WO2018174628A1

WO2018174628A1 - Spatio-temporal indexing method for driver maneuvers and driver evaluation method using same

Info

Publication number: WO2018174628A1
Application number: PCT/KR2018/003418
Authority: WO
Inventors: 송석일; 문철
Original assignee: 송석일; 문철
Priority date: 2017-03-24
Filing date: 2018-03-23
Publication date: 2018-09-27
Also published as: KR20180108319A; KR102238463B1

Abstract

Disclosed are a spatio-temporal indexing method for driver maneuvers and a driver evaluation method using the same. The spatio-temporal indexing method for driver maneuvers comprises the steps of: collecting data on a yaw rate, an accelerator strength, a brake strength, a gear position, a three-axis acceleration sensor value, and a GPS position through an interface of at least one from among a user terminal and an on-board diagnostic device installed in a vehicle; converting the collected data into a driver maneuver sequence; and indexing the maneuver sequence according to location and time.

Description

Spatio-temporal indexing method for driver menu 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 indexing method for a driver maneuver (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, the driver factor is known as a major cause of traffic accidents.

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

Many efforts have been made to reduce accidents by improving the geometry of road factors or installing safety facilities, but the effects of reducing traffic accidents are substantially insignificant. As such, there is a demand for a method for reducing driver factors, which is a major cause of traffic accidents.

The present invention is derived to solve the above-mentioned problems of the prior art, and can analyze the driver maneuver (maneuver) in the same section to accurately distinguish the driver's disposition, spatio-temporal indexing method for the driver maneuver and using the same The purpose is to provide a driver evaluation method.

Another object of the present invention is to provide a spatiotemporal indexing method for a driver menu capable of classifying a driver having an abnormal driving pattern and a driver evaluation method using the same.

In order to solve the above technical problem, the spatiotemporal indexing method for a driver maneuver according to an aspect of the present invention includes a yaw rate through at least one interface between an onboard diagnostic apparatus and a user terminal installed in a vehicle. Collecting data on accelerator strength, brake strength, gear position, 3-axis acceleration sensor value, global positioning system (GPS) position; Converting the collected data into a driver's maneuver sequence; And indexing the manufacturer sequence according to location and time.

The driver evaluation method according to another aspect of the present invention for solving the above technical problem is a driver evaluation method using a space-time indexing method for a driver maneuver, the interface of at least one of the on-board diagnostic device and the user terminal installed in the vehicle Collecting data about yaw rate, accelerator strength, brake strength, gear position, three-axis acceleration sensor value, and global positioning system (GPS) position through; Converting the collected data into a driver's maneuver sequence; Indexing the manufacturer sequence according to location and time; And retrieving a manufacturer subsequence at a specific location and at a specific time for the particular driver in accordance with the search request.

In case of using the space-time indexing method and the driver evaluation method using the same according to the present invention, the driver's propensity is accurately analyzed by analyzing the driver's menu in the same section indexed at a specific location and a specific time. Can be distinguished.

In addition, it is possible to classify drivers who exhibit abnormal driving patterns such as drowsy driving and drunken driving, which can be used for alarms, notifications, notifications, etc. to user terminals, traffic safety facilities (such as electric signs), and vehicle-mounted alarm devices. Information, that is, information about a driver or a vehicle having an abnormal driving pattern may be provided to the corresponding driver or nearby drivers to induce safe driving and provide a safe driving environment.

1 is a flowchart of a space-time indexing method for a driver 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 maneuver according to another embodiment of the present invention.

FIG. 3 is a block diagram of an apparatus for executing a space-time indexing method or a driver evaluation method using the same according to another embodiment of the present invention.

In describing the present invention, when it is determined that the detailed description of the related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. Even if the terms are the same, if the displayed portions are different, it is to be noted that the reference numerals do not match.

The terms to be described below are terms set in consideration of functions in the present invention, and may be changed according to the intention or custom of an operator such as an experimenter and a measurer, and the definitions thereof should be made based on the contents throughout the present specification.

In this specification, terms such as first and second may be used to describe various components, but the components 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 the second component, and similarly, the second component may also be referred to as the first component. The term and / or includes a combination of a plurality of related items or any item of a plurality of related items.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. A singular expression includes a plural expression unless the context clearly indicates 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. Terms such as those defined in the commonly used dictionaries should be construed as having meanings consistent with the meanings in the context of the related art, and shall not be construed in ideal or excessively formal meanings unless expressly defined in this application. Do not.

In addition, when a part is said to "include" a certain component, this means that it may further include other components, except to exclude other components unless otherwise stated.

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

Referring to FIG. 1, a space-time indexing method for a driver maneuver according to an embodiment of the present invention may include a yaw rate, an accelerator strength, an intensity of an accelerator through at least one interface of an onboard diagnostic apparatus and a user terminal installed in a vehicle. Data on brake strength, gear position, 3-axis acceleration sensor value, and global positioning system (GPS) position are collected (S11).

