KR101998787B1 - Safety driving method - Google Patents

Abstract

By monitoring the status of large vehicles and driving habits of drivers using DTG and various sensors installed in the vehicle, and by comprehensively analyzing them, it is possible to warn the driver of the dangerous situation, A first driving unit for driving the vehicle; a first situation information collecting unit for acquiring frontal situation information of the driver and the vehicle as an image; a digital running recorder for recording vehicle information for detecting a defect or vehicle condition of the vehicle; A second situation information collecting unit for detecting an obstacle in a direction and a surrounding area, a video information collecting unit for collecting the first and second situation information collecting units and a digital running time recorder, And a central processing unit for outputting a warning signal when the risk occurrence is predicted as a result of the risk factor determination, To include the alarm / warning device to warn of danger on the basis, to implement a safety device for vehicle driving.

Description

[0001] Safety driving method [0002]

The present invention relates to a safe driving method of a vehicle, and more particularly, it relates to a method of monitoring a state of a large-sized vehicle and a driving habit of a driver by using a digital running recorder (DTG) The present invention relates to a safe driving method of a vehicle,

Many accidents are caused by accidents caused by accident of a vehicle, in particular, by a driver of a large vehicle (a bus or a freight transportation vehicle) and a vehicle. Accidents in large vehicles can lead to large-scale accidents, which often lead to large-scale casualties.

In addition, the risk of accidents is higher due to the large number of blind spots that the driver can not detect than the small vehicles. Therefore, it is required to monitor the state of the vehicle, the state of the driver, and the road / surroundings of the vehicle in real time, and to provide a safe driving device based on the monitoring.

The following Patent Documents 1 to 4 disclose techniques proposed in the past for safe operation of a vehicle.

The prior art disclosed in Patent Document 1 includes a step of receiving speed information and acceleration information from a driving information collection device, counting a unit acceleration with respect to a unit speed based on the speed information and the acceleration information, And generating driving information matrix information in which the unit acceleration is displayed on the second axis and the number of counts per reference time is displayed in each cell on the second axis so that the safe driving index calculation system calculates the safe driving index to provide.

The prior art disclosed in Patent Document 2 includes a step of acquiring vehicle driving information including speed information, acceleration information, and instantaneous fuel injection amount information from an electronic control system of a vehicle, Constructing a unit speed / unit acceleration matrix over time, recording the number of time counts in each cell of the unit speed / acceleration matrix using vehicle driving information, obtaining a counting number matrix of the speed section / acceleration section, Acquiring an interim fuel injection quantity matrix for each section by using the instant fuel injection quantity information and the unit speed / unit acceleration matrix of the vehicle driving information, combining the counting number matrix of the speed section / acceleration section and the instant fuel injection quantity matrix for each section, Obtaining a star average instantaneous injection quantity matrix, The analyzes.

In addition, the prior art disclosed in Patent Document 3 includes a vehicle and a vehicle terminal, and transmits data in real time from an M2M sensor / terminal that collects vehicle information through a sensor unit attached to the vehicle, an M2M sensor / M2M integrated control platform for protocol processing and data authentication / verification / control processing of vehicle information data, commercial vehicle telematics system supporting vehicle position control, vehicle control and remote diagnosis based on vehicle information received from M2M integrated control platform To implement the control system. With this configuration, the M2M integrated control platform can easily and quickly collect vehicle driving information through the functions of processing the optimal base services and protocols, and authenticating, verifying and controlling the service messages with various policies and environment settings in the interworking between the systems Verification, verification and control.

In addition, the prior art disclosed in Patent Document 4 not only stores driving record information on a vehicle, but also analyzes road traffic information including whether or not the road is stagnated and driver's driving habits, and when the driver enters the repeated driving section And provides a digital driving recorder that can be provided as a notification.

