CN111583609A - Differential setting method for early warning strategy - Google Patents
Differential setting method for early warning strategy Download PDFInfo
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- CN111583609A CN111583609A CN202010309362.4A CN202010309362A CN111583609A CN 111583609 A CN111583609 A CN 111583609A CN 202010309362 A CN202010309362 A CN 202010309362A CN 111583609 A CN111583609 A CN 111583609A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
Abstract
The invention relates to a differential setting method of an early warning strategy, which comprises the steps of presetting a safety distance, and judging that an early warning event occurs when the distance between a vehicle and other vehicles or obstacles is less than the safety distance; acquiring a face image of a driver, comparing the face image with a face database, and determining the gender of the driver; when the gender of the driver is male, outputting a first early warning strategy, wherein the first early warning strategy at least comprises early warning of cold airflow sprayed to the face of the driver; otherwise, outputting a second early warning strategy, wherein the second early warning strategy at least comprises steering wheel vibration early warning. According to the method, different early warning strategies are formulated according to the gender difference of the driver, and the experience effect of the user is obviously improved. In addition, the method also respectively sets differential early warning aiming at early warning events with different sensitivity levels and drivers with different fatigue driving levels, improves the early warning effect and achieves the purpose of reducing the occurrence rate of traffic accidents.
Description
Technical Field
The invention relates to a vehicle early warning method, in particular to a differential setting method of an early warning strategy.
Background
With the increasing severity of traffic safety problems and the increasing incidence of traffic accidents, the vehicle safety anti-collision early warning technology is also receiving more and more attention from people. The anti-collision early warning means that the potential collision danger is timely early warned to the driver according to the conditions of surrounding vehicles, pedestrians, the environment and the like in the driving process of the vehicle, so that the driver can take measures in advance to avoid accidents.
The existing vehicle early warning aims at the self safety of the vehicle, various monitoring sensors are arranged on the vehicle body, and the vehicle can independently realize the early warning, so that the early warning is an autonomous anti-collision early warning. The whole early warning process mainly adopts a sensor to detect the equivalent of relative distance, relative speed or relative acceleration, and judges whether to give an early warning signal according to a calculated specific value, wherein common early warning signals are mostly simple voice prompt or image prompt. However, in practice, safe driving of the vehicle is not only affected by the vehicle speed, road surface conditions, and the like, but also affected to some extent by the age and sex of the driver. For example, in a complex dynamic environment of a vehicle in a driving state, there may be a difference in the reaction speed of drivers of different genders, and generally speaking, the reaction speed of a male driver is generally higher than that of a female driver. In addition, due to the physiological difference between the female driver and the male driver, applying the same early warning method may cause discomfort to the female driver, for example, spraying cold air with a low temperature to the face of the female driver may not only destroy the delicate makeup of the female but also cause discomfort to the female body, thereby reducing the experience effect of the user. However, at present, although many scholars at home and abroad have made a lot of research and attempts on vehicle early warning, such as age estimation by a DEX algorithm in the literature, there are still few differential early warnings made for gender. Therefore, it is very important to adopt different early warning modes for males and females to reduce the occurrence rate of traffic accidents and improve the user experience.
Disclosure of Invention
In order to solve the technical problem, the invention provides a differential setting method of an early warning strategy, which specifically comprises the following steps:
presetting a safety distance, and judging that an early warning event occurs when the distance between the vehicle and other vehicles or obstacles is less than the safety distance;
acquiring a face image of a driver, comparing the face image with a face database, and determining the gender of the driver;
when the gender of the driver is male, outputting a first early warning strategy, wherein the first early warning strategy at least comprises early warning of cold airflow sprayed to the face of the driver; otherwise, outputting a second early warning strategy, wherein the second early warning strategy at least comprises steering wheel vibration early warning.
Further, the second early warning strategy further comprises at least one of sound prompt, image display, seat vibration or early warning of hot air flow sprayed to the face of the driver; the first early warning strategy further comprises at least one of a voice prompt, an image display or a seat shake.
