minor driving of a vehicle includes the steps of:
step 101: monitoring whether the behavior of driving the vehicle by the juveniles exists in the current road monitoring image; if yes, go to step 102, and if not, go to step 103.
In an embodiment, since the processing device can receive the road monitoring images captured by the monitoring device in real time, it is possible to monitor whether there is a behavior of driving a vehicle by a minor for each frame of road monitoring image according to the receiving sequence.
The vehicle in the road monitoring image may be a motor vehicle (e.g., an automobile, a passenger car, etc.) or a non-motor vehicle (e.g., a motorcycle, a bicycle, an electric vehicle, etc.), the vehicle in the road monitoring image shown in fig. 1B is a motor vehicle, and the driver in the vehicle is a minor, the vehicle in the road monitoring image shown in fig. 1C is a non-motor vehicle, and the driver in the vehicle is a minor.
For an example of how to monitor whether there is a behavior of driving a vehicle by a minor in a current road monitoring image, reference may be made to the following description of the embodiment shown in fig. 2A, which is not described in detail herein.
Step 102: and outputting prompt information of the behavior of the minor driving the vehicle.
In one embodiment, if the fact that the behavior of driving the vehicle by the minor exists in the current road monitoring image is monitored, the processing device can output prompt information of the behavior of driving the vehicle by the minor in a voice mode; or the prompting information of the vehicle driving behavior of the minor can be output in a text form.
Further, the processing device can also independently display the current road monitoring image while outputting the prompt information, so that the current road monitoring image can be conveniently viewed by a manager.
Step 103: the next road monitoring image is acquired and the process of step 101 is returned to.
In the embodiment, whether the behavior of driving the vehicle by the minors exists or not is monitored by using the road monitoring image in the road monitoring process, so that the behavior of driving the vehicle by the minors is automatically detected, the time and the energy of manual screening are saved, the scheme can be used in traffic checkpoints and electric police scenes, can effectively assist traffic departments and public security departments in managing the behaviors, prevents traffic accidents, and can avoid the difficulty of mounting a camera on each vehicle.
Fig. 2A is a flowchart illustrating an embodiment of another method for detecting a vehicle driven by a minor person according to an exemplary embodiment of the present application, where the present embodiment uses the method provided in the foregoing embodiment to exemplarily describe how to monitor whether a behavior of a vehicle driven by a minor person exists in a current road monitoring image, and the method for detecting a vehicle driven by a minor person includes the following steps:
step 201: when the fact that the vehicle driving behaviors exist in the current road monitoring image is monitored, the current road monitoring image is input into a first neural network, and the head area of a vehicle driver is identified by the first neural network.
In one embodiment, the processing device may monitor whether there is a vehicle driving behavior by detecting a vehicle in the current road monitoring image. In addition, in order to avoid a problem that the detected vehicle is too small, which results in subsequent failure to recognize the head region of the driver, it may be further determined whether the detected vehicle is valid. Specifically, if the size of the detected vehicle is larger than a certain threshold, the detected vehicle is determined to be valid, and it is determined that the driving behavior of the vehicle exists in the monitored current road image, otherwise, the detected vehicle is determined to be invalid, and the current processing flow is ended.
In one embodiment, the processing device may identify the head region of the driver by the first neural network by inputting the current road monitoring image into the first neural network.
The type of the first Neural network may be CNN (Convolutional Neural network), which may include network layers such as a first computing layer, a second computing layer, and the like, for example, a type of a vehicle (whether the vehicle is an automobile or a non-automobile) is identified through one of the computing layers, and then a head region (region of interest) of a driver of the vehicle is identified through another computing layer based on the type of the vehicle.
In one embodiment, after the head region of the driver is identified, it may be further determined whether the head region is valid. Specifically, if the height and width of the head region are greater than the height threshold (height _ thresh) and the width threshold (width _ thresh), respectively, the identified head region is determined to be valid, step 202 is performed, otherwise, the identified head region is determined to be invalid, and the current process flow is ended.