Korea Registered Patent 10-1497988 (Announcement of Mar. 4, 2014) (Safe Operation Index Calculation System) Korean Patent No. 10-1393479 (published on May 13, 2014) (Computer system for analyzing vehicle operation pattern) Korean Registered Patent No. 10-1498367 (Announcement of Mar. 5, 2015) (Control System and Method for Digital Vehicle Tracking System) Korean Registered Patent No. 10-1783859 (Published Oct. 10, 2017) (Digital driving recorder, road traffic information and driving habit notification method using the same)

However, the above-described related arts have a disadvantage in that it is difficult to provide safe driving information because only the information of the driving recorder provided in the vehicle is analyzed to provide safe driving information.

Particularly, since the conventional technologies provide safe operation information by analyzing only the situation information of the vehicle system and the inside of the vehicle, there is a limit to provide optimal safety information in a state in which the situation information outside the vehicle is not considered at all.

Accordingly, the present invention has been proposed in order to solve the above-mentioned problems required for existing vehicle safety and all the problems that arise in the related art, and it is an object of the present invention to provide a vehicle- And monitoring the driver's driving habits and analyzing them in a comprehensive manner to warn the driver of a dangerous situation in advance, thereby providing a safe driving method of the vehicle.

According to an aspect of the present invention, there is provided a safe operation apparatus for a vehicle, including: a first situation information collecting unit for acquiring information on a driver and a vehicle ahead; A digital running recorder for recording vehicle information for identifying a defect of the vehicle or a state of the vehicle; A second situation information collecting unit for detecting an obstacle in a direction and a vicinity of the vehicle; The first and second situation information collecting units and the digital running traffic recorder collectively analyze the image information, the obstacle detection information, and the vehicle information, respectively, to determine the risk factors. When the risk factors are estimated, A central processing unit for outputting; And an alarm / warning device for warning a danger based on a warning signal output from the central processing unit.

The first situation information collecting unit acquires a driver's image and a forward image of the vehicle using a camera.

The second situation information collecting unit may include a radar / rider and an ultrasonic sensor for detecting obstacles in the direction of the vehicle and obstacles in the vicinity of the vehicle.

In the above, the central processing unit includes digital running track data, vehicle speed information, RPM information, fuel amount information, brake information, slope information, rapid acceleration information, emergency stop information, rapid turn information, carbon emission amount information, Ultrasonic sensor information, radar and rider detection information, front camera information, and driver camera information are comprehensively analyzed to determine the risk factors, and the operation data is stored. When the risk factors are analyzed, the warning is generated. And transmits the information.

According to an aspect of the present invention, there is provided a method for safely operating a vehicle, the method comprising: (a) operating a driver in a central processing unit that controls overall operation of the safe operation, Acquiring a driver image and attempting driver authentication; (b) if the driver is an authorized driver as a result of attempting the driver authentication, turning on the vehicle start and obtaining analysis information for the safe operation analysis; (c) analyzing the analysis information acquired in the step (b) to determine whether or not the risk factor is present; (d) if there is no risk element as a result of the determination in step (c), storing analysis data as operation data, performing normal driving, and transmitting a warning signal when a dangerous element occurs.

In addition, the method for safely operating the vehicle according to the present invention may further comprise: (e) storing the analysis data as operation data when a dangerous element occurs in the step (d) and sending a warning signal, The method comprising the steps of:

In the step (b), information on the forward situation of the driver and the vehicle is acquired as an image, acquired as safe operation analysis information, and the information of the digital running recorder for recording the vehicle information is acquired And obtains the safe driving analysis information by sensing obstacles in the direction and the vicinity of the vehicle.

The step (c) includes the steps of: (c1) comparing the digital driving record data with the vehicle speed information, the RPM information, the fuel amount information, the brake information, the slope information, the rapid acceleration information, Analyzing the travel time information to determine the presence or absence of a risk factor; (c2) analyzing the distance information using the ultrasonic sensor to determine the presence or absence of a risk factor according to the distance from the obstacle; (c3) comprehensively analyzing the presence information and DTG information of the obstacle detected by the radar and the rider to determine whether there is a risk factor; (c4) comprehensively analyzing the forward image information and the DTG information acquired through the forward camera to determine the presence or absence of a risk factor; (c5) analyzing the driver image information acquired through the driver's camera to determine the presence or absence of a risk factor.

