KR20210120647A - Real-time dangerous vehicle tracking system and tracking method - Google Patents

Abstract

The present invention relates to a real-time vehicle tracking method. According to an embodiment of the present invention, the real-time vehicle tracking method comprises: a step of receiving vehicle information including a vehicle number and location information of a second vehicle extracted from an image photographed by a first vehicle from the first vehicle; a step of determining whether the second vehicle is a wanted vehicle; a step of registering the second vehicle as a dangerous vehicle in a dangerous vehicle database (DB) if the second vehicle is the wanted vehicle; and a step of updating location information of the second vehicle every time receiving vehicle information of the second vehicle from one or more vehicles among the first vehicle or a plurality of vehicles.

Description

Real-time dangerous vehicle tracking system and tracking method

The present invention relates to a tracking system and tracking method for tracking a dangerous vehicle on a road in real time, and more particularly, it is possible to identify various types of dangerous vehicles such as wanted vehicles, drunk driving vehicles, and drowsy driving vehicles and determine the real-time location. It relates to a real-time tracking system and tracking method for dangerous vehicles.

Recently, as the number of vehicles increases, vehicle-related incidents and accidents are also becoming very diverse. In particular, violent crimes committed using stolen vehicles are occurring. In order to quickly track the stolen vehicle, a system or device is being developed to check whether the vehicle is a wanted vehicle, such as a criminal or stolen vehicle, by inquiring the license plate of the vehicle.

However, in the prior art, because the driver manually manipulates the camera to shoot or shoot at a fixed period, it was not possible to quickly photograph a dangerous vehicle when a dangerous vehicle is around. There was a limit that could not be tracked including dangerous vehicles.

In addition, since the conventional tracking system only notifies the National Police Agency when a wanted vehicle is found, the method of notifying the vehicles adjacent to the wanted vehicle so that the adjacent vehicles avoid the wanted vehicle and promoting the safety of the driver and passengers was not considered.

Patent Document 1: Korean Patent Publication No. 2004-0028456 (published on April 3, 2004) Patent Document 2: Korean Patent Publication No. 2014-0027697 (published on March 7, 2014)

The present invention has been proposed to solve the problems of the prior art, and it is a dangerous vehicle real-time tracking system that can track various types of dangerous vehicles such as wanted vehicles, drowsy driving vehicles, drunk driving vehicles, and traffic law violation vehicles in real time. intended to provide

According to an embodiment of the present invention, there is provided a vehicle real-time tracking method, comprising: receiving, from a first vehicle, vehicle information including at least the vehicle number and location information of a second vehicle extracted from an image photographed by the first vehicle; determining whether the second vehicle is a wanted vehicle; registering the second vehicle as a dangerous vehicle in a dangerous vehicle database (DB) when the second vehicle is a wanted vehicle; and updating the location information of the second vehicle whenever vehicle information of the second vehicle is received from the first vehicle or one or more of a plurality of other vehicles. to start

According to an embodiment of the present invention, a computer program for executing a vehicle real-time tracking method is recorded on a computer-readable recording medium, wherein the vehicle real-time tracking method includes a second photographed by the first vehicle from a first vehicle. Receiving an image or image of the vehicle and location information; extracting the license plate number of the second vehicle from the image or image; determining whether the second vehicle is a wanted vehicle; registering the second vehicle as a dangerous vehicle in a dangerous vehicle database (DB) when the second vehicle is a wanted vehicle; and updating the location information of the second vehicle whenever vehicle information of the second vehicle is received from the first vehicle or one or more of a plurality of other vehicles. Start the media.

According to one embodiment of the present invention, various types of dangerous vehicles such as wanted vehicles, drowsy driving vehicles, drunk driving vehicles, and traffic violation vehicles can be tracked in real time, and when a dangerous vehicle is found, it is not only simply notified to the police station or public institution. However, it has a technical effect of providing alarm information according to the distance from the dangerous vehicle to vehicles around the dangerous vehicle.

