WO2021012528A1 - Procédé et appareil d'assistance à la sécurité de conduite, véhicule et support de stockage lisible - Google Patents

Procédé et appareil d'assistance à la sécurité de conduite, véhicule et support de stockage lisible Download PDF

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Publication number
WO2021012528A1
WO2021012528A1 PCT/CN2019/118608 CN2019118608W WO2021012528A1 WO 2021012528 A1 WO2021012528 A1 WO 2021012528A1 CN 2019118608 W CN2019118608 W CN 2019118608W WO 2021012528 A1 WO2021012528 A1 WO 2021012528A1
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WIPO (PCT)
Prior art keywords
driving
proficiency
current driver
distance value
preset
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PCT/CN2019/118608
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English (en)
Chinese (zh)
Inventor
刘嘉
吴东勤
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平安科技（深圳）有限公司
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Publication of WO2021012528A1 publication Critical patent/WO2021012528A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/06—Automatic manoeuvring for parking
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/143—Alarm means

Definitions

  • This application relates to the technical field of vehicle management and control, and in particular to a driving safety assistance method, device, vehicle, and readable storage medium.
  • Reversing radar also called “parking assist device” is a safety assist device when a car is parking or reversing. It can notify the driver of obstacles around the driver by sound or a more intuitive display to improve driving safety.
  • the reversing radar uses the same warning mechanism for any driver driving any vehicle.
  • Such warning methods are not suitable for all drivers of different driving proficiency levels.
  • the vehicle will issue a warning when the obstacle is less than a preset distance when reversing. After the warning is issued, the skilled driver can still control and adjust the operation of the vehicle. For drivers who are not proficient in their driving skills, they may not be able to control and adjust the vehicle due to the small distance from the obstacle.
  • the first aspect of the present application provides a driving safety assistance method, the method includes:
  • Triggering a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle Triggering a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle
  • the triggering of a warning mechanism according to the driving proficiency of the current driver includes:
  • the warning mechanism is triggered.
  • a second aspect of the present application provides a vehicle, the vehicle includes a processor and a memory, the memory is configured to store at least one computer-readable instruction, and the processor is configured to execute the at least one computer-readable instruction to implement the following steps :
  • Triggering a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle Triggering a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle
  • the triggering of a warning mechanism according to the driving proficiency of the current driver includes:
  • the warning mechanism is triggered.
  • a third aspect of the present application provides a non-volatile readable storage medium, the non-volatile readable storage medium stores at least one computer readable instruction, which is implemented when the at least one computer readable instruction is executed by a processor The following steps:
  • Triggering a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle Triggering a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle
  • the triggering of a warning mechanism according to the driving proficiency of the current driver includes:
  • the warning mechanism is triggered.
  • a fourth aspect of the present application provides a driving safety auxiliary device, which includes:
  • the acquisition module is used to acquire the identity information of the current driver of the vehicle, and acquire the driving record corresponding to the current driver according to the identity information of the current driver;
  • the execution module is used to call the driving proficiency recognition model generated by pre-training, and recognize the driving proficiency of the current driver according to the driving record corresponding to the current driver;
  • the execution module is also used to trigger a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle,
  • the triggering of a warning mechanism according to the driving proficiency of the current driver includes:
  • the warning mechanism is triggered.
  • the driving safety assistance method, device, vehicle, and readable storage medium described in the embodiments of this application obtain the identity information of the current driver of the vehicle and obtain the corresponding current driver according to the identity information of the current driver.
  • Driving record call the driving proficiency recognition model generated by pre-training, and identify the driving proficiency of the current driver according to the driving record corresponding to the current driver; and trigger according to the driving proficiency of the current driver
  • the warning mechanism can be triggered according to the driver’s proficiency program to effectively improve driving safety.
  • Fig. 1 is a flowchart of a driving safety assistance method provided by a preferred embodiment of the present application.
  • Fig. 2 is a structural diagram of a driving safety auxiliary device provided by a preferred embodiment of the present application.
  • Fig. 3 is a schematic diagram of a vehicle provided by a preferred embodiment of the present application.
  • Fig. 1 is a flowchart of a driving safety assistance method provided by a preferred embodiment of the present application.
  • the driving safety assistance method can be applied to vehicles.
