KR20210034464A - System for controlling safe driving in vehicles based on big data technology and method thereof - Google Patents

Abstract

The present invention relates to a system for controlling the safe driving of a vehicle based on big data technology and a method thereof. According to the present invention, the system for controlling the safe driving of a vehicle based on big data technology comprises: front and rear cameras for photographing the front and rear of the vehicle, respectively; a control unit which receives and analyzes image information (data) captured by the front and rear cameras, sends a control command for visually and/or audibly outputting an accident risk index, an expected braking distance and avoidance direction (steering angle), and a risk warning sound depending on the analysis result, and collects overall information according to the driving of the vehicle and wirelessly transmits the same to an external main server; the main server which receives the overall information related to the vehicle driving from the control unit, analyzes the same, creates the same into big data, and provides information for the safe driving of the vehicle and traffic conditions to the control unit based on the analysis result and the big data; a video output device for outputting (displaying), on a screen, the accident risk index and the expected braking distance and avoidance direction (steering angle) according to the control command from the control unit; and an audio output device for outputting the risk warning sound according to the control command from the control unit. The system can visually and/or audibly provide the accident risk index, the expected braking distance and avoidance direction (steering angle), and the like, thereby preventing a traffic accident during vehicle driving.

Description

TECHNICAL FIELD [System for controlling safe driving in vehicles based on big data technology and method thereof]

The present invention relates to a safety operation control system for a vehicle based on big data technology, and more particularly, in the operation of a large vehicle such as a cargo truck or a bus, the total weight of the vehicle and the condition of the road surface when approaching and warning an accident pattern, The present invention relates to a safety driving control system and a method for a vehicle based on big data technology that can prevent a traffic accident in advance by providing an expected braking distance and an avoidance direction (steering angle) according to the presence or absence of adjacent vehicles.

In general, a driver who drives a vehicle may face a number of unexpected dangerous situations due to various causes such as drowsy driving, inexperienced driving, violent driving, road conditions, etc. of himself or others. Accordingly, for safe driving, advanced Driver Assistance Systems (ADAS) have been developed that assist the driver in safe driving by allowing the vehicle to determine some of the many dangerous situations that may occur while driving. Such ADAS technologies include, for example, Forward Collision-Avoidance Assist (FCA), Lane Keeping Assist (LKA), and Active Blind Spot Detection (ABSD). Etc. are included. However, such conventional ADAS technologies only intervene in driving when predefined collision conditions are satisfied, and there is a disadvantage that avoidance control is impossible for new types of accidents or accidents that are not defined in advance.

In recent years, vehicle accidents, particularly accidents due to a driver's carelessness of a large vehicle (bus and freight transport vehicle) or a vehicle defect, have frequently occurred. Accidents of large vehicles often lead to large-scale accidents, and in many cases cause a number of casualties. In addition, it can be said that the risk of accidents is higher in large vehicles because there are many blind spots that the driver cannot detect compared to small vehicles. Accordingly, there is a demand for a safe driving device (system) based on monitoring the condition of the vehicle, the condition of the driver, and the road/surrounding conditions the vehicle is progressing in real time.

Meanwhile, Korean Patent Laid-Open Publication No. 10-2011-0033582 (Patent Document 1) discloses a “safe driving management system for a vehicle”. Accordingly, a vehicle safety driving management system is provided from a vehicle internal sensor through the OBD communication unit. It includes a digital tachograph and accident recording device that automatically records and stores video data from a camera that provides vehicle operation data and video data outside the vehicle of the vehicle, providing a safe driving guide to vehicle drivers. After storing the road information and time information received from and the current speed of the vehicle, when the current speed of the vehicle is greater than or equal to the speed limit of the corresponding road, the LCD display displays whether or not the vehicle is speeding to urge the driver's attention. It is characterized by displaying economic driving information derived from vehicle operation information to inform the driver of his or her driving tendency or economic driving status to guide the driver to economic driving.

