KR20190080020A - Lane traffic situation judgement apparatus, system, and method thereof - Google Patents

Abstract

The present invention relates to an apparatus for determining a traffic condition for each lane, a system thereof, and a method thereof. According to the present invention, the apparatus comprises: a camera unit for collecting image information in front of a vehicle to determine a traffic condition; a GPS receiving unit for receiving a GPS signal for detecting a current location of the vehicle; and a control unit for synthesizing a plurality of images photographed by the camera unit to recognize a lane or road on which the vehicle currently travels and transmitting location information on a current lane or road and a synthesized image to a server.

Description

TECHNICAL FIELD [0001] The present invention relates to a traffic situation determination apparatus, a system,

[0001] The present invention relates to an apparatus, system and method for determining a lane-by-lane traffic situation. More particularly, the present invention relates to an apparatus, The present invention relates to an apparatus, system,

Generally, there are unexpected situations such as traffic flow, accident, congestion, construction, protest demonstration, etc., and traffic information is used to smooth the flow of traffic through the collected traffic information and traffic signals And is being used for efficient operation. In addition, traffic information should be provided in real time because road traffic flow and unexpected situation change continuously with time.

Generally, a surveillance camera (CCTV camera) occupies a large portion of a system for measuring traffic information (or traffic situation information), and the surveillance camera (CCTV camera) is arranged to identify the license plate.

The conventional method of determining traffic information (or traffic situation information) is an analog method comprising a system for collecting traffic situation information (for example, image information) and a manpower for analyzing the information (for example, image information) The traffic information (or traffic situation information) analyzed in this manner is reported through broadcasting or traffic information display. Therefore, the existing traffic situation judgment system is mostly analog system, which requires a lot of manpower and work time.

Accordingly, a device (e.g., an image analysis server) for analyzing road images photographed from a plurality of cameras, detecting various objects (objects) included in the image according to the analysis results, and analyzing traffic conditions therefrom, And as the image to be processed increases, the analysis becomes difficult and the efficiency becomes poor. Accordingly, there is a need for a method for efficiently determining traffic conditions by analyzing images taken from a plurality of cameras.

The background art of the present invention is disclosed in Korean Patent Laid-Open Publication No. 10-2017-0094805 (published on July 21, 2017, integrated radar and video camera traffic information measurement system).

According to one aspect of the present invention, there is provided a traffic information management system for a vehicle, which is created in order to solve the above-described problems, and recognizes an object related to a traffic situation from image information of a current lane, The present invention provides an apparatus, system, and method for discriminating a traffic situation in a car.

According to an aspect of the present invention, there is provided an apparatus for determining a lane-by-lane traffic situation, comprising: a camera unit for collecting image information of a vehicle ahead, A GPS receiver for receiving a GPS signal for detecting a current position of the vehicle; And a control unit for synthesizing a plurality of images photographed by the camera unit, recognizing a lane or a road currently being driven, and transmitting position information of the current lane or road and the synthesized image to a server .

In the present invention, the camera unit may include at least one of a camera, a surveillance camera (CCTV), and a camera mounted on the portable terminal, and the portable terminal may include at least one of a smart phone, a smart pad, And one of them.

In the present invention, the control unit combines the images photographed by the respective cameras of the camera unit, and generates a wide viewing angle image that is wider than the photographed images by using any one of the cameras .

In the present invention, the control unit performs image synchronization with reference to time information and the JPEG information in order to synthesize images photographed by each camera of the camera unit, and synthesizes the image-synchronized images.

In the present invention, the control unit may synthesize an image having the same time information and the JPEG information within an error range, and further include the remaining objects excluding the overlapping objects, thereby synthesizing the image with the expanded image input range .

In the present invention, the server may be configured to determine whether the road in which the vehicle is currently traveling is an ordinary road or a highway, based on the position information of the present lane or the road transmitted by the lane- And determines a traffic situation according to the determined road type.

