WO2022143425A1 - 驾驶数据的处理 - Google Patents

驾驶数据的处理 Download PDF

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Publication number
WO2022143425A1
WO2022143425A1 PCT/CN2021/140967 CN2021140967W WO2022143425A1 WO 2022143425 A1 WO2022143425 A1 WO 2022143425A1 CN 2021140967 W CN2021140967 W CN 2021140967W WO 2022143425 A1 WO2022143425 A1 WO 2022143425A1
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WIPO (PCT)
Prior art keywords
driving
driver
environment information
driving environment
information
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PCT/CN2021/140967
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English (en)
French (fr)
Inventor
何裕康
梁冠华
毛宁元
许亮
Original Assignee
上海商汤临港智能科技有限公司
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Publication of WO2022143425A1 publication Critical patent/WO2022143425A1/zh

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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
    • 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
    • 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
    • B60W2540/00—Input parameters relating to occupants
    • B60W2540/22—Psychological state; Stress level or workload
    • 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
    • B60W2540/00—Input parameters relating to occupants
    • B60W2540/24—Drug level, e.g. alcohol
    • 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
    • B60W2540/00—Input parameters relating to occupants
    • B60W2540/26—Incapacity
    • 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
    • B60W2540/00—Input parameters relating to occupants
    • B60W2540/30—Driving style
    • 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
    • B60W2552/00—Input parameters relating to infrastructure
    • B60W2552/53—Road markings, e.g. lane marker or crosswalk
    • 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
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/40—Dynamic objects, e.g. animals, windblown objects
    • B60W2554/406—Traffic density
    • 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
    • B60W2555/00—Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
    • B60W2555/20—Ambient conditions, e.g. wind or rain
    • 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
    • B60W2710/00—Output or target parameters relating to a particular sub-units
    • B60W2710/20—Steering systems
    • 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
    • B60W2720/00—Output or target parameters relating to overall vehicle dynamics
    • B60W2720/10—Longitudinal speed
    • 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
    • B60W2720/00—Output or target parameters relating to overall vehicle dynamics
    • B60W2720/10—Longitudinal speed
    • B60W2720/106—Longitudinal acceleration

Definitions

  • the present disclosure relates to the technical field of intelligent transportation, and in particular, to a driving data processing method, apparatus, device, storage medium and program product.
  • road conditions are collected through driving assistance tools, and then the driver is reminded of the road conditions based on the quality of the road conditions to avoid traffic accidents.
  • the present disclosure provides a driving data processing method, device, device, storage medium and program product, which are used to solve the problem of low pertinence of road condition reminders.
  • the present disclosure provides a method for processing driving data, including:
  • target driving environment information includes the driving environment information corresponding to the driving data satisfying the preset risk condition in the historical driving data of the driver
  • driving reminder information is output.
  • driver information management system sends the driver's identity information to a driver information management system, where the driver information management system stores target driving environment information corresponding to one or more drivers;
  • the target driving environment information corresponding to the driver is determined as follows:
  • the corresponding driving environment information of the driver is constructed. driver profile.
  • the historical driving data of the driver and the historical driving environment information corresponding to the historical driving data are obtained through an advanced driving assistance system ADAS and/or a driver monitoring system DMS.
  • the driving data satisfying the preset risk condition includes at least one of the following:
  • the method further includes:
  • the driver information management system is based on The driving data of the driver and the driving environment information in the trip of the driver driving the vehicle update the target driving environment information corresponding to the driver, and the driving data of the driver.
  • the driving The driving environment information in the journey of the driver driving the vehicle and the updated target driving environment information are stored in the driver file corresponding to the driver.
  • the driving environment information includes at least one of the following: road condition information, weather information, lane line information, traffic sign information, and traffic light information.
  • outputting driving reminder information includes at least one of the following:
  • the target driving environment information is the driving environment information corresponding to the first driving data, output driving speed reminder information;
  • the target driving environment information is the driving environment information corresponding to the third driving data, outputting sudden deceleration reminder information
  • the target driving environment information is the driving environment information corresponding to the fourth driving data, output sharp turn reminder information;
  • the target driving environment information is the driving environment information corresponding to the fifth driving data
  • the sudden lane change warning information is output.
  • it also includes:
  • the outputting driving reminder information when the current driving environment information matches the target driving environment information includes:
  • driving reminder information is output in response to the current state of the driver being a preset dangerous driving state.
  • the method further includes:
  • the current state of the driver is detected based on the current image data.
  • the preset dangerous driving state includes at least one of the following: drinking water, making a phone call, smoking, bowing your head, yawning, closing your eyes for a first preset period of time, and a head offset angle of more than The time when the first angle threshold reaches the second preset time period. The time when the line of sight deviation angle exceeds the second angle threshold value reaches the third preset time period.
  • the present disclosure provides a driving data processing device, including:
  • a first obtaining module configured to obtain target driving environment information corresponding to the driver, where the target driving environment information includes the driving environment information corresponding to the driving data satisfying the preset risk condition in the historical driving data of the driver;
  • a second acquiring module configured to acquire current driving environment information of the driver's current itinerary
  • a driving reminder module configured to output driving reminder information when the current driving environment information matches the target driving environment information.
  • the present disclosure provides a computer device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the above-mentioned program when the processor executes the program How driving data is processed.
  • the present disclosure provides a computer-readable storage medium, where computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, are used to implement the above driving data processing method.
  • the present disclosure provides a computer program product, including a computer program, which implements the above driving data processing method when the computer program is executed by a processor.
  • the driving data processing method, device, device, storage medium and program product provided by the present disclosure include: acquiring target driving environment information corresponding to the driver, where the target driving environment information includes the historical driving data of the driver that meets a preset risk The driving environment information corresponding to the driving data of the conditions; obtain the current driving environment information of the driver's current itinerary; in the case that the current driving environment information matches the target driving environment information, output driving reminder information.
  • the target driving environment information corresponding to the driver is first obtained, and the target driving environment information includes the driving environment corresponding to the driving data satisfying the preset risk condition in the historical driving data of the driver.
  • the driving reminder information is output, so that more Accurate and more targeted driving reminders for different drivers improve the flexibility of driving reminders.
  • FIG. 1 is a schematic diagram of a driving data processing device provided by an embodiment of the present disclosure.
  • FIG. 2 is a schematic diagram of a method for processing driving data provided by an embodiment of the present disclosure.
  • FIG. 4 is a schematic flowchart of determining target driving environment information corresponding to a driver in an embodiment of the present disclosure.
  • FIG. 5 is a schematic diagram of an apparatus for processing driving data provided by an embodiment of the present disclosure.
  • FIG. 6 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure.
  • the words “if”, “if” as used herein may be interpreted as “at” or “when” or “in response to determining” or “in response to detecting”.
  • the phrases “if determined” or “if detected (the stated condition or event)” can be interpreted as “when determined” or “in response to determining” or “when detected (the stated condition or event),” depending on the context )” or “in response to detection (a stated condition or event)”.
  • user A with a high driving level can respond to the turn in time to pass the road section smoothly, while user B with a low driving level may not be able to respond in time and a safety accident may occur.
  • the existing driving assistance tools will simultaneously remind user A and user B to turn.
  • user A can respond to this kind of situation in time. Therefore, user A may not be reminded to turn to reduce unnecessary remind.
  • user C with an ordinary driving level can respond to the small pit in time to pass the road section smoothly, while user D with a low driving level may not be able to respond in time and a safety accident may occur. .
  • the existing driving assistance tool will not remind user C and user D.
  • user D since user D may not be able to respond in time, it is necessary to remind user D of the road conditions of this road section.
  • the existing road condition reminder method has the problem of low pertinence.
  • the driving data processing method, device, device, storage medium and program product provided by the present disclosure are intended to solve the above technical problems.
  • the present disclosure provides a driving data processing method, apparatus, device, storage medium and program product.
  • the target driving environment information corresponding to the driver is first obtained, and the target driving environment information includes the driving environment corresponding to the driving data satisfying the preset risk condition in the historical driving data of the driver. information.
  • the driving reminder information is output, so that more accurate and accurate driving information can be output. More targeted driving reminders for different drivers.
  • the processing steps of the driving data processing method in the present disclosure may be implemented by a terminal or a server.
  • the terminal can be specifically applied to driving assistance tools, such as advanced driver assistance systems (Advanced Driver Assistance Systems, ADAS) or driver monitoring systems (Driver Monitoring System, DMS) and the like.
  • driving assistance tools such as advanced driver assistance systems (Advanced Driver Assistance Systems, ADAS) or driver monitoring systems (Driver Monitoring System, DMS) and the like.
  • a driving data processing apparatus for executing the driving data processing method of the present disclosure.
  • FIG. 1 is a schematic diagram of a device for processing driving data provided by some embodiments of the present disclosure. As shown in FIG. 1 , the device includes:
  • the identification component 10 is used to identify the driver when the vehicle is started, and obtain the identification information of the driver.
  • the identity recognition component specifically includes a face recognition device or a fingerprint recognition device.
