KR20100075232A - Apparatus and method for processing of vehicle driving state information and record medium - Google Patents

Abstract

PURPOSE: A vehicle driving state information processing method, an apparatus thereof, and a recording medium thereof are provided to improve the accuracy and the reliability of a vehicle driving state record at a point of accident occurrence. CONSTITUTION: A timer(150) synchronizes the vehicle driving status record time. The vehicle operation state record cycle is decided. A position information calculator(125) calculates the location information corresponding to the vehicle operation status write cycle. An acceleration information calculating unit(130) calculates the acceleration information corresponding to the vehicle operation state write cycle.

Description

Apparatus and Method for Processing of Vehicle Driving State Information and Record Medium}

1 is a diagram showing a functional configuration of a vehicle driving state information processing apparatus according to an embodiment of the present invention.

2 is a diagram illustrating a process of determining a vehicle driving state recording period of a vehicle driving state information processing apparatus according to an embodiment of the present invention.

3 is a diagram illustrating a process of calculating position information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

4 is a diagram illustrating a process of correcting location information corresponding to a vehicle driving state recording period according to an exemplary embodiment of the present invention.

5 is a diagram illustrating a process of correcting location information corresponding to a vehicle driving state recording period according to another exemplary embodiment of the present invention.

6 is a diagram illustrating a process of calculating acceleration information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

7 is a diagram illustrating a process of correcting acceleration information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

8 is a diagram illustrating a process of correcting acceleration information corresponding to a vehicle driving state recording cycle according to another exemplary embodiment of the present invention.

9 is a diagram illustrating a process of calculating movement direction information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

10 is a diagram illustrating a process of correcting moving direction information corresponding to a vehicle driving state recording period according to an exemplary embodiment of the present invention.

FIG. 11 is a diagram illustrating a process of correcting moving direction information corresponding to a vehicle driving state recording period according to another exemplary embodiment of the present invention.

12 is a diagram illustrating a process of calculating slope information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

13 is a diagram illustrating a process of calculating speed information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

14 is a diagram illustrating a process of generating vehicle driving state information corresponding to a vehicle driving state recording cycle according to an embodiment of the present invention.

15 is a diagram illustrating an accident occurrence processing process according to an embodiment of the present invention.

<Description of main parts of drawing>

100: positioning position 105: acceleration sensing unit

110: direction sensing unit 115: control unit

120: speed information calculator 125: location information calculator

130: acceleration information calculation unit 135: accident occurrence confirmation unit

140: movement direction information calculation unit

145: slope information calculation unit

150: timer unit 155: location information correction unit

160: acceleration information correction unit

165: movement direction information correction unit

170: information generating unit 175: information storage unit

180: memory unit

185: power supply 190: battery

The present invention includes a GPS unit, an acceleration sensor, a gyro sensor, obtains visual data and position data of the vehicle from the GPS unit while driving the vehicle, obtains acceleration data of the vehicle from the acceleration sensor, and obtains the vehicle from the gyro sensor. A method of processing vehicle driving state information through a sensor module that acquires movement direction data of a vehicle, the method comprising: synchronizing a vehicle driving state recording time including position information, acceleration information, and movement direction information of the vehicle through the time data; Determining a vehicle driving state recording period in which the vehicle driving state information is to be recorded; Checking whether the position data, acceleration data, and movement direction data of the vehicle are measured from the sensor module in an n (n> 1) vehicle driving state recording period; If there is data that is not measured in the n-th driving state recording period among the position data, the acceleration data, and the moving direction data, the data of the n-th driving state recording period is predicted based on the data of the previous period, Calculating n-th position information, n-th acceleration information, and n-th moving direction information of the n-th driving state recording period based on the predicted data and the data measured by the sensor module; And generating n-th vehicle driving state information by synchronizing n-th position information, n-th acceleration information, and n-th movement direction information of the vehicle with respect to a synchronization time. will be.

Accidents caused by vehicles are rapidly increasing as automobiles become a necessity for life, and WHO anticipates vehicle accidents as the third leading cause of injury or death by 2020. Meanwhile, the increase in vehicle accidents has increased the necessity of analyzing the cause of the vehicle accident, and thus has been equipped with various accident recording apparatus for analyzing the cause of the vehicle accident at the time of the vehicle accident.

The initial concept of the accident recorder installed in the vehicle was developed by the US National Highway Highway Safety Agency (NHTSA) in the 1970s and developed a device that can store collision signals from vehicles. In 1992, the European Union developed the same device and piloted it on 850 vehicles.In 1999, the US Federal Traffic Safety Administration recommended that all school buses be mandatory. have.

On the other hand, conventional accident recording apparatus can be classified into two types. One is to record the data sensed by various kinds of sensors (e.g., airbag, speed, brake, RPM, etc.) equipped in the vehicle, and the other is to record the image data at the time of accident through the image acquisition device. will be.

Here, the former is unreliable for accidents caused by vehicle defects, component damages, and sensor malfunctions, and damages to parts and sensors after an accident due to the characteristics of an accident recorder that must record data for a certain time after the vehicle accident. The data recorded by the above has an unreliable problem, and the latter has a problem that there is no basis for analyzing the cause of the accident other than the image data obtained through the image acquisition apparatus.

SUMMARY OF THE INVENTION An object of the present invention for solving the above problems is to include a GPS unit, an acceleration sensor, a gyro sensor, obtain visual data and position data of the vehicle from the GPS unit while driving the vehicle, and obtain acceleration data of the vehicle from the acceleration sensor. A method of processing vehicle driving state information through a sensor module for acquiring a moving direction data of a vehicle from the gyro sensor, the method comprising: position information, acceleration information, and moving direction information of the vehicle through the visual data; Synchronizing a vehicle driving state recording time to determine a vehicle driving state recording period in which the vehicle driving state information is to be recorded; Checking whether the position data, acceleration data, and movement direction data of the vehicle are measured from the sensor module in an n (n> 1) vehicle driving state recording period; If there is data that is not measured in the n-th driving state recording period among the position data, the acceleration data, and the moving direction data, the data of the n-th driving state recording period is predicted based on the data of the previous period, Calculating n-th position information, n-th acceleration information, and n-th moving direction information of the n-th driving state recording period based on the predicted data and the data measured by the sensor module; And generating n-th vehicle driving state information in which n-th position information, n-th acceleration information, and n-th moving direction information of the vehicle are synchronized based on a synchronization time. have.

The vehicle driving state information processing method according to the present invention for achieving the above object comprises a GPS unit, an acceleration sensor, a gyro sensor, obtains visual data and position data of the vehicle from the GPS unit while the vehicle is driving, A method of processing vehicle driving state information through a sensor module for acquiring acceleration data of a vehicle from a sensor and obtaining movement direction data of the vehicle from the gyro sensor, the position information and acceleration information of the vehicle through the visual data. And synchronizing a vehicle driving state recording time including movement direction information to determine a vehicle driving state recording period in which the vehicle driving state information is recorded. Checking whether the position data, acceleration data, and movement direction data of the vehicle are measured from the sensor module in an n (n> 1) vehicle driving state recording period; If there is data that is not measured in the n-th driving state recording period among the position data, the acceleration data, and the moving direction data, the data of the n-th driving state recording period is predicted based on the data of the previous period, Calculating n-th position information, n-th acceleration information, and n-th moving direction information of the n-th driving state recording period based on the predicted data and the data measured by the sensor module; And generating n-th vehicle driving state information by synchronizing the n-th position information, the n-th acceleration information, and the n-th movement direction information of the vehicle with respect to the synchronization time.

Here, the calculating of the n-th position information, the n-th acceleration information, and the n-th movement direction information of the n-th vehicle driving state recording period may include determining the position data measured in the n-th vehicle driving state recording period. When the n-th position information of the vehicle is calculated based on the measured position data, and the position data is not measured in the n-th driving state recording period, the n-th vehicle driving state recording period may be determined from one or more previously measured position data. Predict position data, calculate n-th position information of the vehicle based on the predicted position data, and if the measured acceleration data is confirmed in the n-th driving state recording period, the measured acceleration data may be used to determine the position data. Calculate the n-th acceleration information of the vehicle, and if the acceleration data is not measured in the n-th driving state recording period, the previously measured From the above acceleration data, the acceleration data of the n-th driving state recording period is predicted, the n-th acceleration information of the vehicle is calculated from the predicted acceleration data, and the moving direction measured in the n-th driving state recording period. If the data is confirmed, the n-th moving direction information of the vehicle is calculated based on the measured moving direction data, and if the moving direction data is not measured in the n-th driving state recording period, one or more previously measured moving direction data Predicting the movement direction data of the n-th vehicle driving state recording period from the calculation, and calculating the n-th movement direction information of the vehicle based on the predicted movement direction data.

In addition, when the n-th position information of the vehicle is calculated through the predicted position data, confirming next measurement position data from the sensor module; And correcting the n-th position information through the previously measured one or more position data and the next measured position data when the next measured position data is confirmed.

In addition, when the n-th position information of the vehicle is calculated through the predicted position data, confirming next measurement position data from the sensor module; Confirm the time when the next position data was measured, predict the position data of the actual time, compare the next actual position data with the next prediction data, and the next actual position data is set to the next predicted position data and a preset error range. Checking whether it deviates; Calculating n 'position information for a singular point between the (n-1) th position information and the nth position information based on the next measured position data, when it is determined that the set error range is out of the range; Checking a time at which the next measured position data is measured and calculating n 'acceleration information and n' moving direction information of the measured time; And generating n-th 'vehicle driving state information by synchronizing n-th position information, n-th acceleration information, and n-th movement direction information of the vehicle through the measured time.

And when the nth acceleration information of the vehicle is calculated through the predicted acceleration data, confirming the next measured acceleration data from the sensor module; And correcting the n-th acceleration information through the previously measured one or more acceleration data and the next measured acceleration data when the next measured acceleration data is confirmed.

The method may further include: verifying next measurement acceleration data from the sensor module when the n-th acceleration information of the vehicle is calculated through the predicted acceleration data; Check the time when the next acceleration data was measured, predict the acceleration data of the measured time, compare the next measured acceleration data with the next predicted data, and the next measured acceleration data corresponds to the next predicted acceleration data and a preset error range. Checking whether it deviates; Calculating n 'acceleration information for a singular point between the (n-1) th acceleration information and the nth acceleration information based on the next measured acceleration data when it is determined that the set error range is out of the range; Checking a time at which the next measured acceleration data is measured and calculating n 'position information and n' moving direction information of the measured time; And generating n-th 'vehicle driving state information by synchronizing n-th position information, n-th acceleration information, and n-th movement direction information of the vehicle through the measured time.

In addition, when the n-th movement direction information of the vehicle is calculated based on the predicted movement direction data, confirming next measurement movement direction data from the sensor module; And correcting the n-th moving direction information through the previously measured one or more moving direction data and the next measured moving direction data when the next measured moving direction data is confirmed.

On the other hand, when the n-th movement direction information of the vehicle is calculated through the predicted movement direction data, checking the next measured movement direction data from the sensor module; Confirm the time at which the next moving direction data was measured, predict the moving direction data of the measured time, compare the next measured moving direction data with the next predicted data, and the next measured moving direction data is the next predicted moving direction data; Checking whether it is out of a preset error range; Calculating n 'moving direction information for a singular point between the (n-1) th moving direction information and the nth moving direction information based on the next measured moving direction data when it is determined that the set error range is out of the range; Checking a time at which the next measured movement direction data is measured and calculating n 'position information and n' acceleration information of the measured time; And generating n-th 'vehicle driving state information by synchronizing n-th position information, n-th acceleration information, and n-th movement direction information of the vehicle through the measured time.

Here, when the occurrence of the accident is confirmed in the n-th vehicle driving state recording period, the n-th vehicle driving state information from the (nj, (1 <= j <n)) vehicle driving state information based on the n-th driving state recording period that occurred. (N + k) post-accident vehicle information up to (nj) pre-incident vehicle operation status information and (n + 1) vehicle operational status information up to (n + k, k> 1) vehicle operational status information The method may further include storing the driving state information in association with the memory unit.

The n-th vehicle driving state information may further include n-th speed information and n-th slope information corresponding to the n-th vehicle driving state recording period.

On the other hand, the present invention includes a computer-readable recording medium characterized by recording a program for executing the method.

The vehicle driving state information processing apparatus according to the present invention for achieving the above object comprises a GPS unit, an acceleration sensor, a gyro sensor, and obtains the visual data and the position data of the vehicle from the GPS unit during the vehicle driving, the acceleration A vehicle driving state information processing device including a sensor module for acquiring acceleration data of a vehicle from a sensor and obtaining movement direction data of the vehicle from the gyro sensor, wherein the vehicle position information, acceleration information, and A timer unit configured to determine a vehicle driving state recording period in which the vehicle driving state information is recorded by synchronizing a vehicle driving state recording time including moving direction information; A position information calculator for calculating n-th position information corresponding to the determined n-th (n> 1) vehicle driving state recording period; An acceleration information calculator configured to calculate n-th acceleration information corresponding to the n-th vehicle driving state recording period; A movement direction information calculator configured to calculate n-th movement direction information corresponding to the n-th vehicle driving state recording period; And an information generator for generating n-th vehicle driving state information including the n-th position information, the n-th acceleration information, and the n-th movement direction information.