The step (c1) includes the steps of: (c11) determining the presence or absence of a risk factor based on the vehicle state information before the vehicle is driven; (c12) obtaining vehicle state information while the vehicle is running, and sensing a brake operation; (c13) determining whether the vehicle is overspeed based on the speed information in operation; (c14) determining whether RPM is present based on RPM information during operation; (c15) determining the presence or absence of a risk factor based on the sudden stop information during the operation; (c16) determining the presence or absence of a risk factor based on rapid acceleration information during operation; (c17) determining the presence or absence of a risk factor based on the high-speed rotation information during operation; (c18) determining whether a risk factor is present based on the vehicle impulse amount information during operation; (c19) determining the presence or absence of a risk factor based on the carbon emission amount information during operation; (c20) judging the presence or absence of a risk factor based on the running time information during the operation.

According to the present invention, the state of a large-sized vehicle and the driving habits of a driver are monitored using a digital running recorder (DTG) and various sensors installed in the vehicle, and the driver's habits are analyzed in a comprehensive manner, There is an advantage of driving safe driving.

In addition, when the driving information is analyzed in a comprehensive manner and predicted as a risk factor, it is immediately notified to the control center so that follow-up measures are taken promptly, thereby preventing an accident caused by a risk factor.

1 is a configuration diagram of a safe operation device of a vehicle according to the present invention;
FIG. 2 is a flowchart illustrating a method for safely driving a vehicle according to the present invention.
FIG. 3 illustrates an example of a process of analyzing safe operation data based on DTG data during the safe operation data analysis process of FIG. 2,
FIG. 4 illustrates an example of a process of analyzing safe operation data based on camera information in the process of analyzing the safe operation data of FIG. 2,
5 is a diagram illustrating an example of a process of analyzing safe operation data based on sensor information in the process of analyzing safe operation data of FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an apparatus and method for safely operating a vehicle according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram of a safe operation apparatus 100 for a vehicle according to a preferred embodiment of the present invention, which includes a first situation information collecting unit 110 for acquiring front situation information of a driver and a vehicle as images, (DTG) 120 for recording vehicle information in order to grasp the vehicle state, a second situation information collecting unit 130 (140) for detecting obstacles in the direction and the circumference of the vehicle, The obstacle detection information and the vehicle information respectively collected by the second situation information collecting units 110, 130 and 140 and the digital running traffic recorder 120 to comprehensively analyze the risk factors, A central processing unit 150 for outputting a warning signal when a risk occurrence is predicted, and an alarm / warning device 160 for warning a danger based on a warning signal output from the central processing unit 150.

The alarm / warning device 160 generates a warning alarm and visually displays a dangerous state using a display device or a warning display device.

Preferably, the first situation information collecting unit 110 acquires a driver's image and a forward image of the vehicle using a camera, and the second situation information collecting unit 130 (140) And a radar / rider and an ultrasonic sensor for detecting obstacles around the vehicle.

The operation of the safe operation device 100 according to the preferred embodiment of the present invention will now be described in detail.

First, when the driver sits at a predetermined position and turns on the vehicle using the starter key, the first situation information collecting unit 110 photographs the driver using the camera and performs central processing To the device (150).

The central processing unit 150 extracts the driver's face information, which is object information, from the image using basic image processing algorithms such as feature extraction or outline extraction from the driver image to be transmitted, and extracts the extracted driver's face information and registered driver's face information And the image comparison algorithm is compared with each other to judge whether or not they are matched. If it is determined that the two images do not coincide with each other, it is recognized as an unauthorized driver. Then, the start of the vehicle is blocked and an alarm is generated through the alarm / warning device 160. On the other hand, if it is determined that the two images coincide with each other due to high degree of similarity, it is recognized as an authorized driver and the vehicle is turned on.