In an exemplary scenario, the vehicle in the road monitoring image shown in fig. 2B is a non-motor vehicle (motorcycle in the dashed box), and the identified head region of the driver of the vehicle is shown in the solid box.
Step 202: judging whether the driver of the vehicle is a minor or not according to the head area; if so, go to step 203, otherwise, go to step 204.
In an embodiment, the processing device may extend the identified head region of the vehicle driver, intercept an image corresponding to the extended head region in the current road monitoring image, input the intercepted image into a second neural network trained in advance, determine that the vehicle driver is a minor if an output result of the second neural network indicates a minor, and determine that the vehicle driver is an adult if the output result of the second neural network indicates an adult. The mode of identifying whether the vehicle driver is a minor or not by utilizing the second neural network can ensure the accuracy of the identification result.
The second neural network may also be a CNN, and may also include network layers such as a first computation layer and a second computation layer, and one of the computation layers is used to determine whether the vehicle driver is an adult or a minor. In order to avoid the narrow head region of the driver recognized in step 201, which does not completely include the facial information of the driver, the head region may be extended to ensure the accuracy of the second neural network recognition. The following is a detailed description of an example:
as shown in fig. 2C, the head area of the driver of the non-motor motorcycle is schematically shown, the width and height of the head area of the driver before expansion are width and height, respectively, and the head area is expanded by expansion coefficients b and C, respectively: the expanded head region has a width dist _ w ═ b width and a height dist _ h ═ c height. The expansion coefficients b and c may be set based on practical experience. As shown in fig. 2D, the head area of the driver of the passenger vehicle is schematically shown, and the expansion process is as described above, the width and height of the head area of the driver before the expansion are respectively width and height, and the width and height of the head area after the expansion are respectively dist _ w and dist _ h.
In an embodiment, for a process of training a second neural network in advance, the processing device may acquire a first type of image, where the first type of image is an image in which a behavior of a juvenile driving vehicle exists, and in the first type of image, intercept an image corresponding to a head region of a vehicle driver, and determine the intercepted image as a positive sample; and finally, training a training model of the second neural network by using the positive sample and the negative sample to obtain the second neural network for identifying whether the vehicle driver is a minor.
The number of the first type images and the second type images can be selected according to actual requirements, and the captured images corresponding to the head area of the vehicle driver are the images of the head area after expansion.
It should be noted that, the first neural network and the second neural network may also be cascaded into a neural network, that is, after the current road monitoring image is input into the cascaded neural network, the result of whether the vehicle driver is a minor or an adult is output by the cascaded neural network.
Step 203: and determining that the behavior of driving the vehicle by the minors exists in the current road monitoring image.
Step 204: and determining that the behavior of driving the vehicle by the minor does not exist in the current road monitoring image.
In this embodiment, when it is monitored that a vehicle driving behavior exists in the current road monitoring image, the current road monitoring image is input to the first neural network, the head region of the vehicle driver is identified by the first neural network, and whether the vehicle driver is a minor is determined according to the identified head region, if so, it is determined that the vehicle driving behavior of the minor exists in the current road monitoring image, and if not, it is determined that the vehicle driving behavior of the minor does not exist in the current road monitoring image. According to the method and the device, whether the behavior of driving the vehicle by the minors exists is determined through the head area of the vehicle driver corresponding to the road monitoring image instead of the whole image, so that the calculation amount is small, and the detection speed can be improved.
Fig. 3 is a diagram illustrating a hardware architecture of an electronic device according to an exemplary embodiment of the present application, the electronic device including: a communication interface 301, a processor 302, a machine-readable storage medium 303, and a bus 304; wherein the communication interface 301, the processor 302, and the machine-readable storage medium 303 communicate with each other via a bus 304. The processor 302 may perform the above-described detection method of a vehicle driven by a minor by reading and executing machine-executable instructions in the machine-readable storage medium 302 corresponding to control logic of the detection method of a vehicle driven by a minor, the details of which are described in the above embodiments and will not be described again here.