Here, the position information calculator determines whether the position data of the vehicle is measured from the sensor module in an n (n> 1) vehicle driving state recording period, and the position data measured in the nth vehicle driving state recording period is If it is confirmed, the n-th position information of the vehicle is calculated from the measured position data, and if the position data is not measured in the n-th driving state recording period, the n-th vehicle operation is performed from one or more previously measured position data. The position data of the state recording period may be predicted, and the n th position information of the vehicle may be calculated based on the predicted position data.

The acceleration information calculating unit may determine whether the acceleration data of the vehicle is measured from the sensor module in an nth vehicle driving state recording period, and when the acceleration data measured in the nth driving state recording period is confirmed, the actual measurement is performed. And calculate the nth acceleration information of the vehicle through the received acceleration data, and if the acceleration data is not measured in the nth driving state recording period, the acceleration of the nth driving state recording period from the previously measured one or more acceleration data. The data may be predicted, and the n-th acceleration information of the vehicle may be calculated based on the predicted acceleration data.

The moving direction information calculator may determine whether the moving direction data of the vehicle is measured from the sensor module in an nth driving state recording period, and when the moving direction data measured in the nth driving state recording period is confirmed. And calculating the n-th moving direction information of the vehicle through the measured moving direction data, and if the moving direction data is not measured in the n-th driving state recording period, from the previously measured one or more moving direction data. The moving direction data of the vehicle driving state recording period may be predicted, and the nth moving direction information of the vehicle may be calculated based on the predicted moving direction data.

Hereinafter, with reference to the accompanying drawings and description will be described in detail the operating principle of the preferred embodiment of the present invention. However, the drawings and the following description shown below are for the preferred method among various methods for effectively explaining the features of the present invention, the present invention is not limited only to the drawings and description below. In addition, in the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, terms to be described below are terms defined in consideration of functions in the present invention, which may vary according to a user's or operator's intention or custom. Therefore, the definition should be made based on the contents throughout the present invention.

In addition, preferred embodiments of the present invention to be carried out below are provided in each system functional configuration to efficiently describe the technical components constituting the present invention, or system functions that are commonly provided in the technical field to which the present invention belongs. The configuration will be omitted, and described mainly on the functional configuration to be additionally provided for the present invention. If those skilled in the art to which the present invention pertains, it will be able to easily understand the function of the components that are conventionally used among the omitted functional configuration not shown below, and also the configuration omitted as described above The relationship between the elements and the components added for the present invention will also be clearly understood.

In addition, the following examples will be used to appropriately modify, integrate, or separate the terminology so that those skilled in the art to which the present invention pertains may clearly understand the present invention. The present invention is by no means limited thereto.

As a result, the technical spirit of the present invention is determined by the claims, and the following examples are one means for efficiently explaining the technical spirit of the present invention to those skilled in the art to which the present invention pertains. It is only.

1 is a diagram showing the configuration of a vehicle driving state information processing apparatus according to an embodiment of the present invention.

In more detail, Figure 1 includes a GPS unit, an acceleration sensor, a gyro sensor, and operates independently of the vehicle in addition to a power supply to include one or more positions, speeds, accelerations, directions of movement, and inclination of the vehicle. As shown in FIG. 1, a vehicle driving state information processing device generates a vehicle driving state information synchronized to a confirmed time point and stores vehicle driving state information in a memory for a predetermined time before and after the occurrence of an accident. For those of ordinary skill in the art to which the present invention pertains, various implementation methods (e.g., some components may be omitted) may be omitted by referring to and / or modifying the drawing of FIG. Granular or combined implementation methods) may be inferred, but the present invention is directed to It is made, including the municipal method, the technical features are not limited only to the implementation method shown in FIG.

According to the present invention, the vehicular driving state information processing apparatus includes a GPS unit for a vehicle that receives satellite signals for positioning from a plurality of GPS (Global Positioning System) satellites and obtains positioning data necessary for 3D positioning of the vehicle; Acceleration sensor for calculating the three-dimensional acceleration / deceleration acceleration in the front / rear / up / down direction based on the vehicle traveling direction, and senses the acceleration signal for checking whether the vehicle accident occurred, and before / after the vehicle traveling direction reference Characterized in that it comprises a gyro sensor for sensing the gyro signal for calculating the three-dimensional movement direction of the / left / right / up / down direction and the vehicle tilt, the person having ordinary skill in the art If you are familiar with the technical features of the GPS unit (eg, D-GPS, A-FPS, DR-GPS, etc.), acceleration sensor and gyro sensor, A description thereof will be omitted for convenience.

The vehicle driving state information processing device may include a power supply unit 185 for supplying power to the vehicle driving state information processing device in connection with a power applying device provided in a vehicle, and by the power supply unit 185. The battery 190 is charged by using a part of the supplied power, and when the power supply is cut off, the battery 190 supplies power to the vehicle driving state information processing device for a predetermined time instead of the power supply unit 185. Characterized in that the present invention, those skilled in the art to which the present invention belongs, the technical features for supplying power to the vehicle driving state information processing device through the power supply unit 185 and the battery 190 Since it will be understood, a detailed description thereof will be omitted for convenience.

The vehicle driving state information processing device may include a memory unit 180 that stores vehicle driving state information for a predetermined time before and after an accident occurs.

Referring to FIG. 1, the vehicle driving state information processing apparatus acquires positioning data necessary for positioning a vehicle in three dimensions from the GPS unit, and calculates three-dimensional position data of the vehicle from the obtained positioning data. From the positioning unit 100 and the acceleration sensor to calculate the three-dimensional acceleration / deceleration acceleration of the vehicle and to sense the acceleration signal necessary to confirm whether an accident occurred, and by digitizing the sensed acceleration signal to the vehicle travel direction reference all / An acceleration sensing unit 105 for calculating three-dimensional acceleration / deceleration acceleration data in the rear / up / down direction, and a gyro signal necessary for calculating a three-dimensional movement direction and a vehicle tilt of the vehicle from the gyro sensor, Sensing gyro signal is digitized and 3D movement direction data of the front / rear / left / right / up / down direction based on the vehicle direction And the direction sensing unit (110) for calculating a group of data characterized in that comprises a sensor module having one or more than one.

The GPS unit receives a predetermined satellite signal from at least four GPS satellites existing for the horizon among 24 GPS satellites running on the Earth's orbit, and reads the satellite signal according to a predetermined reading algorithm and intentional error. When the position data is calculated, the position positioning unit 100 obtains the positioning data from the GPS unit, and stores the three-dimensional position data of the vehicle on a three-dimensional coordinate plane based on the obtained positioning data. In the process of calculating the position data, the position location unit 100 is characterized in that further obtaining and calculating the standard time information by the satellite signal.

The acceleration sensor / deceleration acceleration signal, the rearward acceleration / deceleration acceleration signal, the upward acceleration / deceleration acceleration signal, and the downward acceleration / deceleration acceleration signal of the vehicle in the acceleration sensor aligned with the forward / rear frame direction of the vehicle. When sensing the three-dimensional acceleration / deceleration acceleration signal including the above, the acceleration sensing unit 105 obtains the three-dimensional acceleration / deceleration acceleration signal sensed from the acceleration sensor, and the obtained acceleration signal ADC (Analog) to three-dimensional acceleration data in the front, rear, up, and down directions based on the vehicle traveling direction by digitizing according to a to Digital Converter.

In the gyro sensor aligned with the forward / rear frame direction of the vehicle, the gyro signal in the forward direction, the gyro signal in the rear direction, the gyro signal in the left direction, 3D gyro signals in the front / rear / left / right / up / down direction including (or combining) one or more gyro signals in the right direction, gyro signals in the upward direction, and gyro signals in the downward direction, and the front / rear of the vehicle. One or more tilt signals in the forward direction, backward inclination signals, left inclination signals, right inclination signals, inclination signals in the upward direction, and inclination signals in the downward direction based on the backward frame direction. When sensing a three-dimensional tilt signal in the front / rear / left / right / up / down direction, the direction sensing unit 110 obtains the three-dimensional gyro signal and the three-dimensional tilt signal sensed from the gyro sensor, The acquired one Digitizing the three-dimensional gyro signal on the basis of a preset ADC method to calculate three-dimensional movement direction data based on the vehicle traveling direction, and digitizing the obtained one or more three-dimensional tilt signals according to a preset ADC method. It is characterized in that for calculating the three-dimensional inclination data based on the front / rear frame direction of the vehicle.

According to the exemplary embodiment of the present invention, the position positioning unit 100, the acceleration sensing unit 105, and the direction sensing unit 110 may use three sensing / location periods and three sampling rates. It is preferable to calculate the dimensional position data, the three-dimensional acceleration data, the three-dimensional movement direction data, and the three-dimensional gradient data.

Referring to FIG. 1, the vehicle driving state information processing apparatus checks the standard time information confirmed by the satellite signal in association with the positioning unit 100 to synchronize the time within the device, and based on the synchronized time. A timer unit 150 for synchronizing the vehicle driving state recording time and determining a vehicle driving state recording period in which the vehicle driving state information is to be recorded based on the vehicle driving state recording time, and controlling the operation of the timer unit 150. It is characterized by comprising a control unit 115 to.

When power is supplied to the vehicle driving state information processing device through the power supply unit 185, the timer unit 150 initializes the time in the vehicle driving state information processing device and associates with the position positioning unit 100. And confirming the standard time information confirmed by the satellite signal. When the standard time information is confirmed, the time in the vehicle driving state information processing apparatus is synchronized to the standard time through the confirmed standard time information. . Here, the synchronizing the time in the vehicle driving state information processing device to the standard time is preferably repeated before the time in the vehicle is outside the preset limit error range with the standard time.

When the time in the vehicle driving state information processing device is synchronized to the standard time, the timer unit 150 synchronizes the vehicle driving state recording time based on the synchronized time, and the vehicle based on the synchronized vehicle driving state recording time. And determining a vehicle driving state recording period in which the driving state information is to be recorded.

According to the exemplary embodiment of the present invention, the vehicle driving state recording period may be performed regardless of the sensing / location period and the sampling rate of the position positioning unit 100, the acceleration sensing unit 105, and the direction sensing unit 110. Preferably, the vehicle driving state information processing apparatus includes a minimum recording period value capable of generating and recording vehicle driving state information without data loss.

For example, when the vehicle travels at a speed of 100 km / h, the vehicle moves 27.78 m per second, and there is a possibility that various accidents occur even in the section of 27.78 m, and as the speed of the vehicle increases, The travel distance is longer.

According to the exemplary embodiment of the present invention, the timer unit 150 calculates a minimum recording period value by testing the information processing performance of the vehicle driving state information processing apparatus one or more times in association with the controller 115, or the It is preferable to determine the vehicle driving state recording cycle using the minimum recording period value set through the performance test in the manufacturing stage of the vehicle driving state information processing apparatus.

According to another exemplary embodiment of the present invention, the vehicle driving state recording period is preferably changed according to the speed of the vehicle using the minimum recording period value as a basic recording period.

For example, the traveling distance per second at the vehicle speed of 0 km / h to 10 km / h is up to 2.78 m information, and the traveling distance per second at the vehicle speed of 11 km / h to 20 km / h is up to 5.56 m, while the vehicle speed is The maximum travel distance per second at 60 km / h to 70 km / h is about 19.44 m. The vehicle driving state recording period is varied according to the speed of the vehicle, so that the vehicle driving state recording period is relatively increased at low speed, and at high speed. It is possible to reduce the driving status recording cycle relatively.

If the vehicle driving state recording period is varied, the timer unit 150 records the vehicle driving state recording period so that the vehicle corresponds to a moving distance equal to (or similar within a predetermined approximation) per unit time. This is preferably determined dynamically.

Referring to FIG. 1, the vehicle driving state information processing apparatus includes the position positioning unit 100 at an n (n> 1) vehicle driving state recording cycles during a vehicle driving state recording cycle determined by the timer unit 150. Check whether the 3D position data of the vehicle is measured, and if the position data measured through the position positioning unit 100 is confirmed in the n-th driving state recording period, the measured position Calculating the n-th position information of the vehicle through the data, and if the position data is not measured in the n-th driving state recording period, the position data of the n-th driving state recording period is calculated from one or more previously measured position data. And a position information calculator 125 for calculating n-th position information of the vehicle based on the predicted position data, and the position information calculator 125 may calculate n-th position information. Shipping is characterized by comprising a control section 115 for controlling.