Further, the preset safety distance, when the distance between the vehicle and other vehicles or obstacles is less than the safety distance, after the step of determining that the early warning event occurs, the step of obtaining the face image of the driver, comparing the face image with the face database, and before the step of determining the gender of the driver, further comprises a fatigue driving detection step:
and acquiring vehicle running state information and facial feature data of the driver to evaluate the fatigue driving grade of the driver, wherein the fatigue driving grade is used as a basis for outputting the strength and the output duration of the early warning strategy.
Further, the step of obtaining the vehicle driving state information and the facial feature data of the driver to evaluate the fatigue driving level of the driver comprises the steps of:
acquiring vehicle running state information, wherein the running state information comprises vehicle continuous running time and vehicle running speed;
when the continuous running time of the vehicle is greater than a first threshold value and the running speed of the vehicle is greater than a second threshold value, acquiring facial feature data of a driver by using a camera; otherwise, the result is regarded as normal;
and extracting the yawning frequency and the blinking frequency of the driver in a fixed period from the facial feature data of the driver, and evaluating the fatigue driving level of the driver according to the yawning frequency and the blinking frequency.
Further, the step of extracting the yawning frequency and the blinking frequency of the driver in a fixed period from the facial feature data of the driver and evaluating the fatigue driving level of the driver according to the yawning frequency and the blinking frequency comprises the following steps:
adding the yawning frequency and the blinking frequency, and calculating the sum of the yawning frequency and the blinking frequency;
when the sum is greater than or equal to 0 and less than a third threshold, determining that the driver is in a light fatigue state;
when the sum is greater than or equal to the third threshold and less than the fourth threshold, determining that the driver is in a moderate fatigue state;
and when the sum is greater than or equal to the fourth threshold, determining that the driver is in a severe fatigue state.
Further, the first early warning strategy and the second early warning strategy are respectively set with different early warning durations and different early warning intensities according to the fatigue driving grade of the driver; and the early warning duration and the early warning intensity are respectively in direct proportion to the fatigue driving grade of the driver.
Further, the preset safety distance, when the distance between the vehicle and other vehicles or obstacles is smaller than the safety distance, after the step of determining that the early warning event occurs, the step of obtaining the face image of the driver, comparing the face image with the face database, and before the step of determining the gender of the driver, further comprises a step of evaluating the sensitivity level of the early warning event:
the method comprises the steps of obtaining a current driving situation of a vehicle by utilizing a plurality of cameras arranged on the circumferential direction of a vehicle body, evaluating the sensitivity level of an early warning event according to the current driving situation of the vehicle, and taking the sensitivity level as a basis of the output intensity of an early warning strategy.
Further, the step of evaluating the sensitivity level of the early warning event comprises the following sub-steps:
acquiring the current driving scene of the vehicle by utilizing a plurality of cameras arranged on the circumferential direction of the vehicle body;
and comparing the current driving scene of the vehicle with the scene database to obtain the sensitivity level of the early warning event.
Further, the scene database at least comprises straight line driving, forward collision, intersection driving, reverse driving, lane change driving, congested road section driving, overtaking driving, turning driving and turning driving, and different driving scenes are preset with matched sensitivity levels.
A differential early warning system based on the differential setting method of the early warning strategy comprises a signal processing module and an early warning module, wherein the early warning module is in communication connection with the signal processing module; the signal processing module is respectively connected with a vehicle-mounted 360-degree all-round system, a first camera and a vehicle-mounted control unit; the vehicle-mounted control unit is used for acquiring vehicle running state information in real time and sending the vehicle running state information to the signal processing module; the first camera is arranged above the steering wheel and opposite to the driver, and is used for acquiring a face image of the driver in real time and transmitting the face image to the signal processing module; the vehicle-mounted 360-degree all-around viewing system is used for acquiring the current driving scene of the vehicle and transmitting the current driving scene to the signal processing module; the signal processing module is used for analyzing and processing the received data information, making a corresponding early warning strategy and sending a corresponding early warning instruction to the early warning module according to the early warning strategy, and the early warning module makes a matched early warning strategy according to the early warning instruction.