The data collected can be any data that reflects driver manipulation in the vehicle. Such driver manual-related data may be collected by an onboard diagnostic apparatus mounted on a vehicle, and transmitted from an electronic control apparatus or a communication apparatus of the vehicle to a data processing apparatus through a network. In addition, according to the implementation, the driver menu-related data may be transmitted to the data processing apparatus through a network from a user terminal interworking with the onboard diagnostic apparatus mounted on the vehicle.

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

The user terminal may include an on-vehicle smart device having functions such as navigation, a black box, telematics, and the like. In addition, the user terminal is a mobile phone or pad such as a Galaxy series, G series, iPhone series, iPad series, BlackBerry, etc. made by companies such as Samsung Electronics, LG Electronics, Apple, Oppo, Huawei, Vivo, Xiaomi, etc. It may include a device having a function of interlocking with the diagnostic device.

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

Next, the data processing apparatus converts the data collected by the onboard diagnostic apparatus or the user terminal into a driver sequence of the driver (S12).

The converted sequence may include a field or a field content (item, etc.) indicating the same position and the same time between the subsequently classified sequences.

The manuver means a vehicle operation performed by a driver, and may include a steering wheel operation h, an accelerator a and brake b operations, a gear g operation, and the like. Each driver's driver can be combined with GPS location information l, the vehicle's acceleration sensor value s and time t.

The maneuver sequence refers to a list of driver's maneuvers over time, and each mannuber of the maneuver sequence may have a position and an acceleration sensor coupled thereto. An example of a driver sequence of a specific driver is shown in Equation 1 below.

[Equation 1]

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

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

The indexed manufacturer sequence may be used to search for a manufacturer subsequence at a particular area / location and at a particular time for a particular driver in accordance with a search request.

Referring to FIG. 2, in the driver evaluation method using a spatiotemporal index for a driver maneuver according to the present embodiment, collecting data from an onboard diagnosis apparatus or a user terminal (S11), and converting the collected data into a maneuver sequence. (S12), indexing the converted operator sequence according to position and time (S13), and retrieving a manufacturer subsequence at a specific position and a specific time for a specific driver according to a search request (S14). ) May be included.

Some of the steps S11, S12, and S13 in the above steps are substantially the same as the steps described above with reference to FIG. 1, and thus detailed descriptions thereof will be omitted.

The data processing apparatus receives a search request for a specific driver or a vehicle, and after indexing of the manufacturer sequence, as in step S14, according to the search request, the data processing device receives a search request for the specific driver / vehicle at a specific time / region. Newber subsequences can be retrieved. The manufacturer subsequence may refer to data of a unit group having a specific location and a specific time included in the manufacturer sequence.

Next, the data processing apparatus may compare the retrieved Nuven subsequence with a corresponding Nuven sub-sequence of another driver or its average range (S15). The corresponding manufacturer subsequence may be another user's manufacturer's subsequence having the same location and time as the location and time in the retrieved manufacturer subsequence.

In the comparison process, the user subsequences of a plurality of other users corresponding to the searched subsequences are analyzed through data processing such as arithmetic operations, which are preset by the data processing apparatus, to determine their ranges, averages, and deviations. Can be. In this case, the data processing apparatus may determine whether the data of the retrieved sub-sequence is within or outside the average range or the reference range by the sub-sequences of the plurality of different users.

Next, the data processing apparatus may classify the driver or vehicle showing the abnormal driving pattern based on the comparison result (S16). The classified vehicle or driver information may be provided to vehicles, traffic safety facilities, roads, and vehicle driving control centers as information on statistics, alarms, notices, notifications, and the like for safe driving.

According to the above embodiment, the driver's propensity may be accurately analyzed by analyzing the driver's driver in the same section. In addition, by analyzing the automatic vehicle control vehicle in the same section it is possible to accurately analyze the performance of the unmanned driving program in the unmanned driving vehicle.

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

Referring to FIG. 3, the data processing device 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 space-time indexing device, a driver evaluation device, or the like.

The data processing device 50 may also be connected to a database system 58 having a database. The database may store data related to the driver's menu, a manufacturer's sequence, vehicle information, driver information, and the like. The data processing device 50 may be connected to an 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 in a form not included in the data processing device 50 in the present embodiment, the present invention is not limited to such a configuration, and the database system 58 may be implemented according to implementation. And it may be configured to include at least one or more of the input and output device 60.

The communication unit 52 connects the data processing apparatus with the vehicle onboard diagnosis apparatus or the user terminal through a network. The communication unit 52 may allow connection of the vehicle electronic control apparatus or the user terminal to access through the network.

The communication unit 52 may include one or more wired and / or wireless communication subsystems that support one or more communication protocols. Wired communication subsystems include public switched telephone networks (PSTN), Asymmetric Digital Subscriber Line (ADSL) or Very High-data Rate Digital Subscriber Line (VDSL) networks, subsystems for PSTN Emulation Service (PES), and Internet Protocol (IP). 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 (eg, infrared) receiver, an optical transmitter, an optical transceiver, or a combination thereof.

