WO2019205014A1 - 驾驶行为分析方法及驾驶行为分析装置 - Google Patents

驾驶行为分析方法及驾驶行为分析装置 Download PDF

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Publication number
WO2019205014A1
WO2019205014A1 PCT/CN2018/084424 CN2018084424W WO2019205014A1 WO 2019205014 A1 WO2019205014 A1 WO 2019205014A1 CN 2018084424 W CN2018084424 W CN 2018084424W WO 2019205014 A1 WO2019205014 A1 WO 2019205014A1
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WO
WIPO (PCT)
Prior art keywords
vehicle
user
driving behavior
behavior analysis
driving
Prior art date
Application number
PCT/CN2018/084424
Other languages
English (en)
French (fr)
Inventor
刘均
刘新
金武超
Original Assignee
深圳市元征软件开发有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市元征软件开发有限公司 filed Critical 深圳市元征软件开发有限公司
Priority to CN201880000338.3A priority Critical patent/CN108701229B/zh
Priority to PCT/CN2018/084424 priority patent/WO2019205014A1/zh
Publication of WO2019205014A1 publication Critical patent/WO2019205014A1/zh

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/013—Eye tracking input arrangements
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
    • G07C5/0825—Indicating performance data, e.g. occurrence of a malfunction using optical means
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data

Definitions

  • the present application belongs to the technical field of vehicles, and in particular, to a driving behavior analysis method, a driving behavior analysis device, and a computer readable storage medium.
  • a first aspect of the embodiments of the present application provides a driving behavior analysis method, where the driving behavior analysis method includes:
  • the prompt information is sent to the user.
  • the driving behavior analysis method when the current driving data of the vehicle is acquired, the driving behavior analysis method further includes:
  • the number of times the user views the vehicle digital meter is recorded.
  • the determining, according to the driving data, whether the driving behavior of the user is abnormal includes:
  • N is an integer greater than zero
  • the extracted N sets of driving data are analyzed, and based on the analysis result, it is determined whether the driving behavior of the user is abnormal.
  • the method before acquiring the current driving data of the vehicle, the method further includes:
  • the sending the prompt information to the user includes:
  • the prompt information is displayed on the vehicle digital meter.
  • a second aspect of the embodiments of the present application provides a driving behavior analysis apparatus, where the driving behavior analysis apparatus includes:
  • a data acquisition module configured to acquire current driving data of the vehicle when detecting that the user views the digital instrument of the vehicle
  • An abnormality determining module configured to determine, according to the driving data, whether the driving behavior of the user is abnormal
  • the information sending module is configured to send the prompt information to the user if the driving behavior of the user is abnormal.
  • the driving behavior analysis apparatus further includes:
  • the number recording module is configured to record the number of times the user views the digital meter of the vehicle.
  • the abnormality determining module includes:
  • a determining unit configured to determine whether the number N of times the user views the digital meter of the vehicle exceeds a preset threshold in a preset time or a preset road segment, where N is an integer greater than zero;
  • the extracting unit is configured to: if the preset threshold is exceeded, extract the driving data respectively obtained when the user views the digital instrument of the vehicle N times;
  • the analyzing unit is configured to analyze the extracted N sets of driving data, and determine, according to the analysis result, whether the driving behavior of the user is abnormal.
  • the driving behavior analysis apparatus further includes:
  • a rotation speed detecting module configured to detect whether the rotation speed of the vehicle is zero
  • a function starting module configured to activate an image recognition function of the digital instrument of the vehicle if the rotation speed of the vehicle is not zero
  • a gaze detection module configured to detect, by an image recognition function of the digital instrument of the vehicle, whether the gaze of the user is focused on the digital instrument of the vehicle;
  • the behavior determining module is configured to determine that the user views the vehicle digital meter if it is detected that the user's gaze is focused on the vehicle digital meter.
  • the information sending module is specifically configured to:
  • the prompt information is displayed on the vehicle digital meter.
  • a third aspect of embodiments of the present application provides a driving behavior analysis apparatus including a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor executing the computer
  • the steps of the driving behavior analysis method as described in the first aspect above and its possible implementations are implemented at the time of the program.
  • a fourth aspect of an embodiment of the present application provides a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the first aspect and its possible implementation as described above The steps of the driving behavior analysis method described in the manner.
  • the present application When detecting that the user views the digital instrument of the vehicle, the present application acquires the current driving data of the vehicle, and analyzes the driving data to determine whether the driving behavior of the user is abnormal, and sends a prompt to the user when the driving behavior of the user is abnormal. Information to remind users to correct bad driving behavior.
  • the solution of the present application captures the driving data of the vehicle in time according to the behavior of the user viewing the digital meter of the vehicle, and analyzes the driving data in real time, so as to prompt the user to correct the bad driving behavior, and does not need to upload the driving data to the server, thereby simplifying the driving behavior.
  • the analysis process improves the efficiency and accuracy of analyzing driving behavior.
  • FIG. 1 is a schematic flowchart of an implementation process of a driving behavior analysis method according to Embodiment 1 of the present application;
  • FIG. 2 is a schematic diagram showing an implementation flow of a driving behavior analysis method according to Embodiment 2 of the present application;
  • FIG. 3 is a schematic diagram of a driving behavior analysis apparatus provided in Embodiment 3 of the present application.
  • FIG. 4 is a schematic diagram of a driving behavior analysis apparatus provided in Embodiment 4 of the present application.
  • the term “if” can be interpreted as “when” or “on” or “in response to determining” or “in response to detecting” depending on the context. .
  • the phrase “if determined” or “if detected [condition or event described]” may be interpreted in context to mean “once determined” or “in response to determining” or “once detected [condition or event described] ] or “in response to detecting [conditions or events described]”.
