KR20180108319A - Space-time indexing method based on driver maneuver and driver evaluation method using the same - Google Patents

Abstract

Disclosed are a space-time indexing method based on a driver maneuver and a driver evaluation method using the same. The space-time indexing method based on a driver maneuver comprises: a step of collecting data related to a yaw rate, an accelerator strength, a brake strength, a gear location, a 3-axis accelerometer value, and a GPS location through an interface of at least one of an on-board diagnosing apparatus installed in a vehicle and a user terminal; a step of converting the collected data into a maneuver sequence of the driver; and a step of indexing the maneuver sequence in accordance with location and time.

Description

TECHNICAL FIELD [0001] The present invention relates to a space-time index method for a driver ' s motor vehicle and a driver evaluation method using the same. [0002] SPACE-TIME INDEXING METHOD BASED ON DRIVER MANUAL AND DRIVER EVALUATION METHOD USING THE SAME [

Embodiments of the present invention relate to a driver evaluation method, and more particularly, to a space time index method for a driver's maneuver and a driver evaluation method using the same.

Traffic accidents are caused by various causes such as road factors, vehicle factors, and driver factors. Among them, driver factors are known to be the main cause of traffic accidents.

Accidents caused by driver factors have various forms such as drunk driving and drowsy driving, and most of them are caused by combination with road factors. The combination of road factors and driver factors can be a major cause of traffic accidents when combined with environmental factors such as nighttime and bad weather.

Many efforts have been made to improve the geometry of road factors or to reduce accidents through the installation of safety facilities. However, the effect of reducing road accidents is virtually negligible. In this way, there is a need for measures to reduce driver factors, which are the main causes of traffic accidents.

U.S. Published Patent Application No. 2011/0288904 (November 24, 2011)

SUMMARY OF THE INVENTION It is an object of the present invention to provide a space time indexing method for a driver ' s motor vehicle which can accurately distinguish a driver's tendency by analyzing a driver's maneuver in the same section, It provides the driver evaluation method.

Another object of the present invention is to provide a space time index method for a driver's motor vehicle which can classify a driver having an abnormal driving pattern and a driver's evaluation method using the space time index method.

According to an aspect of the present invention, there is provided a time-space indexing method for a driver maneuver, the method comprising the steps of: determining a yaw rate Collecting data on accelerator strength, brake strength, gear position, three-axis acceleration sensor value, and global positioning system (GPS) position; Converting the collected data into a driver's maneuver sequence; And indexing the mergeur sequence according to location and time.

According to another aspect of the present invention, there is provided a method for evaluating a driver using a space time index method for a driver's motor vehicle, the method comprising the steps of: Collecting data on yaw rate, accelerator strength, brake strength, gear position, three-axis acceleration sensor value, and global positioning system (GPS) position; Converting the collected data into a driver's maneuver sequence; Indexing the mergeur sequence according to location and time; And retrieving a subsequence of a sub-sequence at a specific location and at a specific time for a particular driver according to the search request.

In the case of using the space time index method for driver's maneuver and the driver's evaluation method using the driver's maneuver according to the present invention, driver's maneuver in the same section indexed at specific position and specific time is analyzed, Can be distinguished.

Further, it is possible to classify the driver who shows an abnormal driving pattern such as drowsy driving and drunken driving, thereby making it possible to classify a driver who is in alarm, notification, Information, that is, information on a driver or a vehicle showing an abnormal driving pattern, to the corresponding driver or the surrounding driver, thereby inducing safe driving and providing a safe driving environment.

1 is a flowchart of a space time index method for a driver's maneuver according to an embodiment of the present invention.
2 is a flowchart of a driver evaluation method using a space time index for a driver's maneuver according to another embodiment of the present invention.
3 is a block diagram of an apparatus for performing a space time index method for a driver maneuver according to another embodiment of the present invention or a driver evaluation method using the same.

In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. Even if the terms are the same, it is to be noted that when the portions to be displayed differ, the reference signs do not coincide.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.