Next, when the vehicle is started, the first situation information collecting unit 110 acquires the image of the vehicle driver and the image of the front of the vehicle, and uses the digital tachograph (DTG) Acquires various kinds of vehicle information, and acquires information on objects, obstacles, and the like in front, rear, side, and surroundings of the vehicle using a radar / rider and an ultrasonic sensor of the second situation information collecting units 130 and 140. Since the digital running recorder 120 is connected to the vehicle through the OBD-2 interface, it is preferable that the digital running recorder 120 acquires various vehicle information in cooperation with the digital running recorder 120 through the OBD-2 interface.

Next, each acquired information is stored in the internal memory as operation data, and analyzed in a comprehensive manner to determine the presence or absence of a risk factor. Although not shown in the drawing, it is preferable to acquire and utilize the current vehicle position information by using the GPS module as vehicle information.

The following methods are used to comprehensively analyze various information obtained to determine risk factors.

For example, when lane detection is performed through image processing of forward image information obtained through a front camera, and when lane departure occurs as a result of lane detection, direction indicator information is checked based on DTG information, If it is a lane departure, it is judged as a normal driving condition. On the other hand, if the turn signal is not operated and the lane departure occurs, it is judged as a risk factor. In addition, if the front vehicle detection, obstacle, and pedestrian are detected among the information acquired through the front camera, the vehicle speed and the brake operation information are confirmed through the DTG information. If the vehicle speed is lower than the reference speed or the brake is operated, Make judgment. On the other hand, if the vehicle speed is higher than the reference speed and the brake is not operated, it is determined that there is a risk of an accident if the front vehicle is detected or the obstacle and the pedestrian are detected. do.

In addition, it is determined whether the driver is in a drowsy driving state by checking the driver's state, that is, the forward-looking state, through the driver image processing acquired through the driver's camera, and the presence or absence of a risk factor is determined. The sleeping driving and the like can be judged by using the eye position information among the images of the driver.

Next, an impulse amount obtained by using the digital running track record data using vehicle speed information, RPM information, oil amount information, brake information, tilt information using an acceleration sensor, rapid acceleration information, emergency stop information, Information, carbon emission information, operating time information, and the like, to determine the presence or absence of a risk factor. It is preferable to prepare a reference value of each state beforehand in order to determine the presence or absence of a risk element by analyzing each state information and compare the obtained information with the reference value to determine whether the state is large or small. Each standard value can use the standard information provided by the vehicle manufacturer or the Korean road safety traffic.

For example, based on the vehicle state information before driving, it is determined whether the vehicle state is good or a failure has occurred, and if a failure occurs in the vehicle state, it is determined that there is an accident occurrence risk. Alternatively, if the vehicle state is good, the vehicle state information is obtained while driving, and the brake operation is detected. Next, it is determined whether or not the vehicle is overspeed based on the speed information while the vehicle is running. Otherwise, it is judged whether there is RPM or not based on RPM information, and if it is RPM state, it is judged as an accident risk. If it is not RPM, it is judged whether or not a sudden stoppage occurs during operation. If a sudden stoppage occurs, it is judged as a risk of an accident. If the emergency stoppage does not occur, it is judged as normal driving. In addition, if rapid acceleration information is generated during operation, it is judged as an accident occurrence risk. If rapid acceleration information does not occur, normal driving is judged. In addition, it is judged that there is a danger of an accident if high-speed rotation information is generated while the vehicle is running, and if the high-speed rotation information does not occur, it is judged that the vehicle is running normally. In addition, if a vehicle impact is generated based on the vehicle impact amount information during operation, it is determined that there is an accident occurrence. If the vehicle impact does not occur, it is determined that the vehicle is running normally. Also, by checking carbon emission information during operation, it is judged that an accident occurs when carbon emissions exceed a reference value, and if the carbon emission is below the reference value, it is judged that the vehicle is operated normally. In addition, the driving time during the operation is checked. If the driving time of the vehicle is longer than the predetermined time, it is judged as an accident. Otherwise, it is judged that the driving is normal if the driving time is shorter than the predetermined time.

