CN114312559B - Vehicle driving reminding method, device, equipment and storage medium - Google Patents

Vehicle driving reminding method, device, equipment and storage medium Download PDF

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Publication number
CN114312559B
CN114312559B CN202111625132.XA CN202111625132A CN114312559B CN 114312559 B CN114312559 B CN 114312559B CN 202111625132 A CN202111625132 A CN 202111625132A CN 114312559 B CN114312559 B CN 114312559B
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target
reminding
preset
decibel value
determining
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CN114312559A (en
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石登仁
罗玉良
李云
潘晖
陈钊
吕淑婷
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Dongfeng Liuzhou Motor Co Ltd
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Dongfeng Liuzhou Motor Co Ltd
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Abstract

The invention belongs to the technical field of vehicles, and discloses a vehicle driving reminding method, device, equipment and storage medium. The method comprises the following steps: acquiring peripheral image data and peripheral sound data; extracting face images of the peripheral image data, and determining a target reminding object; determining a target reminding strategy according to the target reminding object and the peripheral sound data; and carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy. Through the mode, the target reminding object is determined through the peripheral image data, the corresponding target reminding strategy is determined through the peripheral sound data and the target reminding object, and the target reminding object is reminded of vehicle running according to the target reminding strategy, so that the target reminding object is considered while the sound data in the peripheral environment is considered, and intelligent running reminding is achieved.

Description

Vehicle driving reminding method, device, equipment and storage medium
Technical Field
The invention relates to the technical field of vehicles, in particular to a vehicle driving reminding method, device, equipment and a storage medium.
Background
The current electric automobile low-speed warning sound is mainly realized through low-speed pedestrian warning ware, and mainstream scheme is under any drive mode, and sound level, frequency range and the frequency shift of warning sound are all set for and work under pure electric mode. When part of the hybrid electric vehicle is in a hybrid drive mode or an internal combustion engine drive mode, the total noise level outside the whole vehicle of the electric vehicle exceeds the set value of the pure electric mode. At this moment, the warning sound increases unnecessary noise values inside and outside the vehicle, which easily affects comfort of passengers inside the vehicle and complaints of passengers outside the vehicle, and also causes energy waste of certain resources.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a vehicle driving reminding method, a vehicle driving reminding device, vehicle driving reminding equipment and a storage medium, and aims to solve the technical problem that intelligent driving reminding cannot be realized in the prior art.
In order to achieve the above object, the present invention provides a vehicle driving reminding method, which comprises the following steps:
acquiring peripheral image data and peripheral sound data;
extracting face images from the peripheral image data, and determining a target reminding object;
determining a target reminding strategy according to the target reminding object and the peripheral sound data;
and carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy.
Optionally, the determining a target reminding strategy according to the target reminding object and the peripheral sound data includes:
determining an average decibel value within a preset time period according to the peripheral sound data;
if the target reminding object is a preset object, acquiring a first preset decibel value and a second preset decibel value;
determining a target decibel value according to the first preset decibel value, the second preset decibel value and the average decibel value;
and determining a target reminding strategy according to the target decibel value.
Optionally, after determining the average decibel value within the preset time period according to the ambient sound data, the method further includes:
if the target reminding object is not a preset object, acquiring a first preset decibel value;
and determining a target decibel value according to the first preset decibel value and the average decibel value.
Optionally, the determining a target reminding strategy according to the target decibel value includes:
acquiring a preset light frequency, a preset light color and a preset projection distance;
determining a light reminding strategy according to the preset light frequency, the preset light color and the preset projection distance;
and determining a target reminding strategy according to the target decibel value and the light reminding strategy.
Optionally, after the vehicle driving reminding is performed on the target reminding object according to the target reminding strategy, the method further includes:
acquiring a preset time interval;
acquiring a third preset decibel value after the current time reaches the preset time interval;
determining a second reminding strategy according to the third preset decibel value, the target decibel value and the target reminding object;
and carrying out vehicle driving reminding again on the target reminding object according to the second reminding strategy.
Optionally, the determining a second reminding strategy according to the third preset decibel value, the target decibel value, and the target reminding object includes:
if the target reminding object is a preset object, acquiring a second preset decibel value;
determining a second target decibel value according to the second preset decibel value, the third preset decibel value and the target decibel value;
and if the second target decibel value does not exceed a preset decibel threshold value, determining a second reminding strategy according to the second target decibel value.
