Driving attention information processing method, device, equipment, system, vehicle and storage medium

Abstract

The invention provides a driving attention information processing method, device, equipment and system, a vehicle and a storage medium. The method comprises the following steps: receiving sight data of a driver; determining a sight falling point area of the driver according to the sight data; receiving position information of the vehicle; calculating a driving direction and a driving speed; determining a current attention score based on a predetermined mapping relation according to the sight drop point area, the driving direction and the driving speed; determining alarm triggering information according to the current attention score, the historical attention score and the concentrated driving degree value; according to the number of the scoring periods in the current journey, the attention score in each scoring period and the concentrated driving degree value, determining a journey driving attention total score; and determining a current concentrated driving degree value according to the previous concentrated driving degree value, the historical journey driving attention total score and the current journey driving attention total score. The driving attention of a driver can be monitored, and the accident rate is reduced.

Description

Technical Field

[0001] Embodiments of the present invention generally relate to the field of safe driving assistance technology, and more specifically, to a method, device, equipment, system, vehicle and storage medium for processing driving attention information. Background Art

[0002] With the development of transportation, the frequency and number of traffic accidents are also increasing. According to statistics from the Ministry of Transport, in 2021, China has 400 million motor vehicles, 481 million motor vehicle drivers, 61,703 deaths and 250,723 injuries due to traffic safety accidents. More minor accidents such as traffic scratches occur. The main causes of traffic accidents are: drivers are not paying attention, distracted or fatigued. And with the popularization of intelligent devices, drivers watching mobile phones, watching videos, playing games, etc. while driving have also become the cause of traffic accidents.

[0003] Therefore, improving the driver's concentration during driving and ensuring safe driving have become issues that need to be urgently addressed.

[0004] At present, most car models do not actively monitor the driver's driving status. Existing driver driving status monitoring solutions are often costly, highly integrated, difficult to expand, usually dependent on the car computer, cannot operate independently, and cannot be widely applied to existing models. Summary of the invention

[0005] In order to solve the above-mentioned problems in the prior art, in a first aspect, an embodiment of the present invention provides a driving attention information processing method, the method comprising: receiving the driver's line of sight data from a human eye line of sight acquisition device; determining the line of sight landing area of ​​the driver's line of sight in multiple visual areas of the vehicle according to the line of sight data; receiving the position information of the vehicle from a positioning recording device; calculating the driving direction and driving speed of the vehicle according to the position information; according to the line of sight landing area, the driving direction and the driving speed, based on a predetermined mapping relationship between the line of sight landing area, the driving direction, the driving speed and the attention score, determining the current attention score of the current scoring period in the current trip with a preset scoring period; according to the current attention score, the historical attention score in a specific historical scoring period of the current trip and the driver's attentive driving degree value, Determine alarm trigger information, the alarm trigger information includes whether to trigger an alarm, and in the case that the alarm trigger information is to trigger an alarm, send an alarm signal to an alarm device; determine a total driving attention score for the current trip according to the number of scoring periods in the current trip, the attention score in each scoring period in the current trip, and the attentive driving level value, wherein the total driving attention score for the trip is positively correlated with the attentive driving level value and the value of the attention score in each scoring period; determine a current driving attention level value according to a previous driving attention level value, the total driving attention score for a historical trip, and the total driving attention score for the current trip, wherein the current driving attention level value is positively correlated with the total driving attention score for the current trip and negatively correlated with the standard deviation of the total driving attention score for the historical trip.

[0006] In some embodiments, the method further includes one or more of the following steps: setting a scoring period for the current trip according to the driver's driving concentration level; shortening the scoring period when the number of alarms triggered in the current trip exceeds a predefined alarm number threshold; shortening the scoring period when the frequency of alarms triggered in the current trip exceeds a predefined alarm frequency threshold; extending the scoring period when the attention score within a first predetermined number of consecutive scoring periods in the current trip exceeds a predefined first score threshold.

[0007] In some embodiments, determining the alarm trigger information based on the current attention score, the historical attention scores within a specific historical scoring cycle of the current trip, and the driver's attentive driving level value includes: determining that the alarm trigger information is a trigger alarm when the attention scores in the current scoring cycle and a second predetermined number of scoring cycles before it continuously decrease by more than a second score threshold; and / or determining that the alarm trigger information is a trigger alarm when the total score of the attention scores in the current scoring cycle and a third predetermined number of scoring cycles before it is lower than a third score threshold.