  • the functions for driving safety assistance provided by the method of this application can be directly integrated on the vehicle, or Software Development Kit (SDK) runs on the vehicle in the form of a software development kit.
  • SDK Software Development Kit
  • the driving safety assistance method specifically includes the following steps. According to different requirements, the sequence of the steps in the flowchart can be changed, and some steps can be omitted.
  • Step S1 Obtain the identity information of the current driver of the vehicle, and obtain the driving record corresponding to the current driver according to the identity information of the current driver.
  • the driving record includes, but is not limited to, the time when the current driver receives the driving license and the auto insurance claim record.
  • the auto insurance claim settlement record includes, but is not limited to, the number of accidents, the frequency of accidents, the degree of damage, and the amount of claims.
  • the vehicle described in the embodiment of the present application establishes a communication connection with the server through a network (such as WIFI, radio, etc.).
  • the server stores driving records corresponding to each driver.
  • the server may belong to different insurance companies.
  • a user interface may be displayed on the display screen of the vehicle for the driver to input identity information.
  • the identity information may be the driver's fingerprint, ID number, or other information that can verify the driver's identity.
  • Step S2 Invoking the driving proficiency recognition model generated by pre-training, and identifying the driving proficiency of the current driver according to the driving record corresponding to the current driver.
  • the driving record corresponding to the current driver is input into the driving proficiency recognition model generated by the pre-training to obtain the driving proficiency of the current driver.
  • the driving proficiency can be divided into general proficiency, relatively proficient, and proficient.
  • the driving record corresponding to the general proficiency level belongs to the first parameter range
  • the driving record corresponding to the relatively proficient driving level belongs to the second parameter range
  • the driving proficiency level corresponds to the proficiency level.
  • the driving record belongs to the third parameter range.
  • the first parameter range, the second parameter range, and the third parameter range are different parameter ranges.
  • the method for training the driving proficiency recognition model includes:
  • 500 driving records corresponding to the general proficiency level are selected, and the 500 driving records are marked as "1", that is, "1" is used as a label.
  • 500 driving records corresponding to when the driving proficiency is relatively proficient are selected, and the 500 driving records are marked as "2", that is, "2” is used as a label.
  • Select 500 driving records corresponding to the proficiency of driving proficiency and mark the 500 driving records as "3", that is, use "3" as a label.
  • the driving record corresponding to the driving proficiency level is generally proficient is distributed to the first folder
  • the driving record corresponding to the driving proficiency level is relatively proficient is distributed to the second folder
  • the driving The driving record corresponding to the proficiency level is distributed to the third folder.
  • the second preset ratio (for example, 30%) of driving records is used as a verification set, and the verification set is used to verify the accuracy of the driving proficiency recognition model obtained by training.
  • the accuracy rate is less than the preset accuracy rate, increase the number of training samples in the step 1), that is, obtain more training samples, and use the more training samples to perform a new operation according to the above step 2).
  • the deep neural network is trained until the accuracy rate of the re-obtained driving proficiency recognition model is greater than or equal to the preset accuracy rate.
  • Step S3 triggering a warning mechanism according to the driving proficiency of the current driver during the running of the vehicle.
  • the triggering of the warning mechanism according to the driving proficiency of the current driver includes steps (y1)-(y3):
  • step (y1) the warning distance value is determined according to the driving proficiency of the current driver.
  • the determining the alarm distance value according to the driving proficiency of the current driver includes: pre-establishing a correspondence between the driving proficiency and the preset distance value, wherein different driving proficiency corresponds to different A preset distance value; when the driving proficiency of the current driver is identified by the driving proficiency recognition model, the preset corresponding to the driving proficiency of the current driver is determined according to the pre-established correspondence The distance value, the determined preset distance value is used as the alarm distance value.
  • the driving proficiency when the driving proficiency is preset as general proficiency, it corresponds to the preset first distance value; When the proficiency is relatively proficient, it corresponds to the preset second distance value; and when the driving proficiency is preset to be proficient, it corresponds to the preset third distance value.
  • the driving proficiency of the current driver is recognized by the driving proficiency recognition model, the driving proficiency corresponding to the current driver's driving proficiency can be determined according to the pre-established correspondence relationship. Alarm distance value.
  • the first distance value is greater than the second distance value and the third distance value.
  • the first distance value is greater than the second distance value, and the second distance value is greater than the third distance value.