In addition, according to an embodiment of the present invention, the resource of each vehicle's vehicle information collection terminal is efficiently operated by configuring the collection period for photographing a nearby vehicle and transmitting the vehicle information to the tracking system according to the distance from the dangerous vehicle. At the same time, it has the effect of tracking the real-time location of dangerous vehicles more accurately and quickly.

1 is a view for explaining a dangerous vehicle real-time tracking system according to an embodiment of the present invention;
2 is a view for explaining the function of a dangerous vehicle real-time tracking system according to an embodiment;
3 is a view for explaining a dangerous vehicle database and an information providing vehicle database according to an embodiment;
4 is a flowchart illustrating a method for real-time tracking of a dangerous vehicle according to an embodiment;
5 is a flowchart illustrating a method for notifying dangerous vehicle information according to an embodiment;
6 is a flowchart illustrating a method for changing a collection period according to an embodiment.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. The embodiments introduced herein are provided so that the disclosed content may be thorough and complete, and the spirit of the present invention may be sufficiently conveyed to those skilled in the art.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. As used herein, the singular also includes the plural unless specifically stated otherwise in the phrase. The expressions 'comprising', 'consisting of', and 'consisting of' as used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated elements.

As used herein, the term 'software' refers to a technology that moves hardware in a computer, and the term 'hardware' refers to a tangible device or device (CPU, memory, input device, output device, peripheral device, etc.) constituting the computer. and the term 'step' means a series of processing or manipulations connected in a time series to achieve a predetermined goal, the term 'program' or 'app' means a set of instructions that are combined to be processed by a computer, and the term ' 'Program recording medium' means a computer-readable recording medium in which a program or application used to install, execute, or distribute a program or application is recorded.

In the present specification, the term 'management' of data or information may be used to include at least one of receiving, transmitting, storing, modifying, and deleting data or information. Terms such as '~ unit', '~ module', '~ unit', '~ block', and '~ board' used in this specification to refer to the elements of the invention are used to refer to at least one function or operation. It may mean a physical, functional, or logical unit, which may be implemented as one or more hardware, software, or firmware, or may be implemented as a combination of one or more hardware, software, and/or firmware.

As used herein, a 'computer' or 'computing device' refers to an operating system such as Windows, Mac, or Linux, a computer processor, memory, applications, a storage device (eg HDD, SDD), and a device having a monitor. can be The computer may be, for example, a desktop computer or a notebook computer, but these are exemplary and the present invention is not limited to a desktop computer or notebook computer. The mobile terminal may be one of a smart phone, a tablet PC, or a mobile wireless communication device such as a PDA.

In this specification, the term 'computer-readable recording medium' may be a semiconductor memory device using an integrated circuit (IC), a magnetic memory device using a magnetic recording method, and/or an optical memory device using an optical disk. In addition, the 'computer-readable recording medium' is installed in a computer that reads the recording medium directly, or connected to the computer by wire or wirelessly, or a communication network (eg, wide area network (WAN), metropolitan area network (MAN)) , a local area network (LAN), and/or a personal network (PAN)).

In the present specification, that component 'A' transmits any signal, data or information to component 'B' means that component A directly transmits to component B or component A transmits any signal, data, or information to component B through at least one other component. It is used in the meaning of including transmission to component B.

As used herein, that component A and component B are 'operatively' related to (or connected to) each other means that component A and B are wired and/or wirelessly connected to each other to transmit and/or receive data. can mean

Hereinafter, the present invention will be described in detail with reference to the drawings. In describing the specific embodiments below, various specific contents have been prepared to more specifically describe the invention and help understanding. However, a reader having enough knowledge in this field to understand the present invention may recognize that it may be used without these various specific details. In some cases, it is mentioned in advance that parts that are commonly known and not largely related to the invention in describing the invention are not described in order to avoid confusion in describing the invention.

1 is for explaining a dangerous vehicle real-time tracking system (hereinafter simply referred to as a "tracking system") according to an embodiment of the present invention, and shows some of the components operatively connected to the tracking system.