When the vehicle driving state recording cycle is determined by the timer unit 150, the position information calculating unit 125 performs the vehicle through the position positioning unit 100 in an n (n> 1) vehicle driving state recording cycle. It is characterized by checking that the three-dimensional position data of the measured and obtained.

In general, a GPS unit for a vehicle is generally used to position a position once every two seconds, and the position information calculating unit 125 is linked to the GPS unit in order to measure the three-dimensional position data of the vehicle. It is characterized in that through the n-th vehicle driving state recording period determined by the timer unit 150 to determine whether the three-dimensional position data of the vehicle is measured.

According to the exemplary embodiment of the present invention, the location information calculator 125 is calculated within a preset predetermined time range (for example, several tens of milliseconds) from a synchronization time corresponding to the nth driving state recording period. When the position data is confirmed, it is preferable to confirm the confirmed position data as the three-dimensional position data measured by the position positioning unit 100.

If the check result, the position data measured through the position positioning unit 100 in the n-th vehicle driving state recording period is confirmed, the position information calculation unit 125 through the measured three-dimensional position data Preferably, the n th position information of the vehicle corresponding to the n th vehicle driving state recording period is calculated.

On the other hand, if the location data measured through the location positioning unit 100 is not confirmed in the n-th vehicle driving state recording period, the location information calculation unit 125 may include one or more location data previously measured and / or Or the nth vehicle driving state recording period of the vehicle through the position data (eg, (n-1) to (ni, (1 <= i <n)) position data of one or more previous vehicle driving state recording cycles. Calculates a most recent running speed, predicts three-dimensional position data of the vehicle corresponding to the nth driving state recording period based on the calculated recent driving speed and the time of the nth driving state recording period, and predicts It is preferable to calculate the n-th position information of the vehicle through the three-dimensional position data.

Here, the n-th position information corresponds to time corresponding to the n-th vehicle driving state recording period in which integer data (or real number) or binary code form position data corresponding to three-dimensional position data of the n-th driving state recording period corresponds to the n-th vehicle driving state recording period. It is preferable to include the position information represented by a vector value or a scalar value on the three-dimensional coordinates.

Referring to FIG. 1 according to an exemplary embodiment of the present disclosure, the vehicle driving state information processing apparatus may calculate the nth position information of the vehicle through the predicted position data by the position information calculating unit 125. Confirming the next measured position data through the position positioning unit 100, and when the next measured position data is confirmed, a position for correcting the n-th position information through the previously measured one or more position data and the next measured position data. And an information correction unit 155 and a control unit 115 for controlling the position information correction unit 155 to correct the n-th position data.

One or more position data previously measured by the position information calculating unit 125 and / or position data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i) <n)) When the n-th position information of the vehicle is calculated through the position data), the position information correcting unit 155 is connected to the control unit 115 to the next measured position data through the position positioning unit 100. Characterized in that the check.

If the next position data is measured through the position positioning unit 100, the position information correcting unit 155 may include one or more position data previously measured and / or position data of one or more previous vehicle driving state recording periods (eg, (N-1) through (ni, (1 <= i <n)) the position data) to predict the next position data of the time when the next position data was measured, and measured with the predicted next position data. And comparing the next position data. When the predicted next position data and the measured next position data are found within a preset reference error range, the first position data of the vehicle is calculated through the estimated position data. If the position information is used as it is, and the predicted next position data and the measured next position data are out of a preset reference error range, one or more previously measured ones are used. Location data and the next measured location data and / or location data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i <n)) location data). Characterize and correct the n-th position information of the vehicle.

Referring to FIG. 1 according to another exemplary embodiment of the present invention, the vehicle driving state information processing apparatus calculates n-th position information of the vehicle through the predicted position data by the position information calculating unit 125. Check the next measured position data through the position measuring unit 100, confirm the time when the next position data is measured, predict the position data of the measured time, and measure the next measured position data and the next predicted data. Compares to determine whether the next measured position data is out of the preset error range and the next predicted position data, and if it is determined that the set error range is out of range, the (n-1) th position information is determined through the next measured position data. A position information correction unit 155 for calculating n 'position information on the singularity between the n th position information and the n th position information; And a controller 115 that controls the 155 to calculate the n'th position data.

One or more position data previously measured by the position information calculating unit 125 and / or position data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i) <n)) When the n-th position information of the vehicle is calculated through the position data), the position information correcting unit 155 is connected to the control unit 115 to the next measured position data through the position positioning unit 100. Characterized in that the check.

If the next position data is measured through the position positioning unit 100, the position information correcting unit 155 checks the time when the next position data was measured, and previously measured one or more position data and / or one or more previous positions. Prediction of the next position data at the time when the next position data is measured through the position data (for example, (n-1) to (ni, (1 <= i <n)) position data of the vehicle driving state recording period) And comparing the next measured position data with the next predicted data to determine whether the next measured position data is out of a preset error range with the next predicted position data, and the next measured position data is compared with the next predicted position data. When it is determined that the deviation is out of the set error range, the singularity between the (n-1) th position information and the nth position information is determined through the next measured position data (eg, N 'position information regarding the occurrence of an accident, a sudden steering wheel operation) is calculated.

When the n 'position information is calculated according to an embodiment of the present invention, the (n-1) through (ni, (1 <= i <n)) position information is obtained through the (n-2) through (ni) positions. (1 <= i <n)) the position information is changed in order, and the n 'position information is changed to the (n-1) th position information, and vice versa. Preferably, the n-th position information is changed to n-th position information and the n-th position information is changed to (n + 1) th position information.

Referring to FIG. 1, when the vehicle driving state recording cycle is determined by the timer unit 150, the vehicle driving state information processing apparatus calculates the vehicle driving state recording cycle and the position information calculating unit 125. A speed information calculator 120 for calculating n-th speed information of the n-th driving state recording period based on the position information of the at least one previous vehicle driving state recording cycle and the n-th position information; and the speed information calculating unit 120 ) Is provided with a control unit 115 for controlling the calculation of the n-th speed information.

When the time in the vehicle driving state information processing apparatus is synchronized to the standard time by the timer unit 150 and the vehicle driving state recording period is determined based on the standard time, the speed information calculating unit 120 performs the vehicle driving. Position information of the state recording cycle and one or more previous vehicle driving state recording cycles calculated by the position information calculating unit 125 (for example, (n-1) to (ni, (1 <= i <n)) Location information) and n-th speed information of the n-th driving state recording period based on the n-th location information.

If the position information correction unit 155, the position information (for example (n-1) to (ni, (1 <= i <n)) position information of one or more previous vehicle driving state recording period) and When the n position information is corrected, the speed information calculator 120 may calculate the n th speed information of the n th driving state recording period using the corrected position information.

Referring to FIG. 1, the vehicle driving state information processing apparatus may include the acceleration sensing unit 105 at an n (n> 1) vehicle driving state recording cycles during a vehicle driving state recording cycle determined by the timer unit 150. Check whether the 3D acceleration data of the vehicle is measured, and when the acceleration data measured by the acceleration sensing unit 105 is confirmed in the n-th driving state recording period, the measured acceleration When the n th acceleration information of the vehicle is calculated through the data, and the acceleration data is not measured in the n th driving state recording period, the acceleration data of the n th driving state recording period is calculated from one or more previously measured acceleration data. An acceleration information calculating unit 130 for predicting and calculating n-th acceleration information of the vehicle based on the predicted acceleration data, and the acceleration information calculation Section 130 is characterized by formed by a control unit 115 for controlling the output of the n-th acceleration information.

When the vehicle driving state recording period is determined by the timer unit 150, the acceleration information calculating unit 130 performs the vehicle through the acceleration sensing unit 105 at an n (n> 1) vehicle driving state recording period. It is characterized by checking whether the three-dimensional acceleration data of the measurement is obtained.

In general, an acceleration sensor is generally sensed through a constant sensing period and a sampling rate. The acceleration information calculator 130 is linked with an acceleration sensor that senses an acceleration signal through the sensing period and the sampling rate. The 3D acceleration data of the vehicle may be checked in the nth vehicle driving state recording period determined by the timer unit 150 through the acceleration sensing unit 105 on which the dimensional acceleration data are measured.

According to the exemplary embodiment of the present invention, the acceleration information calculating unit 130 is calculated within a preset predetermined time range (for example, several tens of milliseconds) from a synchronization time corresponding to the nth driving state recording period. When the acceleration data is confirmed, it is preferable to confirm the identified acceleration data as the three-dimensional acceleration data measured by the acceleration sensing unit 105.

If the result of the check, the acceleration data measured through the acceleration sensing unit 105 in the n-th vehicle driving state recording period is confirmed, the acceleration information calculation unit 130 through the measured three-dimensional acceleration data Preferably, the n th acceleration information of the vehicle corresponding to the n th vehicle driving state recording period is calculated.

On the other hand, if the acceleration data measured through the acceleration sensing unit 105 is not confirmed in the n-th vehicle driving state recording period, the acceleration information calculating unit 130 may include one or more previously measured acceleration data and / Or calculating the average acceleration value of the acceleration data (eg, (n-1) to (ni, (1 <= i <n)) acceleration data of one or more previous vehicle driving state recording periods, to obtain the n-th vehicle driving. Preferably, the 3D acceleration data of the vehicle corresponding to the state recording period is predicted, and the nth acceleration information of the vehicle is calculated based on the predicted 3D acceleration data.

Here, the n-th acceleration information corresponds to the time corresponding to the n-th vehicle driving state recording period of the integer (or real) to binary code form acceleration data corresponding to the 3D acceleration data of the n-th driving state recording period. It is preferable to include acceleration information represented by a vector value or a scalar value on three-dimensional coordinates.

Referring to FIG. 1 according to an exemplary embodiment of the present disclosure, when the vehicle driving state information processing apparatus calculates the nth acceleration information of the vehicle through the predicted acceleration data by the acceleration information calculating unit 130, FIG. When the next measured acceleration data is confirmed through the acceleration sensing unit 105, and the next measured acceleration data is confirmed, an acceleration for correcting the n-th acceleration information through one or more previously measured acceleration data and the next measured acceleration data is obtained. And an information correction unit 160 and a control unit 115 for controlling the acceleration information correction unit 160 to correct the n-th acceleration data.

One or more acceleration data previously measured by the acceleration information calculating unit 130 and / or acceleration data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i) <n)) When the n-th acceleration information of the vehicle is calculated through the acceleration data), the acceleration information correction unit 160 is connected to the control unit 115 to the next measured acceleration data through the acceleration sensing unit 105. Characterized in that the check.

If the next acceleration data is measured through the acceleration sensing unit 105, the acceleration information correcting unit 160 may determine one or more acceleration data previously measured and / or acceleration data of one or more previous vehicle driving state recording periods (eg, (N-1) to (ni, (1 <= i <n) acceleration data) to predict the next acceleration data at the time when the next acceleration data is measured, and the measured next acceleration data is measured. And comparing the next acceleration data. When the predicted next acceleration data and the measured next acceleration data are found within a preset reference error range, the vehicle calculates the estimated acceleration data. The nth acceleration information is used as it is, and the predicted next acceleration data and the measured next acceleration data are set within a preset reference error range. Off, one or more previously measured acceleration data and the next measured acceleration data and / or acceleration data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i < n)) n-th acceleration information of the vehicle is recalculated and corrected through acceleration data).

Referring to FIG. 1 according to another exemplary embodiment of the present invention, in the vehicle driving state information processing apparatus, the n-th acceleration information of the vehicle is calculated by the acceleration data calculated by the acceleration information calculating unit 130. When the next measured acceleration data is checked through the acceleration sensing unit 105, the time when the next acceleration data is measured is determined, the acceleration data of the measured time is predicted, the next measured acceleration data and the next predicted data. Compares the next measured acceleration data with the next predicted acceleration data and the predetermined error range, and if the set error range is found to be out of the next measured acceleration data through the (n-1) th acceleration information Acceleration information correction for calculating the n 'acceleration information for the singularity between And a control unit 115 that controls the acceleration information correction unit 160 to calculate the n'th acceleration data.

One or more acceleration data previously measured by the acceleration information calculating unit 130 and / or acceleration data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i) <n)) When the n-th acceleration information of the vehicle is calculated through the acceleration data), the acceleration information correction unit 160 is connected to the control unit 115 to the next measured acceleration data through the acceleration sensing unit 105. Characterized in that the check.

If the next acceleration data is measured through the acceleration sensing unit 105, the acceleration information correcting unit 160 confirms the time when the next acceleration data was measured, and the previously measured one or more acceleration data and / or one or more previous ones. The next acceleration data of the time when the next acceleration data is measured is predicted through the acceleration data of the vehicle driving state recording period (for example, (n-1) to (ni, (1 <= i <n)). The next measured acceleration data is compared with the next predicted data to determine whether the next measured acceleration data is out of the preset error range with the next predicted acceleration data, and the next measured acceleration data is compared with the next predicted acceleration data. If it is determined that it is out of the set error range, the (n-1) acceleration information and the (n-1) through the next measured acceleration data n is one characterized in that for calculating the n 'acceleration information for the singular point (for example, an accident, sudden acceleration, sudden braking) between the acceleration information.