  • the identity recognition component when the identity recognition component is a face recognition device, the identity recognition component includes a processing device that stores a face recognition algorithm, and the processing device can recognize the image containing the driver's face through the face recognition algorithm, so as to obtain the driver's face recognition algorithm.
  • Identity Information The processing device can be connected with an ADAS camera or a DMS camera, so that the processing device can acquire the driver image captured by the ADAS camera or the DMS camera for face recognition.
  • the communication component 20 is used for communicating with the driver information management system, so as to realize the information interaction between the driving data processing device and the driver information management system.
  • the communication component 20 may be used to transmit the driver's identity information to the driver information management system.
  • the driver information management system refers to a system that manages various types of driving data of drivers.
  • the driver information management system is based on the historical driving data of different drivers and establishes corresponding driving files for each driver. Including the driver's identity information, such as name, ID number, face image, fingerprint image, etc.
  • the driving profile also includes the driver's historical driving data.
  • the driving file also saves target driving environment information corresponding to different drivers.
  • the target driving environment information includes the driving environment information that needs to remind the driver of driving.
  • the target driving environment information is obtained according to the historical driving data corresponding to the driver, and there may be differences between the target driving environment information corresponding to different drivers.
  • the driver information management system can specifically save the target driving environment information corresponding to each driver in the form of driving files. After receiving the driver's identity information sent by the driving data processing device, the driver information management system searches for the driver's corresponding information The target driving environment information corresponding to the driver is extracted from the driving file and sent to the driving data processing equipment.
  • the communication component 20 is further configured to receive the driver's target driving environment information issued by the driver information management system based on the identity information.
  • the driving environment acquiring component 30 is configured to acquire current driving environment information of the driver's current itinerary.
  • the road condition acquisition component specifically includes at least one of a vehicle-mounted camera, a vehicle-mounted lidar, a GPS (Global Positioning System, global positioning system) device, and the like.
  • the processor 40 is configured to compare and match the current driving environment information of the vehicle with the target driving environment information, and output a driving reminder instruction when the current driving environment information matches the target driving environment information.
  • the reminder component 50 is configured to output driving reminder information based on the driving reminder instruction output by the processor 40 .
  • the reminder component 50 may specifically include a display light, a display screen, an audio output device, and the like.
  • the driver state obtaining component 60 is used to obtain the current state information of the driver.
  • the processor 40 may also be connected with an on-board controller of the vehicle to acquire driving data of the vehicle.
  • Vehicle controllers specifically include vehicle controllers, gateway controllers, instrument controllers, etc.
  • the communication component 20 is further configured to send the identity information of the driver, the driving data of the driver, and the information in the trip of the driver to the vehicle after the current trip ends or during the driving process.
  • the driving environment information is sent to the driver information management system, so that the driver information management system can update the target driving environment information corresponding to the driver according to the above information, that is, update the driver's driving profile.
  • the driver information management system after updating the driver's driving profile according to the content sent by the driving data processing device, the driver information management system can also perform driving analysis according to the driver's driving profile.
  • the driving technique and driving habit of the driver can be evaluated, and the driving technique evaluation result and driving habit evaluation result corresponding to each driver can be obtained, thus,
  • the driver information management system can perform driving management of drivers based on the driving skill evaluation results and driving habit evaluation results of each driver, for example, assigning driving tasks and predicting accidents based on the driving skills and driving habits of each driver.
  • a driver's driving profile can also be used by an insurance company to design a fine-grained and targeted insurance plan for each driver, so as to obtain an insurance plan that is more suitable for each driver.
  • FIG. 2 is a schematic diagram of the driving data processing method provided by some embodiments of the present disclosure.
  • the driving data processing method is applied to the processing device shown in FIG. 1 as an example for explanation. As shown in FIG. 2 , the method mainly includes the following: step:
  • the processing device first acquires target driving environment information corresponding to the driver currently driving the vehicle.
  • the driving data satisfying the preset risk condition in the historical driving data specifically refers to the data that may affect the normal driving of the driver and cause driving risks for the driver.
  • the target driving environment information refers to For a driving environment where there is a driving risk for the driver, the target driving environment is a driving environment for which the driver needs to be reminded of driving.
  • S120 Acquire current driving environment information of the driver's current itinerary.
  • the processing device acquires the current driving environment information of the driver's current trip in real time.
  • the driving environment information includes at least one of the following: road condition information, weather information, lane line information, traffic sign information, and traffic signal light information.
  • road condition information refers to the technical conditions of existing road subgrades, pavements, structures and auxiliary facilities
  • weather information refers to current weather condition information, such as whether it is sunny, whether it is raining, etc.
  • lane line information, traffic sign information, The traffic signal information is the lane lines, traffic signs and traffic signals set on the driving road.
  • the processing device can use a camera such as a vehicle-mounted camera to capture the driving environment near the vehicle in real time, so as to acquire the image or video information of the current driving environment of the driver's current itinerary in real time.
  • a camera such as a vehicle-mounted camera
  • the processing device may also obtain the current geographic location of the vehicle through a GPS device, and then obtain the current driving environment information of the current geographic location through an electronic map or the like.
  • the processing device After obtaining the current driving environment information of the vehicle, the processing device compares the current driving environment information with the target driving environment information corresponding to the driver to determine whether the current driving environment information satisfies the target driving environment information corresponding to the driver.
  • the current driving environment information matches the target driving environment information, it means that the current driving environment information may affect the normal driving of the driver, and the driver needs to be reminded of the road conditions at this time. Therefore, when the current driving environment information matches the target driving environment information, driving reminder information is output, so as to play a role of reminding the driver of road conditions.
  • the current driving environment information belongs to the target driving environment information of user E, so user E needs to be reminded of driving; for user F, the current driving environment information The information does not belong to the target driving environment information of user F, so user F may not be reminded of driving.
  • This embodiment provides a method for processing driving data.
  • the vehicle When the vehicle is driving, first obtain target driving environment information corresponding to the driver, where the target driving environment information includes driving that meets preset risk conditions in the driver's historical driving data The driving environment information corresponding to the data.
  • the driving reminder information is output. , so that differentiated driving reminders can be provided to different drivers in a more accurate and targeted manner.
  • the process flow of acquiring the target driving environment information corresponding to the driver is explained.
  • FIG. 3 is a schematic flowchart of obtaining target driving environment information corresponding to a driver in an embodiment of the present disclosure. As shown in FIG. 3 , the processing flow includes:
  • S116 Receive target driving environment information corresponding to the driver issued by the driver information management system based on the identity information.
  • the processing device firstly identifies the driver to obtain the driver's identity information.
  • the identity recognition may specifically be face recognition or fingerprint recognition, so that the driver's identity information can be uniquely determined according to the face or fingerprint.
  • the processing device After obtaining the driver's identity information through face recognition or fingerprint recognition, the processing device sends the driver's identity information to the driver information management system, and the driver information management system stores the target driving environment information corresponding to different drivers. Therefore, the driver information management system queries the target driving environment information corresponding to the driver according to the driver's identity information, and sends the inquired target driving environment information corresponding to the driver to the processing device.
  • the processing device receives the target driving environment information obtained and issued by the driver information management system according to the identity information of the driver, and then executes the driving data processing method of the above embodiment of the present disclosure according to the target driving environment information.
  • the processing device communicates with the driver information management system based on the driver's identity information, so that the target driving environment information corresponding to the current driver can be accurately obtained, and then the driver's identity information can be accurately obtained. Get precise, more targeted driving reminders.
  • the process of determining the target driving environment information corresponding to the driver is explained, and the process can be specifically implemented by the driver information management system.
  • FIG. 4 is a schematic flowchart of determining target driving environment information corresponding to a driver in an embodiment of the present disclosure. As shown in FIG. 4 , the processing flow includes:
  • the driver information management system first obtains the driver's historical driving data, then filters the historical driving data according to the preset risk conditions, and determines the driving data that meets the preset risk conditions from the historical driving data, so that according to the historical driving data
  • the corresponding relationship between the driving data and the historical driving environment information can determine the target driving environment information corresponding to the driver.
  • the driver's historical driving data and historical driving environment information corresponding to the historical driving data are obtained through the advanced driving assistance system ADAS and/or the driver monitoring system DMS, so that the driver's information can be accurately obtained through ADAS and/or DMS.
  • Corresponding historical driving data and historical driving environment information corresponding to the historical driving data are used to accurately determine the target driving environment information corresponding to the driver.
  • the driver information management system also establishes a corresponding driver file for each driver according to the above method, so that the driver information management system can better manage the driver's driving information by means of one person and one gear. .
  • the driving data satisfying the preset risk condition includes at least one of the following: the first driving data when the driving speed is lower than the first threshold; the second driving data when the acceleration speed exceeds the second threshold data; third driving data when the speed of deceleration exceeds a third threshold; fourth driving data when the speed of change in the steering angle of the vehicle exceeds a fourth threshold; when the speed of the vehicle cutting lanes exceeds a fifth threshold the fifth driving data.
  • the first threshold may be, but not limited to, the average driving speed of the driver, or the average driving speed of all vehicles corresponding to the road.
  • the driving speed is lower than the first threshold, it can be considered that the driving speed of the driver when driving on the road is low. Therefore, the first driving data when the driving speed is lower than the first threshold can be determined to satisfy the preset Driving data for risky conditions.