  • Step (y2) detecting the distance between the vehicle and the obstacle during the running of the vehicle.
  • the distance between the vehicle and an obstacle can be detected when the vehicle is reversing.
  • the distance between the vehicle and the obstacle can be detected when the vehicle is moving forward.
  • the obstacle may refer to an object in a stationary state or a pedestrian or a vehicle in a dynamic state.
  • the distance between the vehicle and an obstacle may refer to the distance between the vehicle and an obstacle located in front, rear, left, or right of the vehicle.
  • a radar installed on the vehicle can be used to detect the distance value between the vehicle and the obstacle.
  • step (y3) when the detected distance value is less than the determined alarm distance value, the warning mechanism is triggered.
  • the triggering warning mechanism may refer to controlling the buzzer of the vehicle to emit a warning sound effect, and/or displaying text information on the display screen of the vehicle to prompt the current driver.
  • the triggering of a warning mechanism according to the driving proficiency of the current driver includes:
  • Step S41 Detect the road conditions in front of the vehicle in real time, where the road conditions in front include, but are not limited to: the number of lanes, the degree of traffic congestion, whether a school road section, visibility, etc.
  • the forward road condition may refer to the road condition on the road ahead that is a preset distance (for example, 1 km) from the vehicle.
  • a preset map (such as Google Maps, Baidu Maps) can be invoked to obtain the number of lanes included in the road conditions ahead, the degree of traffic congestion, whether the road ahead includes school sections, etc., and invoke the preset weather forecast It is assumed that the software obtains the visibility index and so on.
  • Step S42 Determine whether to issue a prompt according to the front road condition and the driving proficiency of the current driver, and prompt the current driver to replan the travel route.
  • the driver's driving proficiency is relatively high. Therefore, it can be set in the rule: if the road ahead includes a school section, and the driving proficiency of the current driver is general proficiency, the prompt will be issued to remind the current driver whether to re-plan the route of travel Make a selection.
  • step S43 when the re-planning route is determined, the route is re-planned according to the driving proficiency of the current driver.
  • the road ahead includes a school section
  • the driving proficiency of the current driver is generally proficient
  • a new travel route that can avoid the school section can be replanned.
  • the driving safety assistance method described in the embodiments of the present application obtains the current driver's identity information of the vehicle, and obtains the driving record corresponding to the current driver according to the current driver's identity information;
  • the driving proficiency recognition model generated by pre-training is used to identify the driving proficiency of the current driver according to the driving record corresponding to the current driver; and the warning mechanism is triggered according to the driving proficiency of the current driver.
  • the driver’s driving proficiency program triggers the warning mechanism, effectively improving driving safety.
  • Figure 1 describes in detail the driving safety assistance method of the present application, and in conjunction with Figures 2 to 3, the functional modules of the software device for implementing the driving safety assistance method and the hardware device architecture for implementing the driving safety assistance method are introduced. .
  • FIG. 2 is a structural diagram of the driving safety auxiliary device provided by the preferred embodiment of the present application.
  • the driving safety assist device 30 runs in a vehicle.
  • the vehicle is connected to external equipment through a network.
  • the driving safety auxiliary device 30 may include multiple functional modules composed of program code segments.
  • the program code of each program segment in the driving safety auxiliary device 30 may be stored in the memory of the vehicle and executed by the at least one processor to realize the driving safety auxiliary function (see FIG. 2 for details).
  • the driving safety auxiliary device 30 can be divided into multiple functional modules according to the functions it performs.
  • the functional modules may include: an acquisition module 301 and an execution module 302.
  • the module referred to in this application refers to a series of computer-readable instruction segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the function of each module will be described in detail in subsequent embodiments.
  • the obtaining module 301 obtains the identity information of the current driver of the vehicle, and obtains the driving record corresponding to the current driver according to the identity information of the current driver.
  • the driving record includes, but is not limited to, the time when the current driver receives the driving license and the auto insurance claim record.
  • the auto insurance claim settlement record includes, but is not limited to, the number of accidents, the frequency of accidents, the degree of damage, and the amount of claims.
  • the vehicle described in the embodiment of the present application establishes a communication connection with the server through the network.
  • the server stores driving records corresponding to each driver.
  • the server may belong to different insurance companies.
  • the vehicle can be connected to the server via any traditional wireless network communication via the network.