The technical effects obtained by the invention are as follows:
the invention provides a differential setting method of an early warning strategy, which formulates different early warning strategies aiming at gender difference of drivers and obviously improves the experience effect of users on the premise of ensuring the early warning effect. In addition, the method also evaluates the fatigue driving grade of the driver and the sensitivity grade of the early warning event, and respectively sets differential early warning for the early warning events with different sensitivity grades and the drivers with different fatigue driving grades, thereby being beneficial to improving the early warning effect and reducing the occurrence rate of traffic accidents.
Drawings
Fig. 1 is a schematic flowchart of a differentiated setting method of an early warning policy in embodiment 1.
Fig. 2 is a schematic view of the evaluation process of the fatigue driving level of the driver in embodiment 1.
Fig. 3 is a schematic connection diagram of components of the differential warning system in embodiment 2.
Reference numerals:
the system comprises a signal processing module, a 2-early warning module, a 3-vehicle 360-degree all-round looking system, a 4-first camera and a 5-vehicle-mounted control unit.
Detailed Description
The following detailed description of the preferred embodiments of the present invention, taken in conjunction with the accompanying drawings, will make the advantages and features of the invention easier to understand for those skilled in the art and will therefore make the scope of the invention more clearly defined.
Example 1:
the embodiment of the invention provides a differential setting method of an early warning strategy, which is based on a signal processing module 1 installed on a vehicle and an early warning module 2 electrically connected with the signal processing module 1; the signal processing module 1 is also connected with a vehicle-mounted 360-degree all-round system 3, a first camera 4 and a vehicle-mounted control unit 5, wherein the first camera 4 is arranged in the vehicle, is positioned above a steering wheel and is opposite to the position of a driver; the early warning module 2 is connected with a first vibration motor and a second vibration motor, the first vibration motor is arranged in a steering wheel, and the second vibration motor is arranged in a driver seat.
An early warning differentiation setting method is specifically shown in fig. 1 and comprises the following steps
101. And presetting a safety distance, and judging that an early warning event occurs when the distance between the vehicle and other vehicles or obstacles is less than the safety distance.
In some embodiments, in order to send out an early warning signal more specifically and achieve a better early warning effect, the fatigue state of the driver at the moment of the occurrence of the early warning event is also detected, so that a matched early warning strategy is determined according to the fatigue level of the driver at that time. In the fatigue driving detection step, the fatigue driving grade of the driver is evaluated mainly by acquiring the vehicle driving state information and the facial feature data of the driver, and the fatigue driving grade can be used as an important basis for the output intensity and the output duration of the early warning strategy, namely, the higher the fatigue driving grade is, the more serious the fatigue state of the driver is, and the greater the early warning intensity and the early warning duration are at the moment. Specifically, as shown in fig. 2, in the process of detecting fatigue driving, it is generally required to acquire vehicle running state information, where the vehicle running state information includes a vehicle continuous running time and a vehicle running speed. Then, comparing the continuous running time of the vehicle with a first threshold value, comparing the running speed of the vehicle with a second threshold value, when the continuous running time of the vehicle is greater than the first threshold value and the running speed of the vehicle is greater than the second threshold value, the fact that the vehicle runs continuously for a long time means that the driver cannot rest for a long time, and at the moment, if the system defaults that the possibility of fatigue of the driver is high, the first camera 4 is continuously used for collecting facial feature data of the driver; otherwise, the driver is considered to be normal, namely the driver is in a normal driving state by default, and fatigue driving does not exist. The acquisition of the facial features of the driver by the first camera 4 is a continuous process, and all the facial feature data of the driver in a period of time can be recorded. Therefore, once the facial feature data of the driver are acquired, the yawning frequency and the blinking frequency of the driver in a fixed period can be extracted from the facial feature data of the driver, and the fatigue driving level of the driver can be evaluated according to the yawning frequency and the blinking frequency. The fixed period can be set by itself as required, such as 30s or 1 minute, without limitation. In this embodiment, the acquired yawning frequency and blinking frequency are added, the sum of the two is calculated, and when the sum is greater than or equal to 0 and less than a third threshold, it is determined that the driver is in a light fatigue state; when the sum is greater than or equal to the third threshold and less than the fourth threshold, determining that the driver is in a moderate fatigue state; and when the sum is greater than or equal to the fourth threshold, determining that the driver is in a severe fatigue state. Of course, the evaluation of the fatigue driving level is not limited to the method listed in this embodiment, and the evaluation method of the fatigue driving level in the prior art may also be adopted, and the method is not limited to this embodiment as long as the fatigue state of the driver can be reasonably evaluated.