[0008] In some embodiments, the alarm trigger information also includes an alarm level, and the method also includes determining the alarm level based on one or more of the following: the value of continuous deductions in the current scoring cycle and the second predetermined number of scoring cycles before it; the number of cycles in which continuous deductions occur in the current scoring cycle and the scoring cycle before it; the sum of the attention scores of the current scoring cycle and the third predetermined number of scoring cycles before it.

[0009] In some embodiments, the method further includes: determining a level of attentive driving according to a numerical range of the attentive driving value; and determining the second predetermined number, the second score threshold, the third predetermined number, and the third score threshold, respectively, for different levels of attentive driving.

[0010] In a second aspect, an embodiment of the present invention proposes a driving attention information processing device, the device comprising: a line of sight data receiving module, configured to receive the driver's line of sight data from a human eye line of sight acquisition device; a line of sight landing point determination module, configured to determine the line of sight landing point area of ​​the driver's line of sight in multiple visual areas of the vehicle based on the line of sight data; a position information receiving module, configured to receive the position information of the vehicle from a positioning recording device; a driving data calculation module, configured to calculate the driving direction and driving speed of the vehicle based on the position information; an attention scoring module, configured to determine the current attention score of the current scoring period in the current trip based on the line of sight landing point area, the driving direction and the driving speed, based on a predetermined mapping relationship between the line of sight landing point area, the driving direction, the driving speed and the attention score, with a preset scoring period; an alarm judgment module, configured to determine the current attention score of the current scoring period in the current trip based on the current attention score, the historical attention score within a specific historical scoring period of the current trip The module is configured to determine the total driving attention score of the current trip according to the number of scoring cycles in the current trip, the attention score in each scoring cycle in the current trip, and the driving attention level value, wherein the total driving attention score of the trip is positively correlated with the driving attention level value and the value of the attention score in each scoring cycle; the driving attention level determination module is configured to determine the current driving attention level value according to the previous driving attention level value, the driving attention level total score of the historical trips, and the driving attention level total score of the current trip, wherein the current driving attention level value is positively correlated with the driving attention level total score of the current trip and negatively correlated with the standard deviation of the driving attention level total score of the historical trips.

[0011] In the third aspect, an embodiment of the present invention proposes a driving attention information processing device, which includes a memory and a processor, and a computer program is stored in the memory. When the computer program is executed by the processor, the driving attention information processing method described in any of the above embodiments is implemented.

[0012] In the fourth aspect, the embodiment of the present invention proposes a driving attention information processing system, the system includes a human eye sight acquisition device, a positioning recording device, an alarm device and a driving attention information processing device described in the above embodiment. Among them, the human eye sight acquisition device is used to collect the driver's sight data and transmit the sight data to the driving attention information processing device; the positioning recording device is used to record the location information of the vehicle and transmit the location information to the driving attention information processing device; the alarm device is used to receive an alarm signal from the driving attention information processing device and perform an alarm according to the alarm signal.

[0013] In a fifth aspect, an embodiment of the present invention provides a vehicle, wherein the vehicle includes a driving attention information processing system described according to the above embodiment.

[0014] In a sixth aspect, an embodiment of the present invention proposes a storage medium storing computer-readable instructions, which, when executed by a processor, executes a method for processing driving attention information described in any of the above embodiments.

[0015] The driving attention information processing method, device, equipment, system, vehicle and storage medium proposed in the embodiments of the present invention analyze and record the driver's behavioral attention information by combining multi-dimensional information such as driving trajectory information and vehicle information, and trigger an alarm for dangerous distracted behavior. When analyzing the driver's driving status and calculating the driver's driving attention, it is closer to the driver's actual driving scenario. In addition, by adding an algorithm feedback mechanism, through the continuous accumulation of data, the driver's concentration level is continuously corrected after each trip, so that the driver's behavior model can be established more accurately, and the driver's driving attention behavior habits can be simulated, so as to achieve a more personalized and accurate analysis.