Further, an obstacle near the vehicle (15 m or less) around the vehicle is detected by using an ultrasonic sensor installed at the front, rear, and side of the vehicle. When an obstacle is detected in the vicinity of the vehicle, DTG information is used to determine whether the vehicle speed is below the reference speed or whether the brake is operating. If the vehicle speed is lower than the reference speed or the brake is operated, If the vehicle speed is higher than the reference speed or the brake does not operate, it is judged as a risk of an accident.

Further, by using a radar installed in the front and rear of the vehicle, it is possible to detect the distance and the direction to other objects such as a vehicle, a person, and the like in forward and rearward directions of the vehicle, It detects the location and direction of surrounding obstacles and other objects. When an obstacle is detected within a set distance using a radar and a rider, DTG information is used to check whether the vehicle speed is lower than the reference speed or the brake is operated. If the vehicle speed is lower than the reference speed or the brake is operated, . On the other hand, if the vehicle speed is higher than the reference speed or the brake does not operate, it is judged as a risk of an accident.

If there is no risk factor, analysis data is stored as operation data and normal vehicle operation is performed. If there is a risk factor in any one of the processes, the analysis data is stored as operation data, and an alarm and warning message is displayed through the alarm / warning device 160. The driver recognizes when an alarm occurs, looks around the vehicle, or sees a warning message displayed on the display device and identifies surrounding risks. Then, by appropriately controlling the vehicle operation correspondingly, the safe driving is achieved.

In addition, when the central processing unit (150) detects a dangerous element, the central processing unit (150) additionally transmits the dangerous element information to the control center. For example, information on the risk of a driver having trouble in driving due to a nearby vehicle, a nearby obstacle, or the like is transmitted to a control center so that follow-up measures can be taken.

FIG. 2 is a flowchart illustrating a method for safely operating a vehicle according to the present invention. Referring to FIG. 2, (a) when a driver is seated in a central processing unit 150 for controlling the overall operation of safe operation, (S101 to S103) of acquiring a driver image and attempting driver authentication; (b) if the driver is an authorized driver as a result of attempting the driver authentication, turning on the vehicle start and acquiring analysis information for safe operation analysis (C) analyzing the analysis information acquired in the step (b) to determine the presence or absence of a risk factor (S106); (d) if it is determined in step (c) (S107 to S109); and (e) when a dangerous element occurs in the step (d) and a warning signal is transmitted When you analyze the data, And transmitting the risk factor information to the control center (S110).

3 to 5, the step (c) includes the steps of: (c1) comparing the data of the digital driving recorder 120 with the vehicle speed information, the RPM information, the fuel amount information, the brake information, (S201 to S212), (c2) analyzing the distance information using the ultrasonic sensor and analyzing the distance information according to the distance between the obstacle and the obstacle (S404 to S405); (c3) a step of collectively analyzing the presence / absence information of the obstacle detected by using the radar and the rider and the DTG information to determine whether there is a risk factor (S402 to S403) (c4) analyzing the forward image information and the DTG information acquired through the forward camera to determine whether there is a risk factor (S303 to S306), (c5) analyzing the driver image information acquired through the driver's camera And a step (S302) for determining a risk or not.

The step (c1) comprises the steps of: (c11) determining whether a risk factor is present based on the vehicle state information before the vehicle is operated (S201 to S202), (c12) S204), (c13) determining whether or not the vehicle is overspeed based on the speed information in operation (S205), (c14) determining whether there is an RPM based on the RPM information in operation (S206), (c15) (S207); (c16) determining whether the risk factor is present based on the rapid acceleration information during operation (S208); (c17) determining whether the risk factor is present based on the high- (C18) determining whether or not a risk factor is present based on information on the amount of vehicle impact during operation S210, (c19) determining whether a risk factor is present based on the carbon emission amount information during operation S220, (c20) Determining whether the risk factor is present based on the time information (S212) .

A method for safely operating the vehicle according to the preferred embodiment of the present invention will now be described in detail.