In the case of Patent Document 1 as described above, not only does the LCD display effectively display speeding status to prompt the driver's attention, but also displays economic driving information derived from the driving information of the vehicle, giving the driver his or her driving tendency or economic driving. Although it has the advantage of guiding the driver to drive economically by notifying whether or not, the current speed of the vehicle is limited to the road after saving the road information and time information received from the GPS satellite and the current speed of the vehicle. When the speed is higher than the speed, the LCD display is configured to indicate whether or not the vehicle is speeding, so communication between the GPS satellite and the vehicle is not smooth (for example, when the vehicle passes through a long tunnel section), or due to external electromagnetic disturbance, etc. For this reason, if there is an error in the satellite signal, there is a problem in that the LCD display may not be able to display speeding or not be displayed incorrectly.

Korean Patent Application Publication No. 10-2011-0033582 (published on March 31, 2011)

The present invention was created in consideration of the above matters comprehensively, and in the operation of a large vehicle such as a cargo truck or a bus, based on big data technology, the total weight of the vehicle and the condition of the road surface when approaching an accident pattern and warning, The safety operation control system for vehicles based on big data technology that can prevent traffic accidents in advance by providing the predicted braking distance and avoidance direction (steering angle) visually and/or audibly according to the presence or absence of front, rear, left and right adjacent vehicles, and its Its purpose is to provide a method.

In order to achieve the above object, the safety operation control system of a vehicle based on big data technology according to the present invention,

A front camera installed in front of the vehicle and photographing the front of the vehicle;

A rear camera installed at the rear of the vehicle and photographing the rear of the vehicle;

It is installed inside the vehicle and is electrically connected to the front and rear cameras, respectively, predicts the total weight of the vehicle when starting from a standstill of the vehicle, and records image information (data) captured by the front and rear cameras in real time, respectively. It is received and analyzed, and the condition of the road surface is identified based on the analysis result, and the accident risk index, the expected braking distance and avoidance direction (steering angle), and a danger warning sound are visual and/or A control unit that transmits a control command for audible output, collects information according to the operation of the vehicle, and wirelessly transmits information to an external main server;

It wirelessly communicates with the control unit through a wireless communication network, receives information related to vehicle operation from the control unit, analyzes and converts it into big data, and converts information and traffic conditions for safe operation of the vehicle to the control unit based on the analysis result and big data. The main server to provide;

A video output device installed inside the vehicle, electrically connected to the control unit, and outputting (displaying) an accident risk index, an expected braking distance, and an avoidance direction (steering angle) on a screen according to a control command of the control unit; And

It is characterized in that it includes an audio output device installed inside the vehicle, electrically connected to the control unit, and outputting a danger warning sound according to a control command of the control unit.

Here, preferably, a left-facing camera for photographing a left direction of the vehicle and a right-facing camera for photographing a right direction of the vehicle may be further installed on the left and right surfaces of the vehicle.

In this case, the control unit may further include a function of obtaining image information of a surrounding vehicle through the left-facing camera and the right-facing camera, and predicting the length of the surrounding vehicle by analyzing the acquired image information.

In addition, when the controller predicts the total weight of the vehicle when the vehicle starts from a standstill, the total weight of the vehicle may be predicted by linking the pressure applied to the accelerator when the vehicle starts and an RPM value.

In addition, when the control unit receives and analyzes image information (data) captured by the front and rear cameras in real time, respectively, and determines the state of the road surface based on the analysis result, the state of the road surface is rain, snow, and It may include a paved road, an unpaved road, a road under construction, a curve road, and the like.

In addition, the controller receives and analyzes image information (data) captured by the front and rear cameras in real time, and based on the analysis result, visually and /Or a control command to output an audible output, in conjunction with the steering angle or direction indicator for the vehicle (or motorcycle, etc.) in the front, rear, left and right proximity of the vehicle to visually and/or audibly output the accident risk index Can issue orders.