After the fatigue driving grade of the driver is evaluated, the fatigue state of the driver can be preliminarily known, and then different early warning signals, duration and early warning strength can be set according to the fatigue driving grade of the driver by the first early warning strategy and the second early warning strategy respectively. In this embodiment, the early warning signal is different according to the fatigue driving level, and the duration and the early warning strength are also in direct proportion to the fatigue driving level of the driver, so that the driver can be quickly awakened from the fatigue state, and the attention can be improved.
In other embodiments, the sensitivity level of the pre-alarm event is also evaluated to obtain the sensitivity of the pre-alarm event. The sensitivity level evaluation of the early warning event is that after the early warning event occurs, a plurality of cameras arranged on the periphery of a vehicle body are used for continuously acquiring the current driving situation of the vehicle, the sensitivity level of the early warning event is evaluated according to the current driving situation of the vehicle, and then the sensitivity level is used as an important basis for the output intensity of the early warning strategy. Specifically, in order to evaluate the sensitivity level of the early warning event, a plurality of cameras arranged in the circumferential direction of the vehicle body are used for acquiring the current driving situation of the vehicle, wherein the plurality of cameras in the circumferential direction of the vehicle body are the vehicle-mounted 360-degree all-around system 3; and then comparing the acquired current driving scene of the vehicle with a preset scene database to obtain the sensitivity level of the early warning event. In other words, the evaluation of the sensitivity level of the early warning event is based on the establishment of a context database, that is, in order to evaluate the sensitivity level of the sensitive event, a context database needs to be established first, the context database at least comprises various possible contexts in the driving process of the vehicle, and the various contexts are respectively preset with matched sensitivity levels. In this embodiment, the various scenes in the scene database include straight-line driving, forward collision warning, collision warning of vulnerable traffic participants, intersection driving warning, emergency braking warning, vehicle out-of-control warning, reverse driving warning, reverse overtaking warning, lane change driving warning, congested road section driving, overtaking driving, turning around driving warning, turning left auxiliary, blind area warning, road danger condition prompting, red light warning, emergency vehicle reminding, near-field vehicle payment, abnormal vehicle reminding, speed limit warning, front congestion reminding, green wave vehicle speed guidance, in-vehicle signage, and the like. The sensitivity level of the left-turn assistant, the near-field payment of the automobile, the front congestion reminding, the in-automobile label, the straight-line running, the congested road section running and the turning running early warning is 1 level; the sensitivity levels of green wave vehicle speed guidance, speed limit early warning, abnormal vehicle reminding, emergency vehicle reminding, blind area early warning and lane change driving early warning are all 2 levels; the sensitivity levels of forward collision early warning, weak traffic participant collision early warning, intersection driving early warning, emergency braking early warning, vehicle out-of-control early warning, reverse driving early warning, reverse overtaking early warning, overtaking driving, turning around driving, road danger condition prompting and red light running early warning are all 3 levels. The higher the sensitivity level is, the higher the risk level is, and the stronger the output intensity of the early warning strategy at the moment is.
102. And acquiring a face image of the driver, and comparing the face image with a face database to determine the gender of the driver.
In order to obtain the image of the face of the driver, a first camera is generally required to be arranged in the cab, the first camera is arranged above the steering wheel and opposite to the driver, and the image or the video of the front face of the driver can be shot.
In order to determine the gender of the driver by using the facial image, a face database needs to be established, the face database needs to be recorded with facial information and gender of at least one vehicle user in advance, and the face database usually contains facial information and gender of a plurality of drivers who may use the vehicle. Therefore, after the face image of the current driver is acquired through the first camera, the gender of the current driver can be quickly determined by comparing the face image with the face database. In addition, the identity of the current driver can be authenticated by comparing the face image of the current driver with the face database, namely if the information of the driver cannot be found in the face database, the driver is considered to have no right to use the vehicle, the vehicle can be automatically locked, and the safety of the vehicle is improved.