  • the size of the serial number of each step in the embodiment does not mean that the order of execution is performed, and the order of execution of each process should be determined by its function and internal logic, and should not be limited to the implementation process of the embodiment of the present application.
  • the driving behavior analysis method may include the following steps:
  • Step S101 When it is detected that the user views the digital instrument of the vehicle, the current driving data of the vehicle is acquired.
  • the behavior of the user viewing the digital meter of the vehicle may be detected by the digital meter (ie, the vehicle digital meter) on the vehicle, and the current driving data of the vehicle when the user views the digital meter of the vehicle is acquired in time, and the driving data is stored.
  • the driving data may refer to data capable of determining whether the driving behavior of the user is abnormal, including but not limited to driving time, vehicle speed information, turning angle information, acceleration information, turn signal switch information, brake information, and throttle information.
  • the driving time may refer to a time when the user starts counting from the driving vehicle to the current time (ie, detecting the time when the user views the digital meter of the vehicle).
  • the embodiment of the present application further includes:
  • the number of times the user views the vehicle digital meter is recorded.
  • the number of times the user views the digital instrument of the vehicle may be simultaneously recorded.
  • the recording the number of times the user views the digital meter of the vehicle may refer to that the number of times the user views the digital meter of the vehicle is at an original value (ie, the user views the digital meter of the vehicle before the user views the digital meter of the vehicle.
  • the number of times is increased by 1.
  • the initial value of the number of times the user views the digital meter of the vehicle can be set to zero.
  • the number of times the user views the digital meter of the vehicle is increased by one.
  • the number of times is increased by 1.
  • Step S102 determining whether the driving behavior of the user is abnormal according to the driving data.
  • the driving data may be analyzed in real time to determine whether the driving behavior of the user is abnormal. For example, by analyzing the vehicle speed information and the acceleration information in the travel data, it is determined whether the user has a sudden acceleration and an abrupt deceleration behavior.
  • determining, according to the driving data, whether the driving behavior of the user is abnormal includes:
  • N is an integer greater than zero
  • the extracted N sets of driving data are analyzed, and based on the analysis result, it is determined whether the driving behavior of the user is abnormal.
  • multiple travel data of the user in the preset time or the preset road segment may be acquired, and the comprehensive analysis of the multiple driving data is performed, thereby being more accurate. Determine whether the user's driving behavior is abnormal.
  • the stored travel can be performed.
  • the data is extracted from the data obtained by the user when viewing the vehicle digital meter N times. (If the driving data obtained when the user views the vehicle digital meter once is recorded as a group of driving data, the user views the N times.
  • the vehicle digital meter corresponds to the N group driving data), that is, the preset time is extracted from the stored driving data or the N groups of driving data corresponding to the vehicle digital meter are viewed by the user in the preset road segment, and the N group driving data is analyzed. Thereby determining whether the driving behavior of the user is abnormal. For example, by analyzing six sets of driving data, it is detected that there are five sudden accelerations, which exceeds the rapid acceleration threshold (for example, three times), and the user can be reminded that there is an abrupt acceleration behavior, that is, the user's driving behavior is abnormal. If the number of times N of the user viewing the digital meter of the vehicle does not exceed the preset threshold, the process may be ended.
  • Step S103 if the driving behavior of the user is abnormal, sending the prompt information to the user.
  • the sending the prompt information to the user includes:
  • the prompt information is displayed on the vehicle digital meter.
  • the user may be promptly reminded, and the prompt information is displayed on the digital meter of the vehicle, so as to be used for correcting bad driving behavior in time.
  • the prompt information may refer to information that prompts the user to be abnormal in driving behavior, for example, displaying “the user has a rapid acceleration behavior” on the digital meter of the vehicle.
  • the embodiment of the present application captures the driving data of the vehicle in time according to the behavior of the user viewing the digital instrument of the vehicle, and analyzes the driving data in real time, so as to prompt the user to correct the bad driving behavior, and does not need to upload the driving data to the server, thereby simplifying driving.
  • the behavioral analysis process improves the efficiency and accuracy of analyzing driving behavior.
  • FIG. 2 is a schematic diagram of an implementation process of a driving behavior analysis method according to Embodiment 2 of the present application.
  • the driving behavior analysis method may include the following steps:
  • step S201 it is detected whether the rotational speed of the vehicle is zero.
  • Step S202 if the rotational speed of the vehicle is not zero, the image recognition function of the digital instrument of the vehicle is started.
  • the rotational speed of the vehicle is acquired, and detecting whether the rotational speed of the vehicle is zero, and if the rotational speed of the vehicle is zero, determining the The vehicle is in a parking state, at which time the vehicle does not travel, and there is no need to detect the driving behavior of the user. If the speed of the vehicle is not zero, it is determined that the vehicle is in an idle state or a driving state, and the vehicle digital meter can be activated at this time.
  • Image recognition function ie, the image recognition function is built into the vehicle digital meter). Wherein, the image recognition function may refer to a function of identifying whether the user's gaze is focused on the vehicle digital meter.
  • the rotational speed of the vehicle is the rotational speed of the vehicle engine, and can be passed through a vehicle electronic control unit (Electronic) The Control Unit, ECU) acquires the rotational speed of the vehicle engine. If it is detected that the engine speed of the vehicle is zero, it may be determined that the vehicle is in a parking state; if it is detected that the engine speed of the vehicle is not zero and the vehicle engine is idling (ie, the vehicle engine has a speed but the vehicle If the vehicle has no speed, it can be determined that the vehicle is in an idle state; if the engine speed of the vehicle is not zero and the vehicle engine rotates normally (ie, the vehicle engine has a speed and the vehicle has a speed), then It can be determined that the vehicle is in a running state.