In addition, in sending a control command for the control unit to visually and/or audibly output an expected braking distance, avoidance direction (steering angle), and a danger warning sound, the total weight of the vehicle and the condition of the road surface when approaching and warning an accident pattern, Depending on the presence or absence of the front, rear, left and right vehicles, a control command to output an expected braking distance and avoidance direction (steering angle) in a visual or audio manner may be transmitted.

In addition, the control unit may further include a function of predicting an accident pattern by analyzing a driver's driving habit using a digital tacho graph (DTG).

In this case, in analyzing the driver's driving habit, an individual ID is assigned to each driver, and the driver's driving habit may be analyzed by classifying the driver based on the assigned individual ID.

In addition, the control unit may further include a function of visualizing and displaying surrounding vehicles on the navigation screen in connection with the navigation inside the vehicle.

In addition, in order to achieve the above object, the method for controlling safe operation of a vehicle based on big data technology according to the present invention,

As a vehicle safe operation control method based on a vehicle safety operation control system based on big data technology including a front camera, a rear camera, a left camera, a right camera, a control unit, a main server, a video output device, and an audio output device,

a) predicting the total weight of the vehicle when the vehicle starts from a standstill by the control unit;

b) receiving and analyzing image information (data) captured by the front and rear cameras and the left and right cameras, respectively, in real time by the control unit, and grasping the condition of the road surface based on the analysis result;

c) Based on the analysis result, the control unit outputs an accident risk index, an expected braking distance and avoidance direction (steering angle), and a warning sound visually and/or audibly according to the presence or absence of other vehicles on the front, rear, left and right of the vehicle. Transmitting a control command;

d) receiving information related to vehicle operation from the control unit by the main server, analyzing and converting it into big data, and providing information and traffic conditions for safe operation of the vehicle to the control unit based on the analysis result and big data; and ;

e) outputting (displaying) an accident risk index, an expected braking distance, and an avoidance direction (steering angle) on a screen according to a control command of the controller by the video output device; And

f) The audio output device is characterized in that it includes the step of outputting a danger warning sound according to a control command of the control unit.

Here, prior to the step d), the control unit may further include collecting information according to the operation of the vehicle and wirelessly transmitting the information to the main server.

In addition, in step c), the control unit may further include obtaining image information of surrounding vehicles through the left-facing camera and right-facing camera, and predicting the length of the surrounding vehicles by analyzing the acquired image information. .

In addition, in step a), when the control unit predicts the total weight of the vehicle when starting from the stop state of the vehicle, the total weight of the vehicle may be predicted by linking the pressure applied to the accelerator when the vehicle starts and the RPM value. .

In addition, in step b), the control unit receives and analyzes the image information (data) captured by the front and rear cameras and the left and right cameras in real time, respectively, and determines the condition of the road surface based on the analysis result. In the following, the condition of the road surface may include a rainy road, a snowy road, a paved road, an unpaved road, a road under construction, a curved road, and the like.

In addition, in step c), the control unit receives and analyzes the image information (data) captured by the front and rear cameras, the left and right cameras, respectively, and analyzes them in real time. In sending a control command to visually and/or audibly output the accident risk index depending on the presence or absence of another vehicle, the accident risk index is linked to the steering angle or turn indicator for the vehicle's front, rear, left and right proximity vehicles (or motorcycles, etc.) A control command for visually and/or aurally outputting may be transmitted.

In addition, in the step c), in transmitting a control command for the control unit to visually and/or audibly output an expected braking distance, avoidance direction (steering angle), and a danger warning sound, the total weight of the vehicle when approaching an accident pattern and warning It is possible to transmit a control command to visually or soundly output an expected braking distance and avoidance direction (steering angle) according to the condition of the road surface and the presence or absence of front, rear, left and right vehicles.

In addition, preferably, the control unit may further include predicting an accident pattern by analyzing a driver's driving habits using a digital tacho graph (DTG).

In this case, in analyzing the driver's driving habit, an individual ID is assigned to each driver, and the driver's driving habit may be analyzed by classifying the driver based on the assigned individual ID.

In addition, preferably, it may further include the step of visualizing and displaying the surrounding vehicles on the navigation screen in connection with the navigation inside the vehicle by the control unit.