Optionally, after determining a second target decibel value according to the second preset decibel value, the third preset decibel value, and the target decibel value, the method further includes:
and if the second target decibel value exceeds a preset decibel threshold value, determining a second reminding strategy according to the preset decibel threshold value.
In order to achieve the above object, the present invention further provides a vehicle driving reminding apparatus, including:
an acquisition module for acquiring peripheral image data and peripheral sound data;
the extraction module is used for extracting the face image of the peripheral image data and determining a target reminding object;
the determining module is used for determining a target reminding strategy according to the target reminding object and the peripheral sound data;
and the reminding module is used for carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy.
Further, to achieve the above object, the present invention also provides a vehicle travel reminding apparatus including: the system comprises a memory, a processor and a vehicle running reminding program stored on the memory and capable of running on the processor, wherein the vehicle running reminding program is configured to realize the vehicle running reminding method.
In addition, in order to achieve the above object, the present invention further provides a storage medium, which stores a vehicle driving reminding program, wherein the vehicle driving reminding program realizes the vehicle driving reminding method as described above when executed by a processor.
The invention obtains the peripheral image data and the peripheral sound data; extracting face images from the peripheral image data, and determining a target reminding object; determining a target reminding strategy according to the target reminding object and the peripheral sound data; and carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy. Through the mode, the target reminding object is determined through the peripheral image data, the corresponding target reminding strategy is determined through the peripheral sound data and the target reminding object, and the vehicle driving reminding is carried out on the target reminding object according to the target reminding strategy, so that the target reminding object is considered while the sound data in the peripheral environment are considered, and the vehicle driving reminding of the organization to be detected is completed through intelligent driving reminding.
Drawings
Fig. 1 is a schematic structural diagram of a vehicle driving reminding device of a hardware operating environment according to an embodiment of the invention;
FIG. 2 is a schematic flow chart illustrating a first embodiment of a vehicle driving reminding method according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of a vehicle driving reminding method according to the present invention;
fig. 4 is a block diagram showing a first embodiment of the vehicle travel warning device according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a vehicle driving reminding device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the vehicle driving reminding apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a vehicle travel reminder.
In the vehicle travel reminding device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the vehicle driving reminding apparatus of the present invention may be provided in the vehicle driving reminding apparatus, which calls the vehicle driving reminding program stored in the memory 1005 through the processor 1001 and executes the vehicle driving reminding method provided by the embodiment of the present invention.
An embodiment of the present invention provides a vehicle driving reminding method, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the vehicle driving reminding method according to the present invention.
In this embodiment, the vehicle driving reminding method includes the following steps:
step S10: peripheral image data and peripheral sound data are acquired.
It should be noted that the execution subject of this embodiment is a vehicle controller, and the vehicle controller obtains the peripheral image data and the peripheral sound data acquired by the vehicle acquisition device, and performs face image extraction on the peripheral image data, so as to determine the target reminding object, determine the target reminding policy according to the target reminding object and the peripheral sound data, and perform vehicle driving reminding on the target reminding object according to the target reminding policy.
It is understood that the surrounding image data refers to an image of the surrounding environment of the vehicle acquired by an image pickup device of the vehicle. The ambient sound data refers to vehicle ambient sound data acquired by a sound pickup device of the vehicle.
In a specific implementation, the peripheral image data and the peripheral sound data are acquired, so that the target reminding strategy is planned according to the peripheral image data and the peripheral sound data.
Step S20: and extracting the face image of the peripheral image data, and determining a target reminding object.
It should be noted that after the peripheral image data is acquired, face image extraction is performed on the peripheral image data to obtain a face image, the face image is input into a preset age model, an n-dimensional feature vector is extracted from the face image, and the preset age model determines the corresponding age of the face image according to the n-dimensional vector, so that a target reminding object is determined. The preset age model is obtained by training a convolutional neural network model through a sample face image labeled with age. For example, face image extraction is performed on the peripheral image data to obtain a face image a, the face image a is input into a preset age model, an n-dimensional feature vector of the image a is extracted, and it is determined that the age corresponding to the image a is 65 years old, it is indicated that the target reminding object is an old person.
Step S30: and determining a target reminding strategy according to the target reminding object and the peripheral sound data.