  • the wireless network can be any type of traditional wireless communication, such as radio, wireless fidelity (Wireless Fidelity, WIFI), cellular, satellite, broadcast, etc.
  • Wireless communication technologies may include, but are not limited to, Global System for Mobile Communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (W-CDMA), CDMA2000, IMT Single Carrier (IMT Single Carrier), Enhanced Data Rates for GSM Evolution (EDGE), Long-Term Evolution Technology (Long-Term Evolution, LTE) , Advanced long-term evolution technology, Time-Division LTE (TD-LTE), High-Performance Radio Local Area Network (HiperLAN), High-Performance Radio Wide Area Network (HiperWAN) , Local Multipoint Distribution Service (LMDS), Worldwide Interoperability for Microwave Access (WiMAX), ZigBee Protocol (ZigBee), Bluetooth, Orthogonal Frequency Division
  • the acquisition module 301 may display a user interface on the display screen of the vehicle for the driver to input identity information.
  • the identity information may be the driver's fingerprint, ID number, or other information that can verify the driver's identity.
  • the execution module 302 is configured to call a driving proficiency recognition model generated by pre-training, and identify the driving proficiency of the current driver according to the driving record corresponding to the current driver.
  • the execution module 302 inputs the driving record corresponding to the current driver into the driving proficiency recognition model generated by the pre-training to obtain the driving proficiency of the current driver.
  • the driving proficiency can be divided into general proficiency, relatively proficient, and proficient.
  • the driving record corresponding to the general proficiency level belongs to the first parameter range
  • the driving record corresponding to the relatively proficient driving level belongs to the second parameter range
  • the driving proficiency level corresponds to the proficiency level.
  • the driving record belongs to the third parameter range.
  • the first parameter range, the second parameter range, and the third parameter range are different parameter ranges.
  • the execution module 302 is also used to train the driving proficiency recognition model.
  • the execution module 302 obtains a preset number of driving records corresponding to the different driving proficiency levels, and marks the types of driving records corresponding to each driving proficiency level, so that the driving record is compatible with each driving proficiency level.
  • the driving record corresponding to the degree carries a category label, and the preset number of driving records corresponding to different driving proficiency levels after the category labeling are used as training samples.
  • 500 driving records corresponding to the general proficiency level are selected, and the 500 driving records are marked as "1", that is, "1" is used as a label.
  • 500 driving records corresponding to when the driving proficiency is relatively proficient are selected, and the 500 driving records are marked as "2", that is, "2” is used as a label.
  • Select 500 driving records corresponding to the proficiency of driving proficiency and mark the 500 driving records as "3", that is, use "3" as a label.
  • the execution module 302 randomly divides the training samples into a training set with a first preset ratio and a verification set with a second preset ratio, uses the training set to train a deep neural network to obtain the driving proficiency recognition model, and uses The verification set verifies the accuracy of the trained driving proficiency recognition model.
  • the driving record corresponding to the driving proficiency level is generally proficient is distributed to the first folder
  • the driving record corresponding to the driving proficiency level is relatively proficient is distributed to the second folder
  • the driving The driving record corresponding to the proficiency level is distributed to the third folder.
  • the second preset ratio (for example, 30%) of driving records is used as a verification set, and the verification set is used to verify the accuracy of the driving proficiency recognition model obtained by training.
  • the execution module 302 ends the training.
  • the execution module 302 increases the number of training samples to obtain more training samples, and uses the more training samples to retrain the deep neural network until it is obtained again
  • the accuracy rate of the driving proficiency recognition model is greater than or equal to the preset accuracy rate.
  • the execution module 302 is also used to trigger a warning mechanism according to the driving proficiency of the current driver during the driving of the vehicle.
  • the execution module 302 triggers a warning mechanism according to the driving proficiency of the current driver including:
  • the execution module 302 determines the warning distance value according to the driving proficiency of the current driver.
  • the determining the alarm distance value according to the driving proficiency of the current driver includes: pre-establishing a correspondence between the driving proficiency and the preset distance value, wherein different driving proficiency corresponds to different A preset distance value; when the driving proficiency of the current driver is identified by the driving proficiency recognition model, the preset corresponding to the driving proficiency of the current driver is determined according to the pre-established correspondence The distance value, the determined preset distance value is used as the alarm distance value.