In the present invention, when the current position of the vehicle based on the positional information is a highway or a road on which a CCTV is installed, the server further refers to the CCTV image to determine a traffic situation .

In the present invention, the server determines the traffic situation of the road on which the vehicle is running based on the location information and the image information transmitted by the traffic-line-by-traffic-condition determination apparatus, and transmits the determined traffic- And a server that provides the server.

In the present invention, the lane-by-line traffic situation determination apparatus may further include a communication unit for wirelessly transmitting location information and image information for determining a traffic situation with the server using a wireless scheme .

According to another aspect of the present invention, the traffic situation determination apparatus further includes a map storage unit for downloading and storing the latest version of digital map information for current position determination and path determination.

According to another aspect of the present invention, there is provided a traffic-condition-by-traffic-condition determining method comprising: a traffic-condition-by-traffic-condition determining device for collecting forward image and position information of a vehicle in operation and transmitting the same to a server; A traffic situation determination method for a traffic light in a traffic light condition determination system including a server for determining a traffic situation of a road in which the vehicle is running is characterized in that the controller of the traffic light situation condition determination apparatus comprises: Collecting images; Generating a synthesized image of an image photographed by the at least one camera with reference to the time information and the JPEG information; Processing the combined image and recognizing a lane or road by referring to the map information; Transmitting the synthesized image to the server by referring to the map information stored in the map storage unit; And a step in which the server determines the traffic conditions of the road on which the vehicle is traveling based on the positional information and the synthesized image.

In the present invention, in order to synthesize an image photographed by at least one camera of the camera unit, the control unit performs image synchronization with reference to time information and the JPEG information, synthesizes the synchronized images, And a wide viewing angle image expanded to a wider range than the image captured using any one of the cameras is generated.

In the present invention, in the step of determining the traffic situation, the server determines whether the vehicle is currently traveling on the basis of the position information of the present lane or the road, transmitted by the traffic lane- (CCTV) image is additionally referenced when the current position of the vehicle based on the positional information is a highway or a road on which a surveillance camera (CCTV) is installed, .

In the present invention, in the step of determining the traffic situation, the server may receive the position information and the combined image information, and determine, based on the image information, whether the occupancy rate of the vehicle is equal to or greater than a predetermined reference, The traffic lights or signs previously learned in the composite image are detected and the congestion in the section where the traffic lights are present is detected as a congestion due to the waiting time by the traffic lights And the traffic congestion in the section where the traffic light is not present and the sign is present is a congestion due to the bottleneck phenomenon.

In the present invention, in the step of determining the traffic situation, when the current location is a highway or a road on which a CCTV is installed, the server further refers to the CCTV image to determine a traffic situation .

In the present invention, when the traffic situation is determined by further referring to the CCTV image, the server recognizes the object in the monitoring image during the day, and determines the density, the congestion degree, the moving distance per hour, The traffic situation is determined and the object is recognized using the light reflected from the headlight or the vehicle body in the nightly monitoring image and the traffic situation is determined by calculating the density or the congestion degree, do.

According to another aspect of the present invention, there is provided a lane-specific traffic situation determination system comprising: a lane-specific traffic situation determination device for collecting forward image and position information of a driving vehicle and transmitting the information to a server; A server for determining a traffic condition of a road on which the vehicle is traveling based on the forward image and the position information; And a surveillance camera unit for providing a surveillance camera (CCTV) image to the server so that the server can more accurately determine a traffic situation of the road.

In the present invention, the server may be configured to determine whether the road in which the vehicle is currently traveling is an ordinary road or a highway, based on the position information of the present lane or the road transmitted by the lane- (CCTV) image is added when the current position of the vehicle based on the positional information is a highway or a road on which a CCTV is installed, To determine the traffic situation.