[0016] The driving attention information processing solution proposed in the embodiments of the present invention can monitor the user's driving attention, assist the user in driving, and effectively reduce the accident rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other objects, features and advantages of the embodiments of the present invention will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0018] Figure 1 A flow chart showing a method for processing driving attention information according to an embodiment of the present invention is shown;

[0019] Figure 2 A schematic diagram showing an example of dividing a vehicle visual area according to an embodiment of the present invention;

[0020] Figure 3 A block diagram of a driving attention information processing device according to an embodiment of the present invention is shown.

[0021] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts. DETAILED DESCRIPTION

[0022] The principle and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way.

[0023] In one aspect, an embodiment of the present invention provides a method for processing driving attention information. Figure 1 , which shows a flow chart of a method for processing driving attention information according to an embodiment of the present invention. The method 100 includes steps S101-S108.

[0024] In step S101, the driver's sight data is received from a human sight acquisition device. For example, the human sight acquisition device can be set in front of the driver's eyes in the vehicle, and the position of the driver's gaze is determined by tracking the position and movement of the human eye, collecting the human eye pupil information, and determining the direction of the human eye sight by the pupil offset direction and angle. The human eye sight acquisition device is generally composed of a camera, an infrared sensor or other sensors.

[0025] In step S102, the driver's sight line landing area in multiple visual areas of the vehicle is determined according to the sight line data, that is, the driver's current attention focus area. For example, the driver's sight line landing point and relative direction in the vehicle visual area can be calculated in combination with the vehicle's physical structure model. The vehicle's physical structure model is used to configure basic parameters such as the vehicle and windows.

[0026] refer to Figure 2 , which shows a schematic diagram of an example of vehicle visual area division according to an embodiment of the present invention.

[0027] like Figure 2 As shown, the visual areas divided on the vehicle may include the left area (left window area), the middle area (front windshield area), the right area (right window area) and the rear area (central control display screen and rearview mirror area). Among them, the left area may include L1 (left 1), L2 (left 2), L3 (left 3); the middle area may include C1 (center 1), C2 (center 2), C3 (center 3); the right area may include R1 (right 1), R2 (right 2), R3 (right 3); the rear area may include B1 (rear 1) and B2 (rear 2).

[0028] Depending on the model, each visual area can have different area ratios. As an example, the area ratio of the left and right partitions can be: L1:L2:L3=R1:R2:R3=40%:30%:30%. The area ratio of the central area can be: C1:C2:C4=50%:20%:30%.

[0029] In step S103, the location information of the vehicle is received from a positioning recording device. The positioning recording device is, for example, a global positioning system (GPS) recording device, or a GPS module, which can determine the current location by receiving signals from satellites. In this example, the location information can also be referred to as GPS information.

[0030] In step S104, the driving direction and speed of the vehicle are calculated based on the position information. The driving track of the vehicle during the stage time can be calculated based on the position information during the stage time, and the driving direction and speed of the vehicle can be determined based on the driving track.

[0031] In step S105, according to the sight point area, the driving direction and the driving speed, based on the predetermined mapping relationship between the sight point area, the driving direction, the driving speed and the attention score, the current attention score of the current scoring period in the current trip is determined with a preset scoring period. A specific example of the predetermined mapping relationship between the sight point area, the driving direction, the driving speed and the attention score is shown in the following Table 1.

[0032] Table 1. Attention score mapping table

[0033]

[0034] It should be noted that the mapping relationship shown in Table 1 is only an illustrative example. In actual application, different conditions and values ​​for adding or subtracting points can be set according to different vehicle models, scenarios, and driving concentration requirements.

[0035] The above-mentioned driving attention scoring algorithm analyzes the driver's driving status according to the driving trajectory and direction within the time period and the direction of human eye sight, and analyzes and quantifies the driver's attention status (degree of concentration in driving).

[0036] In step S106, the alarm trigger information is determined based on the current attention score, the historical attention score in the specific historical scoring period of the current trip, and the driver's driving concentration level value, and the alarm trigger information includes whether to trigger the alarm, and if the alarm trigger information is to trigger the alarm, a warning signal is sent to the alarm device. For example, if the driver's line of sight is always in the deduction area for a certain period of time during driving, a danger alarm will be triggered.