Referring to the drawings, a dangerous vehicle real-time tracking system 100 according to an embodiment of the present invention operates a driver assistance system (ADAS) operating system 60 , a public institution system 70 , and a navigation system through a network 50 . It is connected to communicate with the system 80 and may also be connected to communicate directly or indirectly with a plurality of vehicles 10 , 30 , 40 . Here, the network 50 refers to any communication network capable of communication through a wired/wireless network, such as a mobile communication network or an Internet network.

The vehicle 10 indicated by "A" in the drawing (hereinafter also referred to as "first vehicle") includes the vehicle information collection terminal 11 and the camera 12 according to the present invention. The camera 12 is a device capable of photographing a moving image or photographing a still image in the front or rear, left or right direction of the vehicle 10 . For example, the camera 12 may photograph the second vehicle 20 that is driving in front of the first vehicle 10 and marked with “B”. The camera 12 may be implemented as, for example, a black box installed in a vehicle, a dashboard camera, an IP camera, or the like, or may be implemented as a camera embedded in a smartphone or portable device possessed by the vehicle driver.

The vehicle information collection terminal 11 may identify the license plate of the vehicle from the video or still image captured by the camera 12 and extract the vehicle number. For example, the vehicle information collection terminal 11 may be a device in which a known automatic license plate recognition (ALPR) program is built-in. The vehicle information collection terminal 11 may transmit vehicle information including the vehicle number extracted in this way to the dangerous vehicle real-time tracking system 100 through the network 50 . In this case, "vehicle information" includes, for example, vehicle number and location information. The vehicle number is extracted from the image or still image taken by the camera 12, and the location information is obtained by, for example, the vehicle information collection terminal 11, the camera 12, or the first vehicle 10 by receiving the GPS signal from the satellite. It may be GPS data. That is, when a GPS receiver is provided in any one of the vehicle information collection terminal 11 , the camera 12 , or the first vehicle 10 , the location information is calculated by the GPS receiver.

In an alternative embodiment, the vehicle information may further include other additional information such as the type and color of the vehicle. The information on the vehicle type includes, for example, information indicating which type of type is classified as a car, truck, bus, motorcycle, etc., and an image or still image captured by the vehicle information collection terminal 11 by the camera 12 It can be obtained by reading the vehicle model of the second vehicle. In an alternative embodiment, the information about the vehicle type may further include information about the model of the vehicle (eg, a model name such as “Granger” or “Sonata”). The vehicle color may also be obtained by, for example, the vehicle information collection terminal 11 analyzing the captured image or image of the camera 12, and is not limited to such an acquisition method.

In an embodiment, the vehicle information collection terminal 11 may be implemented as a dedicated hardware device installed in a vehicle, or may be implemented as a portable terminal such as a smart phone or a tablet PC executable in the vehicle. Also, the vehicle information collection terminal 11 and the camera 12 may be integrally implemented.

In an alternative embodiment, the vehicle information collection terminal 11 may not have a function of extracting a vehicle number from a video or a still image. In this case, the vehicle information collection terminal 11 may transmit the captured image or still image to the dangerous vehicle real-time tracking system 100 , and the vehicle number extraction operation may be performed in the dangerous vehicle real-time tracking system 100 .

In one embodiment, the vehicle 30 indicated by "C" in the drawing (hereinafter also referred to as "third vehicle") is a vehicle equipped with a driver assistance system (ADAS) 31 and capable of communicating with the ADAS operating system 60 . In one embodiment, the ADAS 31 not only has the functions of a general ADAS such as forward collision warning and lane departure warning, but also actively monitors the driver's driving attitude or driving state to actively monitor the driver's driving attitude or driving state, and thus a vehicle equipped with this system (that is, the vehicle It is assumed that the 3 vehicle 30) also includes a function for identifying whether the vehicle violates traffic laws, whether drunk driving or drowsy driving. In this case, the ADAS 31 may transmit information about the third vehicle 30 to the ADAS operating system 60 when it is determined that the third vehicle 30 is a dangerous vehicle corresponding to traffic law violation, drowsy driving, and/or drunk driving.