In the present invention, the server may be configured such that the current position of the vehicle based on the positional information is a general road, and that the occupancy rate of the vehicle from the image information is equal to or greater than a predetermined reference and the traveling speed of the vehicle is a low speed In this case, it is judged that the traffic lights or signs previously learned in the composite image are stagnant due to the waiting time due to the traffic lights, and the congestion in the section where the traffic lights are not present is the bottleneck So that the traffic situation is judged.

According to an aspect of the present invention, an object related to a traffic situation is recognized from image information obtained by photographing a current lane of a driving lane so that a lane-by-line traffic situation can be determined.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a diagram illustrating a schematic configuration of an apparatus and system for determining a lane-by-lane traffic situation according to an embodiment of the present invention;
BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a traffic situation determination system for a traffic lane according to an embodiment of the present invention.
FIG. 3 is an exemplary view showing a method of photographing and synthesizing a forward image using multiple cameras in FIG. 1 and recognizing a lane using the synthesized image. FIG.
FIG. 4 is an exemplary view for explaining a method of generating a wide viewing angle image by combining a plurality of images acquired by using at least one camera having different installation positions or specifications in FIG. 1 into one image. FIG.
FIG. 5 is a flowchart for explaining a traffic situation determination method according to a traffic lane of a server in a lane-based traffic situation determination system according to an embodiment of the present invention.
FIG. 6 is an exemplary view showing the image information synthesized with the position information by the traffic line received from the traffic-situation-by-traffic-condition determination device in FIG. 5;
FIG. 7 is an exemplary view for explaining a method of determining a traffic situation by recognizing a traffic light or a sign on an ordinary road in FIG. 5; FIG.
FIG. 8 is an exemplary diagram for explaining a method of determining a traffic situation by referring to a CCTV surveillance image on a highway in FIG. 5; FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of an apparatus, system, and method for determining a lane-by-lane traffic situation according to the present invention will be described with reference to the accompanying drawings.

In this process, the thicknesses of the lines and the sizes of the components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, the terms described below are defined in consideration of the functions of the present invention, which may vary depending on the intention or custom of the user, the operator. Therefore, definitions of these terms should be made based on the contents throughout this specification.

Brief Description of the Drawings Fig. 1 is an exemplary diagram showing a schematic configuration of an apparatus and system for determining a lane-by-lane traffic situation according to an embodiment of the present invention.

1, the traffic light condition determination apparatus 100 includes a camera unit 110, a GPS receiver 120, a controller 130, a communication unit 140, and a map storage unit 150 do. 1, the traffic-condition-by-traffic-situation determination system includes a server 210 that communicates with the traffic-condition-by-traffic-condition determination apparatus 100, and a monitoring image (i.e., a CCTV image) And a surveillance camera unit 310 for providing a surveillance camera.

The camera unit 110 is a camera using a digital image sensor (e.g., a CCD, CMOS, or the like). The camera unit 110 includes a camera for collecting forward image information and a portable terminal , A navigation device, a black box, and the like).

Therefore, the camera unit 110 may include at least one camera (i.e., multiple cameras), and may include a camera installed in a position (e.g., a vehicle ceiling, a dashboard, etc.) The range to be photographed may vary depending on the specifications (e.g., lens specifications) of the lens (see Fig. 3 (b), Fig. 4).

FIG. 3 is a diagram illustrating a method of photographing a forward image using multiple cameras and synthesizing the images, and recognizing a lane using the synthesized image in FIG.

3 (a), a plurality of cameras installed on a vehicle (a vehicle) traveling on a road, that is, an installation position (e.g., a vehicle ceiling, a dashboard, The image captured using other multiple cameras is converted into a wide viewing angle image 3 (b), it is possible to more clearly and easily (i. E., By using the left / right lane < RTI ID = 0.0 > Are included in one image) so that the lane can be recognized.

FIG. 4 is an exemplary view for explaining a method of generating a wide viewing angle image by combining a plurality of images acquired using at least one camera having different installation positions or specifications in FIG. 1 into one image.