First, in step S101, the central processing unit 150 sits at a predetermined position of the driver, and if the vehicle is turned on by using the ignition key, And acquires the driver image.

Then, the step central processing unit 150 extracts driver face information, which is object information, from the image using a basic image processing algorithm such as feature extraction or outline extraction from the driver image to be transmitted, The registered driver face information is compared with the image comparison algorithm to determine whether or not they match. If it is determined that the two images do not match due to the low degree of similarity as a result of the determination, the process proceeds to step S104 to recognize the vehicle as an unauthorized driver, to prevent the vehicle from starting, and to generate an alarm through the alarm / do. If it is determined that the two images coincide with each other, the process proceeds to step S105, recognizing the two as authorized drivers, and turning on the vehicle.

Next, when the vehicle is started in step S106, the first situation information collecting unit 110 is used to acquire a video image of the vehicle driver and an image in front of the vehicle, and a digital tachograph (DTG) Acquires various vehicle information by using the first situation information collecting unit 130 and 140 and obtains information such as objects, obstacles, and the like on the front, rear, side and vicinity of the vehicle using the radar / do. Since the digital running recorder 120 is connected to the vehicle through the OBD-2 interface, it is preferable that the digital running recorder 120 acquires various vehicle information in cooperation with the digital running recorder 120 through the OBD-2 interface.

Next, each information obtained in step S107 is stored in the internal memory as operation data and analyzed in a comprehensive manner to determine the presence or absence of a risk factor. Although not shown in the drawing, it is preferable to acquire and use current vehicle position information by using a GPS module as vehicle information.

A method of collectively analyzing various acquired information to determine a risk factor will be described with reference to FIGS. 3 to 5. FIG.

For example, the vehicle speed information, the RPM information, the oil amount information, the brake information, the slope information using the acceleration sensor, the rapid acceleration information, the emergency stop information, the impulse amount information obtained by using the impact sensor, And information on driving time, etc., to determine the presence or absence of a risk factor. It is preferable to prepare a reference value of each state beforehand in order to determine the presence or absence of a risk element by analyzing each state information and compare the obtained information with the reference value to determine whether the state is large or small. Each standard value can use the standard information provided by the vehicle manufacturer or the Korean road safety traffic.

That is, in step S201, the vehicle state information is obtained, and in step S202, it is determined whether the vehicle state is good or a failure has occurred based on the vehicle state information. If a failure occurs in the vehicle state, . Otherwise, if the vehicle condition is good, the vehicle state information is obtained during operation in step S203, and the brake operation is sensed in step S204. Next, in step S205, it is determined whether or not the vehicle is overspeed based on the running speed information. If the vehicle is overspeed, the process goes to step S109, where it is determined that there is an accident occurrence. Otherwise, the process proceeds to step S206 to determine whether there is an RPM based on the RPM information. If the RPM is in the over RPM state, the process proceeds to step S109 to determine the risk of an accident. If not, the routine proceeds to step S207, where it is determined whether or not a sudden stoppage has occurred. If a sudden stoppage occurs, the routine proceeds to step S109, where it is determined that there is a risk of an accident. do. If the rapid acceleration information is generated in step S208, the process proceeds to step S109, where it is determined that there is a risk of an accident. If no rapid acceleration information is generated, it is determined that the vehicle is running normally. If high-speed rotation information is generated in step S209, the process proceeds to step S109, where it is determined that there is an accident occurrence. If no high-rotation information is generated, it is determined that the vehicle is running normally. If a vehicle impact occurs on the basis of the vehicle impact amount information during operation in step S210, the process proceeds to step S109, where it is determined that there is a risk of an accident. If the carbon emission amount exceeds the reference value in step S211, the process proceeds to step S109 to determine that it is an accident occurrence risk. If the carbon emission amount is less than the reference value, it is determined that the vehicle is running normally. If it is determined that the vehicle operation time is longer than the predetermined reference time, the process proceeds to step S109 to determine that the vehicle is in danger of an accident. Otherwise, if the vehicle operation time is less than the predetermined reference time, do.