It should be noted that, since the sensitivity of the objects of different age groups to sound is different, and the sound decibel value in the surrounding environment is limited, after the target reminding object and the surrounding sound data are obtained, the target decibel value needs to be determined according to the target reminding object and the surrounding sound data, and the target reminding strategy for reminding the target reminding object of vehicle driving needs to be determined according to the target decibel value, where the target reminding strategy is a method for informing the target reminding object that a vehicle approaches. For example, the target reminding strategy determined according to the target reminding object and the surrounding sound data is that three lights of white, yellow and blue are alternately flickered at a frequency of 3 times/second, and a whistle is sounded at a sound volume of 50 decibels, so that the old aged 60 is reminded that a vehicle is about to run close.
Step S40: and carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy.
It should be noted that after the target reminding strategy is determined, the vehicle driving reminding is performed on the target reminding object according to the target reminding strategy.
It can be understood that, in order to achieve a better reminding effect, a secondary vehicle driving reminding needs to be performed after a certain time interval, and further, after performing the vehicle driving reminding on the target reminding object according to the target reminding strategy, the method further includes: acquiring a preset time interval; acquiring a third preset decibel value after the current time reaches the preset time interval; determining a second reminding strategy according to the third preset decibel value, the target decibel value and the target reminding object; and carrying out vehicle driving reminding again on the target reminding object according to the second reminding strategy.
In specific implementation, after the target reminding object is reminded of the vehicle running according to the target reminding strategy, the time for completing the reminding of the vehicle running is obtained, and a preset time interval is obtained, wherein the preset time interval refers to a time interval for reminding the vehicle running again.
It should be noted that, after the preset time interval is obtained, after the current time reaches the preset time interval, a third preset decibel value is obtained, where the third preset decibel value refers to a decibel value that is increased when the vehicle driving is reminded again, and the third preset decibel value may be any decibel value from 5 decibels to 10 decibels, which is not limited in this embodiment. For example, the preset time interval is 2s, at 9:00:00 after completion of the alert, at 9:00: and 02 min to obtain a third preset decibel value of 5 decibels.
It is understood that the target decibel value refers to the whistle decibel value in the target alert policy. After the third preset decibel value is obtained, a second reminding strategy can be determined according to the third preset decibel value, the target decibel value and the target reminding object, and vehicle driving reminding is carried out on the target reminding object again according to the second reminding strategy.
It should be understood that the vehicle driving again can be reminded according to the driving distance of the vehicle. For example, after the vehicle driving reminding according to the target reminding strategy is finished, after the vehicle drives for a preset distance of 10 meters, the second target reminding strategy is determined, and the vehicle driving reminding is performed again on the target reminding object according to the second reminding strategy.
In a specific implementation, in order to obtain an accurate second reminding strategy, further, the determining a second reminding strategy according to the third preset decibel value, the target decibel value, and the target reminding object includes: if the target reminding object is a preset object, acquiring a second preset decibel value; determining a second target decibel value according to the second preset decibel value, the third preset decibel value and the target decibel value; and if the second target decibel value does not exceed a preset decibel threshold value, determining a second reminding strategy according to the second target decibel value.
It should be noted that, if the target reminding object is an old person aged over 60 or a child aged under 12, it is indicated that a second preset decibel value is obtained, the preset object is an old person aged over 60 or a child aged under 12, the second preset decibel value may be any one decibel value of 2 to 5 decibels, and a second target decibel value is determined according to the second preset decibel value, a third preset decibel value, and the target decibel value. For example, the target decibel value is 45 decibels, the second preset decibel value is 3 decibels, the third preset decibel value is 5 decibels, the third preset decibel value needs to be added to the target decibel value because vehicle driving is reminded again, meanwhile, the second preset decibel value needs to be added because the target reminding object is a 65-year old, and the finally determined second target decibel value is 53 decibels.
It can be understood that, if the target reminding object is not a preset object, the second target decibel value is determined according to the third preset decibel value and the target decibel value.
In a specific implementation, after the second target decibel value is obtained, a second reminding strategy is determined according to the second target decibel value and a second light reminding strategy, and the second light reminding strategy is that three kinds of lights of white, yellow and blue alternately flicker at a frequency of 5 times/second. For example, if the second target decibel value is 53 decibels, the second target alert strategy is to alternately flash the white, yellow and blue lights at a frequency of 5 times/second and to whistle at a volume of 50 decibels.