The machine-readable storage medium 303 referred to herein may be any electronic, magnetic, optical, or other physical storage device that can contain or store information such as executable instructions, data, and the like. For example, the machine-readable storage medium may be: a RAM (random Access Memory), a volatile Memory, a non-volatile Memory, a flash Memory, a storage drive (e.g., a hard drive), any type of storage disk (e.g., an optical disk, a dvd, etc.), or similar storage medium, or a combination thereof.
Further, the electronic device may be a variety of terminal or backend devices, such as a camera, server, mobile phone, Personal Digital Assistant (PDA), mobile audio or video player, game console, Global Positioning System (GPS) receiver, or portable storage device such as a Universal Serial Bus (USB) flash drive, to name a few.
Fig. 4 is a block diagram of an embodiment of a detecting apparatus for a vehicle driven by a minor according to an exemplary embodiment of the present application, where the embodiment of the apparatus can be applied to an electronic device, as shown in fig. 4, the detecting apparatus for a vehicle driven by a minor includes:
a monitoring unit 41 for monitoring whether a behavior of driving a vehicle by a minor exists in a current road monitoring image;
and the prompting unit 42 is used for outputting prompting information of the behavior of the vehicle driven by the minors when the behavior of the vehicle driven by the minors is monitored.
Fig. 5 is a block diagram of another embodiment of a detecting device for detecting minor-driven vehicles according to an exemplary embodiment of the present application, and based on the embodiment shown in fig. 4, as shown in fig. 5, the monitoring unit 41 includes:
the identifying subunit 411 is configured to, when it is monitored that a vehicle driving behavior exists in the current road monitoring image, input the current road monitoring image into a first neural network, and identify a head area of a vehicle driver by the first neural network;
a determining subunit 412, configured to determine whether the vehicle driver is a minor according to the head region;
a first determining subunit 413 configured to determine that there is a behavior of the minor driving the vehicle in the current road monitoring image, when it is determined that the vehicle driver is the minor;
a second determining subunit 414, configured to determine that there is no behavior of the minor driving the vehicle in the current road monitoring image, when it is determined that the vehicle driver is not a minor.
In an optional implementation manner, the determining subunit 412 is specifically configured to expand a head area of the identified vehicle driver; intercepting an image corresponding to the expanded head area from the current road monitoring image; inputting the intercepted image into a second neural network obtained by pre-training; determining that the vehicle driver is a minor if the output of the second neural network indicates a minor; determining that the vehicle driver is an adult if the output of the second neural network indicates an adult.
In an alternative implementation, the apparatus further comprises (not shown in fig. 5):
the training unit is specifically used for acquiring a first type of image, wherein the first type of image is an image of the behavior of a minor driving vehicle; in the first type of images, capturing images corresponding to the head area of a vehicle driver, and determining the captured images as positive samples; acquiring a second type of image, wherein the second type of image is an image without the behavior of driving a vehicle by a minor; in the second type of image, intercepting an image corresponding to a head area of a vehicle driver, and determining the intercepted image as a negative sample; and training the training model of the second neural network by using the positive sample and the negative sample to obtain the second neural network for identifying whether the vehicle driver is a minor.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and 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 network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
The present application also provides a readable storage medium, in which computer instructions are stored, and when executed, the computer instructions implement the steps of the method for detecting vehicle driving by a minor.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A method of detecting the driving of a vehicle by a minor, the method comprising:
monitoring whether the behavior of driving the vehicle by the juveniles exists in the current road monitoring image;
and if the current vehicle driving behavior exists, outputting prompting information of the behavior of driving the vehicle by the minors.
