CN115131930A - Automobile alarm control method and device and vehicle - Google Patents
Automobile alarm control method and device and vehicle Download PDFInfo
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- CN115131930A CN115131930A CN202210698298.2A CN202210698298A CN115131930A CN 115131930 A CN115131930 A CN 115131930A CN 202210698298 A CN202210698298 A CN 202210698298A CN 115131930 A CN115131930 A CN 115131930A
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- 238000000034 method Methods 0.000 title claims abstract description 54
- 230000005484 gravity Effects 0.000 claims abstract description 131
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 abstract description 12
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
- G08B13/06—Mechanical actuation by tampering with fastening
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
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Abstract
The application discloses a control method for automobile alarm, which comprises the following steps: acquiring gravity values acquired by a plurality of gravity sensors; acquiring impact information of the vehicle based on the gravity values acquired by the gravity sensors; when the impact information of the vehicle represents that the vehicle is impacted by external force, acquiring an environment image of the external environment of the vehicle; the environmental image is input into the image recognition model, the impact type corresponding to the impact information is recognized, the accuracy of judgment of a vehicle control system is improved based on the dual judgment process of the impact information and the environmental image of the vehicle, the alarm sound of the vehicle under the condition of misjudgment can be effectively avoided, and therefore the trouble of surrounding residents and pedestrians is reduced.
Description
Technical Field
The application relates to the technical field of vehicle control, in particular to a control method and device for automobile alarm and a vehicle.
Background
Along with the development of society, when the car is gradually popularized, corresponding problem is outstanding day by day, if the parking stall is not enough, leads to the vehicle often not to have special department of parking to cause the accident that the vehicle scratched, in addition, accidents such as malicious destruction, accidental collision take place occasionally, especially in some malicious accident that destroys, the car owner generally is very far away from the car, thereby the alarm that automobile body anti-theft system sent can't warn the car owner, and then causes loss of property.
In the related art, the existing vehicle body anti-theft system of the vehicle detects the vibration of the vehicle body based on the gravity sensor, but the erroneous judgment can be caused only by the gravity sensor, so that the anti-theft accuracy of the vehicle body anti-theft system is low.
Disclosure of Invention
The application provides a control method and device for automobile alarm and a vehicle aiming at the problems, and the specific technical scheme is as follows:
in a first aspect of the present application, a method for controlling an alarm of a vehicle is provided, the method including:
acquiring collision information of a vehicle;
when the impact information of the vehicle represents that the vehicle is impacted by external force, acquiring an environment image of the external environment of the vehicle;
and inputting the environment image into an image recognition model, and recognizing the impact type corresponding to the impact information.
Optionally, the obtaining of the collision information of the vehicle comprises:
acquiring gravity values acquired by a plurality of gravity sensors;
and obtaining the impact information based on the gravity values acquired by the gravity sensors.
Optionally, obtaining the impact information based on the gravity values collected by the gravity sensors includes:
determining a target gravity sensor with a changed gravity value from a plurality of gravity sensors based on the gravity values acquired by the plurality of gravity sensors;
acquiring a vehicle area with a changed gravity value based on the position of the target gravity sensor;
and obtaining the impact information based on the vehicle area with the changed gravity value.
Optionally, when the impact information of the vehicle indicates that the vehicle is impacted by an external force, acquiring an environment image of an environment outside the vehicle, including:
when the size of the vehicle area is not larger than the size of the preset area, the impact information represents that the vehicle is impacted by external force, and image acquisition is carried out on the external environment of the vehicle to obtain an environment image;
the method further comprises the following steps:
when the size of the vehicle area exceeds the size of a preset area, the impact information represents that the vehicle is impacted by non-external force, and the vehicle is controlled to be in a dormant state.
Optionally, the impact types include: a first type and a second type, the first type being a severe weather caused impact type, the second type being an external motorised device or a pedestrian caused impact type;
the method further comprises the following steps:
controlling the vehicle to enter a sleep state if the impact type is the first type;
and controlling the vehicle to send prompt information to a legal user side under the condition that the impact type is the second type.