ADAS operating system 60 periodically or non-periodically receives information about the driving status of each of these vehicles from a plurality of vehicles communicatively connected to the operating system 60, and if any vehicle violates traffic laws, Upon receiving information that is a dangerous vehicle corresponding to drowsy driving and/or drunk driving, vehicle information on the corresponding vehicle may be transmitted to the dangerous vehicle real-time tracking system 100 . In this case, the transmitted vehicle information may include, for example, vehicle number, location information, and information on the type of risk (eg, whether the vehicle is in violation of traffic laws, drowsy driving, or drunk driving), and additionally It may further include vehicle type or vehicle color information.

The vehicle 40 (hereinafter also referred to as "fourth vehicle") indicated by "D" in the drawing is a vehicle equipped with the navigation device 41 and capable of communicating with the navigation operating system 80 . In one embodiment, the navigation 41 not only has the function of a normal navigation device, but also displays the vehicle identified as a dangerous vehicle on the navigation screen or sends an alarm sound and avoids the dangerous vehicle in the present invention as an alternative to the driver. It may further include a function of suggesting a route.

The public institution system 70 is a public institution that has built a database for determining whether or not a dangerous vehicle is present. For example, if you want to track whether the second vehicle 20 photographed by the first vehicle 10 is a crime vehicle, a stolen vehicle, or a non-tax vehicle, etc., the public institution system 70 is such It may be a public institution, such as the National Police Agency, a road traffic control office, a tax office, a wanted vehicle search system (WASS) operating institution, etc. having a database about dangerous vehicles, and each of these public institution systems 70 provides information on dangerous vehicles such as wanted vehicles. may be periodically or aperiodically transmitted to the dangerous vehicle real-time tracking system 100 .

Meanwhile, in the drawings, for convenience of explanation, the vehicle information collection terminal 11 , the ADAS 31 , and the navigation device 41 are illustrated as being installed in separate vehicles 10 , 30 , and 40 , but in actual implementation of the present invention Of course, at least two or more of the respective components 11, 31, and 41 may be provided for each vehicle. For example, the vehicle information collection terminal 11 and the ADAS 31 may be mounted on the first vehicle 10 , and the vehicle information collection terminal 11 and the navigation system 41 may be mounted on the fourth vehicle 40 . will understand In addition, in the present specification, the term 'vehicle' is not limited to a passenger car and is used to encompass any means of transportation such as a passenger car, a taxi, a bus, a truck, a motorcycle, a bicycle, and a special vehicle such as a police car, an ambulance, or a fire engine.

2 is a block diagram illustrating exemplary functions of the dangerous vehicle real-time tracking system 100 according to an embodiment. In an embodiment, the dangerous vehicle real-time tracking system 100 includes a server device 110 and a database 120 . The server device 110 may include a vehicle number comparison unit 111 , a real-time location calculation unit 112 , a collection cycle control unit 113 , and a dangerous vehicle notification unit 114 , and the server 120 is a wanted vehicle database (DB) 121 , a dangerous vehicle DB 122 , and an information providing vehicle DB 123 may be included.

The vehicle number comparison unit 111 compares the vehicle number with the wanted vehicle list stored in the wanted vehicle DB 121 to determine whether the vehicle is a wanted vehicle. For example, when the tracking system 100 receives vehicle information about the second vehicle 20 from the first vehicle 10, it is determined whether the vehicle number of the second vehicle 20 is in the wanted vehicle list You can check the vehicle. At this time, the wanted vehicle DB 121 stores a wanted vehicle list periodically or non-periodically received from the public institution system 70 such as the National Police Agency or WASS operating organization.

In an alternative embodiment, when the vehicle information collection terminal 11 of the first vehicle 10 does not have a function of extracting a license plate number from an image or a still image, the tracking system 100 receives the image from the first vehicle 10 . However, the still image is received, and the vehicle number comparison unit 111 may also perform an operation of extracting a vehicle number from the received image or still image.