  • the driving environment corresponding to the first driving data is specifically, for example, a pothole road.
  • the second driving data when the speed of acceleration exceeds the second threshold value can be determined as the driving data satisfying the preset risk condition .
  • the acceleration a1 during vehicle acceleration can be detected by the acceleration sensor of the vehicle, and compared with the preset second threshold a10. When a1>a10, it can be determined that the driver is currently driving with abrupt acceleration behavior. .
  • the acceleration a2 during vehicle deceleration can be detected by an acceleration sensor of the vehicle, and compared with a preset third threshold value a20.
  • a2>a20 it can be determined that the driver is currently driving with a sudden deceleration behavior.
  • the fourth driving data when the speed of change of the steering angle of the vehicle exceeds the fourth threshold can be determined as Driving data that meets preset risk conditions.
  • the change speed a3 of the steering angle when the vehicle is turning can be detected by an angle sensor of the vehicle, and compared with a preset fourth threshold value a30.
  • a3>a30 it can be determined that the driver is currently driving a sharp turn.
  • sharp turns can also be detected by computer vision techniques. For example, an image captured by a vehicle camera can be obtained, and AI (Artificial Intelligence) technology can be used to detect the change of the angle of view of the image, so as to obtain the turning situation of the vehicle, and then determine whether the driver is currently turning sharply.
  • AI Artificial Intelligence
  • the fifth driving data when the vehicle's lane-cutting speed exceeds the fifth threshold can be determined as satisfying the prediction. Driving data for risky conditions.
  • the vehicle's lane-changing information can be obtained through ADAS or on-board camera.
  • the vehicle's lane-cutting speed is obtained, and the vehicle's lane-cutting speed a4 is set with the preset speed.
  • the fifth threshold a40 is compared, and when a4>a40, it is determined that the driver is currently driving with a sharp lane change behavior.
  • the historical driving data includes at least one of the historical driving speed, the average driving speed, the historical rapid acceleration times, the historical rapid deceleration times, the historical rapid turning times or the historical rapid lane changes. Therefore, according to the above driving data, it is possible to obtain The driving habits of the driver can be accurately determined, so that the target driving environment information for the driver can be accurately determined, which can then help the driver to provide targeted driving reminder information.
  • the first driving data when the driving speed is lower than the first threshold value, the second driving data when the acceleration speed exceeds the second threshold value, and the deceleration speed when the speed exceeds the third threshold value At least one of the third driving data, the fourth driving data when the speed of change of the steering angle of the vehicle exceeds the fourth threshold value, and the fifth driving data when the speed of the vehicle cutting the lane exceeds the fifth threshold value is regarded as satisfying the pre-conditions.
  • the driving data of the driver with low driving speed, rapid acceleration, rapid deceleration, rapid turn, and rapid lane change can be screened, and then it can be determined that the driver has low driving speed, rapid acceleration, rapid The driving environment of sudden deceleration, sharp turn, and sudden lane change, so as to remind the driver of driving in a targeted manner.
  • the method further includes: in response to detecting that the driver enters the vehicle cabin and starts the vehicle, identifying the driver to obtain the driver's identity information; obtaining the driver's driving data and the itinerary of the driver's vehicle.
  • the driving environment information in the driver information management system upload the driver's identity information, the driver's driving data and the driving environment information in the driver's driving vehicle trip to the driver information management system; wherein, the driver information management system is based on the driver's driving
  • the data and the driving environment information in the trip of the driver's vehicle are updated to the target driving environment information corresponding to the driver, and the driving data of the driver, the driving environment information in the trip of the driver's vehicle, and the updated target driving are updated.
  • the environmental information is saved to the driver's corresponding driver file.
  • the processing device can obtain the driver's identity information by identifying the driver; then, the processing device obtains the driver's driving data and the itinerary of the driver's vehicle in real time. Finally, the processing device can upload the driver's identity information, the driver's driving data and the driving environment information of the driver's driving vehicle trip to the driver information management system in real time, or, after the trip ends , upload the driver's identity information, the driver's driving data and the driving environment information of the driver's driving vehicle to the driver's information management system, so that the driver's information management system can The driver profile is updated, and the driver profile is dynamically managed to improve real-time and accuracy.
  • driving reminder information is output, including at least one of the following:
  • the target driving environment information is the driving environment information corresponding to the first driving data, output driving speed reminder information;
  • the target driving environment information is the driving environment information corresponding to the second driving data, output the sudden acceleration reminder information;
  • the target driving environment information is the driving environment information corresponding to the third driving data, output a sudden deceleration reminder information
  • the target driving environment information is the driving environment information corresponding to the fourth driving data, output sharp turn reminder information;
  • the target driving environment information is the driving environment information corresponding to the fifth driving data
  • the sudden lane change warning information is output.
  • the processing device can output the corresponding driving reminder information to the driver based on the specific type of target driving environment information that matches the current driving environment information, so that the driver can know the current driving environment information more accurately, so as to make targeted driving to enhance driving safety.
  • the method further includes: obtaining current state information of the driver.
  • outputting driving reminder information includes: in the case where the current driving environment information matches the target driving environment information, in response to the current state of the driver being a preset Dangerous driving state, output driving reminder information.
  • the processing device can obtain the current state information of the driver by detecting the current driving state of the driver, and then determine whether the driving reminder information needs to be output based on whether the current state of the driver is a preset dangerous driving state.
  • the current state of the driver is the preset dangerous driving state
  • the driver is not currently driving the vehicle attentively, and may not be able to cope with the driving environment with driving risks, and is prone to driving accidents. Therefore, in the current driving environment information
  • it matches the target driving environment information and the driver's current state is a preset dangerous driving state it helps to improve driving safety by outputting driving reminder information.
  • the driver is currently in a state of driving the vehicle attentively, and can normally cope with a driving environment with driving risks, and is less likely to cause a driving accident due to distraction. Therefore, when the current driving environment information matches the target driving environment information, but the current state of the driver does not belong to the preset dangerous driving state, the driving reminder information may not be output to reduce interference to the driver.
  • the driving reminder when the driving reminder is performed, the driving reminder can be further combined with the current state of the driver, so that the driving reminder information can be provided to the driver in a more targeted manner, and the driving safety can be further improved.
  • the method further includes: acquiring current image data of the driver; and detecting the current state of the driver based on the current image data.
  • the processing device may perform state detection on the driver through the current image data of the driver, so as to obtain the current state information of the driver.
  • the current image data of the driver can be obtained through the vehicle camera, ADAS or DMS.
  • the driver's current image data can be input into a neural network for detecting the driver's state, so as to obtain a detection result of the driver's current state.
  • the processing device can accurately detect the current state of the driver, and then can determine whether to output driving reminder information to the driver according to whether the current state of the driver is a preset dangerous driving state.
  • the preset dangerous driving state includes at least one of the following: drinking water, talking on the phone, smoking, bowing your head, yawning, closing your eyes for a first preset time period, and a head offset angle exceeding a first The time when the angle threshold reaches the second preset duration, and the time when the line of sight deviation angle exceeds the second angle threshold reaches the third preset duration.
  • the driver drinks water, makes a phone call, smokes, bows his head, the time when the head deviation angle exceeds the first angle threshold reaches the second preset time period, and the time when the sight deviation angle exceeds the second angle threshold reaches the third preset time period.
  • actions such as time duration are set, it means that the driver is in a state of distracted driving, and a driving accident is likely to occur in a state of distracted driving. Therefore, the above actions can be classified as a dangerous driving state.
  • the driver when the driver performs actions such as yawning and the time when the eyes are closed reaches the first preset time period, it means that the driver is in a state of fatigued driving. In the state of fatigued driving, a driving accident is likely to occur. Therefore, the above actions can be used. classified as dangerous driving.
  • the processing device can further remind the driver in combination with the current state of the driver, so that the driver can be reminded more The driver is reminded of driving in a targeted manner to further improve driving safety.
  • a voice reminder, a light reminder, a text reminder, or an APP (Application, application program) reminder may be used, which is not limited herein.
  • the processing device may also assist the driver to perform vehicle driving, for example, control the speed reduction, etc. , so that on the basis of reminding the driver, the auxiliary control of the vehicle is performed to further ensure the driving safety.
  • an apparatus for processing driving data is provided.
  • FIG. 5 is a schematic diagram of an apparatus for processing driving data provided by an embodiment of the present disclosure. As shown in FIG. 5 , the apparatus includes:
  • the first obtaining module 110 is used to obtain the target driving environment information corresponding to the driver, and the target driving environment information includes the driving environment information corresponding to the driving data satisfying the preset risk condition in the historical driving data of the driver;
  • the second obtaining module 120 is configured to obtain the current driving environment information of the driver's current itinerary
  • the driving reminder module 130 is configured to output driving reminder information when the current driving environment information matches the target driving environment information.
  • Each module in the above-mentioned driving data processing device may be implemented in whole or in part by software, hardware and combinations thereof.
  • the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
  • the present disclosure provides a driving data processing device.