[0037] Optionally, the warning device can provide a warning to the driver by, for example, sound, light, vibration, etc. or in combination with the vehicle system to remind the driver to pay attention to safety. Alternatively, the warning device can also be an interface device that transmits a warning signal to the outside world (eg, an external device).

[0038] As an embodiment of the present invention, an alarm may be triggered in the following circumstances: the attention scores in the current scoring cycle and the second predetermined number of scoring cycles before it continuously decrease by more than the second score threshold; and / or the total score of the attention scores in the current scoring cycle and the third predetermined number of scoring cycles before it is lower than the third score threshold.

[0039] As an embodiment of the present invention, the level of attentive driving can be determined according to the numerical range of the attentive driving level value, for example, the attentive driving level is sorted from high to low in order of sequence number, the first level, the second level, ... the Nth level. As a specific example, the attentive driving level can be divided into five levels, namely, very attentive, attentive, general, inattentive, and very inattentive. For different levels of attentive driving level, the second predetermined number, the second score threshold, the third predetermined number, and the third score threshold are determined respectively.

[0040] A specific example of the conditions for triggering an alarm is shown in Table 2 below.

[0041] Table 2. Alarm triggering conditions

[0042]

[0043] Table 2 above shows a specific example of the conditional judgment for triggering an alarm. If 30 points are deducted for multiple consecutive cycles, or the total score is lower than 0 points for multiple consecutive cycles, an alarm will be triggered. In this example, it can be seen that the higher the concentration, the looser the judgment condition, and the lower the concentration, the stricter the judgment condition. By setting the second predetermined number, the second score threshold, the third predetermined number, and the third score threshold according to the different levels of attentive driving, the alarm triggering conditions can be set according to the habits of different drivers, and the reminders can be strengthened for drivers with bad driving habits, realizing personalized and humanized processing.

[0044] As an embodiment of the present invention, the warning trigger information may also include a warning level. The more serious the driver's distraction, the higher the warning level, thereby providing the driver with warning reminders of different intensities. Optionally, the warning level may be determined according to one or more of the following:

[0045] The score values ​​of continuous deductions in the current scoring cycle and the second predetermined number of scoring cycles before it, for example, if the score is deducted by 10 points in N consecutive scoring cycles and 30 points in N consecutive scoring cycles, a higher alarm level is set for the latter;

[0046] The number of consecutive deductions in the current scoring cycle and the previous scoring cycle. For example, if 30 points are deducted in 10 consecutive scoring cycles and 30 points are deducted in 30 consecutive scoring cycles, a higher alarm level is set for the latter.

[0047] The sum of the attention scores of the current scoring cycle and the third predetermined number of scoring cycles before it, for example, if the total attention score for 50 consecutive cycles is 0, and the total attention score for 50 consecutive cycles is -20, a higher alarm level is set for the latter.

[0048] In step S107, the total driving attention score of the current trip is determined according to the number of scoring periods in the current trip, the attention score in each scoring period in the current trip, and the attentive driving degree value, wherein the total driving attention score is positively correlated with the attentive driving degree value and the numerical value of the attention score in each scoring period.

[0049] As a specific example, the total driving attention score for a journey can be calculated using the following formula:

[0050]

[0051] Where E represents the total driving attention score of the journey, p represents the driving concentration level, n represents the number of scoring cycles included in the journey, S n represents the driving attention score in the nth scoring cycle, and C represents the expected average value constant of the journey score, for example, it is set to 6 in the above scoring example.

[0052] In step S108, the current driving concentration value is determined based on the previous driving concentration value, the total driving concentration score of the historical trip, and the total driving concentration score of the current trip, wherein the current driving concentration value is positively correlated with the total driving concentration score of the current trip, and negatively correlated with the standard deviation of the total driving concentration score of the historical trip. For example, the driver's driving concentration value p can be dynamically obtained before each calculation. The default value for the first time is 1, and the standard deviation S of the total driving concentration score of the historical trip is calculated by the total driving concentration score of the historical trip accumulated before, and the next p is obtained by combining the total driving concentration score E of the current trip.

[0053] As a specific example, the attentive driving level value p can be calculated by the formula p= p + E / (p+S), where p is the attentive driving level value, E is the total driving attention score of the current trip, and S is the standard deviation of the total driving attention scores of historical trips.