Optionally, the prompt information is generated based on the following steps:
identifying the environment image to obtain an identifier of an external mobile device in the environment image;
and generating the prompt message based on the identification and the environment image.
Optionally, the method further comprises:
acquiring a video file corresponding to the environment image under the condition that the impact type is the second type;
and storing the video file into a memory of the vehicle, and sending the video file to a legal user side.
In a second aspect of the present application, a control device for an alarm of a vehicle is provided, the device comprising:
a first acquisition module: the system is used for acquiring the collision information of the vehicle;
a second obtaining module: the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring an environment image of the external environment of the vehicle when the impact information of the vehicle represents that the vehicle is impacted by external force;
an identification module: the image recognition module is used for inputting the environment image into an image recognition model and recognizing the impact type corresponding to the impact information.
Optionally, the first obtaining module is specifically configured to:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring the impact information of the vehicle based on the gravity values acquired by the gravity sensors.
In a third aspect of the present application, a vehicle is presented, the vehicle comprising: the automobile alarm control system comprises a processor and a memory, wherein the memory stores machine executable instructions capable of being executed by the processor, and the processor is used for executing the machine executable instructions so as to realize the automobile alarm control method.
The application has the following beneficial effects:
the embodiment of the application provides a control method for automobile alarm, wherein an environment image outside a vehicle is obtained based on impact information obtained by the vehicle, the environment image is input into an image recognition model, and the type of impact is verified again by combining an external environment image.
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In order to more clearly illustrate the technical solutions of the present application, the drawings required to be used in the description of the present application will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings may be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic flow chart illustrating a method for controlling an alarm of a vehicle according to a first embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a method for controlling an alarm of a vehicle according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a control device for an automobile alarm according to a third embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the prior art, a vehicle body anti-theft system is generally adopted to give an alarm to remind a person causing an accident that a vehicle has an accident, and the vehicle body anti-theft system gives an alarm to remind the person causing the accident based on the fact that a gravity sensor of the vehicle detects the change of the vibration or the gravity value of the vehicle body after the vibration or the gravity value of the vehicle body detected by the gravity sensor changes.
Under the condition, the scheme provides a solution, and the specific concept is as follows: and acquiring an environment image outside the vehicle based on the impact information acquired by the vehicle, and inputting the environment image into an image recognition model to acquire an impact type corresponding to the impact information, so that the vehicle can control the state of the vehicle in a targeted manner according to the impact type.
Referring to fig. 1, fig. 1 shows a schematic flow chart of a control method for an automobile alarm according to an embodiment of the present application, which includes the following specific steps:
in a first aspect of the present application, a method for controlling an alarm of a vehicle is provided, the method comprising:
s101, obtaining collision information of the vehicle.
In a specific implementation, the impact information is obtained based on a gravity signal of a gravity sensor of the vehicle, and the impact information is used for representing whether the vehicle is impacted by an external force or not. The gravity sensor utilizes the voltage generated by the crystal deformation caused by the acceleration in the gravity sensor, and the acceleration can be converted into voltage output by calculating the relation between the generated voltage and the applied acceleration. Therefore, the change of the gravity value received by the gravity sensor can be explained only by the crystal deformation in the gravity sensor. Generally, when a gravity signal is received, it is necessary to determine a gravity value corresponding to the gravity signal, and determine that the vehicle is subjected to an external impact according to impact information generated from gravity information corresponding to the gravity value exceeding a preset threshold.
S102, when the impact information of the vehicle represents that the vehicle is impacted by external force, obtaining an environment image of the external environment of the vehicle.
In a specific implementation process, when a vehicle is impacted by external force, that is, when the gravity value transmitted by the gravity sensor exceeds a preset threshold value, an environment image of an external environment of the vehicle needs to be acquired, wherein the environment image is acquired based on a vehicle-mounted camera or a vehicle data recorder.
S103, inputting the environment image into an image recognition model, and recognizing the impact type corresponding to the impact information.