It should be noted that, in order to ensure that other people are not affected while the vehicle is being reminded, after determining the second target decibel value according to the second preset decibel value, the third preset decibel value, and the target decibel value, the method further includes: and if the second target decibel value exceeds a preset decibel threshold value, determining a second reminding strategy according to the preset decibel threshold value.
It can be understood that the preset decibel threshold refers to a preset decibel threshold, in this embodiment, the preset decibel threshold is exemplified by 74 decibels, when the second target decibel value does not exceed the preset decibel threshold, the second reminding strategy is determined according to the second target decibel value, and if the second target decibel value exceeds the preset decibel threshold, the second reminding strategy is determined according to the preset decibel threshold.
The present embodiment obtains peripheral image data and peripheral sound data; extracting face images from the peripheral image data, and determining a target reminding object; determining a target reminding strategy according to the target reminding object and the peripheral sound data; and carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy. Through the mode, the target reminding object is determined through the peripheral image data, the corresponding target reminding strategy is determined through the peripheral sound data and the target reminding object, and vehicle driving reminding is carried out on the target reminding object according to the target reminding strategy, so that the sound data in the peripheral environment and the target reminding object are considered, and intelligent driving reminding is realized.
Referring to fig. 3, fig. 3 is a schematic flow chart of a vehicle driving reminding method according to a second embodiment of the present invention.
Based on the first embodiment, the step S30 in the vehicle driving reminding method of the embodiment includes:
step S31: and determining an average decibel value within a preset time period according to the peripheral sound data.
It should be noted that after the ambient sound data of the vehicle acquired through the sound pickup device of the vehicle is acquired, an average decibel value within a preset time period is determined according to the ambient sound data, and the average decibel value may represent a sound decibel value of an ambient environment where the vehicle is located. For example, after the ambient sound data is acquired, the average decibel value is determined to be 36 decibels within 2 seconds from the ambient sound data.
It can be understood that, in order to make the vehicle driving reminder have a good reminding effect, further, after determining the average decibel value within the preset time period according to the ambient sound data, the method further includes: if the target reminding object is not a preset object, acquiring a first preset decibel value; and determining a target decibel value according to the first preset decibel value and the average decibel value.
In a specific implementation, the preset object is an old person aged over 60 years old or a child aged under 12 years old, and if the target reminding object is not the preset object, the first preset decibel value is obtained, which is exemplified by 5 decibels in this embodiment, and may also be other values, which is not limited in this embodiment. For example, if the average db value is 36 and the first predetermined db value is 5 db, the target db value can be determined to be 41 db.
Step S32: and if the target reminding object is a preset object, acquiring a first preset decibel value and a second preset decibel value.
It should be noted that, if the target reminding object is a preset object, the first preset decibel value and the second preset decibel value are obtained. The second predetermined decibel value may be any one of 2 to 5 decibels.
Step S33: and determining a target decibel value according to the first preset decibel value, the second preset decibel value and the average decibel value.
It should be noted that after the first preset decibel value, the second preset decibel value, and the average decibel value are obtained, the first preset decibel value, the second preset decibel value, and the average decibel value may be obtained. For example, the first preset decibel value is 5 decibels, the second preset decibel value is 3 decibels, and the average decibel value is 36 decibels, when the vehicle driving reminding is performed, the first preset decibel value needs to be added on the basis of the average decibel value, and since the target reminding object is a preset object, the second preset decibel value needs to be added, and the target decibel value is determined to be 44 decibels.
Step S34: and determining a target reminding strategy according to the target decibel value.
It should be noted that after the target decibel value is obtained, the target reminding strategy can be determined according to the target decibel value.
It can be understood that the reminding effect is better. Further, the determining a target reminding strategy according to the target decibel value includes: acquiring a preset light frequency, a preset light color and a preset projection distance; determining a light reminding strategy according to the preset light frequency, the preset light color and the preset projection distance; and determining a target reminding strategy according to the target decibel value and the light reminding strategy.