[0054] By continuously correcting the driver's concentration level after each trip, the driver's behavior model can be simulated more accurately.

[0055] The driving attention information processing method proposed in the embodiment of the present invention analyzes and records the driver's behavioral attention information by combining multi-dimensional information such as driving trajectory information and vehicle information, and triggers an alarm for dangerous distracting behavior. When analyzing the driver's driving state and calculating the driver's driving attention, it is closer to the driver's actual driving scene. In addition, the algorithm feedback mechanism is added, and the driver's driving attention behavior model can be better established through the continuously accumulated data, simulating the driver's driving attention behavior habits, and achieving more personalized and accurate analysis.

[0056] The driving attention information processing method proposed in the embodiment of the present invention can monitor the user's driving attention, assist the user in driving, and effectively reduce the accident rate.

[0057] As an embodiment of the present invention, the length of the scoring period may be a preset fixed value, for example, 5 seconds.

[0058] As another embodiment of the present invention, the scoring period of the current trip can be set according to the driver's driving concentration value. For example, the higher the driving concentration value, the higher the driver's concentration, and the scoring period can be appropriately extended; the lower the driving concentration value, the lower the driver's concentration, and the scoring period can be appropriately shortened, so as to more intensively and strictly monitor the driver's driving attention, and be able to more sensitively judge the warning timing to remind the driver.

[0059] As another embodiment of the present invention, the length of the scoring cycle can be automatically adjusted during driving. For example, if the number of alarms triggered in the current trip exceeds a predefined alarm number threshold, the scoring cycle is shortened; if the frequency of alarms triggered in the current trip exceeds a predefined alarm frequency threshold, the scoring cycle is shortened; if the attention score in the first predetermined number of consecutive scoring cycles in the current trip exceeds a predefined first score threshold, the scoring cycle is extended.

[0060] Through flexible and automated settings of the scoring cycle, stricter attention judgments and reminders can be made for drivers with poor driving habits, achieving personalized treatment.

[0061] In another aspect, an embodiment of the present invention provides a driving attention information processing device. Figure 3 , which shows a block diagram of a driving attention information processing device according to an embodiment of the present invention, and the device includes modules 301-308.

[0062] The sight line data receiving module 301 may be configured to receive the sight line data of the driver from a human sight line acquisition device.

[0063] The sight point determination module 302 may be configured to determine the sight point area of ​​the driver's sight in a plurality of visual areas of the vehicle according to the sight data.

[0064] The location information receiving module 303 may be configured to receive the location information of the vehicle from a positioning recording device.

[0065] The driving data calculation module 304 may be configured to calculate the driving direction and driving speed of the vehicle according to the position information.

[0066] The attention scoring module 305 can be configured to determine the current attention score of the current scoring period in the current trip based on a predetermined mapping relationship between the line of sight area, driving direction, driving speed and the attention score, with a preset scoring period.

[0067] The alarm judgment module 306 can be configured to determine the alarm trigger information based on the current attention score, the historical attention score within a specific historical scoring period of the current trip, and the driver's attentive driving level value, the alarm trigger information including whether to trigger an alarm, and when the alarm trigger information is to trigger an alarm, send an alarm signal to the alarm device.

[0068] The trip total score determination module 307 can be configured to determine the total driving attention score of the current trip based on the number of scoring periods in the current trip, the attention score in each scoring period in the current trip, and the attentive driving degree value, wherein the total driving attention score is positively correlated with the attentive driving degree value and the numerical value of the attention score in each scoring period.

[0069] The attentive driving level determination module 308 can be configured to determine the current attentive driving level value based on the previous attentive driving level value, the total driving attention score of the historical trips, and the total driving attention score of the current trip, wherein the current attentive driving level value is positively correlated with the total driving attention score of the current trip, and negatively correlated with the standard deviation of the total driving attention score of the historical trips.

[0070] It should be noted that the functions implemented by each module in the driving attention information processing device proposed in the embodiment of the present invention correspond one-to-one to the various steps of the driving attention information processing method described above. For its specific implementation methods, examples and beneficial effects, please refer to the above description of the method.

[0071] On another aspect, an embodiment of the present invention proposes a driving attention information processing device, which includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the driving attention information processing method described in any of the above embodiments is implemented.