According to the present invention, based on big data technology, the estimated braking distance and avoidance direction (steering angle), etc. are visually and/or monitored according to the total weight of the vehicle and the condition of the road surface when approaching and warning an accident pattern, and the presence or absence of vehicles in front, rear, left, and right Alternatively, by providing audibly, there is an advantage of preventing the occurrence of a large traffic accident in the operation of a large vehicle such as a cargo truck or a bus.

1 is a diagram schematically showing the configuration of a vehicle safety operation control system based on big data technology according to the present invention.
FIG. 2 is a view showing a state in which a risk index and an expected braking distance are displayed on a video output device of a vehicle safety operation control system based on big data technology according to the present invention.
3 is a diagram schematically showing the configuration of a vehicle safety operation control system based on big data technology according to another embodiment of the present invention.
4 is a flowchart illustrating an execution process of a method for controlling safe operation of a vehicle based on big data technology according to the present invention.

Terms or words used in this specification and claims are limited to their usual or dictionary meanings and should not be interpreted, and that the inventor can appropriately define the concept of terms in order to describe his own invention in the best way. Based on the principle, it should be interpreted as a meaning and concept consistent with the technical idea of the present invention.

Throughout the specification, when a part "includes" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary. In addition, terms such as "...unit", "...group", "module", and "device" described in the specification mean units that process at least one function or operation, which is hardware or software, or a combination of hardware and software. It can be implemented as

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram schematically showing the configuration of a system for controlling a safe operation of a vehicle based on big data technology according to an embodiment of the present invention.

Referring to FIG. 1, the safety operation control system 100 of a vehicle based on big data technology according to the present invention includes a front camera 110, a rear camera 120, a control unit 130, a main server 140, and a video output device. It is configured to include 150 and an audio output device 160.

The front camera 110 is installed in front of the vehicle and photographs the front of the vehicle.

The rear camera 120 is installed at the rear of the vehicle and photographs the rear of the vehicle.

Here, as the front and rear cameras 110 and 120 as described above, a camera applied to a general vehicle black box may be used.

The control unit 130 is installed inside the vehicle and is electrically connected to the front and rear cameras 110 and 120, respectively, and predicts the total weight of the vehicle when the vehicle starts from a standstill, and the front and rear cameras ( 110) Each image information (data) captured by 120 is received and analyzed in real time, and the condition of the road surface is identified based on the analysis result, and the accident risk index according to the presence or absence of other vehicles in the front, rear, left and right sides of the vehicle, Transmits a control command to visually and/or audibly output the expected braking distance, avoidance direction (steering angle), and danger warning sound, and collects information according to vehicle operation and transmits it wirelessly to the external main server 140 . Here, a microprocessor may be used as the control unit 130 as described above. In some cases, instead of separately providing a microprocessor, an electronic control unit (ECU) installed in all vehicles may be configured to perform the role of the control unit 130.

The main server 140 wirelessly communicates with the control unit 130 through a wireless communication network, receives information related to vehicle operation from the control unit 130 and analyzes and converts it into big data. Provides information and traffic conditions for safe operation of the control unit 130. The main server 140 may be configured as a general computer system (desktop PC, notebook PC, etc.). In addition, the main server 140 may be provided with a database (DB) that stores big data (that is, information related to vehicle operation is converted into big data). It may be configured in a form provided by an external cloud system.

The video output device 150 is installed inside the vehicle and is electrically connected to the control unit 130, and according to the control command of the control unit 130, the accident risk index, the expected braking distance, and the avoidance direction (steering angle) are shown in FIG. 2. Output (display) on the screen as shown in Here, as the video output device 150 as described above, a general LCD panel may be used. However, in some cases, a navigation LCD monitor installed in a vehicle or a navigation LCD monitor separately installed inside the vehicle may be configured to perform the role of the video output device 150.