The real-time location calculation unit 112 updates the dangerous vehicle DB 122 by registering information of each dangerous vehicle in the dangerous vehicle DB 122 for vehicles identified as dangerous vehicles, such as wanted vehicles, and calculating the real-time location. .

The dangerous vehicle DB 122 may include, for example, information as shown in FIG. 3(a). In the embodiment of FIG. 3 ( a ), the dangerous vehicle DB 122 may store vehicle information including vehicle numbers, vehicle types, vehicle colors, dangerous types, and locations of vehicles registered as dangerous vehicles. The vehicle type includes information indicating which type of vehicle the vehicle is classified as a passenger car, a truck, a bus, a motorcycle, and the like, and may alternatively further include a model name of the vehicle. The information on the vehicle type and vehicle color may be obtained from the vehicle information collection terminal 11 of the first vehicle 10 or may be obtained from the public institution system 70 .

In the illustrated embodiment, there are four types of danger, namely, a wanted vehicle, a drunk driving vehicle, a law-violating vehicle, and a drowsy driving vehicle. When the vehicle number comparison unit 111 compares the wanted vehicle DB 121 and identifies the wanted vehicle, the dangerous type is registered as a 'wanted vehicle'. The remaining dangerous types, that is, drunk driving vehicle, law-violating vehicle, and drowsy driving vehicle may be information included in the information about the dangerous vehicle received from the ADAS operating system 60 . For example, in the third vehicle 30 equipped with the ADAS 31, if the ADAS 31 determines that the vehicle 30 is a drunk driving vehicle, the vehicle information of the third vehicle 30, location information, and ' Dangerous type information classified as 'drunk driving vehicle' is transmitted to the tracking system 100 through the ADAS operating system 60 . Therefore, when the tracking system 100 registers this vehicle in the dangerous vehicle DB 122, the dangerous type may be set and stored as 'drunk driving vehicle'. However, it goes without saying that the above-described four hazard classifications are exemplary, and dangerous vehicles may be classified into various types of hazards according to specific embodiments of the invention.

The location information is information indicating the current or most recent location of the dangerous vehicle. When the first vehicle 10 transmits the vehicle information about the dangerous vehicle (eg, the second vehicle 20) to the tracking system 100, it also transmits the location information of the first vehicle 10, at this time the received The location information may be regarded as location information of the dangerous vehicle (the second vehicle 20).

The real-time location calculator 112 may continuously update the dangerous vehicle DB 122 . For example, if the tracking system 100 continues to periodically or aperiodically receive location information about the dangerous vehicle previously registered in the dangerous vehicle DB 122, the current location of the dangerous vehicle may be updated based on this. For example, in the vicinity of the dangerous vehicle, the first vehicle 10 equipped with the vehicle information collection terminal 11 may photograph the dangerous vehicle and transmit it to the tracking system 100 .

At this time, the real-time location calculation unit 112 registers the vehicle (eg, the first vehicle 10 in FIG. 1 ) that provided vehicle information of the dangerous vehicle in the information providing vehicle DB 123 to store and update the location information. have. As shown in Fig. 3(b), the information providing vehicle DB 123 stores the vehicle number and location information of the vehicle that has provided information on the dangerous vehicle. The first vehicle 10 continues to photograph the vicinity of the vehicle periodically or aperiodically using the camera 12, and the vehicle information of the photographed image or still image is transmitted to the tracking system 100 together with its own vehicle information. Since it is transmitted, the tracking system 100 may continuously update the location of the information providing vehicle DB 123 based on this.

In an alternative embodiment, for example, when the third vehicle 30 equipped with the ADAS 31 is registered in the dangerous vehicle DB 122 as a drunk driving vehicle, the ADAS 31 of the third vehicle 30 is its own. The location information may be included in the vehicle information and transmitted to the ADAS operating system 60, and the tracking system 100 may receive this information from the ADAS operating system 60 and register it as the location information of the dangerous vehicle DB 122. .