When the n 'acceleration information is calculated according to the exemplary embodiment of the present invention, the (n-1) to (ni, (1 <= i <n)) acceleration information is the (n-2) to (ni) (1 <= i <n) acceleration information is changed in order, and n 'acceleration information is changed to (n-1) th acceleration information, and vice versa. Preferably, the n-th acceleration information is changed to n-th acceleration information and the n-th acceleration information is changed to (n + 1) th acceleration information.

Referring to FIG. 1, when one or more pieces of acceleration information are calculated by the acceleration information calculating unit 130, the vehicle driving state information processing apparatus determines whether the calculated acceleration information exceeds a preset accident detection acceleration threshold value. And an accident occurrence confirming unit 135 for confirming whether an accident has occurred in the vehicle and a controller 115 for controlling whether the accident occurrence confirming unit 135 determines whether an accident has occurred.

When the nth acceleration information corresponding to the nth vehicle driving state recording period is calculated by the acceleration information calculating unit 130, the accident occurrence checking unit 135 determines the (n-1) th acceleration from the nth acceleration information. Calculating an acceleration value obtained by subtracting information, and checking whether the calculated acceleration value exceeds a preset accident detection acceleration threshold value, and if the calculated acceleration value exceeds the set accident detection acceleration threshold value, In this case, the vehicle is characterized in that it is confirmed that an accident has occurred.

Alternatively, when the nth acceleration information corresponding to the nth vehicle driving state recording period is calculated by the acceleration information calculating unit 130, the accident occurrence confirming unit 135 may determine an acceleration absolute value corresponding to the nth acceleration information. And confirming that the identified absolute value of acceleration exceeds a preset accident detection acceleration threshold value, and if the determined absolute value of acceleration exceeds the set accident detection acceleration threshold value, the vehicle It is characterized by checking that the accident occurred.

If the acceleration information correcting unit 160, the acceleration information (for example, (n-1) to (ni, (1 <= i <n)) acceleration information of one or more previous vehicle driving state recording period) When the n acceleration information is corrected, the accident occurrence checking unit 135 may determine whether an accident has occurred in the nth driving state recording period using the corrected acceleration information.

Referring to FIG. 1, the vehicle driving state information processing apparatus may include the direction sensing unit 110 at an n (n> 1) vehicle driving state recording cycles during a vehicle driving state recording cycle determined by the timer unit 150. Check whether the 3D moving direction data of the vehicle is measured, and if the moving direction data measured through the direction sensing unit 110 is confirmed in the nth driving state recording period, the measured value is measured. The n-th moving direction information of the vehicle is calculated based on the calculated moving direction data, and if the moving direction data is not measured in the n-th driving state recording period, the n-th vehicle driving state from the previously measured one or more moving direction data; A movement direction information calculator 14 for predicting movement direction data of a recording period and calculating n-th movement direction information of the vehicle based on the predicted movement direction data; 0) and a control unit 115 for controlling the movement direction information calculating unit 140 to calculate the nth movement direction information.

When the vehicle driving state recording period is determined by the timer unit 150, the movement direction information calculating unit 140 performs the direction sensing unit 110 at the n (n> 1) th vehicle driving state recording period. Characterized by checking whether the three-dimensional movement direction data of the vehicle is obtained by measuring.

In general, a gyro sensor is generally sensed through a constant sensing period and a sampling rate, and the movement direction information calculating unit 140 interlocks with a gyro sensor that senses a gyro signal through the sensing period and the sampling rate. Characterizing whether the three-dimensional movement direction data of the vehicle is measured in the n-th vehicle driving state recording period determined by the timer unit 150 through the direction sensing unit 110 in which the three-dimensional movement direction data is measured. .

According to the exemplary embodiment of the present invention, the movement direction information calculating unit 140 calculates a preset time range (eg, several tens to several milliseconds) from a synchronization time corresponding to the nth driving state recording period. When the movement direction data is confirmed, it is preferable to confirm the confirmed movement direction data as the three-dimensional movement direction data measured by the direction sensing unit 110.

If the moving direction data measured through the direction sensing unit 110 is confirmed in the n-th vehicle driving state recording period as a result of the checking, the moving direction information calculating unit 140 measures the measured three-dimensional moving direction data. It is preferable to calculate the n-th movement direction information of the vehicle corresponding to the n-th vehicle driving state recording period through.

On the other hand, if the moving direction data measured through the direction sensing unit 110 is not confirmed in the n-th vehicle driving state recording period, the moving direction information calculating unit 140 may have previously measured one or more moving directions. Calculate an average moving direction value of the data and / or moving direction data (eg, (n-1) to (ni, (1 <= i <n)) moving direction data of one or more previous vehicle driving state recording periods) The 3D moving direction data of the vehicle corresponding to the n th vehicle driving state recording period is predicted, and the n th moving direction information of the vehicle is calculated based on the predicted 3D moving direction data.

Here, the n-th movement direction information corresponds to the n-th vehicle driving state recording period in which integer (or real) to binary code-type movement direction data corresponds to the 3D movement direction data of the n-th vehicle driving state recording period. It is preferable to include the movement direction information represented by the vector value or the scalar value on three-dimensional coordinates corresponding to time.

Referring to FIG. 1 according to an embodiment of the present disclosure, the vehicle driving state information processing apparatus may include the nth moving direction information of the vehicle through the predicted moving direction data by the moving direction information calculating unit 140. Is calculated, the next measured movement direction data is checked through the direction sensing unit 110, and when the next measured movement direction data is confirmed, the first measured movement direction data and the next measured movement direction data are determined. and a control unit 115 for controlling the moving direction information correcting unit 165 for correcting the n moving direction information and the correcting of the nth moving direction data. do.

One or more moving direction data previously measured by the moving direction information calculating unit 140 and / or moving direction data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1) <= i <n)) When the n th moving direction information of the vehicle is calculated through the moving direction data), the moving direction information correcting unit 165 is connected to the control unit 115 and the direction sensing unit 110. It is characterized by checking the next measured movement direction data through.

If the next movement direction data is measured through the direction sensing unit 110, the movement direction information correction unit 165 may move one or more previously measured movement direction data and / or one or more previous vehicle driving state recording periods. Predicts the next moving direction data at the time when the next moving direction data is measured through data (for example, (n-1) to (ni, (1 <= i <n)) moving direction data; And comparing the measured next moving direction data with the measured next moving direction data. If the predicted next moving direction data and the measured next moving direction data are identified within a preset reference error range, the prediction is performed. The n-th moving direction information of the vehicle calculated through the calculated moving direction data is used as it is, and the next next measured movement direction data is measured and then moved. When the direction data is out of the preset reference error range, the previous measured one or more moving direction data and the next measured moving direction data and / or the moving direction data of the one or more previous vehicle driving state recording periods (eg, (n-1) ) To (ni, (1 <= i <n)) moving direction data) to recalculate and correct the nth moving direction information of the vehicle.

Referring to FIG. 1 according to another exemplary embodiment of the present disclosure, the vehicle driving state information processing apparatus may include the n-th moving direction of the vehicle through the predicted moving direction data by the moving direction information calculating unit 140. When the information is calculated, the next measurement direction direction data is confirmed through the movement direction sensing unit 110, the time when the next movement direction data is measured, the movement direction data of the measured time is predicted, and the next actual measurement is performed. The next measured moving direction data is compared with the next predicted moving direction data by comparing the moving direction data with the next predicted data, and when it is determined that the set error range is out of the next measured moving direction N 'for the singularity between the (n-1) th moving direction information and the nth moving direction information And a control unit 115 for controlling the movement direction information correcting unit 165 for calculating the same direction information and for calculating the n 'moving direction data. do.

One or more moving direction data previously measured by the moving direction information calculating unit 140 and / or moving direction data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1) <= i <n)) When the n-th moving direction information of the vehicle is calculated through the moving direction data), the moving direction information correcting unit 165 is connected to the control unit 115 and the moving direction sensing unit 110. It is characterized by checking the next measured movement direction data through).

If the next moving direction data is measured through the moving direction sensing unit 110, the moving direction information correcting unit 165 checks the time when the next moving direction data is measured, and includes one or more previously measured moving direction data and And / or the next movement direction data is measured through movement direction data (eg, (n-1) to (ni, (1 <= i <n)) movement direction data of one or more previous vehicle driving state recording periods. Predicts the next movement direction data of the received time, compares the next actual movement direction data with the next prediction data, and confirms whether the next actual movement direction data is out of the preset error range with the next prediction movement direction data; When the next measured movement direction data is found to be out of the preset error range with the next predicted movement direction data, the next measured movement direction The n 'moving direction information for the singularity between the (n-1) th moving direction information and the nth moving direction information (for example, an accident occurs and a sharp steering wheel operation during high-speed driving) is calculated through the same direction data. do.

When the n 'moving direction information is calculated according to the exemplary embodiment of the present invention, the (n-1) to (ni, (1 <= i <n)) moving direction information is obtained from the (n-2) to the th agent. (ni, (1 <= i <n)) The moving direction information is changed in order, and the n 'moving direction information is changed to the (n-1) th moving direction information, and vice versa. Preferably, the moving direction information is changed to the nth moving direction information, and the existing nth moving direction information is changed to the (n + 1) th moving direction information.

Referring to FIG. 1, the vehicle driving state information processing apparatus may include the direction sensing unit 110 at an n (n> 1) vehicle driving state recording cycles during a vehicle driving state recording cycle determined by the timer unit 150. Check whether the three-dimensional tilt data of the vehicle is measured, and when the tilt data measured by the direction sensing unit 110 is confirmed in the n-th driving state recording period, the measured When the n-th slope information of the vehicle is calculated based on the slope data, and the slope data is not measured in the n-th vehicle driving state recording period, the slope data of the n-th vehicle driving state recording period is determined from one or more previously measured slope data. A slope information calculator 145 for calculating n th slope information of the vehicle based on the predicted slope data, and the slope information calculator And a control unit 115 for controlling the 145 to calculate the n-th speed information.

When the vehicle driving state recording period is determined by the timer unit 150, the inclination information calculating unit 145 performs the vehicle through the direction sensing unit 110 in an n (n> 1) vehicle driving state recording period. Characterized by checking that the three-dimensional gradient of the data obtained by measuring.

In general, a gyro sensor is generally sensed through a constant sensing period and a sampling rate, and the tilt information calculator 145 is linked with a gyro sensor that senses a gyro signal through the sensing period and the sampling rate. The 3D gradient data of the vehicle may be checked through the direction sensing unit 110 in which the dimensional gradient data is measured in the nth vehicle driving state recording period determined by the timer unit 150.

According to the exemplary embodiment of the present invention, the inclination information calculator 145 is calculated within a preset predetermined time range (for example, several tens of milliseconds) from a synchronization time corresponding to the nth driving state recording period. When inclination data is confirmed, it is preferable to check the confirmed inclination data as three-dimensional inclination data measured by the direction sensing unit 110.

As a result of the check, when the measured tilt data is confirmed through the direction sensing unit 110 in the n-th driving state recording period, the tilt information calculating unit 145 uses the measured 3D tilt data. Preferably, the n-th slope information of the vehicle corresponding to the n-th vehicle driving state recording period is calculated.

On the other hand, if the inclination data measured by the direction sensing unit 110 is not confirmed in the n-th vehicle driving state recording period, the inclination information calculating unit 145 may include one or more previously measured inclination data and / or Or calculating an average slope value of slope data (eg, (n-1) to (ni, (1 <= i <n)) slope data of one or more previous vehicle driving state recording periods; It is preferable to predict three-dimensional tilt data of the vehicle corresponding to the state recording period, and to calculate n-th tilt information of the vehicle based on the predicted three-dimensional tilt data.

Here, the n-th inclination information corresponds to the time corresponding to the n-th vehicle driving state recording period in which the inclination data of integer (or real) to binary code form corresponding to the three-dimensional inclination data of the n-th driving state recording period corresponds to the n-th vehicle driving state recording period. It is preferable to include the inclination information represented by the vector value or the scalar value on the three-dimensional coordinates.