The audio output device 160 is installed inside the vehicle, is electrically connected to the control unit 130, and outputs a danger warning sound according to a control command of the control unit 130. As the audio output device 160, a general small speaker may be used. However, in some cases, the audio system installed in the vehicle may be configured to perform the role of the audio output device 160.

In the vehicle safety operation control system 100 based on the big data technology according to the present invention having the above configuration, preferably, as shown in FIG. 3, the left and right sides of the vehicle are photographed in the left direction of the vehicle. A left camera 170 and a right camera 180 for photographing a right direction of the vehicle may be further installed. Such left and right cameras 170 and 180 may be configured as the same as the front and rear cameras 110 and 120, and have a relatively viewing angle compared to the front and rear cameras 110 and 120. It can also be configured with a wider camera.

In this case, the control unit 130 obtains image information of surrounding vehicles through the left-facing camera 170 and the right-facing camera 180, and further performs a function of predicting the length of the surrounding vehicle by analyzing the acquired image information. Can be equipped.

In addition, when the controller 130 predicts the total weight of the vehicle when the vehicle starts from a stop state, the total weight of the vehicle may be predicted by linking the pressure applied to the accelerator when the vehicle starts and an RPM value. In this case, a separate pressure gauge may be installed in a predetermined portion of the vehicle to measure the pressure applied to the accelerator, or a piezoelectric conversion device that converts the pressure into an electrical signal and displays it may be installed.

In addition, in the control unit 130 receiving and analyzing image information (data) captured by the front and rear cameras 110 and 120 in real time, respectively, and grasping the condition of the road surface based on the analysis result, The condition of the road surface may include a rainy road, a snowy road, a paved road, an unpaved road, a road under construction, a curve road, and the like.

In addition, the control unit 130 receives and analyzes the image information (data) captured by the front and rear cameras 110 and 120 in real time, respectively, and based on the analysis result, In sending a control command to visually and/or audibly output the accident risk index depending on the presence or absence, the accident risk index visually and/or visually and in conjunction with the steering angle or direction indicator lights for the vehicle's front, rear, left and right proximity vehicles (or motorcycles, etc.) /Or can send a control command to output audibly.

In addition, in transmitting a control command for the control unit 130 to visually and/or audibly output an expected braking distance, avoidance direction (steering angle), and danger warning sound, the total weight and road surface of the vehicle when approaching and warning an accident pattern It is possible to transmit a control command to visually or soundly output the predicted braking distance and avoidance direction (steering angle) according to the state of the vehicle and the presence or absence of the front, rear, left and right vehicles.

In addition, the control unit 130 may further include a function of predicting an accident pattern by analyzing a driver's driving habits using a digital tacho graph (DTG) installed in the vehicle. In this case, the control unit 130 is electrically connected to the DTG of the vehicle.

In this case, in analyzing the driver's driving habit, an individual ID is assigned to each driver, and the driver's driving habit may be analyzed by classifying the driver based on the assigned individual ID.

In addition, the control unit 130 may further include a function of visualizing and displaying surrounding vehicles on the navigation screen in connection with the navigation inside the vehicle (a navigation built into the vehicle or a navigation separately installed inside the vehicle). have.

Hereinafter, a method of controlling a safe driving of a vehicle based on a big data technology based on the system for controlling a safe driving of a vehicle based on the big data technology according to the present invention having the above configuration will be described.

4 is a flowchart illustrating an execution process of a method for controlling safe operation of a vehicle based on big data technology according to an embodiment of the present invention.

3 and 4, the method for controlling the safe operation of a vehicle based on big data technology according to the present invention includes a front camera 110, a rear camera 120, a left camera 170, and a right side as described above. Vehicle safety based on the big data technology-based vehicle safety control system 100 including the camera 180, the controller 130, the main server 140, the video output device 150, and the audio output device 160 As a driving control method, first, by the control unit 130, the total weight of the vehicle is predicted when the vehicle starts in a stopped state (step S401). Here, when the control unit 130 predicts the total weight of the vehicle when the vehicle starts in a stopped state, the total weight of the vehicle may be predicted by linking the pressure applied to the accelerator when the vehicle starts and an RPM value.