[0072] On another aspect, an embodiment of the present invention proposes a driving attention information processing system, which includes a human eye sight line acquisition device, a positioning and recording device, an alarm device, and a driving attention information processing device described in the above embodiment. Among them, the human eye sight line acquisition device is used to collect the driver's sight line data and transmit the sight line data to the driving attention information processing device. The positioning and recording device is used to record the location information of the vehicle and transmit the location information to the driving attention information processing device. The alarm device is used to receive an alarm signal from the driving attention information processing device and execute an alarm according to the alarm signal. The three devices of the human eye sight line acquisition device, the positioning and recording device, and the alarm device can be flexibly and independently configured, and also support third-party access and configuration.

[0073] In practical applications, each functional module in the driving attention information processing system can be partially integrated and expanded according to the existing vehicle-mounted devices, or can be separately assembled as an independent vehicle-mounted device. And different configurations can be selected for integration and assembly according to cost and actual needs.

[0074] The driving attention information processing system proposed in the embodiment of the present invention can monitor the user's driving attention, assist the user in driving, and effectively reduce the accident rate. It can operate independently as a whole or be integrated into the existing driving plan as a module.

[0075] In yet another aspect, an embodiment of the present invention provides a vehicle, which includes the driving attention information processing system described in the above embodiment.

[0076] On the other hand, an embodiment of the present invention provides a storage medium storing computer-readable instructions, which, when executed by a processor, executes the method for processing driving attention information described in any of the above embodiments.

[0077] The driving attention information processing method, device, equipment, system, vehicle and storage medium proposed in the embodiments of the present invention analyze and record the driver's behavioral attention information by combining multi-dimensional information such as driving trajectory information and vehicle information, and trigger an alarm for dangerous distracted behavior. When analyzing the driver's driving status and calculating the driver's driving attention, it is closer to the driver's actual driving scenario. In addition, by adding an algorithm feedback mechanism, through the continuous accumulation of data, the driver's concentration level is continuously corrected after each trip, so that the driver's behavior model can be established more accurately, and the driver's driving attention behavior habits can be simulated, so as to achieve a more personalized and accurate analysis.

[0078] The driving attention information processing solution proposed in the embodiments of the present invention can monitor the user's driving attention, assist the user in driving, and effectively reduce the accident rate.

[0079] For the purpose of illustration, the foregoing description of the embodiments of the present invention has been given, which is not exhaustive nor intended to limit the present invention to the disclosed exact form. It will be appreciated by those skilled in the art that various changes can be made without departing from the scope of the present invention, and that the elements therein can be replaced with equivalents. In addition, without departing from the basic scope of the present invention, many modifications can be made so that specific situations or materials are adapted to the teachings of the present invention. Therefore, the present invention is not intended to be limited to the specific embodiments disclosed as the best mode for realizing the present invention, and the present invention will include all embodiments falling within the scope of the appended claims.

Claims

1. A method for processing driving attention information, characterized in that: The method comprises: receiving the driver's sight line data from the human eye sight line acquisition device; Determining a sight point area of ​​the driver's sight in a plurality of visual areas of the vehicle according to the sight data; receiving the position information of the vehicle from the positioning recording device; Calculating the driving direction and driving speed of the vehicle according to the position information; According to the sight point area, the driving direction and the driving speed, based on a predetermined mapping relationship between the sight point area, the driving direction, the driving speed and the attention score, a current attention score for a current scoring period in the current trip is determined in a preset scoring period; Determining alarm triggering information according to the current attention score, the historical attention score in a specific historical scoring period of the current trip, and the driver's attentive driving degree value, wherein the alarm triggering information includes whether to trigger an alarm, and sending an alarm signal to an alarm device if the alarm triggering information is to trigger an alarm; Determine a total driving attention score for the current trip according to the number of scoring cycles in the current trip, the attention score in each scoring cycle in the current trip, and the attentive driving degree value, wherein the total driving attention score for the current trip is positively correlated with the attentive driving degree value and the value of the attention score in each scoring cycle; The current attentive driving level value is determined based on the previous attentive driving level value, the total driving attention score of the historical trips, and the total driving attention score of the current trip, wherein the current attentive driving level value is positively correlated with the total driving attention score of the current trip, and negatively correlated with the standard deviation of the total driving attention score of the historical trips.