In a specific implementation, a preset light frequency, a preset light color and a preset projection distance are obtained, wherein the preset projection distance refers to a projection distance in front of a vehicle. When a preset light frequency, a preset light color and a preset projection distance are obtained, a light reminding strategy can be determined, for example, a target decibel value enables an object at a distance of L meters from a vehicle to hear a warning sound, the preset projection distance is L +8 meters, the preset light color is white, yellow and blue, the preset light frequency is 3 times/second, and the target decibel value is 66 decibels, the target reminding strategy is that white, yellow and blue lights are alternately flickered and projected to a position of L +8 meters in front of the vehicle at the frequency of 3 times/second, and whistle is conducted at the volume of 66 decibels.
The embodiment determines an average decibel value within a preset time period according to the ambient sound data; if the target reminding object is a preset object, acquiring a first preset decibel value and a second preset decibel value; determining a target decibel value according to the first preset decibel value, the second preset decibel value and the average decibel value; and determining a target reminding strategy according to the target decibel value. Different target reminding strategies are determined according to the target reminding objects of different age groups, so that the vehicle driving reminding has a good reminding effect.
Further, referring to fig. 4, the present embodiment further provides a vehicle driving reminding device, including:
an obtaining module 10 is configured to obtain the peripheral image data and the peripheral sound data.
And the extraction module 20 is configured to perform face image extraction on the peripheral image data, and determine a target reminding object.
And the determining module 30 is configured to determine a target reminding strategy according to the target reminding object and the ambient sound data.
And the reminding module 40 is used for carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy.
The present embodiment obtains peripheral image data and peripheral sound data; extracting face images of the peripheral image data, and determining a target reminding object; determining a target reminding strategy according to the target reminding object and the peripheral sound data; and carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy. Through the mode, the target reminding object is determined through the peripheral image data, the corresponding target reminding strategy is determined through the peripheral sound data and the target reminding object, and the target reminding object is reminded of vehicle running according to the target reminding strategy, so that the target reminding object is considered while the sound data in the peripheral environment is considered, and intelligent running reminding is achieved.
In an embodiment, the determining module 30 is further configured to determine an average decibel value within a preset time period according to the ambient sound data;
if the target reminding object is a preset object, acquiring a first preset decibel value and a second preset decibel value;
determining a target decibel value according to the first preset decibel value, the second preset decibel value and the average decibel value;
and determining a target reminding strategy according to the target decibel value.
In an embodiment, the determining module 30 is further configured to obtain a first preset decibel value if the target alert object is not a preset object;
and determining a target decibel value according to the first preset decibel value and the average decibel value.
In an embodiment, the determining module 30 is further configured to obtain a preset lighting frequency, a preset lighting color, and a preset projection distance;
determining a light reminding strategy according to the preset light frequency, the preset light color and the preset projection distance;
and determining a target reminding strategy according to the target decibel value and the light reminding strategy.
In an embodiment, the reminding module 40 is further configured to obtain a preset time interval;
acquiring a third preset decibel value after the current time reaches the preset time interval;
determining a second reminding strategy according to the third preset decibel value, the target decibel value and the target reminding object;
and carrying out vehicle driving reminding again on the target reminding object according to the second reminding strategy.
In an embodiment, the reminding module 40 is further configured to obtain a second preset decibel value if the target reminding object is a preset object;
determining a second target decibel value according to the second preset decibel value, the third preset decibel value and the target decibel value;
and if the second target decibel value does not exceed a preset decibel threshold value, determining a second reminding strategy according to the second target decibel value.
In an embodiment, the reminding module 40 is further configured to determine a second reminding strategy according to a preset decibel threshold if the second target decibel value exceeds the preset decibel threshold.
Since the present apparatus employs all technical solutions of all the above embodiments, at least all the beneficial effects brought by the technical solutions of the above embodiments are achieved, and are not described in detail herein.
In addition, an embodiment of the present invention further provides a storage medium, where a vehicle driving reminding program is stored on the storage medium, and the vehicle driving reminding program, when executed by a processor, implements the steps of the vehicle driving reminding method as described above.
Since the storage medium adopts all technical solutions of all the above embodiments, at least all the beneficial effects brought by the technical solutions of the above embodiments are achieved, and details are not repeated herein.