For example, as shown in Fig. 4 (a), the image obtained by using the camera of the black box (a) at the top (e.g., the room mirror position) As shown in the figure, when it is assumed that there is a video obtained by using an AVN (Audio Video Navigation) (b) camera (that is, a second camera) at the bottom (e.g., dashboard), the control unit 130 (I.e., each image photographed using cameras (first and second cameras) having different shooting angles and specs depending on the installation position) using the acquired images can be combined to generate one wide viewing angle image.

For example, the object (object) displayed on the image captured by the first camera (camera 1) may not be displayed on the image captured by the second camera (camera 2). Accordingly, the controller 130 synthesizes the images photographed by the respective cameras (multiple cameras) of the camera unit 110, and displays the images expanded in a wider range than the photographed images using any one of the cameras Angle-of-view image).

At this time, the control unit 130 performs image synchronization with reference to the time information and the JPEG information in order to synthesize the images photographed by each camera (multiple cameras) of the camera unit 110. That is, the control unit 130 synthesizes the images having the same time information and the JPEG information within the error range, and adds the remaining objects excluding the overlapped objects (e.g., vehicles, lanes, peripheral facilities, etc.) , The image input range is expanded).

The GPS receiver 120 receives a GPS signal for detecting the current position of the vehicle.

In addition, the controller 130 synthesizes an image (i.e., a wide viewing angle image) that is wider than the captured image using any one of the cameras, recognizes the lane using the synthesized image And transmits the synthesized image (forward image) to the server 210 together with the position information of the current lane (or road) (i.e., the information matched on the map or the GPS information).

Accordingly, the server 210 transmits the location information of the present lane (or road) transmitted by the lane-by-lane traffic situation determination apparatus 100 (i.e., information matched on the map or the LFP information) (I.e., a traffic situation on an ordinary road) on the basis of the forward image. If the current position of the vehicle based on the positional information is a highway (or a road on which CCTV is installed), the server 210 refers to the surveillance image (i.e., CCTV image) photographed through the surveillance camera unit 310 To determine the traffic situation.

The communication unit 140 communicates with the server 210 (e.g., a server that determines the traffic situation and provides the determined traffic situation information to the navigation device) in a wireless manner and transmits position information of the current lane (or road) (I.e., information matched on the map, or GPS information) and the synthesized image (forward image).

The communication unit 140 transmits and receives information for determining the traffic situation and information for determining the traffic situation to and from the server 210 using any one of the wireless systems.

Here, the wireless method may be a wireless communication method using at least one of LiFi (Light Fidelity), WiFi, Bluetooth, NFC (Near Field Communication), mobile communication (3G, 4G, . However, the wireless method described above is only described as an example, and is not described for limiting the wireless communication method.

The map storage unit 150 downloads and stores the latest version of the digital map information for current position determination and path determination. At this time, the digital map information may include high-precision map information for an autonomous vehicle.

FIG. 2 is a flowchart for explaining a traffic situation determination method according to a lane of a lane-by-lane traffic situation determining device in a lane-by-lane traffic situation determining system according to an embodiment of the present invention.

2, the control unit 130 of the traffic situation determination apparatus 100 collects images photographed by each camera (i.e., multiple cameras) of the camera unit 110 (S101).

The controller 130 refers to the time information and the JPEG information to synchronize images captured by the cameras (i.e., multiple cameras) (S102), synthesizes the synchronized images, (I.e., a wide-angle-of-view image) that is wider than the photographed image (S103).

That is, the control unit 130 synthesizes the images having the same time information and the JPEG information within the error range, and adds the remaining objects excluding the overlapped objects (e.g., vehicles, lanes, peripheral facilities, etc.) , The image input range is expanded).

Also, the controller 130 processes the synthesized image (i.e., the wide viewing angle image) to recognize the lane (or road) (S104).

For example, the control unit 130 recognizes a dotted line or a solid line for distinguishing the boundaries of lanes (or roads) in the synthesized image. By recognizing the lane (or road) as described above, it becomes possible to recognize a signboard or a signal lamp in front of the vehicle (or a car) based on the lane (or road).