When the vehicle equipped with the ADAS 31 is a dangerous vehicle, the tracking system 100 receives the location information of the vehicle from the ADAS operating system 60 periodically or aperiodically to obtain the location information of the dangerous vehicle DB 122 . can be updated.

In one embodiment, the real-time location calculation unit 112 may predict the expected movement of the dangerous vehicle and may suggest a detour route for avoiding the dangerous vehicle to a nearby vehicle based on this, which will be described later.

The collection period controller 113 may change the period in which the first vehicle 10 captures nearby vehicles with the camera 12 or the period in which still images are extracted from the captured image (hereinafter referred to as a 'collection period'). For example, when a predetermined event occurs, the collection cycle control unit 113 generates a control signal for increasing or decreasing the collection cycle of the first vehicle 10 to generate a camera 12 or vehicle information collection terminal 11 of the first vehicle 10 . ), etc., may be transmitted to the device controlling the camera 12 and the collection period of the camera 12 may be changed based on this.

The dangerous vehicle notification unit 114 has a function of notifying the presence of the dangerous vehicle to vehicles or pedestrians adjacent to the dangerous vehicle registered in the dangerous vehicle DB 122 and/or the function of notifying the location of the dangerous vehicle to the public institution system 70 . can be performed.

4 is a flowchart illustrating a real-time dangerous vehicle tracking method performed by the dangerous vehicle real-time tracking system 100 according to an embodiment.

Referring to the drawings, the tracking system 100 receives vehicle information from a plurality of first vehicles 10 in step S10 . The vehicle information received from each first vehicle 10 is, for example, a vehicle number of the second vehicle 20 extracted from an image or still image taken by the first vehicle 10 , and a location of the first vehicle 10 . information, and identification information (eg, vehicle number) of the first vehicle). In an alternative embodiment, the vehicle information may further include a vehicle type or vehicle color of the second vehicle 20 .

Upon receiving the vehicle information from the first vehicle 10, in step S20, the vehicle number comparison unit 111 determines that the vehicle number of the second vehicle 20 is previously registered as a dangerous vehicle in the dangerous vehicle DB 122. It is determined whether it is a number, and if it is already registered, the dangerous vehicle DB 122 is updated (step S40). For example, the location information of the dangerous vehicle may be updated in the dangerous vehicle DB 122 .

If the vehicle number of the second vehicle 20 is not a registered vehicle number, the vehicle number of the second vehicle 20 is compared with the wanted vehicle list of the wanted vehicle DB 121 in step S30 to determine whether the vehicle is a wanted vehicle. decide whether If the determination result is a wanted vehicle, the corresponding vehicle is registered as a dangerous vehicle in the dangerous vehicle DB 122 , and thereafter, whenever vehicle information of the dangerous vehicle is received from one or more vehicles among the plurality of first vehicles 10 . The location information of the dangerous vehicle DB 122 may be updated (step S40).

Meanwhile, the dangerous vehicle real-time tracking system 100 may receive vehicle information about the dangerous vehicle from the ADAS operating system 60 (step S15). For example, in the third vehicle 30 equipped with the ADAS 31, the ADAS 31 determines that the vehicle 30 is a dangerous vehicle belonging to a preset dangerous type such as drunk driving, law violation, or drowsy driving. In this case, vehicle information (for example, vehicle number, location information, and information on dangerous types) of the vehicle 30 may be transmitted to the tracking system 100 via the ADAS operating system 60, and the tracking system 100 In step S40, also for such a vehicle, it is registered in the dangerous vehicle DB 122 and periodically or aperiodically receives vehicle information from the ADAS operating system 60 for the vehicle to update the dangerous vehicle DB 122. can do.

In one embodiment, the real-time location calculator 112 may not only update the location information of the dangerous vehicle, but also calculate the expected movement line based on the location change of the dangerous vehicle over time. For example, if the second vehicle 20 photographed by the first vehicle 10 is a dangerous vehicle, the expected movement line is from the next intersection of the current (or most recent) location of the vehicle 20 to the branching road. can be assumed as As another example, when the navigation device 41 is mounted on the first vehicle 10 and a route to a destination is set, the set route may be regarded as an expected movement route.