103. When the gender of the driver is male, outputting a first early warning strategy, wherein the first early warning strategy at least comprises early warning of cold airflow sprayed to the face of the driver; otherwise, outputting a second early warning strategy, wherein the second early warning strategy at least comprises steering wheel vibration early warning.
Of course, the first warning strategy may further include at least one of an audible prompt, a visual display, or a seat shake. And the second early warning strategy also comprises at least one of sound prompt, image display, display screen flicker, seat vibration or early warning of hot air flow sprayed to the face of the driver.
Preferably, the first early warning strategy and the second early warning strategy can give consideration to the fatigue driving grade and the sensitivity grade of a driver at the occurrence moment of the early warning event to comprehensively set the type, the early warning intensity and the early warning duration of the early warning signal, so that higher-degree differential early warning setting is achieved. After the early warning event occurs, the fatigue driving grade of a driver and the sensitivity grade of the early warning event are sequentially evaluated, and then the strength and the early warning duration of the early warning signal are determined according to the fatigue driving grade and the sensitivity grade. Then, a face image of the driver is obtained, and the type of the early warning signal (such as steering wheel vibration or cold air spraying to the face) is determined according to the face image, so that an appropriate early warning strategy is worked out. And finally, sending out a matched early warning signal according to an early warning strategy. Generally, the higher the sensitivity level and the more serious the fatigue state, the greater the vibration intensity, sound and the like in the early warning and the longer the duration. After the duration time is over, the early warning signal automatically disappears. For example, if the sensitivity level of the early warning event is 3, only image early warning is needed when the fatigue state is normal for the male driver, and the early warning duration is 1.5 s; if the fatigue state is a slight fatigue state, early warning is carried out in a mode of combining images and sound, and the duration time is 2 s; if the fatigue state is a moderate fatigue state, early warning is carried out in a mode of combining images, sound and seat vibration, and the duration time is 2.5 s; if the fatigue state is a severe fatigue state, the early warning is carried out by means of images, sound, seat vibration and cold air flow spraying to the face, and the duration is 3 s. For female drivers, under the condition that the fatigue state is normal, the driver only needs to perform image early warning, and the duration time is 1.5 s; if the fatigue state is a slight fatigue state, early warning is carried out in a mode of combining images and sound, and the early warning duration is 2 s; if the fatigue state is a moderate fatigue state, performing early warning in a mode of combining images, sounds and steering wheel vibration, wherein the early warning duration is 2.5 s; if the fatigue state is severe fatigue, an early warning mode combining images, sound, steering wheel vibration and seat vibration can be adopted, and the duration is 3 s. Although the early warning effect is achieved by directly spraying cold air flow to the face of the driver, the early warning method of spraying cold air flow to the face is particularly cancelled considering that the female driver has the reasons of makeup, physical and the like. In this embodiment, early warning sound size, steering wheel vibration intensity, seat vibration intensity, to the all adjustable in a flexible way of intensity of jet flow of face. In the specific operation process, the strength of various early warning signals reaches the maximum limit when the sensitivity level is 3 generally. When the sensitivity level is level 2, the types of the warning signals for the male driver and the female driver are unchanged, but the warning sound, the steering wheel vibration intensity, the seat vibration intensity, and the air flow intensity are all decreased as compared to when the sensitivity level is level 3. When the sensitivity level is level 1, the type of the warning signal is still unchanged, but the warning sound, the steering wheel vibration intensity, the seat vibration intensity, and the air flow intensity are further reduced as compared to when the sensitivity level is level 2. Certainly, the implementation method for setting the early warning differentiation in this embodiment is not limited to the above method, and under the condition of each sensitivity level and fatigue driving level, the user can set the type, intensity and duration of the early warning signal according to the needs of the user, which is not limited herein.