As described above, after the prediction of the total weight of the vehicle is completed, the front and rear cameras 110 and 120 and the left and right cameras 170 and 180 are photographed by the control unit 130. Each image information (data) is received and analyzed in real time, and the condition of the road surface is determined based on the analysis result (step S402). Here, the control unit 130 receives and analyzes image information (data) captured by the front and rear cameras 110 and 120, and the left and right cameras 170 and 180, respectively, in real time, In grasping the condition of the road surface based on the analysis result, the condition of the road surface may include a rain road, a snowy road, a paved road, an unpaved road, a road under construction, a curve road, and the like.

In this way, after grasping the road surface condition is completed, based on the analysis result by the control unit 130, the accident risk index, expected braking distance and avoidance direction (steering angle), and risk according to the presence or absence of other vehicles in the front, rear, left and right sides of the vehicle. A control command for visually and/or aurally outputting a warning sound is transmitted (step S403). Here, in this way, the control unit 130 receives and analyzes the image information (data) captured by the front and rear cameras 110 and 120, and the left and right cameras 170 and 180, respectively, in real time, and , In transmitting a control command to visually and/or audibly output the accident risk index according to the presence or absence of other vehicles on the front, rear, left and right of the vehicle based on the analysis result, It is possible to transmit a control command to visually and/or audibly output an accident risk index in connection with a steering angle or a turn indicator. In addition, in transmitting a control command for the control unit 130 to visually and/or audibly output an expected braking distance, avoidance direction (steering angle), and danger warning sound, the total weight and road surface of the vehicle when approaching and warning an accident pattern It is possible to transmit a control command to visually or soundly output the predicted braking distance and avoidance direction (steering angle) according to the state of the vehicle and the presence or absence of the front, rear, left and right vehicles.

Meanwhile, the main server 140 receives information related to vehicle operation from the control unit 130, analyzes and converts it into big data, and recalls information and traffic conditions for safe operation of the vehicle based on the analysis result and big data. Provided to the control unit 130 (step S404).

Then, the video output device 150 outputs (displays) an accident risk index, an expected braking distance, and an avoidance direction (steering angle) on the screen according to a control command of the controller 130 (step S405).

In addition, the audio output device 160 outputs a danger warning sound according to a control command of the controller 130 (step S406).

In the method for controlling the safe operation of a vehicle based on big data technology according to the present invention as described above, before the step S404, information according to the operation of the vehicle is collected by the control unit 130 and wirelessly transmitted to the main server 140. It may further include the step of transmitting.

In addition, in step S403, the control unit 130 obtains image information of surrounding vehicles through the left-facing camera 170 and the right-facing camera 180, and predicts the length of the surrounding vehicles by analyzing the acquired image information. It may further include the step of.

In addition, preferably, the step of predicting an accident pattern by analyzing a driver's driving habit using a digital tacho graph (DTG) by the control unit 130 in the series of processes as described above may be further included. have.

In this case, in analyzing the driver's driving habit, an individual ID is assigned to each driver, and the driver's driving habit may be analyzed by classifying the driver based on the assigned individual ID.

In addition, it may further include the step of visualizing and displaying the surrounding vehicles on the navigation screen, preferably in connection with the navigation inside the vehicle by the control unit 130.

As described above, the safety operation control system of a vehicle based on big data technology according to the present invention is predicted based on the big data technology based on the total weight of the vehicle and the condition of the road surface and the presence or absence of vehicles in proximity to the front, rear, left, and right. By providing a braking distance and avoidance direction (steering angle) visually and/or audibly, there is an advantage of preventing the occurrence of a large traffic accident in the operation of a large vehicle such as a cargo truck or a bus.