Referring to FIG. 1, in the vehicle driving state information processing apparatus, the position information calculating unit 125 calculates nth position information for an nth driving state recording period, and the acceleration information calculating unit 130 is obtained. When the n-th acceleration information for the n-th vehicle driving state recording period is calculated, and the n-th movement direction information for the n-th vehicle driving state recording period is calculated by the movement direction information calculation unit 140, the vehicle An information generator 170 for generating n-th vehicle driving state information in which n-th position information, n-th acceleration information, and n-th movement direction information are synchronized based on the synchronization time synchronized by the timer unit 150; When it is confirmed by the accident occurrence confirming unit 135 that the accident has occurred in the vehicle in the n-th vehicle driving state recording period, the nth (nj, (1) <= j <n (N +) the n-th vehicle driving state information is identified as vehicle driving state information before an accident occurs in the vehicle driving state information, and is generated by the information generating unit 170 after the nth driving state recording cycle. 1) Check the (n + k, k> 1) vehicle driving state information in the vehicle driving state information as the vehicle driving state information after the accident, and the vehicle driving state information before the accident and the vehicle driving state information after the accident And an information storage unit 175 for storing the vehicle driving state information for a predetermined time including in the memory unit 180.

N-th position information of the n-th driving state recording period is calculated by the position information calculating unit 125, and n-th acceleration information of the n-th driving state recording period is calculated by the acceleration information calculating unit 130. Is calculated, and when the n-th movement direction information for the n-th vehicle driving state recording period is calculated by the movement direction information calculation unit 140, the information generation unit 170 generates the n-th position information of the vehicle, The n-th vehicle driving state information for a specific synchronization time may be generated by synchronizing n acceleration information and n-th moving direction information based on the synchronization time synchronized by the timer unit 150. However, it is a general term for information to be recorded in the memory unit 180 including one or more of the position information, acceleration information, and movement direction information, and does not mean specific information (or data block). Is to be made clear.

According to the exemplary embodiment of the present invention, when the n-th position information, the n-th acceleration information, and the n-th movement direction information are calculated as information on each coordinate system, the information generating unit 170 may generate the n-th position information, Preferably, the method further includes coordinate transformation of the n acceleration information and the n th movement direction information into information on the integrated coordinate system.

If the n th speed information for the n th vehicle driving state recording period is calculated by the speed information calculating unit 120, the information generator 170 may refer to the synchronization time based on the n th vehicle driving state information. It is preferable to generate the n-th vehicle driving state information further comprising the n-th speed information synchronized with.

Alternatively, when the n-th slope information for the n-th vehicle driving state recording period is calculated by the inclination information calculator 145, the information generator 170 may refer to the synchronization time based on the n-th vehicle driving state information. It is preferable to generate the n-th vehicle driving state information by further including n-th slope information synchronized with the.

According to the exemplary embodiment of the present invention, the information generating unit 170 includes the (nj, (1 <= j <n)) th (nj) for a predetermined time including the n th vehicle driving state information in the vehicle driving state information. It is desirable to temporarily store the driving status information (e.g., store in the FIFO memory).

For example, when the new n-th driving state information is generated, the information generating unit 170 deletes the most recent driving state information based on the n-th driving state information, thereby (nj) for a predetermined time. It is desirable to temporarily store the driving status information of the dogs.

While the information generating unit 170 generates the n-th vehicle driving state information and temporarily stores (nj) vehicle driving state information for a predetermined time, the n-th vehicle is detected by the accident occurrence checking unit 135. When it is confirmed that an accident has occurred in the vehicle in a driving state recording period, the information storage unit 175 is based on the nth vehicle driving state recording period in which the accident occurs (nj, (1 <= j <n)). (Nj) vehicle operation state information from the vehicle operation state information to the n-th vehicle operation state information is confirmed as vehicle operation state information before an accident occurs, and the identified (nj) vehicle operation state information before the accident It is characterized in that to store in the memory unit 180.

In addition, the information storage unit 175 may store the first (n + 1) vehicle driving state information generated by the information generating unit 170 after the nth driving state recording period in which the accident has been confirmed. n + k, k> 1) The vehicle driving state information of (n + k) up to the vehicle driving state information is checked as vehicle driving state information before an accident occurs, and the (n + k) confirmed accidents The vehicle driving state information is stored in the memory unit 180.

2 is a diagram illustrating a process of determining a vehicle driving state recording period of the vehicle driving state information processing apparatus according to an embodiment of the present invention.

In more detail, FIG. 2 shows the vehicle driving state by checking standard time information from the satellite signal when a satellite signal is received through a GPS unit after power is supplied to the vehicle driving state information processing device shown in FIG. The process of synchronizing the time in the information processing apparatus and determining the vehicle driving state recording period to record the vehicle driving state information on the basis of the synchronized time, the vehicle driving state recording period is variable according to the speed of the vehicle An implementation method further comprising a process is illustrated.

Those skilled in the art to which the present invention pertains, various implementation methods (e.g., for determining a vehicle driving state recording period of the vehicle driving state information processing apparatus by referring to and / or modifying the drawing 2) Some steps may be omitted, or the order of implementation may be changed), but the present invention includes all the implementation methods inferred, and the technical features are not limited to the implementation method shown in FIG. No.

For example, in FIG. 2, the process of changing the driving state recording period in accordance with the speed of the vehicle may be omitted.

Referring to FIG. 2, the vehicle driving state information processing apparatus shown in FIG. 1 checks whether a satellite signal is received through a GPS unit after power is supplied (200), and if the satellite signal is received (205). The timer unit provided in the vehicle driving state information processing apparatus checks standard time information from the satellite signal, and synchronizes the time in the vehicle driving state information processing apparatus through the checked standard time information (210).

Here, the synchronizing the time in the vehicle driving state information processing device to the standard time is preferably repeated before the time in the vehicle is outside the preset limit error range with the standard time.

The vehicle driving state information processing apparatus may synchronize the vehicle driving state recording time based on the synchronized time and the vehicle driving state information may be recorded based on the synchronized vehicle driving state recording time. The driving state recording period is determined (215).

According to an exemplary embodiment of the present invention, the vehicle driving state recording period may be performed by the vehicle driving state information processing apparatus without data loss regardless of the sensing / positioning period and the sampling rate of the position positioning unit, the acceleration sensing unit, and the direction sensing unit. It is preferable to include a minimum recording period value capable of generating and recording vehicle driving state information.

For example, when the vehicle travels at a speed of 100 km / h, the vehicle moves 27.78 m per second, and there is a possibility that various accidents occur even in the section of 27.78 m, and as the speed of the vehicle increases, The travel distance is longer.

According to an exemplary embodiment of the present invention, the timer unit may be connected to the controller to test the information processing performance of the vehicle driving state information processing device at least once to calculate a minimum recording period value, or to determine the driving state information processing apparatus. It is desirable to determine the vehicle driving state recording period using the minimum recording period value set through the performance test at the manufacturing stage.

According to another exemplary embodiment of the present invention, it is preferable that the vehicle driving state recording period is varied by using the minimum recording period value as a basic recording period according to the speed of the vehicle.

For example, the traveling distance per second at the vehicle speed of 0 km / h to 10 km / h is up to 2.78 m information, and the traveling distance per second at the vehicle speed of 11 km / h to 20 km / h is up to 5.56 m, while the vehicle speed is The maximum travel distance per second at 60 km / h to 70 km / h is about 19.44 m. The vehicle driving state recording period is varied according to the speed of the vehicle, so that the vehicle driving state recording period is relatively increased at low speed, and at high speed. It is possible to reduce the driving status recording cycle relatively.

If the vehicle driving state recording period is varied, the timer unit dynamically determines the recording period value so that the vehicle driving state recording period corresponds to a moving distance that the vehicle is equal to (or similar within a predetermined approximation) per unit time. It is desirable to be.

Therefore, when the vehicle driving state recording period is determined (220), the timer unit checks the nth driving speed information of the nth driving state recording period through the speed information calculating unit included in the vehicle driving state information processing apparatus so that the vehicle It is checked whether the driving state recording cycle is changed (225).

If it is determined that the vehicle driving state recording period is changed according to the speed change of the vehicle (230), the timer unit records the vehicle driving state recording period in response to the nth speed information corresponding to the nth driving state cycle. In operation 235, the changed vehicle driving state recording period is determined as the vehicle driving state recording period in which the vehicle driving state information is to be recorded based on the synchronized time (240).

3 is a diagram illustrating a process of calculating position information corresponding to a vehicle driving state recording cycle according to an embodiment of the present invention.

In more detail, in FIG. 3, after the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in FIG. 2, n (n> 1) in the vehicle driving state information processing apparatus shown in FIG. The process of calculating the n-th position information on the vehicle driving state recording cycle, and if the person skilled in the art to which the present invention pertains, refer to and / or modify the present figure 3 to record the vehicle driving state Various implementation methods (for example, some steps may be omitted or the order may be changed) may be inferred for the process of calculating the location information corresponding to the period, but the present invention includes all the implementation methods inferred above. It is made, the technical features are not limited only to the implementation method shown in FIG.

Referring to FIG. 3, after the power is supplied, the position positioning unit provided in the vehicle driving state information processing apparatus shown in FIG. 1 acquires three-dimensional position data of the vehicle from the GPS unit according to a preset method. Repeated (300), if the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in Figure 2 (220), the position information calculation unit provided in the vehicle driving state information processing apparatus is n; (n> 1) It is checked whether the 3D position data of the vehicle is measured and obtained through the position positioning unit in the vehicle driving state recording period (305).

If the three-dimensional position data of the vehicle is measured 310 through the position positioning unit, the position information calculator calculates n-th position information corresponding to the n-th driving state recording period through the measured position data. (315).

On the other hand, if the 3D position data of the vehicle is not measured through the position location unit 310, the position information calculation unit may include the one or more position data and / or one or more previous vehicle driving state recording periods previously measured. Calculating the latest traveling speed before the nth vehicle driving state recording period of the vehicle through the position data (for example, (n-1) to (ni, (1 <= i <n)) position data; Predict the three-dimensional position data of the vehicle corresponding to the n-th driving state recording period through the latest driving speed and the time of the n-th driving state recording period (320), and through the predicted three-dimensional position data. The n th position information of the vehicle is calculated (325).

Here, the n-th position information corresponds to the time corresponding to the n-th vehicle driving state recording period in which integer data (or real number) or binary code form position data corresponding to the three-dimensional position data of the n-th driving state recording period corresponds to the n-th vehicle driving state recording period. It is preferable to include the position information represented by a vector value or a scalar value on the three-dimensional coordinates.

If the n th position information of the vehicle is calculated through the predicted position data by the position information calculator 330, the vehicle driving state information processing apparatus performs a correction process on the predicted position information.

4 is a diagram illustrating a process of correcting position information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

In more detail, FIG. 4 illustrates that when n-th position information for an n (n> 1) vehicle driving state recording period is calculated through position data predicted by the position information calculation process shown in FIG. 3, FIG. The process of correcting the n-th position information through the position data which is measured next in the vehicle driving state information processing apparatus shown in FIG. 4 will be described with reference to FIG. 4. Various implementation methods (for example, some steps may be omitted or the order may be changed) may be inferred by reference and / or modification to correct the position information corresponding to the vehicle driving state recording period. The present invention includes all the inferred implementation methods, and the technical features are not limited only to the implementation method illustrated in FIG.

Referring to FIG. 4, when n-th position information for an n (n> 1) vehicle driving state recording period is calculated through the position data predicted through the position information calculation process shown in FIG. 3, the n-th position information is calculated (330). The position information corrector provided in the vehicle driving state information processing apparatus checks the next measured position data through the position positioning unit (400).

If the next measured position data is confirmed (405), the position information corrector may include one or more position data previously measured and / or position data of one or more previous vehicle driving state recording periods (eg, (n-1) to (i). ni, (1 <= i <n)) predicting the next position data of the time when the next position data is measured, and comparing the predicted next position data with the measured next position data. And when the predicted next position data and the measured next position data are identified within a preset reference error range, the n-th position information of the vehicle calculated through the predicted position data is used as it is. If the predicted next position data and the measured next position data are outside the preset reference error range, one or more previously measured position data and the next actual data are measured. The nth of the vehicle via the received position data and / or the position data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i <n)) position data). The location information is recalculated and corrected (410).

If the n th position information is corrected (415), the vehicle driving state information processing apparatus performs a process of generating n th vehicle driving state information including the corrected n th position information.

5 is a diagram illustrating a process of correcting location information corresponding to a vehicle driving state recording period according to another exemplary embodiment of the present invention.

In more detail, in FIG. 5, after the nth position information for the n (n> 1) vehicle driving state recording periods is calculated through the position data predicted through the position information calculation process shown in FIG. When a singularity occurs in the next measured position data measured to correct n position information, a process for correcting the calculated n 'position information corresponding to the singular point to be included in the vehicle driving state information is provided. Those skilled in the art may refer to and / or modify the drawing 5 to correct various location information corresponding to the vehicle driving state recording period (for example, some steps may be omitted or Or an altered order of implementation), but the present invention includes all the inferred implementation methods, as shown in FIG. Indicated only exemplary method is not limited that technical feature.