The control unit 130 refers to the map information stored in the map storage unit 150 and determines whether the current position of the lane (or the road) (that is, the information matched on the map, (Forward image) to the server 210 (S105).

Accordingly, the server 210 determines the traffic situation (that is, the traffic information on the road) based on the position information of the current lane (or road) transmitted by the lane-by-line traffic situation determination apparatus 100 and the synthesized image The server 210 determines whether the current position of the vehicle is a road on which a CCTV (surveillance camera) is installed (or a highway), and the server 210 refers to the surveillance image (i.e., the CCTV image) .

FIG. 5 is a flowchart for explaining a traffic situation determination method according to a traffic lane of a server in a lane-based traffic situation determination system according to an embodiment of the present invention.

5, the server 210 receives the position information of the current lane (or road) and the synthesized image (forward image) information from the vehicle (that is, the traffic light situation determination device mounted on the vehicle) (S201) (see Fig. 6).

FIG. 6 is an exemplary diagram showing the image information combined with the position information by the traffic line received from the traffic-situation-by-traffic-condition determining device in FIG.

In FIG. 6, it is shown that the map image is included in the image as the position information, but it is noted that the map information (or the position information) can be actually included as hidden information invisible on the screen.

Then, the server 210 checks whether the occupation rate of the vehicle (i.e., the preceding vehicle) in the received forward image is equal to or greater than a preset reference (e.g., 70%) (S202).

As a result of the check (S202), if the occupancy rate of the vehicle (that is, the preceding vehicle) is equal to or larger than a preset reference (for example, 70% The control unit 210 checks whether the running speed of the vehicle (that is, the vehicle) is a low speed of less than a predetermined reference (for example, 10 km / h) (S203).

If the driving speed of the vehicle (that is, the vehicle) is less than or equal to a predetermined reference (for example, 10 km / h) (S203) as a result of the check (S203) h), the server 210 confirms the position on the map of the vehicle (that is, the vehicle) (S204).

If the occupancy rate of the vehicle (that is, the preceding vehicle) in the forward image photographed while the vehicle (i.e., the vehicle) is moving slowly is equal to or greater than a preset reference (for example, 70%), traffic conditions are congested Increase) means that the vehicle is close to the preceding vehicle.

However, it is necessary to judge whether the increase in the queue is an increase in the queue due to an increase in the number of vehicles or an increase in the number of queues due to a traffic light.

Accordingly, the server 210 checks whether the location of the vehicle (that is, the vehicle) on the map is a general road (e.g., a road in a city area) or a highway based on the result of checking (S205).

For example, the general road and the expressway may be classified in advance for each road. Normally, the road section for controlling the running of the vehicle is a general road, and no signal lamp is installed. Only the speed limit sign Is a highway.

As a result of the check (S205), when the position on the map of the vehicle (that is, the vehicle) is a general road (YES in S205) A traffic light or a sign is detected (see Figs. 7A and 7B) (S206).

FIG. 7 is an exemplary diagram for explaining a method of determining a traffic situation by recognizing a traffic light or a sign on an ordinary road in FIG.

For example, the reason for detecting the presence of a traffic light or a sign on the front of a vehicle (i.e., a vehicle) as described above is that a section in which the vehicle is stationary is increased according to the color of the traffic light, This is because the interval in which the vehicle stops is increased in the merging section. That is, it is determined whether the vehicle is stopped only during the traffic light wait time, or whether more vehicles than the number of vehicles that the road can accommodate due to the bottleneck are entering and stopping on the road.

Therefore, based on the recognition result (S206) of the signal lamp and the signboard, the server 210 determines that the congestion in the section where the signal lamp exists is a congestion due to a waiting time by a traffic light (e.g., a red traffic light) The traffic congestion in a section with a sign on a non-existent road is a congestion due to a bottleneck phenomenon (S208).