Thereafter, the dangerous vehicle notification unit 114 of the tracking system 100 may transmit dangerous vehicle information to surrounding drivers, pedestrians and/or public institution systems 70 according to the current location or expected movement of the dangerous vehicle (step S60). ).

In this regard, Figure 5 shows a specific method of the dangerous vehicle information notification step (S60) according to an embodiment. Referring to FIG. 5 , the tracking system 100 may select vehicles adjacent to the dangerous vehicle with reference to the information providing vehicle DB 123 ( S611 ). For example, if an application capable of sharing dangerous vehicle information is installed on a mobile device such as a mobile device of a vehicle driver, and the tracking system 100 continues to receive and update location information provided by the mobile device, tracking The system 100 may select a vehicle adjacent to the location of the dangerous vehicle based on this location information. As another example, in the case of the vehicle 10 equipped with the vehicle information collection terminal 11, the location of the vehicle 10 is registered in the information providing vehicle DB 123, so whether it is adjacent to the location of the dangerous vehicle based on this can determine whether

After that, in step S612, the tracking system 100 may transmit dangerous vehicle information (eg, vehicle number, vehicle type, vehicle color, and dangerous type) to vehicles adjacent to the dangerous vehicle. At this time, in one embodiment, the tracking system 100 may notify the presence of the dangerous vehicle with different alarm sounds or alarm contents according to the distance from the dangerous vehicle of each vehicle.

Meanwhile, as another example, when the dangerous vehicle information notification step ( S60 ) is performed for the vehicle on which the navigation 41 is installed, the tracking system 100 transmits the vehicle information of the dangerous vehicle to the navigation operating system 80 (step S60 ). S621). The navigation operating system 80 that has received the dangerous vehicle vehicle information may display the dangerous vehicle information on the screen of the navigation 41 of the vehicle and transmit an alarm sound (step S622).

In addition, in this case, the navigation device 41 may suggest a route to avoid and detour the dangerous vehicle based on the current location information of the dangerous vehicle (step S623). For example, when searching for a route to a predetermined destination on the navigation device 41 , the route may be searched by adding a condition for avoiding the location of the dangerous vehicle.

As another example, when the real-time location calculation unit 112 calculates the current expected movement of the dangerous vehicle, the tracking system 100 may also transmit information on the expected movement of the dangerous vehicle to the navigation operating system 80 , and the navigation operating system The navigation device 41 that has received the expected movement line information from the 80 may search for a route avoiding the dangerous vehicle in consideration of both the current location and the expected movement of the dangerous vehicle.

Referring back to FIG. 4 , when the real-time location calculator 112 registers a dangerous vehicle or updates location information in step S40 , the collection cycle controller 113 provides vehicle information to the plurality of first vehicles 10 . A control signal for changing the collection period of the collection terminal 11 and/or the camera 12 may be transmitted, respectively. At this time, the 'collection cycle' is, for example, a cycle in which a nearby vehicle is photographed with the camera 12, a cycle in which the vehicle information collection terminal 11 extracts a still image from a photographed image, and extracts a vehicle number from an image or still image. and a period for transmitting vehicle information including the extracted vehicle number to the tracking system 100 .

In this regard, Fig. 6 shows an exemplary method for changing the collection period according to an embodiment. Referring to FIG. 6 , with respect to the vehicles equipped with the vehicle information collection terminal 11, the tracking system 100 may refer to the information providing vehicle DB 123 to select vehicles adjacent to the dangerous vehicle (S711). . This step S711 is, for example, the same as or similar to step S611 of FIG. 5, and thus a description thereof will be omitted.

After that, in step S712, the tracking system 100 transmits a collection cycle change signal according to the distance from the dangerous vehicle to each vehicle. The collection period according to the distance may be preset. For example, if the distance from the dangerous vehicle is not within a predetermined first radius (eg, 2 km), the collection period is 30 seconds, and if the distance is smaller than the first radius and larger than the second radius (eg, 500 m or more within 2 km), 10 seconds , and may be set to 5 seconds if it is smaller than the second radius (eg, within 500 m), and of course, the specific value of such a distance or collection period may vary depending on the embodiment of the present invention.