  • a vehicle electronic control unit Electronic
  • the Control Unit ECU
  • Step S203 detecting, by the image recognition function of the vehicle digital meter, whether the user's gaze is focused on the vehicle digital meter.
  • a camera device is installed in the vehicle digital meter, and an image in a preset range of the vehicle digital meter is acquired by the camera device to detect whether there is a human eye in the image, and if there is a human eye and the eyeball is focused on the vehicle number
  • the meter determines that the user's gaze is focused on the vehicle digital meter; if there is a human eye and the eyeball's gaze is not focused on the vehicle digital meter, or there is no human eye, it is determined that the user's gaze is not focused on the vehicle digital meter.
  • Step S204 if it is detected that the user's gaze is focused on the vehicle digital meter, it is determined that the user views the vehicle digital meter.
  • Step S205 acquiring current driving data of the vehicle.
  • Step S206 determining whether the driving behavior of the user is abnormal according to the driving data.
  • step S102 This step is the same as the step S102.
  • steps S102 For details, refer to the related description of step S102, and details are not described herein again.
  • Step S207 if the driving behavior of the user is abnormal, sending the prompt information to the user.
  • step S103 This step is the same as the step S103.
  • steps S103 For details, refer to the related description of step S103, and details are not described herein again.
  • the embodiment of the present application detects whether the vehicle speed of the vehicle is zero, and when the vehicle speed is not zero, starts an image recognition function of the vehicle digital meter, and uses the image recognition function to detect whether the user is viewing the vehicle.
  • a digital meter that quickly detects the user's behavior in viewing the vehicle's digital meter.
  • FIG. 3 is a schematic diagram of a driving behavior analysis apparatus according to Embodiment 3 of the present application. For convenience of description, only parts related to the embodiments of the present application are shown.
  • the driving behavior analysis device includes:
  • the data acquisition module 31 is configured to acquire current driving data of the vehicle when detecting that the user views the digital instrument of the vehicle;
  • the abnormality determining module 32 is configured to determine, according to the driving data, whether the driving behavior of the user is abnormal;
  • the information sending module 33 is configured to send the prompt information to the user if the driving behavior of the user is abnormal.
  • the driving behavior analysis device further includes:
  • the number recording module 34 is configured to record the number of times the user views the digital meter of the vehicle.
  • the abnormality determining module 32 includes:
  • a determining unit configured to determine whether the number N of times the user views the digital meter of the vehicle exceeds a preset threshold in a preset time or a preset road segment, where N is an integer greater than zero;
  • the extracting unit is configured to: if the preset threshold is exceeded, extract the driving data respectively obtained when the user views the digital instrument of the vehicle N times;
  • the analyzing unit is configured to analyze the extracted N sets of driving data, and determine, according to the analysis result, whether the driving behavior of the user is abnormal.
  • the driving behavior analysis device further includes:
  • a rotation speed detecting module 35 configured to detect whether the rotation speed of the vehicle is zero
  • the function starting module 36 is configured to activate an image recognition function of the digital instrument of the vehicle if the rotation speed of the vehicle is not zero;
  • the eye detection module 37 is configured to detect, by the image recognition function of the vehicle digital meter, whether the gaze of the user is focused on the digital instrument of the vehicle;
  • the behavior determining module 38 is configured to determine that the user views the vehicle digital meter if it is detected that the user's gaze is focused on the vehicle digital meter.
  • the information sending module 33 is specifically configured to:
  • the prompt information is displayed on the vehicle digital meter.
  • the driving behavior analysis apparatus provided in the embodiment of the present application can be applied to the foregoing method embodiment 1 and the second embodiment.
  • the driving behavior analysis apparatus provided in the embodiment of the present application can be applied to the foregoing method embodiment 1 and the second embodiment.
  • the driving behavior analysis apparatus 4 of this embodiment includes a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and operable on the processor 40.
  • the processor 40 executes the computer program 42, the steps in the embodiments of the above various driving behavior analysis methods are implemented, for example, steps S101 to S103 shown in FIG.
  • the processor 40 when executing the computer program 42, implements the functions of the modules/units in the various apparatus embodiments described above, such as the functions of the modules 31-38 shown in FIG.
  • the computer program 42 can be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to complete This application.
  • the one or more modules/units may be a series of computer program instruction segments capable of performing a particular function, the instruction segments being used to describe the execution of the computer program 42 in the driving behavior analysis device 4.
  • the computer program 42 can be divided into a data acquisition module, an abnormality determination module, an information transmission module, a number recording module, a rotation speed detection module, a function startup module, a gaze detection module, and a behavior determination module.
  • the specific functions of each module are as follows:
  • a data acquisition module configured to acquire current driving data of the vehicle when detecting that the user views the digital instrument of the vehicle
  • An abnormality determining module configured to determine, according to the driving data, whether the driving behavior of the user is abnormal
  • the information sending module is configured to send the prompt information to the user if the driving behavior of the user is abnormal.
  • the number recording module is configured to record the number of times the user views the digital meter of the vehicle.
  • the abnormality determining module includes:
  • a determining unit configured to determine whether the number N of times the user views the digital meter of the vehicle exceeds a preset threshold in a preset time or a preset road segment, where N is an integer greater than zero;
  • the extracting unit is configured to: if the preset threshold is exceeded, extract the driving data respectively obtained when the user views the digital instrument of the vehicle N times;
  • the analyzing unit is configured to analyze the extracted N sets of driving data, and determine, according to the analysis result, whether the driving behavior of the user is abnormal.