The terms first, second, etc. in this specification may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are to be interpreted in an ideal or overly formal sense unless explicitly defined in the present application Do not.

Also, when a part is referred to as "including " an element, it does not exclude other elements unless specifically stated otherwise.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Like reference numerals in the drawings denote like elements.

1 is a flowchart of a space time index method for a driver's maneuver according to an embodiment of the present invention.

Referring to FIG. 1, a space time index method for a driver's motor vehicle according to an embodiment of the present invention includes a step of generating a yaw rate, an accelerator strength, and a yaw rate through at least one of an on- The brake strength, the gear position, the three-axis acceleration sensor value, and the global positioning system (GPS) position (S11).

The data collected can be any data that reflects driver manipulation in the vehicle. Such driver's instrument related data may be collected from an on-board diagnostic device mounted on a vehicle, and transmitted from a vehicle's electronic control device or communication device to a data processing device via a network. Further, depending on the implementation, the driver's instrument related data may be transmitted from the user terminal in cooperation with the on-board diagnostic device mounted on the vehicle to the data processing device via the network.

The data processing apparatus may correspond to a space-time indexing method for a driver's maneuver or a device for executing a driver's evaluation method using the space-time indexing method.

The user terminal may include a vehicle-mounted smart device having functions such as navigation, black box, telematics, and the like. The user terminal is a mobile phone or pad such as a Galaxy series, a G series, an iPhone series, an iPad series, and a blackberry made by Samsung Electronics, LG Electronics, Apple, Oppo, Huawei, And a device having a function of interlocking with the diagnostic device.

The network may include an inter-vehicle network, a vehicle infrastructure network, a wireless network, etc. The inter-vehicle network or vehicle infrastructure network may include a wireless access for vehicle environment (WAVE) Mobile Communication, Enhanced Data GSM Environment (EDGE), Code Division Multiple Access (CDMA), W-Code Division Multiple Access (W-CDMA), Long Term Evolution (LTE), LET- Orthogonal Frequency Division Multiple Access), WiMax, Wi-Fi (Wireless Fidelity), Bluetooth, and the like.

Next, the data processing apparatus converts the data collected by the on-board diagnostic device or the user terminal into a driver's maneuver sequence (S12).

The converted merge-mer sequence may include fields or field contents (such as items) indicating the same position and the same time between subsequent merged mergeur sequences.

The mowerbear is an automobile operation performed by the driver and may include a steering wheel operation (h), an accelerator (a) and a brake (b) operation, a gear (g) operation and the like. Each maverick of the driver can be combined with the GPS position information (l), the vehicle acceleration sensor value (s) and time (t).

A mergeur sequence is a time-ordered arrangement of the driver's munews. Each merge bar of the mergeur sequence may have a combination of position and acceleration sensors. An example of a particular driver's machine sequence is shown in Equation 1 below.

[Formula 1]

(h0, a0, b0, g0, l0, s0, t0), (h1, a1, b1, g1, l1, s1, t1) }

Next, the data processing apparatus indexes the menubar sequence according to the position and time included in the collected data (S13).

The indexed mergeur sequences can be used to search for a subse- quence of a particular subregion at a specific time / location and at a particular time for a particular driver according to a search request.

2 is a flowchart of a driver evaluation method using a space time index for a driver's maneuver according to another embodiment of the present invention.

Referring to FIG. 2, a method of evaluating a driver using a space time index for a driver's motor vehicle according to an embodiment of the present invention includes collecting data from an on-board diagnostic device or a user terminal (S11), converting the collected data into a magnifier sequence (S13) of searching for a specific driver at a specific position and a specific sub-sequence at a specific time according to the search request (S14) ).

In the above steps, some steps S11, S12, and S13 are substantially the same as the steps described above with reference to FIG. 1, so that detailed description thereof will be omitted.