Example 2:
the embodiment discloses a differentiated early warning system, as shown in fig. 3, which is used for implementing a differentiated setting method of an early warning policy in embodiment 1. The early warning system specifically comprises a signal processing module 1 and an early warning module 2, wherein the early warning module 2 is in communication connection with the signal processing module 1. The signal processing module 1 is respectively connected with a vehicle-mounted 360-degree all-round system 3, a first camera 4 and a vehicle-mounted control unit 5. The vehicle-mounted control unit 5 is used for acquiring vehicle running state information in real time and sending the vehicle running state information to the signal processing module 1. First camera 4 sets up in the steering wheel top and sets up with the driver relatively, and first camera 4 is used for acquireing driver face image in real time and transmits to signal processing module 1. The vehicle-mounted 360-degree all-round system 3 is used for acquiring the current driving scene of the vehicle and transmitting the current driving scene to the signal processing module 1. The signal processing module 1 is used for analyzing and processing the received data information, making a corresponding early warning strategy, and sending a corresponding early warning instruction to the early warning module 2 according to the early warning strategy, and the early warning module 2 makes a matched early warning strategy according to the early warning instruction.
In this embodiment, the early warning module 2 includes the car machine that sets up in the car center console, and the car machine is integrative with the display screen, can carry out voice broadcast to the driver and remind and show that the image reminds. The early warning module 2 also has a first vibrating motor and a second vibrating motor, and the first vibrating motor and the second vibrating motor are all micro motors. The first vibration motor is disposed inside the driver's seat, i.e., the first vibration motor may be disposed in a cushion portion of the driver's seat or in a backrest portion of the driver's seat, while the second vibration motor is disposed in the steering wheel. First vibrating motor and second vibrating motor are connected with early warning module 2 electricity respectively, early warning module 2 is used for carrying out work according to early warning instruction drive first vibrating motor and second vibrating motor to the driver transmission feels of shaking, realizes the warning effect. And the vibration of the first vibration motor and the second vibration motor has adjustability. Of course, the seat vibration and the steering wheel vibration are not necessarily realized by installing a vibration motor, and may be realized by other methods in the prior art, as long as the seat and the steering wheel vibration can be realized, without limitation. For example, a plurality of air bags can be installed in the seat, each air bag is provided with a control valve, the control valves are in control connection with the early warning module 2, the early warning module 2 controls the control valves of the air bags to inflate or deflate the air bags, and then the seat is changed in height and height, so that the seat is vibrated.
As preferred, in order to realize that cold/hot air flow is directly sprayed on the face of a driver so as to achieve an early warning effect, the early warning module 2 is further in control connection with the vehicle-mounted air conditioner, and the early warning module 2 can drive the vehicle-mounted air conditioner to be turned on or turned off according to an early warning instruction and adjust the air outlet temperature of the vehicle air conditioner. When the female driver's face needs to be sprayed with air, the hot air flow can be selectively blown to the face of the female driver to avoid causing discomfort to the female driver. Of course, the method of warning the jet flow to the face of the driver can be eliminated in consideration of the fact that most female drivers have makeup habits. For male drivers, cold air flow with low temperature can be directly sprayed to the faces of the male drivers, and a quick early warning effect is achieved.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A differential setting method for early warning strategies is characterized by comprising the following steps:
presetting a safety distance, and judging that an early warning event occurs when the distance between the vehicle and other vehicles or obstacles is less than the safety distance;
acquiring a face image of a driver, comparing the face image with a face database, and determining the gender of the driver;
when the gender of the driver is male, outputting a first early warning strategy, wherein the first early warning strategy at least comprises early warning of cold airflow sprayed to the face of the driver; otherwise, outputting a second early warning strategy, wherein the second early warning strategy at least comprises steering wheel vibration early warning.
2. The differential setting method of the early warning strategies according to claim 1, wherein the second early warning strategy further comprises at least one of voice prompt, image display, seat vibration or early warning of hot air flow to the face of the driver; the first early warning strategy further comprises at least one of a voice prompt, an image display or a seat shake.
3. The early warning strategy differentiation setting method according to claim 2, wherein the preset safety distance, when the distance between the vehicle and other vehicles or obstacles is less than the safety distance, after the step of determining that the early warning event occurs, the step of acquiring the face image of the driver, comparing the face image with the face database, and before the step of determining the gender of the driver, further comprises a fatigue driving detection step:
and acquiring vehicle running state information and facial feature data of the driver to evaluate the fatigue driving grade of the driver, wherein the fatigue driving grade is used as a basis for outputting the strength and the output duration of the early warning strategy.