  • a rotation speed detecting module configured to detect whether the rotation speed of the vehicle is zero
  • a function starting module configured to activate an image recognition function of the digital instrument of the vehicle if the rotation speed of the vehicle is not zero
  • a gaze detection module configured to detect, by an image recognition function of the digital instrument of the vehicle, whether the gaze of the user is focused on the digital instrument of the vehicle;
  • the behavior determining module is configured to determine that the user views the vehicle digital meter if it is detected that the user's gaze is focused on the vehicle digital meter.
  • the information sending module is specifically configured to:
  • the prompt information is displayed on the vehicle digital meter.
  • the driving behavior analysis device 4 may include, but is not limited to, the processor 40 and the memory 41. It will be understood by those skilled in the art that FIG. 4 is merely an example of the driving behavior analysis device 4, and does not constitute a limitation on the driving behavior analysis device 4, and may include more or less components than those illustrated, or may combine some components. Alternatively, different components, such as the driving behavior analysis device, may also include input and output devices, network access devices, buses, and the like.
  • the processor 40 may be a central processing unit (Central) Processing Unit (CPU), which can also be other general-purpose processors, digital signal processors (DSPs), and application specific integrated circuits (Application). Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.
  • the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
  • the memory 41 may be an internal storage unit of the driving behavior analysis device 4, such as a hard disk or a memory of the driving behavior analysis device 4.
  • the memory 41 may also be an external storage device of the driving behavior analysis device 4, such as a plug-in hard disk equipped with the driving behavior analysis device 4, a smart memory card (SMC), and a secure digital (Secure) Digital, SD) card, flash card (Flash Card) and so on.
  • the memory 41 may also include both an internal storage unit of the driving behavior analysis device 4 and an external storage device.
  • the memory 41 is used to store the computer program and other programs and data required by the driving behavior analysis device.
  • the memory 41 can also be used to temporarily store data that has been output or is about to be output.
  • each functional unit and module described above is exemplified. In practical applications, the above functions may be assigned to different functional units as needed.
  • the module is completed by dividing the internal structure of the device into different functional units or modules to perform all or part of the functions described above.
  • Each functional unit and module in the embodiment may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit, and the integrated unit may be hardware.
  • Formal implementation can also be implemented in the form of software functional units.
  • the specific names of the respective functional units and modules are only for the purpose of facilitating mutual differentiation, and are not intended to limit the scope of protection of the present application.