On the other hand, if the current position of the vehicle on the map is confirmed (S204) and the road is not classified (i.e., classified on a highway) in advance, the server 210 transmits the surveillance image (I.e., whether or not the vehicle is stagnant) by referring to the received monitoring image (that is, the CCTV image) at the corresponding position (S208).

FIG. 8 is a diagram for explaining a method of determining a traffic situation by referring to a CCTV surveillance image on a highway in FIG. 5, where (a) recognizes an object (object) (B) shows an example of a method of calculating a moving distance (a congestion degree), a moving distance per hour, and a moving direction, and (b) recognizing an object (object) using light reflected from a headlight or a body in a nightly monitoring image, The degree of congestion), the moving distance per hour, and the moving direction.

In a road (eg, a highway) that can acquire a surveillance image (ie, a CCTV image) unlike an ordinary road, it is possible to calculate the traffic situation (ie, , Whether or not it is congested).

That is, the server 210 calculates the density (congestion) between the objects recognized by the monitoring image (i.e., the CCTV image) and the moving distance per hour, compares these values with preset reference values, (I.e., whether or not the vehicle is stagnant) based on the determination result (S208).

As described above, the present embodiment recognizes an object related to a traffic situation (e.g., recognizes a forward vehicle, a traffic light, a signboard, etc. as an object on an ordinary road) from the image information of the current lane of the current driving situation, And recognizes the screening vehicles as an object) so as to judge the traffic situation according to the traffic.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, I will understand the point. Accordingly, the technical scope of the present invention should be defined by the following claims.

100: car traffic condition determining device 110:
120: GPS receiver 130:
140: communication unit 150: map storage unit
210: server 310: surveillance camera unit

Claims (19)