  • a driver drives a vehicle, first obtains target driving environment information corresponding to the driver, where the target driving environment information includes the historical driving data of the driver that satisfies a preset risk condition driving environment information corresponding to the driving data of Reminder information, so that driving reminders can be given to different drivers in a more accurate and targeted manner.
  • FIG. 6 is a schematic structural diagram of the computer device provided by an embodiment of the present disclosure. As shown in FIG. 6 , the computer device includes: a processor 100 and a memory 200 .
  • the memory 200 is used for storing programs and data, and the processor 100 invokes the program stored in the memory 200 to execute the method in any of the foregoing method embodiments.
  • the memory and the processor are directly or indirectly electrically connected to realize data transmission or interaction.
  • these elements can be electrically connected to each other through one or more communication buses or signal lines, such as can be connected through a bus.
  • the memory stores computer-executed instructions for implementing the data access control method, including at least one software function module that can be stored in the memory in the form of software or firmware, and the processor executes various software programs and modules by running the software programs and modules stored in the memory. Functional application and data processing.
  • the memory can be, but is not limited to, random access memory (Random Access Memory, RAM), read only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only Memory, PROM), erasable only memory Read memory (Erasable Programmable Read-Only Memory, EPROM), Electrical Erasable Programmable Read-Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
  • RAM Random Access Memory
  • ROM read only memory
  • PROM programmable read only memory
  • PROM Programmable Read-Only Memory
  • EPROM Erasable Programmable Read-Only Memory
  • Electrical Erasable Programmable Read-Only Memory Electrical Erasable Programmable Read-Only Memory
  • the processor may be an integrated circuit chip with signal processing capability.
  • the above-mentioned processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), and the like.
  • CPU Central Processing Unit
  • NP Network Processor
  • the disclosed methods, steps and logical block diagrams in the embodiments of the present disclosure can be implemented or executed.
  • a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • a computer-readable storage medium is provided, and computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, are used to implement the steps of each method embodiment of the present disclosure .
  • a computer program product including a computer program that, when executed by a processor, implements the above-mentioned method for processing driving data.
  • Nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory may include random access memory (RAM) or external cache memory.
  • RAM is available in various forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • SLDRAM synchronous chain Road (Synchlink) DRAM
  • SLDRAM synchronous chain Road (Synchlink) DRAM
  • Rambus direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM

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Abstract

本公开提供一种驾驶数据的处理方法、装置、设备、存储介质及程序产品。该方法包括：获取驾驶员对应的目标行驶环境信息；获取驾驶员的当前行程的当前行驶环境信息；在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息。

Description

驾驶数据的处理
相关申请的交叉引用
本公开要求于2020年12月31日提交的、申请号为202011641446.4的中国专利申请的优先权，该中国专利申请公开的全部内容以引用的方式并入本文中。
技术领域
本公开涉及智能交通技术领域，尤其涉及一种驾驶数据的处理方法、装置、设备、存储介质及程序产品。
背景技术
随着现代交通和汽车行业的快速发展，汽车保有量处于持续上升的状态，但是，交通事故的数量也在不断增加。驾驶员驾驶车辆时，路况的好坏是影响交通事故发生率的主要原因，当路况较差时，将会大大提高交通事故发生的几率。
通常，通过驾驶辅助工具采集路况，再基于路况的好坏对驾驶员进行路况提醒，以避免出现交通事故。
现有的驾驶辅助工具通常采用统一的判定标准来判定路况的好坏，然而，由于不同的驾驶员存在驾驶水平的差异，不同的驾驶员对于相同路况的应对能力存在差别，使得不同的驾驶员对于路况提醒的需求不一样，从而导致现有的路况提醒方法存在针对性较低的问题。
发明内容
本公开提供一种驾驶数据的处理方法、装置、设备、存储介质及程序产品，用以解决路况提醒针对性较低的问题。
第一方面，本公开提供一种驾驶数据的处理方法，包括：
获取驾驶员对应的目标行驶环境信息，所述目标行驶环境信息包括所述驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息；
获取所述驾驶员的当前行程的当前行驶环境信息；
在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息。
在一些实施例中，所述获取驾驶员对应的目标行驶环境信息，包括：
对所述驾驶员进行身份识别，得到所述驾驶员的身份信息；
将所述驾驶员的身份信息发送至驾驶员信息管理系统，所述驾驶员信息管理系统保存有一个或多个驾驶员对应的目标行驶环境信息；
接收所述驾驶员信息管理系统基于所述身份信息下发的所述驾驶员对应的目标行驶环境信息。
在一些实施例中，所述驾驶员对应的目标行驶环境信息是按照如下方式确定的：