Referring to FIG. 5, when n-th position information for an n (n> 1) vehicle driving state recording period is calculated through the position data predicted by the position information calculation process illustrated in FIG. 3, the n-th position information is calculated (330). The position information corrector provided in the vehicle driving state information processing apparatus checks the next measured position data through the position positioning unit (500).

If the next measured position data is confirmed (505), the position information correcting unit confirms the time when the next position data was measured, and the previously measured one or more position data and / or the position data of one or more previous vehicle driving state recording periods ( For example, (n-1) through (ni, (1 <= i <n)) the position data) is predicted next position data of the time when the next position data was measured (510), and the next measured position. The next actual measured position data is compared with the next predicted position data by comparing the data with the next predicted data to determine whether the preset error range is 515.

If it is determined that the next measured position data is out of a predetermined error range with the next predicted position data (520), the position information corrector records one or more previously measured position data and / or one or more previous vehicle driving state records. Predict the next position data of the time when the next position data is measured through the position data of the period (eg, (n-1) to (ni, (1 <= i <n)) position data, and predict the And comparing the measured next position data with the measured next position data. When the result of the comparison indicates that the predicted next position data and the measured next position data are within a predetermined reference error range, the estimated position data is determined. By using the n-th position information of the vehicle calculated as it is, the predicted next position data and the measured next position data are Outside the defined reference error range, one or more of the previously measured position data and the next measured position data and / or the position data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, ( 1 <= i <n)) the nth position information of the vehicle is recalculated and corrected through the position data) (525).

On the other hand, if it is determined that the next measured position data is out of the preset error range with the next predicted position data (520), the singularity between the (n-1) th position information and the nth position information is determined through the next measured position data. For example, the n 'position information on the occurrence of an accident, a sharp steering wheel operation) is calculated (530), and the n th position information is processed as the n th position information to be included in the vehicle driving state information (535).

When the n 'position information is calculated according to an embodiment of the present invention, the (n-1) through (ni, (1 <= i <n)) position information is obtained through the (n-2) through (ni) positions. (1 <= i <n)) the position information is changed in order, and the n 'position information is changed to the (n-1) th position information, and vice versa. Preferably, the n-th position information is changed to n-th position information and the n-th position information is changed to (n + 1) th position information.

6 is a diagram illustrating a process of calculating acceleration information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

In more detail, in FIG. 6, after the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in FIG. 2, n (n> 1) in the vehicle driving state information processing apparatus shown in FIG. ) The process of calculating the n-th acceleration information on the vehicle driving state recording cycle, and those skilled in the art to which the present invention pertains, the vehicle driving state recording by referring to and / or modified in the present figure Various implementation methods (for example, some steps may be omitted or the order may be changed) may be inferred for calculating acceleration information corresponding to a period, but the present invention may include all implementation methods inferred from the above. It is made, the technical features are not limited only to the implementation method shown in FIG.

Referring to FIG. 6, the acceleration sensing unit included in the vehicle driving state information processing device illustrated in FIG. 1 may be configured to acquire three-dimensional acceleration data of the vehicle from an acceleration sensor after power is supplied. If the vehicle driving state recording period is determined through the vehicle driving state recording cycle determination process shown in FIG. 2 (220), the acceleration information calculating unit provided in the vehicle driving state information processing apparatus is determined. In operation n (n> 1), it is checked whether the three-dimensional acceleration data of the vehicle is measured and acquired through the acceleration sensing unit (605).

If 3D acceleration data of the vehicle is measured through the acceleration sensing unit (610), the acceleration information calculator calculates nth acceleration information corresponding to the nth driving state recording period based on the measured acceleration data. (615).

On the other hand, if the 3D acceleration data of the vehicle is not measured through the acceleration sensing unit (610), the acceleration information calculation unit of the acceleration information calculation unit of the previously measured one or more acceleration data and / or one or more previous vehicle driving state recording period Calculating the latest driving speed before the nth vehicle driving state recording period of the vehicle through the acceleration data (eg, (n-1) to (ni, (1 <= i <n)) acceleration data; Predict the three-dimensional acceleration data of the vehicle corresponding to the n-th driving state recording period based on the latest driving speed and the time of the n-th driving state recording period (620), and through the predicted three-dimensional acceleration data. N-th acceleration information of the vehicle is calculated (625).

Here, the n-th acceleration information corresponds to the time corresponding to the n-th vehicle driving state recording period of the integer (or real) to binary code form acceleration data corresponding to the 3D acceleration data of the n-th driving state recording period. It is preferable to include acceleration information represented by a vector value or a scalar value on three-dimensional coordinates.

If the n th acceleration information of the vehicle is calculated through the predicted acceleration data by the acceleration information calculator 630, the vehicle driving state information processing apparatus performs a correction process on the predicted acceleration information.

7 is a diagram illustrating a process of correcting acceleration information corresponding to a vehicle driving state recording period according to an exemplary embodiment of the present invention.

In more detail, in FIG. 7, when the nth acceleration information for the n (n> 1) vehicle driving state recording periods is calculated through the acceleration data predicted through the acceleration information calculation process shown in FIG. 6, FIG. The process of correcting the n-th acceleration information through the acceleration data to be measured next in the vehicle driving state information processing apparatus shown in FIG. 7 is a person having ordinary knowledge in the technical field to which the present invention belongs. Various implementation methods (e.g., some steps may be omitted or reordered) may be inferred by reference and / or modification to correct acceleration information corresponding to the vehicle driving state recording period. The invention includes all the implementation methods inferred, and the technical features are not limited only to the implementation method shown in FIG. All.

Referring to FIG. 7, when the nth acceleration information for the n (n> 1) vehicle driving state recording periods is calculated through the acceleration data predicted through the acceleration information calculation process illustrated in FIG. 6 (630), The acceleration information correction unit included in the vehicle driving state information processing apparatus checks the next measured acceleration data through the acceleration sensing unit (700).

If the next measured acceleration data is confirmed (705), the acceleration information corrector may include one or more previously measured acceleration data and / or acceleration data of one or more previous vehicle driving state recording periods (e.g., (n-1) to zero ( ni, (1 <= i <n)) acceleration data) to predict the next acceleration data at the time when the next acceleration data is measured, and compare the predicted next acceleration data with the measured next acceleration data. When the predicted next acceleration data and the measured next acceleration data are found within a preset reference error range as a result of the comparison, the nth acceleration information of the vehicle calculated through the predicted acceleration data is used as it is. If the next predicted acceleration data and the measured next acceleration data are outside the preset reference error range, the previously measured lower The above acceleration data and the next measured acceleration data and / or the acceleration data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i <n)) acceleration data) Through reproducing and correcting the n-th acceleration information of the vehicle (710).

If the n-th acceleration information is corrected (715), the vehicle driving state information processing apparatus performs the process of generating n-th driving state information including the corrected n-th acceleration information.

8 is a diagram illustrating a process of correcting acceleration information corresponding to a vehicle driving state recording period according to another exemplary embodiment of the present invention.

In detail, FIG. 8 illustrates that the nth acceleration information for the n (n> 1) vehicle driving state recording periods is calculated through the acceleration data predicted through the acceleration information calculation process shown in FIG. When a singularity occurs in the next measured acceleration data measured to correct n acceleration information, the present invention relates to a process of correcting the n 'acceleration information corresponding to the singularity to be included in the vehicle driving state information. Those skilled in the art may refer to and / or modify this drawing to implement various methods of correcting acceleration information corresponding to the vehicle driving state recording period (for example, some steps may be omitted or Or an altered order of implementation), but the present invention includes all the inferred implementation methods. , Only the exemplary method shown in the figure 8 is not limited that technical feature.

Referring to FIG. 8, when n th acceleration information on an n (n> 1) vehicle driving state recording period is calculated through the acceleration data predicted through the acceleration information calculation process illustrated in FIG. 6, the n th acceleration information is calculated (630). The acceleration information correcting unit included in the vehicle driving state information processing apparatus checks the next measured acceleration data through the acceleration sensing unit (800).

If the next measured acceleration data is confirmed (805), the acceleration information correcting unit checks the time when the next acceleration data is measured, and the acceleration data of one or more previously measured acceleration data and / or one or more previous vehicle driving state recording periods ( For example, through (n-1) to (ni, (1 <= i <n) acceleration data), the next acceleration data of the time when the next acceleration data is measured is predicted (810), and the next measured acceleration The next measured acceleration data is compared with the next predicted acceleration data by comparing the data with the next predicted data to determine whether it is out of a predetermined error range (815).

If it is determined that the next measured acceleration data is out of a preset error range with the next predicted acceleration data (820), the acceleration information corrector may record one or more previously measured acceleration data and / or one or more previous vehicle driving state recording periods. Predicts the next acceleration data at the time when the next acceleration data is measured through the acceleration data of (n-1) to (ni, (1 <= i <n)); And then compare the measured acceleration data with the measured next acceleration data. When the predicted acceleration data and the measured next acceleration data are identified within a preset reference error range, the predicted acceleration data may be compared. While using the n-th acceleration information of the vehicle calculated as it is, the predicted next acceleration data If the measured next acceleration data is out of the preset reference error range, the previously measured one or more acceleration data and the next measured acceleration data and / or the acceleration data of one or more previous vehicle driving state recording periods (eg, (n-1) ) And (ni, (1 <= i <n)) acceleration data) to recalculate and correct the n-th acceleration information of the vehicle (825).

On the other hand, if it is determined that the next measured acceleration data is out of the preset error range with the next predicted acceleration data (820), the singularity between the (n-1) th acceleration information and the nth acceleration information through the next measured acceleration data ( For example, the n'th acceleration information on accident occurrence, rapid acceleration, and rapid brake) is calculated (830), and the nth acceleration information is processed as the nth acceleration information to be included in the vehicle driving state information (835). ).

When the n 'acceleration information is calculated according to the exemplary embodiment of the present invention, the (n-1) to (ni, (1 <= i <n)) acceleration information is the (n-2) to (ni) (1 <= i <n) acceleration information is changed in order, and the n 'acceleration information is changed to (n-1) th acceleration information, and vice versa. Preferably, the n-th acceleration information is changed to n-th acceleration information and the n-th acceleration information is changed to (n + 1) th acceleration information.

9 is a diagram illustrating a process of calculating movement direction information corresponding to a vehicle driving state recording cycle according to an exemplary embodiment of the present invention.

In more detail, FIG. 9 shows that the vehicle driving state information processing period shown in FIG. 1 is determined by the n (n> 1) after the vehicle driving state recording period is determined through the vehicle driving state recording cycle determination process shown in FIG. The process of calculating the n-th movement direction information for the vehicle driving state recording cycle, and a person having ordinary skill in the art to which the present invention pertains refers to the vehicle driving state by referring to and / or modifying the drawing 9. Various implementation methods (for example, some steps may be omitted or the order may be changed) may be inferred for the process of calculating the movement direction information corresponding to the recording period, but the present invention may infer all implementation methods inferred from the above. It is made, including, and the technical features are not limited only to the implementation method shown in FIG.

Referring to FIG. 9, after the power is supplied, the direction sensing unit of the vehicle driving state information processing apparatus illustrated in FIG. 1 acquires three-dimensional movement direction data of the vehicle from a gyro sensor in a preset manner. If the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in FIG. 2 (220), the movement direction information calculating unit provided in the vehicle driving state information processing apparatus is repeated. In operation (905), it is determined whether the three-dimensional movement direction data of the vehicle is measured and obtained through the direction sensing unit in the n (n> 1) th vehicle driving state recording period.

If the three-dimensional movement direction data of the vehicle is measured through the direction sensing unit (910), the movement direction information calculation unit is the n-th movement direction corresponding to the n-th vehicle driving state recording period through the measured movement direction data. Information is calculated (915).

On the other hand, if the three-dimensional movement direction data of the vehicle is not measured through the direction sensing unit (910), the movement direction information calculator may include one or more movement direction data previously measured and / or one or more previous vehicle operations. Recent driving speed before the nth vehicle driving state recording period of the vehicle through the movement direction data of the state recording cycle (for example, (n-1) to (ni, (1 <= i <n)) movement direction data) Calculates the three-dimensional movement direction data of the vehicle corresponding to the n-th driving state recording period based on the calculated recent driving speed and the n-th driving state recording period (920), and predicts The n-th moving direction information of the vehicle is calculated through the three-dimensional moving direction data thus obtained (925).

Here, the n-th movement direction information corresponds to the n-th vehicle driving state recording period in which integer (or real) to binary code-type movement direction data corresponds to the 3D movement direction data of the n-th vehicle driving state recording period. It is preferable to include the movement direction information represented by the vector value or the scalar value on three-dimensional coordinates corresponding to time.

If the nth moving direction information of the vehicle is calculated through the predicted moving direction data by the moving direction information calculating unit (930), the vehicle driving state information processing apparatus corrects the predicted moving direction information. Do this.

10 is a diagram illustrating a process of correcting moving direction information corresponding to a vehicle driving state recording period according to an exemplary embodiment of the present invention.