  • the driving proficiency when the driving proficiency is preset as general proficiency, it corresponds to the preset first distance value; the driving is preset When the proficiency is relatively proficient, it corresponds to the preset second distance value; and when the driving proficiency is preset to be proficient, it corresponds to the preset third distance value.
  • the driving proficiency of the current driver is recognized by the driving proficiency recognition model, the driving proficiency corresponding to the current driver's driving proficiency can be determined according to the pre-established correspondence relationship. Alarm distance value.
  • the first distance value is greater than the second distance value and the third distance value.
  • the first distance value is greater than the second distance value, and the second distance value is greater than the third distance value.
  • the execution module 302 also detects the distance between the vehicle and the obstacle during the running of the vehicle.
  • the distance between the vehicle and an obstacle can be detected when the vehicle is reversing.
  • the distance between the vehicle and the obstacle can be detected when the vehicle is moving forward.
  • the obstacle may refer to an object in a stationary state or a pedestrian or a vehicle in a dynamic state.
  • the distance between the vehicle and an obstacle may refer to the distance between the vehicle and an obstacle located in front, rear, left, or right of the vehicle.
  • a radar installed on the vehicle can be used to detect the distance value between the vehicle and the obstacle.
  • the execution module 302 triggers the alarm mechanism.
  • the triggering warning mechanism may refer to controlling the buzzer of the vehicle to emit a warning sound effect, and/or displaying text information on the display screen of the vehicle to prompt the current driver.
  • the execution module 302 may also control the vehicle to decelerate when the detected distance value is less than the determined alarm distance value.
  • the execution module 302 triggering a warning mechanism according to the current driver’s driving proficiency includes:
  • the execution module 302 detects the road conditions in front of the vehicle in real time, where the road conditions in front include, but are not limited to: the number of lanes, the degree of traffic congestion, whether a school road section is or not, and visibility.
  • the forward road condition may refer to the road condition on the road ahead that is a preset distance (for example, 1 km) from the vehicle.
  • a preset map (such as Google Maps, Baidu Maps) can be invoked to obtain the number of lanes included in the road conditions ahead, the degree of traffic congestion, whether the road ahead includes school sections, etc., and invoke the preset weather forecast It is assumed that the software obtains the visibility index and so on.
  • the execution module 302 determines whether to issue a prompt according to the front road condition and the driving proficiency of the current driver, and prompts the current driver to re-plan the travel route.
  • the driver's driving proficiency is relatively high. Therefore, it can be set in the rule: if the road ahead includes a school section, and the driving proficiency of the current driver is general proficiency, the prompt will be issued to remind the current driver whether to re-plan the route of travel Make a selection.
  • the execution module 302 re-plans the route according to the driving proficiency of the current driver when determining to re-plan the travel route.
  • the road ahead includes a school section
  • the driving proficiency of the current driver is generally proficient
  • a new travel route that can avoid the school section can be replanned.
  • the driving safety assistance device described in the embodiment of the present application obtains the driving record corresponding to the current driver according to the current driver's identity information by acquiring the identity information of the current driver of the vehicle;
  • the driving proficiency recognition model generated by pre-training is used to identify the driving proficiency of the current driver according to the driving record corresponding to the current driver; and the warning mechanism is triggered according to the driving proficiency of the current driver.
  • the driver’s driving proficiency program triggers the warning mechanism, effectively improving driving safety.
  • FIG. 3 is a schematic structural diagram of a vehicle provided by a preferred embodiment of this application.
  • the vehicle 3 includes a memory 31, at least one processor 32, and at least one communication bus 33.
  • the structure of the vehicle shown in FIG. 3 does not constitute a limitation of the embodiment of the present application. It may be a bus structure or a star structure.
  • the vehicle 3 may also include more More or less other hardware or software, or different component arrangements.
  • the vehicle 3 includes a terminal that can automatically perform numerical calculation and/or information processing according to pre-set or stored computer-readable instructions, and its hardware includes, but is not limited to, a microprocessor, a dedicated integrated circuit Circuits, programmable gate arrays, digital processors and embedded devices, etc.
  • vehicle 3 is only an example, and other existing or future vehicles that can be adapted to this application should also be included in the protection scope of this application and included here by reference.
  • the memory 31 is used to store program codes and various data, such as the driving safety auxiliary device 30 installed in the vehicle 3, and realize the high-speed and automatic completion of the program during the operation of the vehicle 3 Or data access.