Meanwhile, as the safe operation data analysis process, an obstacle near the vehicle (15 m or less) around the vehicle is detected using an ultrasonic sensor installed at the front, rear, and side of the vehicle as in step S404. If an obstacle is detected in the vicinity of the vehicle, the flow advances to step S405 to check whether the vehicle speed is equal to or higher than the reference speed or the brake is operated based on the DTG information. If it is determined that the vehicle speed is less than the reference speed and the brake is in operation, it is determined that the vehicle is in a normal driving state. Otherwise, if the vehicle speed is equal to or higher than the reference speed and the brake does not operate, .

Further, in step S402, a distance and a direction to vehicles, people, and other objects in front and behind the vehicle are detected using a radar installed in the front and rear of the vehicle, and a laser beam is radiated using a rider LIDAR To detect the position and direction of obstacles and other objects around the vehicle. If an obstacle is detected within the set distance as a result of the detection using the radar and the rider, the process proceeds to step S403 to check whether the vehicle speed is equal to or higher than the reference speed or the brake is operated based on the DTG information. If it is determined that the vehicle speed is less than the reference speed and the brake is in operation, it is determined that the vehicle is in a normal driving state. Otherwise, if the vehicle speed is equal to or higher than the reference speed and the brake does not operate, .

Further, in step S303, when the lane detection, the front vehicle detection, the obstacle and the pedestrian are detected through the image processing of the front image information acquired through the front camera, and the lane departure or the front vehicle or the obstacle (pedestrian) Element.

For example, in step S303, the lane detection is performed through the image processing of the front image information acquired through the front camera, and when lane departure is detected as the lane detection result, the flow advances to step S304 to check the direction indicator information based on the DTG information, If the turn signal lamp is operated, it is determined that the vehicle is in a normal running state. On the other hand, if the turn signal is not operated and the lane departure occurs, it is judged as a risk factor. If it is determined in step S305 that the front vehicle detection, the obstacle, and the pedestrian are detected among the information obtained through the front camera, the process proceeds to step S306 to check the vehicle speed and the brake operation information through the DTG information. If the vehicle speed is below the reference speed, It is determined that the vehicle is running normally. If the vehicle speed is higher than the reference speed and the brake is not operated as a result of checking the vehicle speed and the brake operation information through the DTG information while the front vehicle is detected or the obstacle and the pedestrian are detected, Judge that there is a risk.

In step S302, it is determined whether the driver is in a drowsy driving state by checking the driver's state, that is, the forward-looking state, through the driver image processing acquired through the driver's camera. The sleeping driving and the like can be judged by using the eye position information among the images of the driver.

If there is no risk factor, the process proceeds to step S109 to store analysis data as operation data and to perform normal vehicle operation through the above process.

If it is determined in step S108 that there is a risk factor, the process proceeds to step S109 to display an alarm occurrence and a warning message through the alarm / warning device 160. [ The driver recognizes when an alarm occurs, looks around the vehicle, or sees a warning message displayed on the display device and identifies surrounding risks. Then, by appropriately controlling the vehicle operation correspondingly, the safe driving is achieved.

If the central processing unit 150 finds a risk factor, the central processing unit 150 moves to step S111 and additionally sends the risk factor information to the control center. For example, information on the risk of a driver having trouble in driving due to a nearby vehicle or a nearby obstacle or driving the driver to a control center is sent to the control center so that follow-up action can be taken. The control center shall transmit the information of the possible risk of the accident to the related organization (police station, fire department, etc.) so that the accident can be prevented by prompt action.

As described above, the present invention is not limited to the use of only the vehicle driving information using the DTG as in the conventional art, but also includes the vehicle information, the forward image and the driver image using the camera, the obstacle detection using the radar / rider / ultrasonic sensor, And the risk factors are analyzed. Then, when an accident is predicted to occur due to a risk factor, the driver is alerted through an alarm and display device, thereby allowing the driver to recognize it and to drive the safe driving. In addition, if an accident is predicted, the risk information is automatically sent to the control center, and the control center transmits the information to the linking organization so that the follow-up action can be taken promptly to prevent an accident from occurring.