In more detail, in FIG. 10, when the nth moving direction information for the n (n> 1) vehicle driving state recording periods is calculated through the moving direction data predicted through the moving direction information calculating process illustrated in FIG. 9, In the vehicle driving state information processing apparatus shown in FIG. 1, a process of correcting the n-th moving direction information through the next measured movement direction data, and has a general knowledge in the technical field to which the present invention belongs. By referring to and / or modifying the drawing 10, a variety of implementation methods (e.g., implementation steps in which some steps are omitted or the order is changed) can be inferred for correcting the moving direction information corresponding to the vehicle driving state recording period. Although the present invention may be implemented, the present invention includes all the implementation methods inferred above, and the technical features are only shown by the implementation method shown in FIG. This is not limited.

Referring to FIG. 10, when the nth moving direction information for the n (n> 1) vehicle driving state recording periods is calculated through the moving direction data predicted through the moving direction information calculating process shown in FIG. 9 (930) In operation 1000, the moving direction information correcting unit included in the vehicle driving state information processing apparatus checks the next measured moving direction data through the direction sensing unit.

If the next measured movement direction data is confirmed (1005), the movement direction information correcting unit includes one or more previously measured movement direction data and / or movement direction data of one or more previous vehicle driving state recording periods (eg, (n-1). ) Through (ni, (1 <= i <n)) moving direction data) to predict the next moving direction data at the time when the next moving direction data is measured, and then measured with the predicted next moving direction data. And comparing the moving direction data. When the predicted next moving direction data and the measured next moving direction data are within a preset reference error range, the calculated moving direction data is calculated. The n-th moving direction information of the vehicle is used as it is, and the predicted next moving direction data and the measured next moving direction data are preset. Outside the reference error range, one or more previously measured movement direction data and the next measured movement direction data and / or movement direction data of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni) (1 <= i <n), the n-th moving direction information of the vehicle is recalculated and corrected through the moving direction data (1010).

If the n th moving direction information is corrected (1015), the vehicle driving state information processing apparatus performs a process of generating n th driving state information including the corrected n th moving direction information.

11 is a diagram illustrating a process of correcting moving direction information corresponding to a vehicle driving state recording period according to another exemplary embodiment of the present invention.

More specifically, in FIG. 11, after the n-th moving direction information for the n (n> 1) vehicle driving state recording periods is calculated through the moving-direction data predicted by the moving-direction information calculation process shown in FIG. And when a singular point is generated from the next measured moving direction data measured to correct the nth moving direction information, calculating the n 'moving direction information corresponding to the singular point to be included in the vehicle driving state information. As a person of ordinary skill in the art to which the present invention pertains, various implementation methods for correcting the moving direction information corresponding to the vehicle driving state recording period by referring to and / or modifying the present drawing 11 ( For example, some steps may be omitted, or the order of implementation may be altered. It becomes to include the place, to which the technical feature that is not limited to the exemplary method shown in the figure 11.

Referring to FIG. 11, when the nth moving direction information for the n (n> 1) vehicle driving state recording periods is calculated through the moving direction data predicted through the moving direction information calculating process shown in FIG. 9 (930) In operation 1100, the moving direction information correcting unit included in the vehicle driving state information processing device checks the next measured moving direction data through the direction sensing unit.

If the next measured moving direction data is confirmed (1105), the moving direction information correcting unit checks the time when the next moving direction data is measured and records one or more previously measured moving direction data and / or one or more previous vehicle driving state recording periods. Predicts the next movement direction data at the time when the next movement direction data is measured through the movement direction data of (n-1) to (ni, (1 <= i <n)). In operation 1115, the next measured moving direction data is compared with the next predicted moving direction data by comparing the next measured moving direction data with the next predicted data.

If it is determined that the next measured movement direction data is out of the preset error range with the next predicted movement direction data (1120), the movement direction information corrector may include one or more previously measured movement direction data and / or one or more previous vehicles. Next moving direction at the time when the next moving direction data is measured through moving direction data (for example, (n-1) to (ni, (1 <= i <n)) moving direction data of the driving state recording period) And predicting data, and comparing the predicted next movement direction data with the measured next movement direction data. As a result of the comparison, the predicted next movement direction data and the measured next movement direction data are preset reference errors. If it is confirmed within the range, the n-th moving direction information of the vehicle calculated through the predicted moving direction data is used as it is. If the predicted next movement direction data and the measured next movement direction data are out of a preset reference error range, one or more previously measured movement direction data and the next measured movement direction data and / or one or more previous vehicle operation The n-th moving direction information of the vehicle is recalculated and corrected through the moving direction data (for example, (n-1) to (ni, (1 <= i <n)) moving direction data of the state recording period). (1125).

On the other hand, if it is determined that the next measured moving direction data is out of the preset error range with the next predicted moving direction data (1120), the (n-1) th moving direction information and the nth moving direction are determined through the next measured moving direction data. Calculating the n'th moving direction information for the singularity between the information (for example, accident occurrence and sudden steering wheel operation during high speed driving) (1130) and including the calculated n 'moving direction information in the vehicle driving state information; Process as the movement direction information (1135).

When the n 'moving direction information is calculated according to the exemplary embodiment of the present invention, the (n-1) to (ni, (1 <= i <n)) moving direction information is obtained from the (n-2) to the th agent. (ni, (1 <= i <n)) The moving direction information is changed in order, and the n 'moving direction information is changed to the (n-1) th moving direction information, and vice versa. Preferably, the moving direction information is changed to the nth moving direction information, and the existing nth moving direction information is changed to the (n + 1) th moving direction information.

12 is a diagram illustrating a process of calculating slope information corresponding to a vehicle driving state recording cycle according to an embodiment of the present invention.

More specifically, in FIG. 12, after the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in FIG. 2, n (n> 1) in the vehicle driving state information processing apparatus shown in FIG. The process of calculating the n-th slope information on the vehicle driving state recording cycle, and a person skilled in the art to which the present invention pertains may record the vehicle driving state by referring to and / or modifying the drawing 12. Various implementation methods (for example, some steps may be omitted or the order may be changed) may be inferred for the process of calculating the slope information corresponding to the period, but the present invention may include all implementation methods inferred from the above. The technical features are not limited only to the implementation method shown in FIG. 12.

For example, one of ordinary skill in the art will be able to infer an implementation method of correcting the n-th slope information with reference to FIGS. 9, 10, and 11, and the present invention is inferred from It is obvious that all implementation methods are included.

Referring to FIG. 12, the direction sensing unit included in the vehicle driving state information processing device illustrated in FIG. 1 is configured to acquire a three-dimensional gradient data of the vehicle from a gyro sensor after power is supplied. Repeated (1200), if the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in Figure 2 (220), the slope information calculation unit provided in the vehicle driving state information processing apparatus is n (n> 1) It is checked whether the 3D gradient data of the vehicle is measured and obtained through the direction sensing unit in the vehicle driving state recording period (1205).

If the 3D tilt data of the vehicle is measured through the direction sensing unit (1210), the tilt information calculator calculates n-th slope information corresponding to the n-th driving state recording period through the measured tilt data. (1215).

On the other hand, if the 3D tilt data of the vehicle is not measured through the direction sensing unit (1210), the tilt information calculator may include the one or more previously measured tilt data and / or one or more previous vehicle driving state recording periods. Calculating the latest traveling speed before the nth vehicle driving state recording period of the vehicle through the slope data (eg, (n-1) to (ni, (1 <= i <n)) slope data; Predicted 3D slope data of the vehicle corresponding to the nth vehicle driving state recording period based on the latest driving speed and the time of the nth driving state recording cycle (1220), and through the predicted 3D slope data. The n th slope information of the vehicle is calculated (1225).

Here, the n-th inclination information corresponds to the time corresponding to the n-th vehicle driving state recording period in which the inclination data of integer (or real) to binary code form corresponding to the three-dimensional inclination data of the n-th driving state recording period corresponds to the n-th vehicle driving state recording period. It is preferable to include the inclination information represented by the vector value or the scalar value on the three-dimensional coordinates.

FIG. 13 is a diagram illustrating a process of calculating speed information corresponding to a vehicle driving state recording period according to an embodiment of the present invention.

In more detail, in FIG. 13, a vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determining process shown in FIG. 2, and the position information calculating process shown in FIG. 3 to FIG. 4 or FIG. 5 are shown. If the n th position information for the n th (n> 1) vehicle driving state recording cycle is calculated (or corrected) through the corrected position information correction process, the n th position information and the position information of the one or more previous vehicle driving state recording cycles And a process for calculating the n-th speed information of the vehicle through the n-th vehicle driving state recording period, which is a person having ordinary skill in the art to which the present invention pertains. Various implementation methods (e.g., some steps may be omitted or the order may be changed) for calculating speed information corresponding to the vehicle driving state recording period by modifying Exemplary method would be able to infer a), the present invention is made, including any exemplary way in which the inference, to which the technical feature that is not limited to the exemplary method shown in the figure 13.

Referring to FIG. 13, the speed information calculating unit included in the vehicle driving state information processing apparatus is calculated through the position information calculating unit in the position information calculating process shown in FIG. 3, or the position information shown in FIG. 4 or 5. N-th position information corrected by the position information corrector in the calibration process and position information of one or more previous vehicle driving state recording periods (eg, (n-1) to (ni, (1 <= i <n)) positions Information) and the vehicle driving state recording cycle determined through the vehicle driving state recording cycle determination process shown in FIG. 2 (1305).

If the vehicle driving state recording period and the n-th position information and the position information of at least one previous vehicle driving state recording period (for example, (n-1) to (ni, (1 <= i <n)) position information ), The speed information calculator calculates the position information of the vehicle driving state recording period and the one or more previous vehicle driving state recording periods calculated by the position information calculating unit (eg, (n-1) to). The n th speed information of the n th driving state recording period is calculated based on the (ni, (1 <= i <n)) th position information) and the n th position information (1315).

14 is a diagram illustrating a process of generating vehicle driving state information corresponding to a vehicle driving state recording cycle according to an embodiment of the present invention.

More specifically, in FIG. 14, after the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in FIG. 2, the nth position information is calculated through the position information calculating process shown in FIG. The n-th position information is corrected through the position information correction process illustrated in FIG. 4 or 5, and the n-th acceleration information is calculated through the acceleration information calculation process illustrated in FIG. 6, or the FIG. 7 or FIG. The n-th acceleration information is corrected through the acceleration information correction process shown in FIG. 8, and the n-th movement direction information is calculated through the process of calculating the movement direction information shown in FIG. 9, or as shown in FIG. 10 or 11. When the n-th moving direction information is corrected through the moving direction information correcting process, the n-th position information, the n-th acceleration information, and the n-th moving direction information are included. The process for generating the n-th vehicle driving state information, which is a person skilled in the art to which the present invention pertains, referring to and / or modifying the present figure 14 corresponding to the vehicle driving state recording period Various implementation methods (for example, some steps may be omitted or the order may be changed) for the process of generating vehicle driving state information may be inferred, but the present invention includes all the implementation methods inferred. However, the technical features are not limited only to the implementation method shown in FIG.

Referring to FIG. 14, after the vehicle driving state recording cycle is determined through the vehicle driving state recording cycle determination process shown in FIG. 2, the information generation unit of the vehicle driving state information processing apparatus calculates the position information shown in FIG. 3. The n th position information is calculated through the process, or the n th position information is corrected through the position information correction process shown in FIG. 4 or 5, and the n th acceleration is calculated through the acceleration information calculation process shown in FIG. 6. Information is calculated or the n-th acceleration information is corrected through the acceleration information correction process illustrated in FIG. 7 or 8, and the n-th movement direction information is calculated through the movement direction information calculation process illustrated in FIG. 9. In operation 1400, it is checked whether the n-th moving direction information is corrected through the moving direction information correcting process illustrated in FIG. 10 or 11.

If it is confirmed that the n-th position information, the n-th acceleration information, and the n-th movement direction information is calculated (or corrected) (1405), the information generating unit of the vehicle driving state information processing apparatus may include the n-th position information of the vehicle, The nth acceleration information and the nth moving direction information are synchronized based on the synchronized time synchronized by the timer unit (1410), and the nth position information, the nth acceleration information, and the nth moving direction synchronized through the synchronization time. The n-th vehicle driving state information including one or more information is generated (1420).

If the n th speed information for the synchronization time is further calculated through the slope information calculation process shown in FIG. 12, and / or the n th slope for the synchronization time through the speed information calculation process shown in FIG. If the information is further calculated (1415), the information generator includes one or more n-th position information, n-th acceleration information, and n-th moving direction information synchronized through the synchronization time, and the synchronized n-th speed information and / Alternatively, the n-th vehicle driving state information further including n-th slope information is generated (1425).