A camera unit for collecting image information on the front of the vehicle, for determining a traffic situation;
A GPS receiver for receiving a GPS signal for detecting a current position of the vehicle; And
And a control unit for synthesizing a plurality of images photographed by the camera unit, recognizing a lane or a road currently being driven, and transmitting position information of the current lane or road and the synthesized image to a server Selective Traffic Situation Apparatus.
The camera system according to claim 1,
Wherein the portable terminal comprises at least one of a camera, a private camera, a surveillance camera (CCTV), and a camera mounted on the portable terminal, the portable terminal including at least one of a smart phone, a smart pad, Selective Traffic Situation Apparatus.
The apparatus of claim 1,
Wherein the image processing unit synthesizes images photographed by each camera of the camera unit,
Wherein the controller is configured to generate a wide viewing angle image that is wider than a captured image using any one of the cameras.
The apparatus of claim 3,
In order to synthesize images photographed by each camera of the camera unit,
Time information, and geospatial information, and synthesizes the image-synchronized images.
The apparatus of claim 1,
Wherein the image combining unit synthesizes the image having the same time information and the JPEG information within the error range and further includes the remaining objects excluding the overlapping objects so as to synthesize the image with the expanded image input range, .
The server according to claim 1,
Based on the position information of the present lane or the road transmitted by the lane-by-lane traffic situation determining apparatus, and the type of the road based on the synthesized image, whether the road currently being traveled by the vehicle is an ordinary road or an expressway, And the traffic condition according to the type of traffic is determined.
7. The server according to claim 6,
Wherein the traffic situation determination unit further determines a traffic situation by referring to the CCTV image when the current location of the vehicle based on the location information is a highway or a road on which a CCTV is installed, .
The server according to claim 1,
Wherein the server is a server for determining a traffic situation of the road on which the vehicle is running based on the location information and the image information transmitted by the traffic light situation determination apparatus and providing the determined traffic situation information to the navigation device Selective Traffic Situation Apparatus.
2. The traffic situation determination apparatus according to claim 1,
Further comprising: a communication unit for wirelessly transmitting location information and image information for determining a traffic situation with the server using a wireless scheme.
2. The traffic situation determination apparatus according to claim 1,
Further comprising: a map storage unit for downloading and storing the latest version digital map information for current position determination and path determination.
And a server for determining a traffic situation of the road on which the vehicle is traveling based on the forward image and the position information transmitted thereto A method for judging a traffic situation according to a traffic lane discrimination system comprising:
Collecting images photographed by at least one camera of the camera unit;
Generating a synthesized image of an image photographed by the at least one camera with reference to the time information and the JPEG information;
Processing the combined image and recognizing a lane or road by referring to the map information;
Transmitting the synthesized image to the server by referring to the map information stored in the map storage unit, the position information of the current lane or road, and the synthesized image; And
And determining the traffic situation of the road on which the vehicle is traveling based on the position information and the synthesized image.
The method of claim 11, wherein, in order to synthesize an image photographed by at least one camera of the camera unit,
Wherein,
Time information and the JPEG information,
And synthesizing the synchronized images to generate a wide viewing angle image that is wider than a captured image using one of the at least one cameras.
12. The method according to claim 11, wherein, in the step of determining the traffic situation,
The server comprises:
And a control unit for determining the type of the road based on the position information of the current lane or the road transmitted by the lane-specific traffic situation determination apparatus and the road on which the vehicle is currently traveling based on the synthesized image,
Wherein the traffic situation is judged by further referring to the surveillance camera (CCTV) image when the present location of the vehicle based on the location information is a highway or a road on which a surveillance camera (CCTV) is installed .
12. The method according to claim 11, wherein, in the step of determining the traffic situation,
The server comprises:
Receiving the position information and the combined image information,
When the occupancy rate of the vehicle is equal to or higher than a preset reference and the traveling speed of the vehicle is lower than a predetermined reference from the image information,
If the position on the map of the vehicle is a general road, it is detected that the signal lamp or signboard previously learned in the composite image is detected, and the congestion in the section where the traffic light exists is judged to be congested due to the waiting time by the traffic lights. Wherein the traffic congestion is a congestion caused by a bottleneck phenomenon.
15. The method according to claim 14, wherein, in the step of determining the traffic situation,
The server comprises:
If the current location is a highway or a road with a surveillance camera (CCTV) installed,
And the traffic condition is determined by further referring to the CCTV image.
16. The method of claim 15, further comprising the step of:
The server comprises:
It recognizes the objects in the daytime monitoring image, determines the traffic situation by calculating density, congestion, travel distance and movement direction per hour, recognizes the object by using the light reflected from the headlight or the body in the nightly monitoring image, Wherein the traffic situation is determined by calculating the density, the congestion degree, the travel distance per hour, and the travel direction.
A traffic-condition-by-traffic-condition determining device for collecting forward image and position information of a vehicle in operation and transmitting the information to a server;
A server for determining a traffic condition of a road on which the vehicle is traveling based on the forward image and the position information; And
And a surveillance camera unit for providing a surveillance camera (CCTV) image to the server so that the server can more accurately determine a traffic situation of the road.
18. The server of claim 17,
Based on the position information of the present lane or the road transmitted by the lane-by-lane traffic situation determining apparatus, and the type of the road based on the synthesized image, whether the road currently being traveled by the vehicle is an ordinary road or an expressway, The traffic situation according to the type is judged,
(CCTV) image is additionally referenced when the current position of the vehicle based on the positional information is a highway or a road on which a CCTV is installed, .
19. The server of claim 18,
When the current position of the vehicle based on the positional information is a general road and the occupancy rate of the vehicle is equal to or higher than a predetermined reference from the image information and the traveling speed of the vehicle is lower than a predetermined reference,
The traffic lights or signs previously learned in the synthesized image are detected and it is judged that the congestion in the section with the traffic lights is congested due to the waiting time by the traffic lights and the congestion in the section with the traffic lights without the traffic lights is caused by the bottleneck And the traffic situation is judged to be congestion.

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