As another example, in the case of a vehicle equipped with both the vehicle information collection terminal 11 and the ADAS 31 , the tracking system 100 may transmit a signal for changing the collection period to each vehicle through the ADAS operating system 60 . have. That is, in step S721, the tracking system 100 transmits the location information of the dangerous vehicle to the ADAS operating system 60, and in step S722, the ADAS operating system 722 sends each vehicle adjacent to the dangerous vehicle according to the distance. A collection cycle change signal can be transmitted.

As described above, by varying the collection period for photographing a nearby vehicle and transmitting vehicle information to the tracking system 100 according to the distance from the dangerous vehicle as described above, the resource of the vehicle information collection terminal 11 of each vehicle is efficiently operated and at the same time dangerous It has the effect of more accurately and quickly tracking the real-time location of the vehicle.

Although the embodiments of the present invention have been described with reference to the drawings as described above, those skilled in the art will understand that various modifications and variations are possible from the description of the above-described specification. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the following claims as well as the claims and equivalents.

10, 20, 30, 40: vehicle
50: network
60: ADAS operating system
70: public institution system
80: navigation operating system
100; Dangerous vehicle real-time tracking system

Claims (8)

A vehicle real-time tracking method comprising:
Receiving, from the first vehicle, vehicle information including at least the vehicle number and location information of the second vehicle extracted from the image taken by the first vehicle (S10);
determining whether the second vehicle is a wanted vehicle (S30);
registering the second vehicle as a dangerous vehicle in a dangerous vehicle database (DB) when the second vehicle is a wanted vehicle; and
Updating the location information of the second vehicle whenever vehicle information of the second vehicle is received from the first vehicle or one or more of a plurality of other vehicles; The method of claim 1,
The vehicle information will further include information about the vehicle type and vehicle color, vehicle real-time tracking method. The method of claim 1,
Receiving vehicle information including at least a vehicle number and location information of a third vehicle identified as a dangerous vehicle from an ADAS operating system (S15);
registering the third vehicle as a dangerous vehicle in the dangerous vehicle DB; and
Each time receiving the location information of the third vehicle from the ADAS operating system, updating the location information of the third vehicle; further comprising a vehicle real-time tracking method. 4. The method of claim 3,
The dangerous vehicle registered in the dangerous vehicle DB is at least one of a wanted vehicle, a drunk driving vehicle, a law-violating vehicle, and a drowsy driving vehicle to be classified and registered, a vehicle real-time tracking method. A computer program for executing a vehicle real-time tracking method is recorded on a computer-readable recording medium, the vehicle real-time tracking method comprising:
receiving, from the first vehicle, an image or image of a second vehicle photographed by the first vehicle, and location information;
extracting the license plate number of the second vehicle from the image or image;
determining whether the second vehicle is a wanted vehicle;
registering the second vehicle as a dangerous vehicle in a dangerous vehicle database (DB) when the second vehicle is a wanted vehicle; and
updating the location information of the second vehicle whenever receiving vehicle information of the second vehicle from the first vehicle or one or more of a plurality of other vehicles; . 6. The method of claim 5,
The vehicle information will further include information on a vehicle type and vehicle color. The method of claim 5, wherein the vehicle real-time tracking method comprises:
Receiving vehicle information including at least a license plate number and location information of a third vehicle identified as a dangerous vehicle from a driver assistance system (ADAS) operating system;
registering the third vehicle as a dangerous vehicle in the dangerous vehicle DB; and
Each time receiving the location information of the third vehicle from the ADAS operating system, updating the location information of the third vehicle; further comprising a computer-readable recording medium. 8. The method of claim 7,
Dangerous vehicles registered in the dangerous vehicle DB are classified and registered as at least one of a wanted vehicle, a drunk driving vehicle, a law-violating vehicle, and a drowsy driving vehicle.

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