  • For the specific working process of the unit and the module in the foregoing system reference may be made to the corresponding process in the foregoing method embodiment, and details are not described herein again.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the modules or units is only a logical function division.
  • there may be another division manner for example, multiple units or components may be used. Combinations can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated modules/units if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the processes in the foregoing embodiments, and may also be completed by a computer program to instruct related hardware.
  • the computer program may be stored in a computer readable storage medium. The steps of the various method embodiments described above may be implemented when the program is executed by the processor.
  • the computer program comprises computer program code, which may be in the form of source code, object code form, executable file or some intermediate form.
  • the computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard drive, a magnetic disk, an optical disk, a computer memory, a read only memory (ROM, Read-Only) Memory), random access memory (RAM, Random) Access Memory), electrical carrier signals, telecommunications signals, and software distribution media.
  • ROM Read Only memory
  • RAM Random Access Memory

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Abstract

一种驾驶行为分析方法、驾驶行为分析装置及计算机可读存储介质，驾驶行为分析方法包括：当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据；根据行驶数据，判断用户的驾驶行为是否异常；若用户的驾驶行为异常，则向用户发送提示信息。可解决现有技术中驾驶行为分析过程较为繁琐，准确性较低的问题。

Description

驾驶行为分析方法及驾驶行为分析装置 技术领域
本申请属于车辆技术领域，尤其涉及驾驶行为分析方法、驾驶行为分析装置及计算机可读存储介质。
 背景技术
随着人们生活水平的提高，汽车已经成为人们出行的主要交通工具之一，与此同时，也伴随着不良驾驶行为的出现，用户的不良驾驶行为容易导致交通事故的发生。现有技术通常是采集车辆的数据，将该数据上传至服务器进行用户驾驶行为的分析，分析过程较为繁琐，准确性较低。
故，有必要提出一种新的技术方案，以解决上述技术问题。
 技术问题
现有技术中驾驶行为分析过程较为繁琐，准确性较低的问题。
 技术解决方案
本申请实施例的第一方面提供了一种驾驶行为分析方法，所述驾驶行为分析方法包括：
当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据；
根据所述行驶数据，判断所述用户的驾驶行为是否异常；
若所述用户的驾驶行为异常，则向所述用户发送提示信息。
基于本申请实施例的第一方面，在第一种可能的实现方式中，在获取车辆当前的行驶数据时，所述驾驶行为分析方法还包括：
记录所述用户查看所述车辆数字仪表的次数。
基于本申请实施例的第一方面的第一种可能的实现方式，在第二种可能的实现方式中，所述根据所述行驶数据，判断所述用户的驾驶行为是否异常包括：
判断在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N是否超过预设阈值，其中，N为大于零的整数；
若超过所述预设阈值，则提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据；
对提取出的N组行驶数据进行分析，并根据分析结果判断所述用户的驾驶行为是否异常。
基于本申请实施例的第一方面，在第三种可能的实现方式中，在获取车辆当前的行驶数据之前还包括：
检测所述车辆的转速是否为零；
若所述车辆的转速不为零，则启动所述车辆数字仪表的图像识别功能；
通过所述车辆数字仪表的图像识别功能，检测用户的目光是否聚焦于所述车辆数字仪表；
若检测到所述用户的目光聚焦于所述车辆数字仪表，则确定所述用户查看所述车辆数字仪表。
基于本申请实施例的第一方面，或者本申请实施例的第一方面的第一种可能的实现方式，或者本申请实施例的第一方面的第二种可能的实现方式，或者本申请实施例的第一方面的第三种可能的实现方式，在第四种可能的实现方式中，所述向所述用户发送提示信息包括：
在所述车辆数字仪表上显示所述提示信息。
本申请实施例的第二方面提供了一种驾驶行为分析装置，所述驾驶行为分析装置包括：
数据获取模块，用于当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据；
异常判断模块，用于根据所述行驶数据，判断所述用户的驾驶行为是否异常；
信息发送模块，用于若所述用户的驾驶行为异常，则向所述用户发送提示信息。
基于本申请实施例的第二方面，在第一种可能的实现方式中，所述驾驶行为分析装置还包括：
次数记录模块，用于记录所述用户查看所述车辆数字仪表的次数。
基于本申请实施例的第二方面的第一种可能的实现方式，在第二种可能的实现方式中，所述异常判断模块包括：
判断单元，用于判断在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N是否超过预设阈值，其中，N为大于零的整数；
提取单元，用于若超过所述预设阈值，则提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据；
分析单元，用于对提取出的N组行驶数据进行分析，并根据分析结果判断所述用户的驾驶行为是否异常。
基于本申请实施例的第二方面，在第三种可能的实现方式中，所述驾驶行为分析装置还包括：
转速检测模块，用于检测所述车辆的转速是否为零；
功能启动模块，用于若所述车辆的转速不为零，则启动所述车辆数字仪表的图像识别功能；