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 exemplary embodiments, but, on the contrary, It is obvious to those who have.

The present invention is applied to a technology for acquiring information by using digital running record data and various sensors in a large-sized vehicle, and analyzing the information to ensure safe driving.

100: Safety driving device of the vehicle
110: first situation information collecting unit
120: Digital Tachometer (DTG)
130, 140: a second situation information collecting unit
150: central processing unit
160: Alarm / warning device

Claims (9)

delete delete delete delete A first situation information collecting unit for acquiring information on the forward situation of the driver and the vehicle as an image, a digital running recorder for recording vehicle information for detecting a defect or vehicle condition of the vehicle, The second situation information collecting unit, the first and second situation information collecting units, and the digital trajectory collecting unit collectively analyze the image information, the obstacle sensing information, and the vehicle information to determine the risk factors, And an alarm / warning device for warning a danger based on an alarm signal outputted from the central processing unit, and a control unit for controlling the vehicle information and the vicinity of the vehicle The present invention provides a method for providing safe driving information by comprehensively considering situation information of a vehicle,
(a) attempting driver authentication by acquiring a driver image and operating a key when the driver is seated in a central processing unit that controls the entire operation of the safe operation;
(b) if the driver is an authorized driver as a result of attempting the driver authentication, turning on the vehicle start and obtaining analysis information for the safe operation analysis;
(c) analyzing the analysis information acquired in the step (b) to determine whether or not the risk factor is present;
(d) storing analysis data as operational data if there is no risk element as a result of the determination in the step (c), performing normal driving, and transmitting a warning signal when a dangerous element occurs; And
(e) storing the analysis data as operation data when a dangerous element occurs in the step (d) and sending a warning signal, and automatically transmitting the risk factor information to the control center,
The step (e) may automatically transmit the risk factor determination information to the control center in which the driver of the vehicle experiences a trouble in the surrounding vehicle,
Wherein the step (c) includes the steps of: (c1) comparing the digital running traffic data and the vehicle speed information, the RPM information, the fuel amount information, the brake information, the slope information, the rapid acceleration information, Analyzing time information to determine the presence or absence of a risk factor; (c2) analyzing the distance information using the ultrasonic sensor to determine the presence or absence of a risk factor according to the distance from the obstacle; (c3) comprehensively analyzing the presence information and DTG information of the obstacle detected by the radar and the rider to determine whether there is a risk factor; (c4) comprehensively analyzing the forward image information and the DTG information acquired through the forward camera to determine the presence or absence of a risk factor; (c5) analyzing the driver image information acquired through the driver's camera to determine the presence or absence of a risk factor.
delete The method as claimed in claim 5, wherein the step (b) comprises the steps of: acquiring the forward situation information of the driver and the vehicle as images and acquiring the information as the safe driving analysis information; Is obtained as safe operation analysis information, and an obstacle in the direction of the vehicle and an obstacle in the vicinity thereof is detected to obtain safe operation analysis information.
delete [8] The method of claim 5, wherein the step (c1) comprises: (c11) determining the presence or absence of a risk factor based on vehicle state information before the vehicle is driven; (c12) obtaining vehicle state information while the vehicle is running, and sensing a brake operation; (c13) determining whether the vehicle is overspeed based on the speed information in operation; (c14) determining whether RPM is present based on RPM information during operation; (c15) determining the presence or absence of a risk factor based on the sudden stop information during the operation; (c16) determining the presence or absence of a risk factor based on rapid acceleration information during operation; (c17) determining the presence or absence of a risk factor based on the high-speed rotation information during operation; (c18) determining whether a risk factor is present based on the vehicle impulse amount information during operation; (c19) determining the presence or absence of a risk factor based on the carbon emission amount information during operation; (c20) judging the presence or absence of a risk factor based on the running time information during the running of the vehicle.

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