获取所述驾驶员的历史驾驶数据，以及所述历史驾驶数据对应的历史行驶环境信息；
确定所述历史驾驶数据中满足预设风险条件的驾驶数据；
确定所述满足预设风险条件的驾驶数据对应的历史行驶环境信息为所述驾驶员对应的目标行驶环境信息；
基于所述驾驶员的历史驾驶数据.所述历史驾驶数据对应的历史行驶环境信息.所述满足预设风险条件的驾驶数据以及所述驾驶员对应的目标行驶环境信息，构建所述驾驶员对应的驾驶员档案。
在一些实施例中，所述驾驶员的历史驾驶数据以及所述历史驾驶数据对应的历史行驶环境信息通过高级辅助驾驶系统ADAS和/或驾驶员监控系统DMS得到。
在一些实施例中，所述满足预设风险条件的驾驶数据包括以下至少一项：
驾驶速度低于第一阈值的情况下的第一驾驶数据；
加速的速度超过第二阈值的情况下的第二驾驶数据；
减速的速度超过第三阈值的情况下的第三驾驶数据；
车辆的转向角的变化速度超过第四阈值的情况下的第四驾驶数据；
车辆切车道的速度超过第五阈值的情况下的第五驾驶数据。
在一些实施例中，所述方法还包括：
响应于检测到驾驶员进入车舱及启动车辆，对所述驾驶员进行身份识别，得到所述驾驶员的身份信息；
获取所述驾驶员的驾驶数据和所述驾驶员驾驶所述车辆的行程中的行驶环境信息；
将所述驾驶员的身份信息.所述驾驶员的驾驶数据和所述驾驶员驾驶所述车辆的行程中的行驶环境信息上传至驾驶员信息管理系统；其中，所述驾驶员信息管理系统根据所述驾驶员的驾驶数据和所述驾驶员驾驶所述车辆的行程中的行驶环境信息对所述驾驶员对应的目标行驶环境信息进行更新，并将所述驾驶员的驾驶数据.所述驾驶员驾驶所述车辆的行程中的行驶环境信息以及更新后的目标行驶环境信息保存至所述驾驶员对应的驾驶员档案。
在一些实施例中，所述行驶环境信息包括以下至少一项：路况信息.天气信息.车道线信息.交通标志信息.交通信号灯信息。
在一些实施例中，所述在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息，包括以下至少一项：
在所述目标行驶环境信息为所述第一驾驶数据对应的行驶环境信息时，输出驾驶速度提醒信息；
在所述目标行驶环境信息为所述第二驾驶数据对应的行驶环境信息时，输出急加速提醒信息；
在所述目标行驶环境信息为所述第三驾驶数据对应的行驶环境信息时，输出急减速提醒信息；
在所述目标行驶环境信息为所述第四驾驶数据对应的行驶环境信息时，输出急转弯提醒信息；
在所述目标行驶环境信息为所述第五驾驶数据对应的行驶环境信息时，输出急变道提醒信息。
在一些实施例中，还包括：
获取所述驾驶员的当前状态信息；
所述在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息，包括：
在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，响应于所述驾驶员的当前状态为预设的危险驾驶状态，输出驾驶提醒信息。
在一些实施例中，所述方法还包括：
获取所述驾驶员的当前影像数据；
基于所述当前影像数据检测所述驾驶员的当前状态。
在一些实施例中，所述预设的危险驾驶状态包括以下至少一项：喝水.打电话.吸烟.低头.打哈欠.眼睛闭合的时间达到第一预设时长.头部偏移角度超过第一角度阈值的时间达到第二预设时长.视线偏移角度超过第二角度阈值的时间达到第三预设时长。
第二方面，本公开提供一种驾驶数据的处理装置，包括：
第一获取模块，用于获取驾驶员对应的目标行驶环境信息，所述目标行驶环境信息包括所述驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息；
第二获取模块，用于获取所述驾驶员的当前行程的当前行驶环境信息；
驾驶提醒模块，用于在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息。
第三方面，本公开提供一种计算机设备，包括：存储器，处理器及存储在所述存储器上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程序时实现上述的驾驶数据的处理方法。
第四方面，本公开提供一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机执行指令，所述计算机执行指令被处理器执行时用于实现上述的驾驶数据的处理方法。
第五方面，本公开提供一种计算机程序产品，包括计算机程序，该计算机程序被处理器执行时实现上述的驾驶数据的处理方法。
本公开提供的驾驶数据的处理方法、装置、设备、存储介质及程序产品，该方法包括：获取驾驶员对应的目标行驶环境信息，目标行驶环境信息包括驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息；获取驾驶员的当前行程的当前行驶环境信息；在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息。本公开中，在驾驶员进行车辆驾驶时，首先获取该驾驶员对应的目标行驶环境信息，该目标行驶环境信息包括该驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息，在驾驶过程中，通过将当前行程的当前行驶环境信息与该目标行驶环境信息进行比对，在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息，从而，可以更准确、更有针对性地对不同的驾驶员进行驾驶提醒，提升了驾驶提醒的灵活性。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并与说明书一起用于解释本公开的原理。
图1为本公开实施例提供的驾驶数据的处理设备的示意图。
图2为本公开实施例提供的驾驶数据的处理方法的示意图。
图3为本公开实施例中获取驾驶员对应的目标行驶环境信息的流程示意图。
图4为本公开实施例中确定驾驶员对应的目标行驶环境信息的流程示意图。
图5为本公开实施例提供的驾驶数据的处理装置的示意图。
图6为本公开实施例提供的计算机设备的结构示意图。
通过上述附图，已示出本公开明确的实施例，后文中将有更详细的描述。这些附图和文字描述并不是为了通过任何方式限制本公开构思的范围，而是通过参考特定实施例为本领域技术人员说明本公开的概念。
具体实施方式
为使本公开实施例的目的和优点更加清楚，下面将结合本公开实施例中的附图，对本公开实施例进行描述，显然，所描述的实施例是本公开一部分实施例，而不是全部的实施例。基于本公开中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本公开保护的范围。
在本公开实施例中使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本公开。在本公开实施例中所使用的单数形式的“一种”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。
应当理解，本文中使用的术语“和/或”仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。
取决于语境，如在此所使用的词语“如果”、“若”可以被解释成为“在……时”或“当……时”或“响应于确定”或“响应于检测”。类似地，取决于语境，短语“如果确定”或“如果检测(陈述的条件或事件)”可以被解释成为“当确定时”或“响应于确定”或“当检测(陈述的条件或事件)时”或“响应于检测(陈述的条件或事件)”。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的商品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种商品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括要素的商品或者系统中还存在另外的相同要素。
现有的驾驶辅助工具通常采用统一的判定标准来判定路况的好坏，然而，由于不同的驾驶员存在驾驶水平的差异，不同的驾驶员对于相同路况的应对能力存在差别，使得不同的驾驶员对于路况提醒的需求不一样。
例如，对于包含转弯的某一路段，驾驶水平较高的用户A可以对该转弯及时反应从而顺利通过该路段，而驾驶水平较低的用户B可能无法及时反应从而可能出现安全事故。
对于该路段，现有的驾驶辅助工具会同时对用户A和用户B进行转弯提醒，然而，用户A对这一类情况可以及时反应，因此，可以不对用户A进行该转弯提醒以减少不必要的提醒。
又例如，对于包含较小坑的某一路段，普通驾驶水平的用户C可以对该较小坑及时反应从而顺利通过该路段，而驾驶水平较低的用户D可能无法及时反应从而可能出现安 全事故。
对于该路段，现有的驾驶辅助工具不会对用户C和用户D进行提醒，然而，由于用户D可能无法及时反应，因此，有必要对用户D进行该路段的路况提醒。
因此，现有的路况提醒方法存在针对性较低的问题。
本公开提供的驾驶数据的处理方法、装置、设备、存储介质及程序产品，旨在解决如上技术问题。本公开提供一种驾驶数据的处理方法、装置、设备、存储介质及程序产品。本公开中，在驾驶员进行车辆驾驶时，首先获取该驾驶员对应的目标行驶环境信息，该目标行驶环境信息包括该驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息。在驾驶过程中，通过将当前行程的当前行驶环境信息与该目标行驶环境信息进行比对，在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息，从而，可以更准确、更有针对性地对不同的驾驶员进行驾驶提醒。
下面以具体的实施例对本公开进行详细说明。下面这几个具体的实施例可以相互结合，对于相同或相似的概念或过程可能在某些实施例中不再赘述。下面将结合附图，对本公开的实施例进行描述。
可以理解，本公开中驾驶数据的处理方法的处理步骤可以由终端或者服务器实现。其中，终端具体可以应用于驾驶辅助工具，例如高级辅助驾驶系统(Advanced Driver Assistance Systems，ADAS)或者驾驶员监控系统(Driver Monitoring System，DMS)等。
在一些实施例中，提供一种驾驶数据的处理设备，该驾驶数据的处理设备用于执行本公开的驾驶数据的处理方法。
图1为本公开一些实施例提供的驾驶数据的处理设备的示意图，如图1所示，该设备包括：