The data processing apparatus receives a search request for a specific driver or vehicle, and after the indexing of the mergeur sequence, searches the specific location / area for the driver and the specific location for the driver according to the search request, Newber subsequence can be searched. A merge-mer subsequence can refer to data in a unit group with a specific location and a specific time included in the merge- mer sequence.

Next, the data processing apparatus can compare the searched driver subsequence with the corresponding driver subsequence of another driver or its average range (S15). The corresponding manubar subsequence may be the mergeber subsequence of another user with the same location and time as the location and time in the retrieved master subsequence.

In the comparison process, the plurality of other user's subsequences corresponding to the searched master subsequence are analyzed through data processing such as arithmetic operation predetermined by the data processing apparatus, and the range, average, deviation, etc. are grasped . In this case, the data processing apparatus can determine whether the data of the retrieved master subsequence is within the average range or the reference range or out of the range by the plurality of other user's subsequences.

Next, the data processing apparatus can classify the driver or the vehicle expressing the abnormal operation pattern based on the comparison result (S16). The classified vehicle or driver information may be provided to a vehicle, a traffic safety facility, a road and a vehicle operation control center as information on statistics, alarms, notices, and notices for safe driving.

According to the above-described embodiment, it is possible to accurately analyze the driver's tendency by analyzing the driver's meridian in the same section. Also, by analyzing the vehicle automatic control maneuver in the same section, it is possible to analyze the performance of the unmanned operation program accurately in the unmanned operation vehicle.

3 is a block diagram of an apparatus (data processing apparatus) for executing a space time index method for a driver maneuver according to another embodiment of the present invention or a driver evaluation method using the space time index method.

3, the data processing apparatus 50 according to the present embodiment may include a communication unit 52, a control unit 54, and a memory 56. [ The data processing device 50 may include a controller or a computing device and may be referred to as a service providing device, a host device, a server device, a spatiotemporal indexing device, an operator evaluation device, and the like.

Further, the data processing apparatus 50 may be connected to a database system 58 having a database. The database can store data, driver sequences, vehicle information, driver information, etc. related to the driver's machine. The data processing device 50 may be connected to the input / output device 60 for inputting and outputting signals and / or data.

Although the database system 58 and the input / output device 60 are shown as being not included in the data processing device 50 in the present embodiment, the present invention is not limited to such a configuration, And an input / output device (60).

The communication unit 52 connects the data processing apparatus to the vehicle on-board diagnostic apparatus or the user terminal via the network. The communication unit 52 can allow connection of the vehicle electronic control device or the user terminal that accesses via the network.

The communication unit 52 may include one or more wired and / or wireless communication subsystems supporting one or more communication protocols. The wired communication subsystem may be a public switched telephone network (PSTN), an asymmetric digital subscriber line (ADSL) or a very high-data rate digital subscriber line (VDSL) network, a subsystem for PES (PSTN Emulation Service) A multimedia subsystem (IMS), and the like. The wireless communication subsystem may include a radio frequency (RF) receiver, an RF transmitter, an RF transceiver, an optical (e.g., infrared) receiver, an optical transmitter, an optical transceiver, or a combination thereof.

The control unit 54 may implement a space time index method for the driver's motor vehicle by executing a software module or a program stored in the internal memory or the memory 56 or may implement a driver evaluation method using the space time index for the driver's motor vehicle . The control unit 54 may be referred to as a processor, for example, and may perform the sequence of procedures shown in FIG. 1 or FIG.

The control unit 54 may be implemented by a processor or a microprocessor including at least one central processing unit (CPU) or a core. The central processing unit or core includes a register for storing instructions to be processed, an arithmetic logical unit (ALU) for performing comparison, determination, and operation, and an arithmetic logic unit A control unit for controlling the control unit, and an internal bus for connecting the control unit and the control unit. The central processing unit or core may be implemented as a system on chip (SOC) in which microcontrol units (MCUs) and peripheral devices (integrated circuits for external expansion devices) are arranged together, but are not limited thereto.