In a specific implementation, the impact type includes an impact type caused by severe weather and an impact type caused by an external mobile device or a pedestrian, so the training sample of the image recognition model includes a first sample and a second sample, wherein the first sample is an image of severe weather such as rain and snow, the second sample is an image of different speeds of the external mobile device when the external mobile device is driven to a vehicle target range, or images of various mobile devices, and a human body posture image of a pedestrian outside the vehicle when the pedestrian breaks or tends to break the vehicle.
The embodiment of the application provides a control method for automobile alarm, wherein an environment image outside a vehicle is obtained based on impact information obtained by the vehicle, the environment image is input into an image recognition model, and the type of impact is verified again by combining an external environment image.
In addition, the scheme uses the vehicle impact information acquired by the gravity sensor of the vehicle and obtains the environment image outside the vehicle based on the vehicle-mounted camera or the automobile data recorder, changes of hardware facilities and circuit structures are avoided, the judgment accuracy of the vehicle control system is increased only by changing the vehicle control logic, and the judgment accuracy of whether the vehicle is impacted by external force is higher under the condition of the same cost.
In some embodiments, obtaining impact information for a vehicle includes:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring the impact information of the vehicle based on the gravity values acquired by the gravity sensors.
In the specific implementation process, due to the fact that the pedestrians pass through the narrow road to cause slight vibration to the vehicle and the fact that the vehicle body of the vehicle vibrates under the condition that the weather outside the vehicle is light rain and wind, if the gravity sensor detects that the gravity value changes, the vehicle is triggered to give an alarm, surrounding residents and pedestrians are disturbed, and the vehicle owner can possibly misunderstand the pedestrians.
Wherein, when the pedestrian slightly collided, whether need further judge gravity sensor's gravity value and exceed preset threshold value, when weather led to the fact vibrations to the vehicle, need judge that the vehicle receives the scope size of vibrations, specific implementation is as follows:
in a first implementation mode, acquiring a gravity value acquired by a plurality of gravity sensors at a certain time, and determining a target gravity sensor with a changed gravity value from the plurality of gravity sensors based on the gravity value acquired by the plurality of gravity sensors; acquiring a vehicle area with a changed gravity value based on the position of the target gravity sensor; and obtaining the impact information based on the vehicle area with the changed gravity value.
Specifically, when the vehicle area does not exceed the size of the preset area, the impact information represents that the vehicle is impacted by external force, and image acquisition is performed on the external environment of the vehicle to obtain an environment image. When the size of the vehicle area exceeds the preset area size, the impact information represents that the vehicle is impacted by non-external force.
In a second implementation manner, the gravity values acquired by a plurality of gravity sensors at a certain time are acquired, and the impact information is acquired based on the target gravity sensor whose gravity value is greater than or equal to a preset threshold.
According to the embodiment, after the vehicle acquires the gravity values acquired by the gravity sensors, the area where the gravity value changes is judged based on the gravity values acquired by the gravity sensors, and/or the size of the force of impact is judged based on the gravity sensor of which the gravity value is greater than or equal to the preset threshold value, so that the impact information of the vehicle can be obtained, various non-accident situations are considered, and the judgment accuracy of the vehicle control system is further improved.
In some embodiments, obtaining the impact information based on the gravity values collected by the plurality of gravity sensors comprises:
determining a target gravity sensor with a changed gravity value from a plurality of gravity sensors based on the gravity values acquired by the plurality of gravity sensors;
acquiring a vehicle area with a changed gravity value based on the position of the target gravity sensor;
and obtaining the impact information based on the vehicle area with the changed gravity value.
In a specific implementation, the target gravity sensor refers to a gravity sensor that receives a gravity value exceeding a preset threshold, wherein the gravity sensor is installed at a plurality of positions of the vehicle, such as a bumper, a vehicle body, a trunk and the like.
According to the embodiment, after the gravity value change of the gravity sensors of the vehicle is detected, the gravity sensors corresponding to the gravity value exceeding the preset threshold value are all used as the target gravity sensors, so that the vehicle area of the vehicle with the gravity value change is obtained according to the distribution position of the target gravity sensors, the impact information is obtained, the impact type corresponding to the impact information can be judged by combining with the environment image, and the judgment accuracy of the vehicle control system is improved.