目光检测模块，用于通过所述车辆数字仪表的图像识别功能，检测用户的目光是否聚焦于所述车辆数字仪表；
行为确定模块，用于若检测到所述用户的目光聚焦于所述车辆数字仪表，则确定所述用户查看所述车辆数字仪表。
基于本申请实施例的第二方面，或者本申请实施例的第二方面的第一种可能的实现方式，或者本申请实施例的第二方面的第二种可能的实现方式，或者本申请实施例的第二方面的第三种可能的实现方式，在第四种可能的实现方式中，所述信息发送模块具体用于：
在所述车辆数字仪表上显示所述提示信息。
本申请实施例的第三方面提供了一种驾驶行为分析装置，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如上述第一方面及其可能的实现方式中所述驾驶行为分析方法的步骤。
本申请实施例的第四方面提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现如上述第一方面及其可能的实现方式中所述驾驶行为分析方法的步骤。
 有益效果
本申请方案在检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据，并对该行驶数据进行分析，从而判断用户的驾驶行为是否异常，并在用户的驾驶行为异常时，向用户发送提示信息，以提醒用户纠正不良驾驶行为。本申请方案根据用户查看车辆数字仪表的行为及时捕获车辆的行驶数据，并对该行驶数据进行实时分析，可及时提醒用户纠正不良驾驶行为，并无需将行驶数据上传至服务器，从而简化了驾驶行为分析过程，提高了分析驾驶行为的效率和准确性。
 附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1是本申请实施例一提供的驾驶行为分析方法的实现流程示意图；
图2是本申请实施例二提供的驾驶行为分析方法的实现流程示意图；
图3是本申请实施例三提供的驾驶行为分析装置的示意图；
图4是本申请实施例四提供的驾驶行为分析装置的示意图。
 本发明的实施方式
以下描述中，为了说明而不是为了限定，提出了诸如特定系统结构、技术之类的具体细节，以便透彻理解本申请实施例。然而，本领域的技术人员应当清楚，在没有这些具体细节的其它实施例中也可以实现本申请。在其它情况中，省略对众所周知的系统、装置、电路以及方法的详细说明，以免不必要的细节妨碍本申请的描述。
应当理解，当在本说明书和所附权利要求书中使用时，术语“包括”指示所描述特征、整体、步骤、操作、元素和/或组件的存在，但并不排除一个或多个其它特征、整体、步骤、操作、元素、组件和/或其集合的存在或添加。
还应当理解，在此本申请说明书中所使用的术语仅仅是出于描述特定实施例的目的而并不意在限制本申请。如在本申请说明书和所附权利要求书中所使用的那样，除非上下文清楚地指明其它情况，否则单数形式的“一”、“一个”及“该”意在包括复数形式。
还应当进一步理解，在本申请说明书和所附权利要求书中使用的术语“和/或”是指相关联列出的项中的一个或多个的任何组合以及所有可能组合，并且包括这些组合。
如在本说明书和所附权利要求书中所使用的那样，术语“如果”可以依据上下文被解释为“当...时”或“一旦”或“响应于确定”或“响应于检测到”。类似地，短语“如果确定”或“如果检测到[所描述条件或事件]”可以依据上下文被解释为意指“一旦确定”或“响应于确定”或“一旦检测到[所描述条件或事件]”或“响应于检测到[所描述条件或事件]”。
应理解，本实施例中各步骤的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本申请实施例的实施过程构成任何限定。
为了说明本申请所述的技术方案，下面通过具体实施例来进行说明。
参见图1，是本申请实施例一提供的驾驶行为分析方法的实现流程示意图，如图所示该驾驶行为分析方法可以包括以下步骤：
步骤S101，当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据。
在本申请实施例中，可以通过车辆上的数字仪表（即车辆数字仪表）检测用户查看车辆数字仪表的行为，并及时获取用户查看车辆数字仪表时车辆当前的行驶数据，存储该行驶数据。所述行驶数据可以是指能够判断用户的驾驶行为是否异常的数据，包括但不限于驾驶时间、车速信息、转弯角度信息、加速度信息、转向灯开关信息、刹车信息和油门信息等。其中，所述驾驶时间可以是指用户从驾驶车辆开始计时至当前时刻（即检测到用户查看车辆数字仪表的时刻）的时间。
可选的，在获取车辆当前的行驶数据时，本申请实施例还包括：
记录所述用户查看所述车辆数字仪表的次数。
在本申请实施例中，在获取车辆当前的行驶数据时，可以同时记录所述用户查看所述车辆数字仪表的次数。所述记录所述用户查看所述车辆数字仪表的次数可以是指将所述用户查看所述车辆数字仪表的次数在原有值（即该次用户查看车辆数字仪表之前，用户查看所述车辆数字仪表的次数）的基础上加1。其中，在车辆启动时，可以设置用户查看车辆数字仪表的次数的初始值为零，在车辆行驶过程中，只要检测到用户查看车辆数字仪表，那么用户查看车辆数字仪表的次数就会加1。例如，从车辆启动后，第一次检测到用户查看车辆数字仪表，那么记录该用户查看车辆数字仪表的次数N=1，第二次检测到用户查看车辆数字仪表，那么用户查看车辆数字仪表的次数N=1+1=2，第三次检测到用户查看车辆数字仪表，那么用户查看车辆数字仪表的次数N=2+1=3，只要检测到用户查看车辆数字仪表，用户查看车辆数字仪表的次数就相应加1。
步骤S102，根据所述行驶数据，判断所述用户的驾驶行为是否异常。
在本申请实施例中，在获取到车辆当前的行驶数据之后，可以对该行驶数据进行实时分析，以判断用户的驾驶行为是否异常。例如，通过对行驶数据中的车速信息和加速度信息进行分析，判定用户是否存在急加速和急减速行为。
可选的，所述根据所述行驶数据，判断所述用户的驾驶行为是否异常包括：
判断在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N是否超过预设阈值，其中，N为大于零的整数；
若超过所述预设阈值，则提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据；
对提取出的N组行驶数据进行分析，并根据分析结果判断所述用户的驾驶行为是否异常。
在本申请实施例中，为了提高对用户的驾驶行为分析的准确性，可以获取用户在预设时间或者预设路段内的多次行驶数据，通过对多次行驶数据进行综合分析，从而更加准确地判断用户的驾驶行为是否异常。具体的，获取在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N，并将所述用户查看所述车辆数字仪表的次数N与预设阈值进行比较，若所述用户查看所述车辆数字仪表的次数N超过所述预设阈值（即在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数超过预设阈值），那么可以从存储的行驶数据中提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据（若将用户查看一次所述车辆数字仪表时获取的行驶数据记为一组行驶数据，那么用户N次查看所述车辆数字仪表就对应N组行驶数据），即从存储的行驶数据中提取出预设时间或者预设路段内用户查看车辆数字仪表对应的N组行驶数据，通过对N组行驶数据进行分析，从而判断所述用户的驾驶行为是否异常。例如，通过对六组行驶数据进行分析，检测出存在五次急加速，超过了急加速阈值（如三次），此时可以提醒用户存在急加速行为，即用户驾驶行为存在异常。若所述用户查看所述车辆数字仪表的次数N未超过所述预设阈值，则可以结束本次流程。其中，获取在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N，具体可以是，获取在预设时间或者预设路段开始前所述用户查看所述车辆数字仪表的次数L1，获取在预设时间或者预设路段结束后所述用户查看所述车辆数字仪表的次数L2，N=L2-L1。也可以是在预设时间开始计时时才开始记录所述用户查看所述车辆数字仪表的次数，统计在计时结束时所述用户查看所述车辆数字仪表的次数，或者在刚到达预设路段时才开始记录所述用户查看所述车辆数字仪表的次数，统计在行驶完该预设路段时所述用户查看所述车辆数字仪表的次数。