身份识别组件10，用于在车辆启动时，对驾驶员进行身份识别，得到驾驶员的身份信息。身份识别组件具体包括人脸识别装置或者指纹识别装置等。
例如，当身份识别组件为人脸识别装置时，身份识别组件包括存储有人脸识别算法的处理装置，该处理装置可以通过人脸识别算法对包含驾驶员人脸的图像进行识别，从而得到驾驶员的身份信息。该处理装置可以和ADAS摄像头或者DMS摄像头连接，从而处理装置可以获取通过ADAS摄像头或者DMS摄像头拍摄的驾驶员图像，以进行人脸识别。
通信组件20，用于与驾驶员信息管理系统进行通信，以实现驾驶数据的处理设备与驾驶员信息管理系统的信息交互。例如，通信组件20可以用于将驾驶员的身份信息发送至驾驶员信息管理系统。
其中，驾驶员信息管理系统是指对驾驶员的各类驾驶数据进行管理的系统，该驾驶员信息管理系统基于不同驾驶员的历史驾驶数据，针对各驾驶员分别建立对应的驾驶档案，驾驶档案包括驾驶员的身份信息，例如姓名、身份证号码、人脸图像、指纹图像等。此外，驾驶档案也包括驾驶员的历史驾驶数据。另外，驾驶档案还保存有不同驾驶员对应的目标行驶环境信息。目标行驶环境信息包括需要对驾驶员进行驾驶提醒的行驶环境信息，目标行驶环境信息根据驾驶员对应的历史驾驶数据得到，不同驾驶员对应的目标行驶环境信息之间可以具有差异。驾驶员信息管理系统具体可以通过驾驶档案的形式保存各驾驶员对应的目标行驶环境信息，在接收到驾驶数据的处理设备发送的驾驶员的身份信息后，驾驶员信息管理系统查找该驾驶员对应的驾驶档案，从驾驶档案中提取该驾驶员对应的目标行驶环境信息，并下发至驾驶数据的处理设备。
相应的，通信组件20还用于接收驾驶员信息管理系统基于身份信息下发的驾驶员的目标行驶环境信息。
行驶环境获取组件30，用于获取驾驶员的当前行程的当前行驶环境信息。路况获取组件具体包括车载摄像头、车载激光雷达、GPS(Global Positioning System，全球定位系统)设备等中的至少一个。
处理器40，用于将车辆的当前行驶环境信息与目标行驶环境信息进行比对匹配，在当前行驶环境信息与目标行驶环境信息匹配时，输出驾驶提醒指令。
提醒组件50，用于基于处理器40输出的驾驶提醒指令输出驾驶提醒信息。提醒组件50具体可以包括显示灯、显示屏、音频输出设备等。
驾驶员状态获取组件60，用于获取驾驶员的当前状态信息。
可选的，处理器40还可以与车辆的车载控制器连接，以获取车辆的驾驶数据。车载控制器具体包括整车控制器、网关控制器、仪表控制器等。
可选的，通信组件20还用于在当前行程结束后或者在行驶过程中，将所述驾驶员的身份信息、所述驾驶员的驾驶数据和所述驾驶员驾驶所述车辆的行程中的行驶环境信息发送至驾驶员信息管理系统，以便于驾驶员信息管理系统根据上述信息对驾驶员对应的目标行驶环境信息进行更新，即对驾驶员的驾驶档案进行更新。
可以理解，本公开中，驾驶员信息管理系统根据驾驶数据的处理设备发送的内容对驾驶员的驾驶档案进行更新后，还可以根据驾驶员的驾驶档案进行驾驶分析。
例如，可以根据驾驶员的驾驶数据，以及目标行驶环境信息的数量及种类，对驾驶员进行驾驶技术以及驾驶习惯的评估，得到各驾驶员对应的驾驶技术评估结果以及驾驶习惯评估结果，从而，驾驶员信息管理系统可以基于各驾驶员的驾驶技术评估结果以及驾驶习惯评估结果进行驾驶员的驾驶管理，例如根据各驾驶员的驾驶技术以及驾驶习惯进行驾驶任务分配、事故预测等。
又例如，驾驶员的驾驶档案也可以用于保险公司对各驾驶员进行细颗粒度、有针对性的保险方案设计，从而得到的与各驾驶员更加匹配契合的保险方案。
在一些实施例中，提供一种驾驶数据的处理方法。图2为本公开一些实施例提供的驾驶数据的处理方法的示意图，以驾驶数据的处理方法应用于图1所示的处理设备为例进行解释说明，如图2所示，该方法主要包括以下步骤：
S110、获取驾驶员对应的目标行驶环境信息，目标行驶环境信息包括驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息。
具体的，处理设备首先获取当前驾驶车辆的驾驶员所对应的目标行驶环境信息。其中，历史驾驶数据中满足预设风险条件的驾驶数据具体是指对于该驾驶员而言，可能会影响该驾驶员的正常驾驶而导致存在驾驶风险的数据，对应的，目标行驶环境信息是指对于驾驶员而言存在驾驶风险的行驶环境，该目标行驶环境为需要对驾驶员进行驾驶提醒的行驶环境。
可以理解，对于不同的驾驶员，由于驾驶水平或者驾驶习惯的差异，不同驾驶员对应的目标行驶环境信息不同。
S120、获取驾驶员的当前行程的当前行驶环境信息。
在驾驶员驾驶车辆行进的过程中，处理设备实时获取驾驶员的当前行程的当前行驶环境信息。
可选的，行驶环境信息包括以下至少一项：路况信息、天气信息、车道线信息、交通标志信息、交通信号灯信息。其中，路况信息是指现有道路路基、路面、构造物及附属设施等的技术状况；天气信息即当前的天气状况信息，如是否为晴天，是否下雨等；车道线信息、交通标志信息、交通信号灯信息即行驶的道路上所设置的车道线、交通标示以及交通信号等。
处理设备在获取当前行驶环境信息时，可以通过车载摄像头等拍摄装置实时拍摄车辆附近的行驶环境，从而实时获取驾驶员的当前行程的当前行驶环境的图像或视频信息。
可选的，处理设备也可以通过GPS设备获取车辆的当前地理位置，然后通过电子地图等查询获取当前地理位置的当前行驶环境信息。
在得到车辆的当前行驶环境信息后，处理设备将当前行驶环境信息与驾驶员对应的目标行驶环境信息进行比对，以确定当前行驶环境信息是否满足驾驶员对应的目标行驶环境信息。
S130、在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息。
在当前行驶环境信息与目标行驶环境信息匹配的情况下，说明当前行驶环境信息可能会影响该驾驶员的正常驾驶，此时需要对该驾驶员进行路况提醒。从而，在当前行驶环境信息与目标行驶环境信息匹配时，输出驾驶提醒信息，以起到对驾驶员进行路况提醒的作用。
可以理解，由于不同驾驶员对应的目标行驶环境信息之间具有差异，在路况相同的情况下，对于不同的驾驶员，可能出现部分驾驶员提醒、部分驾驶员不提醒的情况。
例如，对于相同的当前行驶环境信息，对于用户E而言，该当前行驶环境信息属于用户E的目标行驶环境信息，因此需要对用户E进行驾驶提醒；而对于用户F而言，该当前行驶环境信息不属于用户F的目标行驶环境信息，因此可以不对用户F进行驾驶提醒。
本实施例提供一种驾驶数据的处理方法，在车辆行驶中，首先获取该驾驶员对应的目标行驶环境信息，该目标行驶环境信息包括该驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息，在驾驶过程中，通过将当前行程的当前行驶环境信息与该目标行驶环境信息进行比对，在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息，从而，可以更准确、更有针对性地对不同的驾驶员进行差异化的驾驶提醒。
在一些实施例中，对获取驾驶员对应的目标行驶环境信息的处理流程进行解释说明。
图3为本公开实施例中获取驾驶员对应的目标行驶环境信息的流程示意图，如图3所示，该处理流程包括：
S112、对驾驶员进行身份识别，得到驾驶员的身份信息。
S114、将驾驶员的身份信息发送至驾驶员信息管理系统，驾驶员信息管理系统保存有一个或多个驾驶员对应的目标行驶环境信息。
S116、接收驾驶员信息管理系统基于身份信息下发的驾驶员对应的目标行驶环境信息。
具体的，处理设备首先对驾驶员进行身份识别，以得到驾驶员的身份信息。身份识别具体可以是人脸识别或者指纹识别等，从而，根据人脸或者指纹可以唯一确定驾驶员的身份信息。
在通过人脸识别或者指纹识别得到驾驶员的身份信息后，处理设备将该驾驶员的身 份信息发送至驾驶员信息管理系统，驾驶员信息管理系统保存有不同驾驶员对应的目标行驶环境信息，从而，驾驶员信息管理系统根据该驾驶员的身份信息查询该驾驶员对应的目标行驶环境信息，并将查询到的该驾驶员对应的目标行驶环境信息下发至处理设备。
最后，处理设备接收驾驶员信息管理系统根据该驾驶员的身份信息查询得到并下发的目标行驶环境信息，接着，根据目标行驶环境信息执行本公开上述实施例的驾驶数据的处理方法。
本实施例中，处理设备通过对驾驶员进行身份识别，基于驾驶员的身份信息与驾驶员信息管理系统进行通信，从而可以准确得到当前驾驶员对应的目标行驶环境信息，进而可以对该驾驶员进行精确的、更有针对性的驾驶提醒。
在一些实施例中，对确定驾驶员对应的目标行驶环境信息的过程进行解释说明，该过程具体可以由驾驶员信息管理系统实现。
图4为本公开实施例中确定驾驶员对应的目标行驶环境信息的流程示意图，如图4所示，该处理流程包括：
S210、获取驾驶员的历史驾驶数据，以及历史驾驶数据对应的历史行驶环境信息；
S220、确定历史驾驶数据中满足预设风险条件的驾驶数据；
S230、确定满足预设风险条件的驾驶数据对应的历史行驶环境信息为驾驶员对应的目标行驶环境信息；
S240、基于驾驶员的历史驾驶数据、历史驾驶数据对应的历史行驶环境信息、满足预设风险条件的驾驶数据以及驾驶员对应的目标行驶环境信息，构建驾驶员对应的驾驶员档案。
具体的，驾驶员信息管理系统首先获取驾驶员的历史驾驶数据，然后根据预设风险条件对历史驾驶数据进行筛选，并从历史驾驶数据中确定满足预设风险条件的驾驶数据，从而，根据历史驾驶数据与历史行驶环境信息的对应关系，可以确定该驾驶员对应的目标行驶环境信息。
可选的，驾驶员的历史驾驶数据以及历史驾驶数据对应的历史行驶环境信息通过高级辅助驾驶系统ADAS和/或驾驶员监控系统DMS得到，从而，通过ADAS和/或DMS可以准确得到驾驶员所对应的历史驾驶数据以及历史驾驶数据对应的历史行驶环境信息，从而准确确定该驾驶员对应的目标行驶环境信息。
此外，驾驶员信息管理系统还根据以上方法，针对每个驾驶员都建立相应的驾驶员档案，从而，驾驶员信息管理系统可以通过一人一档的方式更好地对驾驶员的驾驶信息进行管理。
在一些实施例中，满足预设风险条件的驾驶数据包括以下至少一项：驾驶速度低于第一阈值的情况下的第一驾驶数据；加速的速度超过第二阈值的情况下的第二驾驶数据；减速的速度超过第三阈值的情况下的第三驾驶数据；车辆的转向角的变化速度超过第四阈值的情况下的第四驾驶数据；车辆切车道的速度超过第五阈值的情况下的第五驾驶数据。