The controller 54 may implement a spatiotemporal indexing method for the driver maneuver by executing a software module or program stored in the internal memory or the memory 56, or implement a driver evaluation method using the spatiotemporal indexing for the driver maneuver. . The controller 54 may be referred to as a processor, for example, and may perform a series of procedures shown in FIG. 1 or 2.

The controller 54 may be implemented as a processor or microprocessor including at least one central processing unit (CPU) or a core. The central processing unit or core is a register that stores the instructions to be processed, an arithmetic logical unit (ALU) that is responsible for comparison, determination, and operation, and the CPU internally to interpret and execute the instructions. It may be provided with a control unit (control unit) for controlling, and an internal bus connecting them. The CPU or core may be implemented as a system on chip (SOC) in which a micro control unit (MCU) and a peripheral device (an integrated circuit for an external expansion device) are arranged together, but is not limited thereto.

In addition, the controller 54 may include one or more data processors, an image processor, or a codec, but is not limited thereto. The controller 54 may include a peripheral device interface and a memory interface. The peripheral interface may connect an input / output system such as the controller 54 and the input / output device 60 or another peripheral device, and the memory interface may connect the controller 54 and the memory 56.

The memory 56 may store a software module for implementing the spatiotemporal indexing method for the driver manu- ber, or for implementing the driver evaluation method using the spatiotemporal indexing for the driver's manuver. The software module may include a first module for collecting data from an onboard diagnostic apparatus or a user terminal, a second module for converting the collected data into a human sequence, a third module for indexing the converted human sequence according to position and time, and a search. A fourth module for retrieving the Manuver subsequence at a specific location and at a specific time for a particular driver, a fifth module for comparing the retrieved Manuver subsequence with a corresponding Manuver subsequence of another driver or its average range, Analyzing the sub-sequences of a plurality of different users corresponding to the retrieved sub-sequences through data processing such as pre-set arithmetic operations to determine or determine the range, average, deviation, and the like, thereby driving the driver of the abnormal driving pattern. B may include a sixth module for classifying a vehicle, but is not limited thereto.

The above-described memory 56 includes a nonvolatile memory (NRAM), a semiconductor memory such as dynamic random access memory (DRAM), which is a typical volatile memory, a hard disk drive (HDD), and optical storage. It may be implemented as a device, a flash memory, or the like. The memory 56 may store an operating system, a program, a command set, etc., in addition to software modules for implementing a space-time indexing method for the driver's driver or a driver evaluation method using a space-time index for the driver's menu.

Meanwhile, in the above-described embodiment, the components of the data processing apparatus implementing the spatiotemporal indexing method for the driver's driver or implementing the driver evaluation method using the spatiotemporal indexing for the driver's driver are based on non-volatile memory (NVRAM). It may be implemented as a functional block or a module mounted in various computing devices of the.

For example, a software module executed in the data processing apparatus of FIG. 3 is stored in a computer readable medium (recording medium) in software form to implement a series of functions that they perform, or stored in a remote server device in a carrier form. Can be implemented to be transmitted and operated from a server device to a particular computing device connected via a network. Here, the computer-readable medium may include a memory or a storage device of a plurality of computer devices or cloud systems connected through a network, and at least one of the plurality of computer devices or cloud systems is a space-time for the driver's driver of the present embodiment. A program or source code may be stored to implement the indexing method or to implement the driver evaluation method using the spatiotemporal indexing on the driver's menu.

In addition, the computer readable medium may be embodied in the form of a single or combination of program instructions, data files, data structures, and the like. The programs recorded on the computer readable medium may be those specially designed and configured for the present invention, or may include those known and available to those skilled in computer software.

In addition, the computer readable medium may 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 high-level language code that can be executed by a computer using an interpreter as well as machine code such as produced by a compiler. 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 preferred embodiments of the present invention have been described above, those skilled in the art will appreciate that the present invention may be modified in various ways without departing from the spirit and scope of the invention as set forth in the claims below. It will be appreciated that modifications and variations are possible.

Claims

Data on yaw rate, accelerator strength, brake strength, gear position, 3-axis acceleration sensor value and global positioning system (GPS) position via at least one interface of the onboard diagnostic device and the user terminal installed in the vehicle Collecting the;

Converting the collected data into a driver's maneuver sequence; And

Indexing the manufacturer sequence according to location and time;

Spatio-temporal indexing method for driver menu.
As a driver evaluation method using the spatiotemporal index for the driver maneuver,

Data on yaw rate, accelerator strength, brake strength, gear position, 3-axis acceleration sensor value and global positioning system (GPS) position via at least one interface of the onboard diagnostic device and the user terminal installed in the vehicle Collecting the;

Converting the collected data into a driver's maneuver sequence;

Indexing the manufacturer sequence according to location and time; And

Retrieving a manufacturer subsequence at a particular location and at a specific time for a particular driver in accordance with a search request.
The method according to claim 2,

After the retrieving, further comprising comparing the retrieved manufacturer subsequence with a corresponding driver subsequence of another driver or its average range.
The method according to claim 3

And after the comparing, classifying the driver of the abnormal driving pattern based on the comparison result.