As described above, the present invention has been described in detail through preferred embodiments, but the present invention is not limited thereto, and various changes and applications can be made without departing from the technical spirit of the present invention. It is self-explanatory to the technician. Therefore, the true scope of protection of the present invention should be interpreted by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100: (Invention) a vehicle safety operation control system based on big data technology
110: front camera 120: rear camera
130: control unit 140: main server
150: video output device 160: audio output device
170: left side camera 180: right side camera

Claims (20)

A front camera installed in front of the vehicle and photographing the front of the vehicle;
A rear camera installed at the rear of the vehicle and photographing the rear of the vehicle;
It is installed inside the vehicle and is electrically connected to the front and rear cameras, respectively, predicts the total weight of the vehicle when starting from a standstill of the vehicle, and records image information (data) captured by the front and rear cameras in real time, respectively. It is received and analyzed, and the condition of the road surface is identified based on the analysis result, and according to the presence or absence of other vehicles in the front, rear, left and right of the vehicle, the accident risk index, the expected braking distance and avoidance direction (steering angle), and a warning sound of danger are visually and/or A control unit that transmits a control command for audible output, collects information according to the operation of the vehicle, and wirelessly transmits information to an external main server;
It wirelessly communicates with the control unit through a wireless communication network, receives information related to vehicle operation from the control unit, analyzes and converts it into big data, and converts information and traffic conditions for safe operation of the vehicle to the control unit based on the analysis result and big data. The main server to provide;
A video output device installed inside the vehicle, electrically connected to the control unit, and outputting (displaying) an accident risk index, an expected braking distance, and an avoidance direction (steering angle) on a screen according to a control command of the control unit; And
A safety driving control system for a vehicle based on big data technology comprising an audio output device installed inside a vehicle, electrically connected to the control unit, and outputting a danger warning sound according to a control command of the control unit.
The method of claim 1,
A safety driving control system for a vehicle based on big data technology, in which a left camera for photographing a left direction of the vehicle and a right camera for photographing a right direction of the vehicle are further installed on the left and right sides of the vehicle.
The method of claim 1,
The control unit obtains image information of surrounding vehicles through the left and right cameras, analyzes the acquired image information, and predicts the length of the surrounding vehicles. system.
The method of claim 1,
In the case where the control unit predicts the total weight of the vehicle when the vehicle starts from a standstill, the safety operation of a vehicle based on big data technology that predicts the total weight of the vehicle by linking the pressure applied to the accelerator when the vehicle starts and the RPM value Control system.
The method of claim 1,
When the control unit receives and analyzes image information (data) captured by the front and rear cameras in real time, and determines the condition of the road surface based on the analysis result, the condition of the road surface is rain, snow, and paved roads. , Unpaved road, road under construction, and a safety driving control system of a vehicle based on big data technology including at least one of a curved road.
The method of claim 1,
The control unit receives and analyzes image information (data) captured by the front and rear cameras in real time, and based on the analysis result, visually and/or visually and/or determine the accident risk index according to the presence or absence of other vehicles in the front, rear, left and right sides of the vehicle. In sending a control command to output audibly, a control command to visually and/or audibly output an accident risk index in conjunction with a steering angle or turn indicator for a vehicle (or motorcycle) close to the front, rear, left and right of the vehicle is transmitted. A vehicle's safe operation control system based on big data technology.
The method of claim 1,
When the control unit transmits a control command to visually and/or audibly output an expected braking distance, avoidance direction (steering angle), and danger warning sound, the total weight of the vehicle and the condition of the road surface when approaching and warning an accident pattern, front and rear, left and right A safety operation control system for vehicles based on big data technology that transmits control commands to visually or audioly output an expected braking distance and avoidance direction (steering angle) according to the presence or absence of a vehicle.
The method of claim 1,
The control unit further includes a function of predicting an accident pattern by analyzing a driver's driving habits using a digital tacho graph (DTG).
The method of claim 8,
In the analysis of the driver's driving habit, a safety driving control system for a vehicle based on big data technology that assigns an individual ID to each driver and analyzes the driving habit of the driver by classifying the driver based on the given individual ID.