2. The method of claim 1, wherein monitoring the current road monitoring image for the presence of a minor driving vehicle comprises:
when the vehicle driving behavior is monitored to exist in the current road monitoring image, the current road monitoring image is input into a first neural network, and the head area of a vehicle driver is identified by the first neural network;
judging whether the vehicle driver is a minor or not according to the head area;
if yes, determining that the behavior of driving the vehicle by the juveniles exists in the current road monitoring image;
if not, determining that the behavior of driving the vehicle by the minor does not exist in the current road monitoring image.
3. The method of claim 2, wherein determining whether the vehicle driver is a minor based on the head region comprises:
extending the head area of the identified vehicle driver;
intercepting an image corresponding to the expanded head area from the current road monitoring image;
inputting the intercepted image into a second neural network obtained by pre-training;
determining that the vehicle driver is a minor if the output of the second neural network indicates a minor;
determining that the vehicle driver is an adult if the output of the second neural network indicates an adult.
4. The method of claim 3, wherein pre-training a second neural network comprises:
acquiring a first type of image, wherein the first type of image is an image of the behavior of a minor driving vehicle;
in the first type of images, capturing images corresponding to the head area of a vehicle driver, and determining the captured images as positive samples;
acquiring a second type of image, wherein the second type of image is an image without the behavior of driving a vehicle by a minor;
in the second type of image, intercepting an image corresponding to a head area of a vehicle driver, and determining the intercepted image as a negative sample;
and training the training model of the second neural network by using the positive sample and the negative sample to obtain the second neural network for identifying whether the vehicle driver is a minor.
5. A device for detecting the driving of a vehicle by a minor, the device comprising:
the monitoring unit is used for monitoring whether the behavior of driving the vehicle by the juveniles exists in the current road monitoring image;
and the prompting unit is used for outputting prompting information of the behavior of the vehicle driven by the minors when the behavior of the vehicle driven by the minors is monitored.
6. The apparatus of claim 5, wherein the monitoring unit comprises:
the system comprises an identification subunit, a first neural network and a second neural network, wherein the identification subunit is used for inputting a current road monitoring image into the first neural network when the vehicle driving behavior is monitored to exist in the current road monitoring image, and the first neural network is used for identifying the head area of a vehicle driver;
the judging subunit is used for judging whether the vehicle driver is a minor or not according to the head area;
a first determining subunit, configured to determine that a behavior of driving the vehicle by the minor exists in the current road monitoring image, when it is determined that the vehicle driver is the minor;
and a second determining subunit, configured to determine that there is no behavior of the minor driving the vehicle in the current road monitoring image, when it is determined that the vehicle driver is not a minor.
7. The apparatus of claim 6,
the judging subunit is specifically configured to expand a head region of the identified vehicle driver; intercepting an image corresponding to the expanded head area from the current road monitoring image; inputting the intercepted image into a second neural network obtained by pre-training; determining that the vehicle driver is a minor if the output in the second neural network indicates a minor; determining that the vehicle driver is an adult if the output in the second neural network indicates an adult.
8. The apparatus of claim 7, further comprising:
the training unit is specifically used for acquiring a first type of image, wherein the first type of image is an image of the behavior of a minor driving vehicle; in the first type of images, capturing images corresponding to the head area of a vehicle driver, and determining the captured images as positive samples; acquiring a second type of image, wherein the second type of image is an image without the behavior of driving a vehicle by a minor; in the second type of image, intercepting an image corresponding to a head area of a vehicle driver, and determining the intercepted image as a negative sample; and training a training model in the second neural network by using the positive sample and the negative sample to obtain the second neural network for identifying whether the vehicle driver is a minor.
9. An electronic device comprising a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor being caused by the machine-executable instructions to perform the method of any one of claims 1 to 4.
10. A readable storage medium, wherein computer instructions are stored, and when executed, implement the steps of the method of claims 1-4.
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| CN201810614846.2A CN110610613A (en) | 2018-06-14 | 2018-06-14 | Method and device for detecting vehicle driven by juveniles |
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Application publication date: 20191224 |