其中，(1)第一阈值可以但不局限于是驾驶员的平均驾驶速度，或者道路对应的所有车辆的平均驾驶速度。当驾驶速度低于该第一阈值时，可以认为驾驶员在该道路驾驶时的驾驶速度较低，因此，可以将驾驶速度低于第一阈值的情况下的第一驾驶数据确定为满足预设风险条件的驾驶数据。第一驾驶数据对应的行驶环境具体例如坑洼路面等。
(2)在加速的速度超过第二阈值时，可以认为存在急加速的情况，因此，可以将加 速的速度超过第二阈值的情况下的第二驾驶数据确定为满足预设风险条件的驾驶数据。
在检测急加速行为时，可以通过车辆的加速度传感器检测车辆加速时的加速度a1，并与预先设定的第二阈值a10进行比较，当a1>a10时，可以判定驾驶员当前驾驶存在急加速行为。
(3)在减速的速度超过第三阈值时，可以认为驾驶员存在急减速的情况，因此，可以将减速的速度超过第三阈值的情况下的第三驾驶数据确定为满足预设风险条件的驾驶数据。
在检测急减速行为时，可以通过车辆的加速度传感器检测车辆减速时的加速度a2，并与预先设定的第三阈值a20进行比较。当a2>a20时，可以判定驾驶员当前驾驶存在急减速行为。
此外，也可以通过获取刹车踏板开度变化率来判断车辆是否处于急减速状态。刹车踏板开度在时长t1内的变化为p1时，则刹车踏板开度变化率ω1＝p1/t1。在得到ω1后，将ω1与预设的刹车踏板开度变化率ω10进行比较，当ω1＞ω10时，判定驾驶员当前驾驶存在急减速行为。
(4)在车辆的转向角的变化速度超过第四阈值时，可以认为存在急转弯的情况，因此，可以将车辆的转向角的变化速度超过第四阈值的情况下的第四驾驶数据确定为满足预设风险条件的驾驶数据。
在检测急转弯行为时，可以通过车辆的角度传感器检测车辆转弯时转向角的变化速度a3，并与预先设定的第四阈值a30进行比较。当a3>a30时，可以判定驾驶员当前驾驶存在急转弯行为。
此外，也可以通过计算机视觉技术检测急转弯。例如，可以获取车载摄像头拍摄的图像，并通过AI(Artificial Intelligence，人工智能)技术检测图像的视角的变化情况，从而得到车辆的转弯情况，进而确定驾驶员当前是否存在急转弯行为。
(5)在车辆切车道的速度超过第五阈值时，可以认为驾驶员存在急变道的情况，因此，可以将车辆切车道的速度超过第五阈值的情况下的第五驾驶数据确定为满足预设风险条件的驾驶数据。
在检测急变道行为时，可以通过ADAS或者车载摄像头获取车辆的变道信息，当检测到车辆正在执行变道操作时，获取车辆切车道的速度，并将车辆切车道的速度a4与预先设定的第五阈值a40进行比较，当a4>a40时，判定驾驶员当前驾驶存在急变道行为。
本实施例中，历史驾驶数据包括历史驾驶速度、平均驾驶速度、历史急加速次数、历史急减速次数、历史急转弯次数或者历史急变道次数中的至少一种，从而，根据上述驾驶数据可以得到驾驶员的驾驶习惯，从而可以准确确定对于驾驶员而言的目标行驶环境信息，进而可以有助于对驾驶员进行针对性的驾驶提醒信息。
本实施例中，通过将驾驶速度低于第一阈值的情况下的第一驾驶数据、加速的速度超过第二阈值的情况下的第二驾驶数据、减速的速度超过第三阈值的情况下的第三驾驶数据、车辆的转向角的变化速度超过第四阈值的情况下的第四驾驶数据、车辆切车道的速度超过第五阈值的情况下的第五驾驶数据中的至少一种作为满足预设风险条件的驾驶数据，从而可以对驾驶员存在驾驶速度较低、急加速、急减速、急转弯、急变道的驾驶数据进行筛选，进而，可以确定驾驶员存在驾驶速度较低、急加速、急减速、急转弯、急变道的行驶环境，从而有针对性的对驾驶员进行驾驶提醒。
在一些实施例中，方法还包括：响应于检测到驾驶员进入车舱及启动车辆，对驾驶员进行身份识别，得到驾驶员的身份信息；获取驾驶员的驾驶数据和驾驶员驾驶车辆的行程中的行驶环境信息；将驾驶员的身份信息、驾驶员的驾驶数据和驾驶员驾驶车辆的行程中的行驶环境信息上传至驾驶员信息管理系统；其中，驾驶员信息管理系统根据驾驶员的驾驶数据和驾驶员驾驶车辆的行程中的行驶环境信息对驾驶员对应的目标行驶环境信息进行更新，并将驾驶员的驾驶数据、驾驶员驾驶车辆的行程中的行驶环境信息以及更新后的目标行驶环境信息保存至驾驶员对应的驾驶员档案。
具体的，处理设备在检测到驾驶员进行车辆驾驶动作之后，可以通过对驾驶员进行身份识别以得到驾驶员的身份信息；然后，处理设备实时获取驾驶员的驾驶数据和驾驶员驾驶车辆的行程中的行驶环境信息；最后，处理设备可以实时将驾驶员的身份信息、驾驶员的驾驶数据和驾驶员驾驶车辆的行程中的行驶环境信息上传至驾驶员信息管理系统，或者，在行程结束后，将驾驶员的身份信息、驾驶员的驾驶数据和驾驶员驾驶车辆的行程中的行驶环境信息上传至驾驶员信息管理系统，从而，驾驶员信息管理系统可以根据上传的最新数据对驾驶员的驾驶员档案进行更新，动态地管理驾驶员档案，提升实时性和准确性。
在一些实施例中，在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息，包括以下至少一项：
在目标行驶环境信息为第一驾驶数据对应的行驶环境信息时，输出驾驶速度提醒信息；
在目标行驶环境信息为第二驾驶数据对应的行驶环境信息时，输出急加速提醒信息；
在目标行驶环境信息为第三驾驶数据对应的行驶环境信息时，输出急减速提醒信息；
在目标行驶环境信息为第四驾驶数据对应的行驶环境信息时，输出急转弯提醒信息；
在目标行驶环境信息为第五驾驶数据对应的行驶环境信息时，输出急变道提醒信息。
具体的，处理设备可以基于与当前行驶环境信息匹配的目标行驶环境信息的具体类型，向驾驶员输出对应的驾驶提醒信息，从而使得驾驶员可以更准确地知晓当前行驶环境信息，从而进行针对性的驾驶，以提升驾驶安全。
在一些实施例中，方法还包括：获取驾驶员的当前状态信息。
对应的，在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息，包括：在当前行驶环境信息与目标行驶环境信息匹配的情况下，响应于驾驶员的当前状态为预设的危险驾驶状态，输出驾驶提醒信息。
具体的，处理设备可以通过对驾驶员的当前驾驶状态进行检测，以得到驾驶员的当前状态信息，然后基于驾驶员的当前状态是否为预设的危险驾驶状态来确定是否需要输出驾驶提醒信息。
其中，当驾驶员的当前状态为预设的危险驾驶状态，说明驾驶员当前未处于专心驾驶车辆的状态，可能无法应对存在驾驶风险的行驶环境，容易出现驾驶事故，因此，在当前行驶环境信息与目标行驶环境信息匹配、且驾驶员的当前状态为预设的危险驾驶状态的情况下，通过输出驾驶提醒信息，帮助提升驾驶安全。
另外，在驾驶员的当前状态不属于预设的危险驾驶状态的情况下，驾驶员当前正处于专心驾驶车辆的状态，可以正常应对存在驾驶风险的行驶环境，不易因分心出现驾驶事故。因此，在当前行驶环境信息与目标行驶环境信息匹配、但是驾驶员的当前状态不属于预设的危险驾驶状态的情况下，可以不输出驾驶提醒信息，以减少对驾驶员的 干扰。
本实施例中，在进行驾驶提醒时，可以进一步结合驾驶员的当前状态进行驾驶提醒，从而可以更有针对性地对驾驶员进行驾驶提醒信息，进一步提升驾驶安全。
在一些实施例中，方法还包括：获取驾驶员的当前影像数据；基于当前影像数据检测驾驶员的当前状态。
具体的，处理设备可以通过驾驶员的当前影像数据来对驾驶员进行状态检测，从而得到驾驶员的当前状态信息。其中，驾驶员的当前影像数据可以通过车载摄像头、ADAS或者DMS得到。可以将驾驶员的当前影像数据输入至用于检测驾驶员状态的神经网络，以得到驾驶员的当前状态的检测结果。
从而，通过驾驶员的当前影像数据，处理设备可以准确检测驾驶员的当前状态，继而可以根据驾驶员的当前状态是否为预设的危险驾驶状态来确定是否向驾驶员输出驾驶提醒信息。
在一些实施例中，预设的危险驾驶状态包括以下至少一项：喝水、打电话、吸烟、低头、打哈欠、眼睛闭合的时间达到第一预设时长、头部偏移角度超过第一角度阈值的时间达到第二预设时长、视线偏移角度超过第二角度阈值的时间达到第三预设时长。
其中，当驾驶员存在喝水、打电话、吸烟、低头、头部偏移角度超过第一角度阈值的时间达到第二预设时长、视线偏移角度超过第二角度阈值的时间达到第三预设时长等动作时，说明驾驶员处于分心驾驶的状态，在分心驾驶的状态下，容易出现驾驶事故，因此，可以将上述动作归为危险驾驶状态。
此外，当驾驶员存在打哈欠、眼睛闭合的时间达到第一预设时长等动作时，说明驾驶员处于疲劳驾驶的状态，在疲劳驾驶的状态下，容易出现驾驶事故，因此，可以将上述动作归为危险驾驶状态。
本实施例中，通过将容易出现驾驶事故的状态设定为预设的危险驾驶状态，在对驾驶员进行车辆驾驶提醒时，处理设备可以进一步结合驾驶员的当前状态进行驾驶提醒，从而可以更有针对性地对驾驶员进行驾驶提醒，进一步提升驾驶安全。
在一些实施例中，在输出驾驶提醒信息时，可以采用语音提醒、灯光提醒、文字提醒或者APP(Application，应用程序)提醒等方式实现，在此不做限定。
在一些实施例中，在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，处理设备除了输出驾驶提醒信息之外，还可以辅助驾驶员执行车辆驾驶，例如，控制车速降低等，从而，在对驾驶员进行提醒的基础上，通过进行车辆的辅助控制，进一步保证驾驶安全。
应该理解的是，虽然上述实施例中的流程图中的各个步骤按照箭头的指示依次显示，但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，其可以以其他的顺序执行。而且，图中的至少一部分步骤可以包括多个子步骤或者多个阶段，这些子步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，其执行顺序也不必然是依次进行，而是可以与其他步骤或者其他步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。
在一些实施例中，提供一种驾驶数据的处理装置。
图5为本公开实施例提供的驾驶数据的处理装置的示意图，如图5所示，该装置包括：
第一获取模块110，用于获取驾驶员对应的目标行驶环境信息，目标行驶环境信 息包括驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息；
第二获取模块120，用于获取驾驶员的当前行程的当前行驶环境信息；
驾驶提醒模块130，用于在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息。