  • the memory 31 includes Read-Only Memory (ROM), Programmable Read-Only Memory (PROM), and Erasable Programmable Read-Only Memory (EPROM) , One-time Programmable Read-Only Memory (OTPROM), Electronically-Erasable Programmable Read-Only Memory (EEPROM), CD-ROM (Compact Disc Read- Only Memory, CD-ROM) or other optical disk storage, magnetic disk storage, tape storage, or any other non-volatile readable storage medium that can be used to carry or store data.
  • ROM Read-Only Memory
  • PROM Programmable Read-Only Memory
  • EPROM Erasable Programmable Read-Only Memory
  • OTPROM One-time Programmable Read-Only Memory
  • EEPROM Electronically-Erasable Programmable Read-Only Memory
  • CD-ROM Compact
  • the at least one processor 32 may be composed of integrated circuits, for example, may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same function or different functions, including one Or a combination of multiple central processing units (CPU), microprocessors, digital processing chips, graphics processors, and various control chips.
  • the at least one processor 32 is the control core (Control Unit) of the vehicle 3, which uses various interfaces and lines to connect various components of the entire vehicle 3, and by running or executing programs or modules stored in the memory 31, And call the data stored in the memory 31 to execute various functions of the vehicle 3 and process data, for example, to execute the function of driving safety assistance.
  • Control Unit Control Unit
  • the at least one communication bus 33 is configured to implement connection and communication between the memory 31 and the at least one processor 32 and the like.
  • the vehicle 3 may also include a power source (such as a battery) for supplying power to various components.
  • the power source may be logically connected to the at least one processor 32 through a power management device, so as to realize management through the power management device. Functions such as charging, discharging, and power management.
  • the power supply may also include one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power supply status indicators and other arbitrary components.
  • the vehicle 3 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.
  • the above-mentioned integrated unit implemented in the form of a software function module may be stored in a nonvolatile readable storage medium.
  • the above-mentioned software function module includes a number of computer-readable instructions to enable a vehicle or a processor to execute part of the method described in each embodiment of the present application.
  • the at least one processor 32 can execute the operating device of the vehicle 3 and various installed applications (such as the driving safety auxiliary device 30), program codes, etc., for example, the various modules mentioned above.
  • the memory 31 stores program codes, and the at least one processor 32 can call the program codes stored in the memory 31 to execute related functions.
  • the various modules described in FIG. 2 are program codes stored in the memory 31 and executed by the at least one processor 32, so as to realize the functions of the various modules to achieve the purpose of driving safety assistance.
  • the memory 31 stores a plurality of computer-readable instructions, and the plurality of computer-readable instructions are executed by the at least one processor 32 to achieve the purpose of driving safety assistance.
  • the at least one processor 32 executes the instructions to achieve the purpose of driving safety assistance.
  • the disclosed device, vehicle, and method may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the modules is only a logical function division, and there may be other division methods in actual implementation.
  • modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional modules in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional modules.

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  • Automation & Control Theory (AREA)
  • Transportation (AREA)
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  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un procédé d'assistance à la sécurité de conduite, comprenant les étapes consistant à : acquérir des informations d'identité d'un conducteur actuel d'un véhicule et acquérir, en fonction des informations d'identité du conducteur actuel, un enregistrement de conduite correspondant au conducteur actuel ; appeler un modèle de reconnaissance de compétence de conduite généré au moyen d'un pré-apprentissage et reconnaître, en fonction de l'enregistrement de conduite correspondant au conducteur actuel, la compétence de conduite du conducteur actuel ; et déclencher, en fonction de la compétence de conduite du conducteur actuel, un mécanisme d'avertissement pendant la conduite du véhicule. En outre, l'invention concerne également un appareil pour mettre en œuvre le procédé d'assistance à la sécurité de conduite, un véhicule et un support de stockage lisible. Ce procédé peut permettre de déclencher un mécanisme d'avertissement en fonction de la compétence de conduite d'un conducteur, ce qui permet d'améliorer la sécurité de conduite.
PCT/CN2019/118608 2019-07-25 2019-11-14 Procédé et appareil d'assistance à la sécurité de conduite, véhicule et support de stockage lisible WO2021012528A1 (fr)

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