The method of claim 1,
The control unit is a big data technology-based vehicle safety control system further comprising a function of visualizing and displaying surrounding vehicles on a navigation screen in connection with a navigation inside the vehicle.
As a vehicle safe operation control method based on a vehicle safety operation control system based on big data technology including a front camera, a rear camera, a left camera, a right camera, a control unit, a main server, a video output device, and an audio output device,
a) predicting the total weight of the vehicle when the vehicle starts from a standstill by the control unit;
b) receiving and analyzing image information (data) captured by the front and rear cameras and the left and right cameras, respectively, in real time by the control unit, and grasping the condition of the road surface based on the analysis result;
c) Based on the analysis result, the control unit outputs an accident risk index, an expected braking distance and avoidance direction (steering angle), and a warning sound visually and/or audibly according to the presence or absence of other vehicles on the front, rear, left and right of the vehicle. Transmitting a control command;
d) receiving information related to vehicle operation from the control unit by the main server, analyzing and converting it into big data, and providing information and traffic conditions for safe operation of the vehicle to the control unit based on the analysis result and big data; and ;
e) outputting (displaying) an accident risk index, an expected braking distance, and an avoidance direction (steering angle) on a screen according to a control command of the controller by the video output device; And
f) A method for controlling safe operation of a vehicle based on big data technology, comprising the step of outputting a danger warning sound according to a control command of the control unit by the audio output device.
The method of claim 11,
Before the step d), the control method further comprises the step of collecting information according to the operation of the vehicle by the control unit and transmitting the information wirelessly to the main server.
The method of claim 11,
In step c), the control unit obtains image information of surrounding vehicles through the left-facing camera and right-facing camera, and predicts the length of the surrounding vehicle by analyzing the acquired image information. How to control the safe driving of the vehicle.
The method of claim 11,
Big data technology that predicts the total weight of the vehicle by linking the pressure applied to the accelerator at the time of starting the vehicle and the RPM value when the control unit predicts the total weight of the vehicle when starting from the vehicle stop state in step a) A method of controlling the safe driving of the base vehicle.
The method of claim 11,
In step b), the control unit receives and analyzes the image information (data) captured by the front and rear cameras and the left and right cameras in real time, respectively, and determines the condition of the road surface based on the analysis result. , The state of the road surface is rain road, snow road, paved road, unpaved road, road under construction, including at least any one of a curve road safety driving control method of a vehicle based on big data technology.
The method of claim 11,
In step c), the control unit receives and analyzes image information (data) captured by the front and rear cameras, and left and right cameras, respectively, in real time, and based on the analysis result, other vehicles are located in the front, rear, left and right sides of the vehicle. In sending a control command to visually and/or audibly output the accident risk index depending on the presence or absence of the vehicle, the accident risk index visually and/or visually and in conjunction with the steering angle or direction indicator lights for the vehicle (or motorcycle) close to the front, rear, left and right of the vehicle. / Or a safe driving control method of a vehicle based on big data technology that transmits a control command to be output aurally.
The method of claim 11,
In the step c), in transmitting a control command for the control unit to visually and/or audibly output an expected braking distance, avoidance direction (steering angle), and a danger warning sound, the total weight and road surface of the vehicle when approaching an accident pattern and warning A big data technology-based vehicle safety control method that transmits a control command to visually or audioly output the expected braking distance and avoidance direction (steering angle) according to the state of the vehicle and the presence or absence of the front, rear, left and right vehicles.
The method of claim 11,
A method for controlling safe driving of a vehicle based on big data technology, further comprising the step of predicting an accident pattern by analyzing a driver's driving habit using a digital tacho graph (DTG) by the control unit.
The method of claim 18,
In the analysis of the driver's driving habit, a method for controlling safe driving of a vehicle based on big data technology in which an individual ID is assigned to each driver, and the driver is classified based on the given individual ID to analyze the driving habit of the corresponding driver.
The method of claim 11,
A method for controlling safe operation of a vehicle based on big data technology, further comprising the step of visualizing and displaying surrounding vehicles on a navigation screen by the control unit in connection with the navigation inside the vehicle.

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