步骤S103，若所述用户的驾驶行为异常，则向所述用户发送提示信息。
可选的，所述向所述用户发送提示信息包括：
在所述车辆数字仪表上显示所述提示信息。
在本申请实施例中，若检测到所述用户的驾驶行为异常（即不良驾驶行为），可以及时提醒用户，并将提示信息显示在车辆数字仪表上，以便用于及时纠正不良的驾驶行为。其中，所述提示信息可以是指提示用户驾驶行为异常的信息，例如在车辆数字仪表上显示“用户存在急加速行为”。
本申请实施例根据用户查看车辆数字仪表的行为及时捕获车辆的行驶数据，并对该行驶数据进行实时分析，可及时提醒用户纠正不良驾驶行为，并无需将行驶数据上传至服务器，从而简化了驾驶行为分析过程，提高了分析驾驶行为的效率和准确性。
参见图2，是本申请实施例二提供的驾驶行为分析方法的实现流程示意图，如图所示该驾驶行为分析方法可以包括以下步骤：
步骤S201，检测车辆的转速是否为零。
步骤S202，若所述车辆的转速不为零，则启动车辆数字仪表的图像识别功能。
在本申请实施例中，可以在检测到车辆的驾驶座椅有用户落座后，获取所述车辆的转速，并检测车辆的转速是否为零，若所述车辆的转速为零，则确定所述车辆处于停车状态，此时车辆并没有行驶，无需检测用户的驾驶行为，若所述车辆的转速不为零，则确定所述车辆处于怠速状态或者行驶状态，此时可以启动所述车辆数字仪表的图像识别功能（即所述车辆数字仪表中内置有图像识别功能）。其中，所述图像识别功能可以是指识别用户的目光是否聚焦于车辆数字仪表的功能。所述车辆的转速为所述车辆发动机的转速，可以通过车辆电子控制单元（Electronic Control Unit，ECU）获取所述车辆发动机的转速。若检测到所述车辆发动机的转速为零，则可以判定所述车辆处于停车状态；若检测到所述车辆发动机的转速不为零且所述车辆发动机空转（即所述车辆发动机有转速但是所述车辆无速度），则可以判定所述车辆处于怠速状态；若所述车辆发动机的转速不为零且所述车辆发动机正常转动（即所述车辆发动机有转速且所述车辆有速度），则可以判定所述车辆处于行驶状态。
步骤S203，通过所述车辆数字仪表的图像识别功能，检测用户的目光是否聚焦于所述车辆数字仪表。
示例性的，在车辆数字仪表中安装一摄像装置，通过该摄像装置获取车辆数字仪表预设范围内的图像，检测该图像中是否存在人眼，若存在人眼且眼球的目光聚焦于车辆数字仪表，则确定检测到用户的目光聚焦于车辆数字仪表；若存在人眼且眼球的目光未聚焦于车辆数字仪表，或者不存在人眼，则确定检测到用户的目光未聚焦于车辆数字仪表。
步骤S204，若检测到所述用户的目光聚焦于所述车辆数字仪表，则确定所述用户查看所述车辆数字仪表。
步骤S205，获取所述车辆当前的行驶数据。
步骤S206，根据所述行驶数据，判断所述用户的驾驶行为是否异常。
该步骤与步骤S102相同，具体可参见步骤S102的相关描述，在此不再赘述。
步骤S207，若所述用户的驾驶行为异常，则向所述用户发送提示信息。
该步骤与步骤S103相同，具体可参见步骤S103的相关描述，在此不再赘述。
本申请实施例在实施例一的基础上，检测车辆的车速是否为零，并在车辆的转速不为零时，启动车辆数字仪表的图像识别功能，通过该图像识别功能检测用户是否在查看车辆数字仪表，从而可快速检测到用户查看车辆数字仪表的行为。
参见图3，是本申请实施例三提供的驾驶行为分析装置的示意图，为了便于说明，仅示出了与本申请实施例相关的部分。
所述驾驶行为分析装置包括：
数据获取模块31，用于当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据；
异常判断模块32，用于根据所述行驶数据，判断所述用户的驾驶行为是否异常；
信息发送模块33，用于若所述用户的驾驶行为异常，则向所述用户发送提示信息。
可选的，所述驾驶行为分析装置还包括：
次数记录模块34，用于记录所述用户查看所述车辆数字仪表的次数。
可选的，所述异常判断模块32包括：
判断单元，用于判断在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N是否超过预设阈值，其中，N为大于零的整数；
提取单元，用于若超过所述预设阈值，则提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据；
分析单元，用于对提取出的N组行驶数据进行分析，并根据分析结果判断所述用户的驾驶行为是否异常。
可选的，所述驾驶行为分析装置还包括：
转速检测模块35，用于检测所述车辆的转速是否为零；
功能启动模块36，用于若所述车辆的转速不为零，则启动所述车辆数字仪表的图像识别功能；
目光检测模块37，用于通过所述车辆数字仪表的图像识别功能，检测用户的目光是否聚焦于所述车辆数字仪表；
行为确定模块38，用于若检测到所述用户的目光聚焦于所述车辆数字仪表，则确定所述用户查看所述车辆数字仪表。
可选的，所述信息发送模块33具体用于：
在所述车辆数字仪表上显示所述提示信息。
本申请实施例提供的驾驶行为分析装置可以应用在前述方法实施例一和实施例二中，详情参见上述方法实施例一和实施例二的描述，在此不再赘述。
图4是本申请实施例四提供的驾驶行为分析装置的示意图。如图4所示，该实施例的驾驶行为分析装置4包括：处理器40、存储器41以及存储在所述存储器41中并可在所述处理器40上运行的计算机程序42。所述处理器40执行所述计算机程序42时实现上述各个驾驶行为分析方法实施例中的步骤，例如图1所示的步骤S101至S103。或者，所述处理器40执行所述计算机程序42时实现上述各装置实施例中各模块/单元的功能，例如图3所示模块31至38的功能。
示例性的，所述计算机程序42可以被分割成一个或多个模块/单元，所述一个或者多个模块/单元被存储在所述存储器41中，并由所述处理器40执行，以完成本申请。所述一个或多个模块/单元可以是能够完成特定功能的一系列计算机程序指令段，该指令段用于描述所述计算机程序42在所述驾驶行为分析装置4中的执行过程。例如，所述计算机程序42可以被分割成数据获取模块、异常判断模块、信息发送模块、次数记录模块、转速检测模块、功能启动模块、目光检测模块以及行为确定模块，各模块具体功能如下：
数据获取模块，用于当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据；
异常判断模块，用于根据所述行驶数据，判断所述用户的驾驶行为是否异常；
信息发送模块，用于若所述用户的驾驶行为异常，则向所述用户发送提示信息。
次数记录模块，用于记录所述用户查看所述车辆数字仪表的次数。
可选的，所述异常判断模块包括：
判断单元，用于判断在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N是否超过预设阈值，其中，N为大于零的整数；
提取单元，用于若超过所述预设阈值，则提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据；
分析单元，用于对提取出的N组行驶数据进行分析，并根据分析结果判断所述用户的驾驶行为是否异常。
转速检测模块，用于检测所述车辆的转速是否为零；
功能启动模块，用于若所述车辆的转速不为零，则启动所述车辆数字仪表的图像识别功能；
目光检测模块，用于通过所述车辆数字仪表的图像识别功能，检测用户的目光是否聚焦于所述车辆数字仪表；
行为确定模块，用于若检测到所述用户的目光聚焦于所述车辆数字仪表，则确定所述用户查看所述车辆数字仪表。
可选的，所述信息发送模块具体用于：
在所述车辆数字仪表上显示所述提示信息。