In addition, the control unit 54 may include, but is not limited to, one or more data processors, image processors, or CODECs. The control unit 54 may include a peripheral device interface and a memory interface. The peripheral device interface connects an input / output system such as the control unit 54 and the input / output device 60 or other peripheral devices, and the memory interface can connect the control unit 54 and the memory 56.

The memory 56 may store a software module for implementing a spatiotemporal indexing method for the driver's motor vehicle or for implementing a driver evaluation method using a space-time index for the driver's motor vehicle. The software module may include a module for collecting data from the on-board diagnostic device or the user terminal, a second module for converting the collected data into a mergeur sequence, a third module for indexing the converted mergeur sequence in position and time, A fourth module for retrieving a sub-sequence of the modems at a specific location and at a specific time according to the request, a fifth module for comparing the retrieved sub-sequences of the modems with the corresponding sub- A plurality of other user's subsequences corresponding to the searched main subsequence are analyzed through data processing such as a predetermined arithmetic operation to determine or determine the range, average, and deviation, And a sixth module that classifies the vehicle.

The memory 56 may be a non-volatile random access memory (NVRAM), a semiconductor memory such as a dynamic random access memory (DRAM) which is a typical volatile memory, a hard disk drive (HDD) Device, a flash memory, or the like. The memory 56 may store an operating system, a program, an instruction set, and the like in addition to software modules for implementing a space time index method for a driver's motor vehicle or for implementing a driver evaluation method using a space time index for a driver's motor vehicle.

In the above embodiments, the components of the data processing apparatus implementing the space time index method for the driver's motor vehicle or implementing the driver evaluation method using the space time index for the driver's motor vehicle are based on nonvolatile memory (NVRAM) Lt; / RTI > may be implemented as a functional block or module mounted on a variety of computing devices.

For example, software modules executed in the data processing apparatus of FIG. 3 may be stored in a computer-readable medium (recording medium) in the form of software for implementing a series of functions performed by them, or may be stored in a storage device To a specific computing device connected to the server device via a network. The computer readable medium may include a plurality of computer devices or a cloud system memory or storage device connected via a network, and at least one or more of the plurality of computer devices and the cloud system may be a time- It is possible to implement an indexing method or to store a program or source code for implementing a driver evaluation method using a space-time index for a driver's machine.

The computer-readable medium may also be embodied in a form of program instructions, data files, data structures, etc., alone or in combination. Programs recorded on a computer-readable medium may include those specifically designed and constructed for the present invention or those known and available to those skilled in the computer software arts.

The computer-readable medium can also include a hardware device specifically configured to store and execute program instructions, such as a ROM, a RAM, a flash memory, and the like. The program instructions may include machine language code such as those generated by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like. The hardware device may be configured to operate with at least one software module to operate the data processing device of the present embodiment, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. It will be understood that the invention may be varied and changed without departing from the scope of the invention.

Claims (4)

Data on the yaw rate, accelerator strength, brake strength, gear position, three-axis acceleration sensor value, and GPS (global positioning system) position through at least one interface of an on-board diagnostic device and a user terminal installed in the vehicle ;
Converting the collected data into a driver's maneuver sequence; And
And indexing the magnifier sequence according to position and time.
Spatio - temporal indexing method for driver 's motor vehicle. A driver evaluation method using a space-time index for a driver's maneuver,
Data on the yaw rate, accelerator strength, brake strength, gear position, three-axis acceleration sensor value, and GPS (global positioning system) position through at least one interface of an on-board diagnostic device and a user terminal installed in the vehicle ;
Converting the collected data into a driver's maneuver sequence;
Indexing the mergeur sequence according to location and time; And
And searching for a subsequence of a submenu at a specific location and at a specific time for a particular driver according to a search request. The method of claim 2,
Further comprising, after said searching, comparing said searched driver subsequence to a corresponding driver subsequence of another driver or its average range. Claim 3
Further comprising the step of classifying the driver of the abnormal operation pattern based on the comparison result after the comparing step.

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