关于驾驶数据的处理装置的具体限定可以参见上文中对于驾驶数据的处理方法的限定，在此不再赘述。上述驾驶数据的处理装置中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中，也可以以软件形式存储于计算机设备中的存储器中，以便于处理器调用执行以上各个模块对应的操作。
本公开提供一种驾驶数据的处理装置，在驾驶员进行车辆驾驶时，首先获取该驾驶员对应的目标行驶环境信息，该目标行驶环境信息包括该驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息，在驾驶过程中，通过将当前行程的当前行驶环境信息与该目标行驶环境信息进行比对，在当前行驶环境信息与目标行驶环境信息匹配的情况下，输出驾驶提醒信息，从而，可以更准确、更有针对性地对不同的驾驶员进行驾驶提醒。
在一些实施例中，提供一种计算机设备，图6为本公开实施例提供的计算机设备的结构示意图，如图6所示，该计算机设备，包括：处理器100以及存储器200。
其中，存储器200用于存储程序和数据，处理器100调用存储器200存储的程序，以执行前述任一方法实施例中的方法。
在上述计算机设备中，存储器和处理器之间直接或间接地电性连接，以实现数据的传输或交互。例如，这些元件相互之间可以通过一条或者多条通信总线或信号线实现电性连接，如可以通过总线连接。存储器中存储有实现数据访问控制方法的计算机执行指令，包括至少一个可以软件或固件的形式存储于存储器中的软件功能模块，处理器通过运行存储在存储器内的软件程序以及模块，从而执行各种功能应用以及数据处理。
存储器可以是，但不限于，随机存取存储器(Random Access Memory，RAM)，只读存储器(Read Only Memory，ROM)，可编程只读存储器(Programmable Read-Only Memory，PROM)，可擦除只读存储器(Erasable Programmable Read-Only Memory，EPROM)，电可擦除只读存储器(Electric Erasable Programmable Read-Only Memory，EEPROM)等。其中，存储器用于存储程序，处理器在接收到执行指令后，执行程序。进一步地，上述存储器内的软件程序以及模块还可包括操作系统，其可包括各种用于管理系统任务(例如内存管理、存储设备控制、电源管理等)的软件组件和/或驱动，并可与各种硬件或软件组件相互通信，从而提供其他软件组件的运行环境。
处理器可以是一种集成电路芯片，具有信号的处理能力。上述的处理器可以是通用处理器，包括中央处理器(Central Processing Unit，CPU)、网络处理器(Network Processor，NP)等。可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。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。
在一些实施例中，提供一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机执行指令，所述计算机执行指令被处理器执行时用于实现本公开各方法实施例的步骤。
在一些实施例中，提供一种计算机程序产品，包括计算机程序，该计算机程序被处理器执行时实现上述的驾驶数据的处理方法。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可 以通过计算机程序来指令相关的硬件来完成，计算机程序可存储于一非易失性计算机可读取存储介质中，该计算机程序在执行时，可包括如上述各方法的实施例的流程。其中，本公开所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。
本领域技术人员在考虑说明书及实践这里公开的申请后，将容易想到本公开的其它实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求书指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求书来限制。

Claims (15)

  1. 一种驾驶数据的处理方法，其特征在于，包括：
    获取驾驶员对应的目标行驶环境信息，所述目标行驶环境信息包括所述驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息；
    获取所述驾驶员的当前行程的当前行驶环境信息；
    在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息。
  2. 根据权利要求1所述的方法，其特征在于，所述获取驾驶员对应的目标行驶环境信息，包括：
    对所述驾驶员进行身份识别，得到所述驾驶员的身份信息；
    将所述驾驶员的身份信息发送至驾驶员信息管理系统，所述驾驶员信息管理系统保存有一个或多个驾驶员对应的目标行驶环境信息；
    接收所述驾驶员信息管理系统基于所述身份信息下发的所述驾驶员对应的目标行驶环境信息。
  3. 根据权利要求1或2所述的方法，其特征在于，所述驾驶员对应的目标行驶环境信息是按照如下方式确定的：
    获取所述驾驶员的历史驾驶数据，以及所述历史驾驶数据对应的历史行驶环境信息；
    确定所述历史驾驶数据中满足预设风险条件的驾驶数据；
    确定所述满足预设风险条件的驾驶数据对应的历史行驶环境信息为所述驾驶员对应的目标行驶环境信息；
    基于所述驾驶员的历史驾驶数据、所述历史驾驶数据对应的历史行驶环境信息、所述满足预设风险条件的驾驶数据以及所述驾驶员对应的目标行驶环境信息，构建所述驾驶员对应的驾驶员档案。
  4. 根据权利要求3所述的方法，其特征在于，所述驾驶员的历史驾驶数据以及所述历史驾驶数据对应的历史行驶环境信息通过高级辅助驾驶系统ADAS和/或驾驶员监控系统DMS得到。
  5. 根据权利要求3所述的方法，其特征在于，所述满足预设风险条件的驾驶数据包括以下至少一项：
    驾驶速度低于第一阈值的情况下的第一驾驶数据；
    加速的速度超过第二阈值的情况下的第二驾驶数据；
    减速的速度超过第三阈值的情况下的第三驾驶数据；
    车辆的转向角的变化速度超过第四阈值的情况下的第四驾驶数据；
    车辆切车道的速度超过第五阈值的情况下的第五驾驶数据。
  6. 根据权利要求3所述的方法，其特征在于，所述方法还包括：
    响应于检测到所述驾驶员进入车舱及启动车辆，对所述驾驶员进行身份识别，得到所述驾驶员的身份信息；
    获取所述驾驶员的驾驶数据和所述驾驶员驾驶所述车辆的行程中的行驶环境信息；
    将所述驾驶员的身份信息、所述驾驶员的驾驶数据和所述驾驶员驾驶所述车辆的行程中的行驶环境信息上传至驾驶员信息管理系统；其中，所述驾驶员信息管理系统根据所述驾驶员的驾驶数据和所述驾驶员驾驶所述车辆的行程中的行驶环境信息对所述驾驶员对应的目标行驶环境信息进行更新，并将所述驾驶员的驾驶数据、所述驾驶员驾驶所述车辆的行程中的行驶环境信息以及更新后的目标行驶环境信息保存至所述驾驶员对应的驾驶员档案。
  7. 根据权利要求1或2所述的方法，其特征在于，所述行驶环境信息包括以下至 少一项：路况信息、天气信息、车道线信息、交通标志信息、交通信号灯信息。
  8. 根据权利要求5所述的方法，其特征在于，所述在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息，包括以下至少一项：
    在所述目标行驶环境信息为所述第一驾驶数据对应的行驶环境信息时，输出驾驶速度提醒信息；
    在所述目标行驶环境信息为所述第二驾驶数据对应的行驶环境信息时，输出急加速提醒信息；
    在所述目标行驶环境信息为所述第三驾驶数据对应的行驶环境信息时，输出急减速提醒信息；
    在所述目标行驶环境信息为所述第四驾驶数据对应的行驶环境信息时，输出急转弯提醒信息；
    在所述目标行驶环境信息为所述第五驾驶数据对应的行驶环境信息时，输出急变道提醒信息。
  9. 根据权利要求1或2所述的方法，其特征在于，还包括：
    获取所述驾驶员的当前状态信息；
    所述在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息，包括：
    在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，响应于所述驾驶员的当前状态为预设的危险驾驶状态，输出驾驶提醒信息。
  10. 根据权利要求9所述的方法，其特征在于，所述方法还包括：
    获取所述驾驶员的当前影像数据；
    基于所述当前影像数据检测所述驾驶员的当前状态，得到所述驾驶员的当前状态信息。
  11. 根据权利要求9所述的方法，其特征在于，所述预设的危险驾驶状态包括以下至少一项：喝水、打电话、吸烟、低头、打哈欠、眼睛闭合的时间达到第一预设时长、头部偏移角度超过第一角度阈值的时间达到第二预设时长、视线偏移角度超过第二角度阈值的时间达到第三预设时长。
  12. 一种驾驶数据的处理装置，其特征在于，包括：
    第一获取模块，用于获取驾驶员对应的目标行驶环境信息，所述目标行驶环境信息包括所述驾驶员的历史驾驶数据中满足预设风险条件的驾驶数据对应的行驶环境信息；
    第二获取模块，用于获取所述驾驶员的当前行程的当前行驶环境信息；
    驾驶提醒模块，用于在所述当前行驶环境信息与所述目标行驶环境信息匹配的情况下，输出驾驶提醒信息。
  13. 一种计算机设备，其特征在于，包括：存储器，处理器及存储在所述存储器上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程序时实现如上述权利要求1-11任一项所述的驾驶数据的处理方法。
  14. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质中存储有计算机执行指令，所述计算机执行指令被处理器执行时用于实现如权利要求1-11任一项所述的驾驶数据的处理方法。
  15. 一种计算机程序产品，包括计算机程序，其特征在于，该计算机程序被处理器执行时实现如权利要求1-11任一项所述的驾驶数据的处理方法。
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