4. The early warning strategy differentiation setting method according to claim 3, wherein the step of obtaining vehicle driving state information and driver facial feature data to evaluate the driver's fatigue driving level comprises:
acquiring vehicle running state information, wherein the running state information comprises vehicle continuous running time and vehicle running speed;
when the continuous running time of the vehicle is greater than a first threshold value and the running speed of the vehicle is greater than a second threshold value, acquiring facial feature data of a driver by using a camera; otherwise, the result is regarded as normal;
and extracting the yawning frequency and the blinking frequency of the driver in a fixed period from the facial feature data of the driver, and evaluating the fatigue driving level of the driver according to the yawning frequency and the blinking frequency.
5. The differential setting method of the early warning strategy as claimed in claim 4, wherein the step of extracting the yawning frequency and the blinking frequency of the driver in a fixed period from the facial feature data of the driver and estimating the fatigue driving level of the driver according to the yawning frequency and the blinking frequency comprises the steps of:
adding the yawning frequency and the blinking frequency, and calculating the sum of the yawning frequency and the blinking frequency;
when the sum is greater than or equal to 0 and less than a third threshold, determining that the driver is in a light fatigue state;
when the sum is greater than or equal to the third threshold and less than the fourth threshold, determining that the driver is in a moderate fatigue state;
and when the sum is greater than or equal to the fourth threshold, determining that the driver is in a severe fatigue state.
6. The differential setting method of the early warning strategies as claimed in claim 5, wherein the first early warning strategy and the second early warning strategy respectively set different early warning duration and early warning intensity according to the fatigue driving grade of the driver; and the early warning duration and the early warning intensity are respectively in direct proportion to the fatigue driving grade of the driver.
7. The differential setting method for the early warning strategy according to claim 2, wherein the preset safety distance, when the distance between the vehicle and other vehicles or obstacles is smaller than the safety distance, after the step of determining that the early warning event occurs, the step of acquiring the face image of the driver, comparing the face image with the face database, and before the step of determining the gender of the driver, further comprises the step of evaluating the sensitivity level of the early warning event:
the method comprises the steps of obtaining a current driving situation of a vehicle by utilizing a plurality of cameras arranged on the circumferential direction of a vehicle body, evaluating the sensitivity level of an early warning event according to the current driving situation of the vehicle, and taking the sensitivity level as a basis of the output intensity of an early warning strategy.
8. The early warning strategy differentiation setting method according to claim 7, wherein the sensitivity level evaluation step for early warning events comprises the following sub-steps:
acquiring the current driving scene of the vehicle by utilizing a plurality of cameras arranged on the circumferential direction of the vehicle body;
and comparing the current driving scene of the vehicle with the scene database to obtain the sensitivity level of the early warning event.
9. The differential setting method for the early warning strategy according to claim 8, wherein the situation database at least comprises straight-line driving, forward collision, intersection driving, reverse driving, lane change driving, congested road section driving, overtaking driving, turning around driving and turning driving, and different driving situations are preset with matched sensitivity levels.
10. A differentiation early warning system, based on the differentiation setting method of the early warning strategy according to any one of claims 1 to 9, characterized by comprising a signal processing module (1) and an early warning module (2), wherein the early warning module (2) is in communication connection with the signal processing module (1); the signal processing module (1) is respectively connected with a vehicle-mounted 360-degree all-round system (3), a first camera (4) and a vehicle-mounted control unit (5); the vehicle-mounted control unit (5) is used for acquiring vehicle running state information in real time and sending the vehicle running state information to the signal processing module (1); the first camera (4) is arranged above the steering wheel and opposite to the driver, and the first camera (4) is used for acquiring a face image of the driver in real time and transmitting the face image to the signal processing module (1); the vehicle-mounted 360-degree all-around system (3) is used for acquiring the current driving scene of the vehicle and transmitting the current driving scene to the signal processing module (1); the signal processing module (1) is used for analyzing and processing the received data information, making a corresponding early warning strategy and sending a corresponding early warning instruction to the early warning module (2) according to the early warning strategy, and the early warning module (2) makes a matched early warning strategy according to the early warning instruction.
Priority Applications (1)
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