The information generation unit temporarily stores (nj) pre-accident vehicle driving state information from the (nj, (1 <= j <n)) vehicle driving state information to the nth vehicle driving state information (eg, in the FIFO memory). Save) (1430).

While the information generating unit generates n-th vehicle driving state information and temporarily stores (nj) vehicle driving state information for a predetermined time, the accident occurrence confirming unit accidents in the vehicle in the n-th vehicle driving state recording period. (1435), if it is confirmed that the n-th vehicle driving state recording cycle accident occurs (1440), the vehicle driving state information processing device is a vehicle driving state for a predetermined time before and after the accident occurs The process of storing the information in the memory unit.

15 is a diagram illustrating an accident occurrence processing process according to an embodiment of the present invention.

In more detail, FIG. 15 shows (nj) from the (nj, (1 <= j <n)) vehicle driving state information to the nth vehicle driving state information through the vehicle driving state information generating process shown in FIG. While generating and temporarily storing the vehicle driving state information before the accident, if it is confirmed that the accident occurred in the n-th driving state recording cycle, storing the vehicle driving state information for a predetermined time before and after the accident occurs in the memory unit As for a process, one of ordinary skill in the art to which the present invention pertains can refer to and / or modify this drawing 15 to implement various methods (e.g., some steps are omitted, or It will be possible to infer an implementation method in which the order is changed), but the present invention includes all the implementation methods inferred from the above, and only the implementation method shown in FIG. Jing is not limited.

Referring to FIG. 15, (nj) (j) from the (nj, (1 <= j <n)) vehicle driving state information to the nth vehicle driving state information through the vehicle driving state information generating process shown in FIG. While generating and temporarily storing vehicle driving state information before an accident, when it is confirmed that an accident has occurred in the nth vehicle driving state recording cycle (1440), the information storage unit of the vehicle driving state information processing device temporarily stores the information generating unit. (Nj) (nj, (1 <= j <n)) stored (nj) pre-incident vehicle driving state information from the vehicle driving state information to the nth vehicle driving state information (1500).

In addition, after the nth vehicle driving state recording period in which the accident has occurred, the information generating unit calculates (n + 1) th position information through the position information calculating process shown in FIG. The (n + 1) th position information is corrected through the position information correction process shown in FIG. 5, and the (n + 1) th acceleration information is calculated through the acceleration information calculation process shown in FIG. The (n + 1) th acceleration information is corrected through the acceleration information correction process shown in FIG. 7 or FIG. 8, and the (n + 1) th movement direction information is calculated through the movement direction information calculation process shown in FIG. Alternatively, it is checked whether the (n + 1) th moving direction information is corrected through the moving direction information correcting process shown in FIG. 10 or 11 (1505).

If it is confirmed that the (n + 1) th position information, the (n + 1) th acceleration information, and the (n + 1) th movement direction information are calculated (or corrected) (1510), the vehicle driving state information processing apparatus The information generating unit of the (n + 1) th position information, the (n + 1) th acceleration information, the (n + 1) th movement direction information of the vehicle is synchronized based on the synchronization time synchronized by the timer unit ( 1515) a (n + 1) th vehicle including one or more (n + 1) th position information, (n + 1) th acceleration information, and (n + 1) th moving direction information synchronized through the synchronization time; The driving state information is generated (1525).

If the (n + 1) speed information for the synchronization time is further calculated through the slope information calculation process shown in FIG. 12, and / or the speed information calculation process shown in FIG. When the (n + 1) th slope information is further calculated (1520), the information generation unit (n + 1) position information, (n + 1) acceleration information, and (n +) synchronized with the synchronization time 1) Generates (n + 1) vehicle driving state information including at least one moving direction information and further comprising the synchronized (n + 1) speed information and / or (n + 1) slope information. (1530).

The information storage unit stores (n + k) vehicle driving state information from the generated (n + 1) vehicle driving state information to (n + k, k> 1) vehicle driving state information before the accident occurs. In operation 1535, the vehicle driving state information of (n + k) is stored in the memory unit in association with the (nj) pre-incident vehicle driving state information.

The process is repeated until the vehicle driving state information reaches (n + k) after the accident. If the vehicle driving state information of (n + k) is stored in the memory unit (1540), the information generating unit The vehicle driving state information generation process shown in 14 is performed again.

According to the present invention, the GPS unit, the acceleration sensor, the gyro sensor is provided with a vehicle driving state information processing device that operates independently of the vehicle, the advantage of accurately and reliably records the vehicle driving state before and after an accident occurs. have.

Claims (15)

A GPS unit, an acceleration sensor, and a gyro sensor, and obtain visual data and position data of the vehicle from the GPS unit while driving the vehicle, obtain acceleration data of the vehicle from the acceleration sensor, and move the vehicle from the gyro sensor. In the method for processing vehicle driving status information through a sensor module for obtaining data, Determining a vehicle driving state recording period in which the vehicle driving state information is to be recorded by synchronizing a vehicle driving state recording time including position information, acceleration information, and moving direction information of the vehicle through the time data; Checking whether the position data, acceleration data, and movement direction data of the vehicle are measured from the sensor module in an n (n> 1) vehicle driving state recording period; If there is data that is not measured in the n-th driving state recording period among the position data, the acceleration data, and the moving direction data, the data of the n-th driving state recording period is predicted based on the data of the previous period, Calculating n-th position information, n-th acceleration information, and n-th moving direction information of the n-th driving state recording period based on the predicted data and the data measured by the sensor module; And Generating n-th vehicle driving state information by synchronizing the n-th position information, the n-th acceleration information, and the n-th moving direction information of the vehicle on the basis of a synchronization time; Way. The method of claim 1, wherein the calculating of the n th position information, the n th acceleration information, and the n th movement direction information of the n th vehicle driving state recording period includes: When the position data measured in the n-th vehicle driving state recording period is confirmed, the n-th position information of the vehicle is calculated through the measured position data, and when the position data is not measured in the n-th vehicle driving state recording period, Predicting position data of the n-th driving state recording period from at least one previously measured position data, calculating n-th position information of the vehicle based on the predicted position data, When the measured acceleration data is confirmed in the n-th vehicle driving state recording period, the n-th acceleration information of the vehicle is calculated based on the measured acceleration data, and when the acceleration data is not measured in the n-th vehicle driving state recording period, Predicting acceleration data of the n-th driving state recording period from at least one previously measured acceleration data, calculating n-th acceleration information of the vehicle based on the predicted acceleration data, When the measured movement direction data is confirmed in the n-th vehicle driving state recording period, the n-th movement direction information of the vehicle is calculated based on the measured movement direction data, and the movement direction data in the n-th vehicle driving state recording period. If is not measured, predicting the moving direction data of the n-th driving state recording period from the previously measured one or more moving direction data, and calculating the n-th moving direction information of the vehicle based on the predicted moving direction data. Vehicle driving status information processing method comprising a. The method of claim 1, Confirming next measurement position data from the sensor module when n-th position information of the vehicle is calculated through predicted position data; And And correcting the n-th position information through at least one previously measured position data and next measured position data when the next measured position data is confirmed. The method of claim 1, Confirming next measurement position data from the sensor module when n-th position information of the vehicle is calculated through predicted position data; Confirm the time when the next position data was measured, predict the position data of the actual time, compare the next actual position data with the next prediction data, and the next actual position data is set to the next predicted position data and a preset error range. Checking whether it deviates; Calculating n 'position information for a singular point between the (n-1) th position information and the nth position information based on the next measured position data, when it is determined that the set error range is out of the range; Checking a time at which the next measured position data is measured and calculating n 'acceleration information and n' moving direction information of the measured time; And And generating n 'vehicle driving state information by synchronizing n' position information, n 'acceleration information, and n' movement direction information of the vehicle through the measured time point. Vehicle driving status information processing method. The method of claim 1, Confirming next measured acceleration data from the sensor module when the nth acceleration information of the vehicle is calculated through the predicted acceleration data; And And correcting the n-th acceleration information through the previously measured one or more acceleration data and the next measured acceleration data when the next measured acceleration data is confirmed. The method of claim 1, Confirming next measured acceleration data from the sensor module when the nth acceleration information of the vehicle is calculated through the predicted acceleration data; Check the time when the next acceleration data was measured, predict the acceleration data of the measured time, compare the next measured acceleration data with the next predicted data, and the next measured acceleration data corresponds to the next predicted acceleration data and a preset error range. Checking whether it deviates; Calculating n 'acceleration information for a singular point between the (n-1) th acceleration information and the nth acceleration information based on the next measured acceleration data when it is determined that the set error range is out of the range; Checking a time at which the next measured acceleration data is measured and calculating n 'position information and n' moving direction information of the measured time; And And generating n 'vehicle driving state information by synchronizing n' position information, n 'acceleration information, and n' movement direction information of the vehicle through the measured time point. Vehicle driving status information processing method. The method of claim 1, Confirming next measurement movement direction data from the sensor module when n-th movement direction information of the vehicle is calculated through predicted movement direction data; And And correcting the n-th moving direction information based on the previously measured one or more measured moving direction data and the next measured moving direction data when the next measured moving direction data is confirmed. Lee way. The method of claim 1, Confirming next measurement movement direction data from the sensor module when n-th movement direction information of the vehicle is calculated through predicted movement direction data; Confirm the time at which the next moving direction data was measured, predict the moving direction data of the measured time, compare the next measured moving direction data with the next predicted data, and the next measured moving direction data is the next predicted moving direction data; Checking whether it is out of a preset error range; Calculating n 'moving direction information for a singular point between the (n-1) th moving direction information and the nth moving direction information based on the next measured moving direction data when it is determined that the set error range is out of the range; Checking a time at which the next measured movement direction data is measured and calculating n 'position information and n' acceleration information of the measured time; And And generating n 'vehicle driving state information by synchronizing n' position information, n 'acceleration information, and n' movement direction information of the vehicle through the measured time point. Vehicle driving status information processing method. The method of claim 1, When the occurrence of the accident is confirmed in the n-th vehicle driving state recording period, from the (nj, (1 <= j <n)) th driving state information to the n-th vehicle driving state information based on the n-th driving state recording period that occurred. (nj) pre-accident vehicle driving status information and (n + k) k driving status information from (n + k, k> 1) vehicle driving status information to (n + k) vehicle driving status information And storing information in a memory unit in association with the vehicle driving state information processing method. The method of claim 1, wherein the n-th vehicle driving state information, And n-th speed information and n-th slope information corresponding to the n-th vehicle driving state recording period. A computer-readable recording medium having recorded thereon a program for executing the method of claim 1. A GPS unit, an acceleration sensor, and a gyro sensor, and obtain visual data and position data of the vehicle from the GPS unit while driving the vehicle, obtain acceleration data of the vehicle from the acceleration sensor, and obtain the vehicle from the gyro sensor. In the vehicle driving state information processing apparatus having a sensor module for obtaining the movement direction data, A timer unit configured to determine a vehicle driving state recording period in which the vehicle driving state information is recorded by synchronizing a vehicle driving state recording time including position information, acceleration information, and moving direction information of the vehicle through the time data; A position information calculator for calculating n-th position information corresponding to the determined n-th (n> 1) vehicle driving state recording period; An acceleration information calculator configured to calculate n-th acceleration information corresponding to the n-th vehicle driving state recording period; A movement direction information calculator configured to calculate n-th movement direction information corresponding to the n-th vehicle driving state recording period; And And an information generator for generating n-th vehicle driving state information including the n-th position information, the n-th acceleration information, and the n-th movement direction information. The method of claim 12, wherein the location information calculation unit, If the position data of the vehicle is measured from the sensor module in the n (n> 1) th vehicle driving state recording period, and if the position data measured in the nth driving state recording period is confirmed, the measured position data Computing the n-th position information of the vehicle through, and if the position data is not measured in the n-th driving state recording period, the position data of the n-th driving state recording period is predicted from one or more previously measured position data And calculating n-th position information of the vehicle based on the predicted position data. The method of claim 12, wherein the acceleration information calculation unit, When the acceleration data of the vehicle is measured from the sensor module in the nth vehicle driving state recording period, and the acceleration data measured in the nth driving state recording period is confirmed, the measured acceleration data of the vehicle is determined. Calculates n-th acceleration information, and if acceleration data is not measured in the n-th driving state recording period, predicts acceleration data of the n-th driving state recording period from the previously measured one or more acceleration data, and calculates the estimated And n-th acceleration information of the vehicle is calculated based on acceleration data. The method of claim 12, wherein the moving direction information calculation unit, When the moving direction data of the vehicle is measured from the sensor module in the nth driving state recording period, and the moving direction data measured in the nth driving state recording period is checked, the measured moving direction data is determined. Computing n-th moving direction information of the vehicle, and if moving direction data is not measured in the n-th driving state recording period, moving direction data of the n-th driving state recording period from one or more previously measured moving direction data. Predicting and calculating n-th moving direction information of the vehicle based on the predicted moving direction data.

Images