2. The method according to claim 1, characterized in that The method further comprises one or more of the following steps: Setting a scoring period for the current trip according to the driver's driving concentration level; When the number of alarms triggered in the current trip exceeds a predefined alarm number threshold, shortening the scoring period; When the alarm triggering frequency exceeds a predefined alarm frequency threshold in the current trip, shortening the scoring period; When the attention score exceeds a predefined first score threshold for a first predetermined number of consecutive scoring periods in the current trip, the scoring period is extended.

3. The method according to claim 1, characterized in that Determining the alarm triggering information according to the current attention score, the historical attention score in a specific historical scoring period of the current trip, and the driver's driving concentration level value includes: In the case where the attention scores in the current scoring cycle and the second predetermined number of scoring cycles before the current scoring cycle continuously decrease and exceed the second score threshold, determining that the alarm triggering information is a triggering alarm; and / or When the total score of the attention scores in the current scoring cycle and the third predetermined number of scoring cycles before the current scoring cycle is lower than the third score threshold, the alarm triggering information is determined to be a triggering alarm.

4. The method according to claim 3, characterized in that The alarm triggering information also includes an alarm level, and the method further includes determining the alarm level according to one or more of the following: The points of the continuous deductions in the current scoring period and the second predetermined number of scoring periods before it; The number of consecutive scoring periods with deductions in the current scoring period and the previous scoring period; The sum of the attention scores of the current scoring period and the third predetermined number of scoring periods before it.

5. The method according to claim 3, characterized in that: The method further comprises: Determining a driving attentiveness level according to a numerical range of the driving attentiveness value; The second predetermined number, the second score threshold, the third predetermined number, and the third score threshold are determined respectively for different levels of attentive driving.

6. A driving attention information processing device, characterized in that: The device comprises: A sight line data receiving module, configured to receive the driver's sight line data from a human eye sight line acquisition device; A sight point determination module, configured to determine a sight point area of ​​the driver's sight in a plurality of visual areas of the vehicle according to the sight data; A position information receiving module configured to receive the position information of the vehicle from the positioning recording device; A driving data calculation module, configured to calculate the driving direction and driving speed of the vehicle according to the position information; an attention scoring module configured to determine a current attention score for a current scoring period in a current trip according to the sight point area, the driving direction and the driving speed, based on a predetermined mapping relationship between the sight point area, the driving direction, the driving speed and the attention score, and in a preset scoring period; an alarm determination module, configured to determine alarm trigger information according to the current attention score, the historical attention score in a specific historical scoring period of the current trip, and the driver's driving concentration level value, wherein the alarm trigger information includes whether to trigger an alarm, and if the alarm trigger information is to trigger an alarm, send an alarm signal to an alarm device; a trip total score determination module, configured to determine a trip driving attention total score of the current trip according to the number of scoring cycles in the current trip, the attention score in each scoring cycle in the current trip, and the attentive driving degree value, wherein the trip driving attention total score is positively correlated with the attentive driving degree value and the value of the attention score in each scoring cycle; The attentive driving degree determination module is configured to determine a current attentive driving degree value based on a previous attentive driving degree value, a total driving attention score of a historical trip, and a total driving attention score of a current trip, wherein the current attentive driving degree value is positively correlated with the total driving attention score of the current trip, and negatively correlated with a standard deviation of the total driving attention scores of the historical trips.

7. A driving attention information processing device, characterized in that: The device includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the driving attention information processing method according to any one of claims 1 to 5 is implemented.

8. A driving attention information processing system, characterized in that: The system comprises a human eye sight acquisition device, a positioning recording device, an alarm device and a driving attention information processing device according to claim 7, wherein: The human eye sight line collection device is used to collect the driver's sight line data and transmit the sight line data to the driving attention information processing device; The positioning recording device is used to record the position information of the vehicle and transmit the position information to the driving attention information processing device; The warning device is used to receive a warning signal from the driving attention information processing device and execute a warning according to the warning signal.

9. A vehicle, characterized in that: The vehicle comprises a system according to claim 8.

10. A storage medium storing computer-readable instructions, wherein when the instructions are executed by a processor, the method according to any one of claims 1 to 5 is executed.

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