It should be noted that the above-mentioned work flows are only illustrative and do not limit the scope of the present invention, and in practical applications, those skilled in the art may select some or all of them according to actual needs to implement the purpose of the solution of the present embodiment, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the vehicle driving reminding method provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (8)

1. A vehicle driving reminding method is characterized by comprising the following steps:
acquiring peripheral image data and peripheral sound data;
extracting face images from the peripheral image data, and determining a target reminding object;
determining a target reminding strategy according to the target reminding object and the peripheral sound data;
carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy;
the extracting of the face image of the peripheral image data and the determining of the target reminding object include:
face extraction is carried out on the peripheral image data to obtain a face image;
inputting the face image into a preset age model to obtain a feature vector;
determining the corresponding age of the face image according to the feature vector and the preset age model;
determining a target reminding object according to the corresponding age of the face image;
the determining a target reminding strategy according to the target reminding object and the peripheral sound data comprises the following steps:
determining an average decibel value within a preset time period according to the peripheral sound data;
if the target reminding object is a preset object, acquiring a first preset decibel value and a second preset decibel value;
determining a target decibel value according to the first preset decibel value, the second preset decibel value and the average decibel value;
determining a target reminding strategy according to the target decibel value;
wherein, the determining a target reminding strategy according to the target decibel value comprises:
acquiring a preset light frequency, a preset light color and a preset projection distance;
determining a light reminding strategy according to the preset light frequency, the preset light color and the preset projection distance;
and determining a target reminding strategy according to the target decibel value and the light reminding strategy.
2. The vehicle driving reminding method according to claim 1, wherein after determining the average decibel value over a preset time period according to the ambient sound data, the method further comprises:
if the target reminding object is not a preset object, acquiring a first preset decibel value;
and determining a target decibel value according to the first preset decibel value and the average decibel value.
3. The vehicle driving reminding method according to claim 1 or 2, wherein after the vehicle driving reminding is performed on the target reminding object according to the target reminding strategy, the method further comprises:
acquiring a preset time interval;
acquiring a third preset decibel value after the current time reaches the preset time interval;
determining a second reminding strategy according to the third preset decibel value, the target decibel value and the target reminding object;
and carrying out vehicle driving reminding again on the target reminding object according to the second reminding strategy.
4. The vehicle driving reminding method according to claim 3, wherein the determining a second reminding strategy according to the third preset decibel value, the target decibel value and the target reminding object comprises:
if the target reminding object is a preset object, acquiring a second preset decibel value;
determining a second target decibel value according to the second preset decibel value, the third preset decibel value and the target decibel value;
and if the second target decibel value does not exceed a preset decibel threshold value, determining a second reminding strategy according to the second target decibel value.
5. The method as claimed in claim 4, wherein after determining the second target decibel value according to the second preset decibel value, the third preset decibel value, and the target decibel value, the method further comprises:
and if the second target decibel value exceeds a preset decibel threshold value, determining a second reminding strategy according to the preset decibel threshold value.
6. A vehicle travel prompting apparatus, characterized by comprising:
an acquisition module for acquiring peripheral image data and peripheral sound data;
the extraction module is used for extracting the face image of the peripheral image data and determining a target reminding object;
the determining module is used for determining a target reminding strategy according to the target reminding object and the peripheral sound data;
the reminding module is used for carrying out vehicle driving reminding on the target reminding object according to the target reminding strategy;
the extraction module is also used for carrying out face extraction on the peripheral image data to obtain a face image;
inputting the face image into a preset age model to obtain a feature vector;
determining the corresponding age of the face image according to the feature vector and the preset age model;
determining a target reminding object according to the age corresponding to the face image;
the determining module is further configured to determine an average decibel value within a preset time period according to the ambient sound data;
if the target reminding object is a preset object, acquiring a first preset decibel value and a second preset decibel value;
determining a target decibel value according to the first preset decibel value, the second preset decibel value and the average decibel value;
determining a target reminding strategy according to the target decibel value;
the determining module is further used for acquiring a preset lighting frequency, a preset lighting color and a preset projection distance;
determining a light reminding strategy according to the preset light frequency, the preset light color and the preset projection distance;
and determining a target reminding strategy according to the target decibel value and the light reminding strategy.
7. A vehicle travel warning apparatus, characterized in that the apparatus comprises: the system comprises a memory, a processor and a vehicle driving reminding program which is stored on the memory and can run on the processor, wherein the vehicle driving reminding program is configured to realize the vehicle driving reminding method according to any one of claims 1 to 5.
8. A storage medium having a vehicle travel reminding program stored thereon, wherein the vehicle travel reminding program, when executed by a processor, implements the vehicle travel reminding method according to any one of claims 1 to 5.
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