所述驾驶行为分析装置4可包括，但不仅限于，处理器40、存储器41。本领域技术人员可以理解，图4仅仅是驾驶行为分析装置4的示例，并不构成对驾驶行为分析装置4的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件，例如所述驾驶行为分析装置还可以包括输入输出设备、网络接入设备、总线等。
应当理解，在本申请实施例中，所述处理器40可以是中央处理单元(Central Processing Unit，CPU)，该处理器还可以是其他通用处理器、数字信号处理器 (Digital Signal Processor，DSP)、专用集成电路 (Application Specific Integrated Circuit，ASIC)、现成可编程门阵列 (Field-Programmable Gate Array，FPGA) 或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
所述存储器41可以是所述驾驶行为分析装置4的内部存储单元，例如驾驶行为分析装置4的硬盘或内存。所述存储器41也可以是所述驾驶行为分析装置4的外部存储设备，例如所述驾驶行为分析装置4上配备的插接式硬盘，智能存储卡（Smart Media Card, SMC），安全数字（Secure Digital, SD）卡，闪存卡（Flash Card）等。进一步地，所述存储器41还可以既包括所述驾驶行为分析装置4的内部存储单元也包括外部存储设备。所述存储器41用于存储所述计算机程序以及所述驾驶行为分析装置所需的其他程序和数据。所述存储器41还可以用于暂时地存储已经输出或者将要输出的数据。
所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，仅以上述各功能单元、模块的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能单元、模块完成，即将所述装置的内部结构划分成不同的功能单元或模块，以完成以上描述的全部或者部分功能。实施例中的各功能单元、模块可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中，上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。另外，各功能单元、模块的具体名称也只是为了便于相互区分，并不用于限制本申请的保护范围。上述系统中单元、模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述或记载的部分，可以参见其它实施例的相关描述。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
在本申请所提供的实施例中，应该理解到，所揭露的装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通讯连接可以是通过一些接口，装置或单元的间接耦合或通讯连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器执行时，可实现上述各个方法实施例的步骤。其中，所述计算机程序包括计算机程序代码，所述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。所述计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器（ROM，Read-Only Memory）、随机存取存储器（RAM，Random Access Memory）、电载波信号、电信信号以及软件分发介质等。需要说明的是，所述计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括电载波信号和电信信号。
以上所述实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围，均应包含在本申请的保护范围之内。

Claims (10)

  1. 一种驾驶行为分析方法，其特征在于，所述驾驶行为分析方法包括：
    当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据；
    根据所述行驶数据，判断所述用户的驾驶行为是否异常；
    若所述用户的驾驶行为异常，则向所述用户发送提示信息。
  2. 如权利要求1所述的驾驶行为分析方法，其特征在于，在获取车辆当前的行驶数据时，所述驾驶行为分析方法还包括：
    记录所述用户查看所述车辆数字仪表的次数。
  3. 如权利要求2所述的驾驶行为分析方法，其特征在于，所述根据所述行驶数据，判断所述用户的驾驶行为是否异常包括：
    判断在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N是否超过预设阈值，其中，N为大于零的整数；
    若超过所述预设阈值，则提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据；
    对提取出的N组行驶数据进行分析，并根据分析结果判断所述用户的驾驶行为是否异常。
  4. 如权利要求1所述的驾驶行为分析方法，其特征在于，在获取车辆当前的行驶数据之前还包括：
    检测所述车辆的转速是否为零；
    若所述车辆的转速不为零，则启动所述车辆数字仪表的图像识别功能；
    通过所述车辆数字仪表的图像识别功能，检测用户的目光是否聚焦于所述车辆数字仪表；
    若检测到所述用户的目光聚焦于所述车辆数字仪表，则确定所述用户查看所述车辆数字仪表。
  5. 如权利要求1至4任一项所述的驾驶行为分析方法，其特征在于，所述向所述用户发送提示信息包括：
    在所述车辆数字仪表上显示所述提示信息。
  6. 一种驾驶行为分析装置，其特征在于，所述驾驶行为分析装置包括：
    数据获取模块，用于当检测到用户查看车辆数字仪表时，获取车辆当前的行驶数据；
    异常判断模块，用于根据所述行驶数据，判断所述用户的驾驶行为是否异常；
    信息发送模块，用于若所述用户的驾驶行为异常，则向所述用户发送提示信息。
  7. 如权利要求6所述的驾驶行为分析装置，其特征在于，所述驾驶行为分析装置还包括：
    次数记录模块，用于记录所述用户查看所述车辆数字仪表的次数；
    所述异常判断模块包括：
    判断单元，用于判断在预设时间或者预设路段内所述用户查看所述车辆数字仪表的次数N是否超过预设阈值，其中，N为大于零的整数；
    提取单元，用于若超过所述预设阈值，则提取出所述用户N次查看所述车辆数字仪表时分别获取的行驶数据；
    分析单元，用于对提取出的N组行驶数据进行分析，并根据分析结果判断所述用户的驾驶行为是否异常。
  8. 如权利要求6或7所述的驾驶行为分析装置，其特征在于，所述驾驶行为分析装置还包括：
    转速检测模块，用于检测所述车辆的转速是否为零；
    功能启动模块，用于若所述车辆的转速不为零，则启动所述车辆数字仪表的图像识别功能；
    目光检测模块，用于通过所述车辆数字仪表的图像识别功能，检测用户的目光是否聚焦于所述车辆数字仪表；
    行为确定模块，用于若检测到所述用户的目光聚焦于所述车辆数字仪表，则确定所述用户查看所述车辆数字仪表。
  9. 一种驾驶行为分析装置，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1至5任一项所述驾驶行为分析方法的步骤。
  10. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1至5任一项所述驾驶行为分析方法的步骤。
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