In some embodiments, obtaining an environmental image of an environment external to the vehicle when the impact information of the vehicle characterizes the vehicle as being impacted by the external force comprises:
and when the size of the vehicle area is not more than that of the preset area, the impact information represents that the vehicle is impacted by external force, and image acquisition is carried out on the external environment of the vehicle to obtain an environment image.
In a specific implementation process, when the size of the vehicle area is not more than the size of the preset area, various conditions exist, including conditions such as malicious damage, vehicle scraping accidents, pedestrian mistaken collision, falling of an object on a tree and the like, so that the specific conditions need to be further judged based on an external environment image of the vehicle, and the judgment accuracy of the vehicle control system is improved.
The method further comprises the following steps: when the size of the vehicle area exceeds the size of a preset area, the impact information represents that the vehicle is impacted by non-external force, and the vehicle is controlled to be in a dormant state.
In a specific implementation process, when the size of the vehicle area exceeds the size of the preset area, it may be determined that the vehicle is a vehicle body vibration caused by weather, generally caused by severe weather such as heavy rain or hail, and the preset area may refer to a range size including a door, a roof, a bonnet, and tires of the vehicle, and therefore, when the size of the vehicle area exceeds the size of the preset area, the vehicle is directly controlled to be in a dormant state without further acquiring an environmental image, so as to reduce energy consumption control of the vehicle.
In addition, if when the vehicle is impacted, no matter the size of the vehicle area, prompt information can be sent to the user, and the user can timely go to the place where the vehicle is located to check specific conditions so as to remedy the situation in a targeted manner and reduce property loss of the vehicle as much as possible.
In some embodiments, the impact types include: a first type and a second type, the first type being a severe weather caused impact type, the second type being an external motorised device or a pedestrian caused impact type;
the method further comprises the following steps:
controlling the vehicle to enter a sleep state if the impact type is the first type;
and controlling the vehicle to send prompt information to a legal user side under the condition that the impact type is the second type.
In a specific implementation process, the legal user side comprises the mobile equipment of the vehicle owner or the corresponding user side input into the driving terminal, in general, the prompt message can be sent to the vehicle owner, and if the vehicle owner does not check the prompt message for a long time, the message is sent to the other legal user sides.
When the vehicle judges that the impact type is caused by severe weather, the vehicle is controlled to enter a dormant state so as to reduce the energy consumption of the vehicle, and when the vehicle judges that the impact type is caused by an external motor device or a pedestrian, the vehicle is controlled to send prompt information to a legal user side so as to remind a vehicle owner to check the state of the vehicle and reduce the property loss of the vehicle owner.
In some embodiments, the hint information is generated based on:
identifying the environment image to obtain an identifier of an external mobile device in the environment image;
and generating the prompt information based on the identification and the environment image.
In a specific implementation process, when the impact type is the second type, if the impact is caused by the external mobile device, identifying information in the environment image, obtaining an identifier of the external mobile device in the environment image, and generating prompt information for prompting an owner of the vehicle from the environment image and the identified identifier.
In addition, if the impact is caused by the pedestrian, only the environment image including the face of the pedestrian needs to be generated into prompt information and sent to the legal user side.
In some embodiments, the method further comprises:
editing the environment image as a video file if the impact type is the second type;
and storing the video file into a memory of the vehicle, and sending the video file to a legal user side.
In a specific implementation process, when the vehicle is impacted by an external mobile device or a pedestrian, evidence is required when a vehicle owner or the pedestrian of the external mobile device is requested, so that the environmental image is edited into a video file and stored in a memory of the vehicle, the video file is sent to a legal user end, and if the vehicle is seriously damaged and the content of the memory cannot be read, the vehicle owner can conveniently claim the hit person through the video file at the legal user end as the evidence.
Referring to fig. 2, fig. 2 shows a schematic flow chart of a control method for an automobile alarm in a second embodiment of the present application, and the specific scheme is as follows:
s1, acquiring gravity values of the gravity sensors, and taking the gravity sensor corresponding to the gravity value exceeding a preset threshold value as a target gravity sensor;
s2, acquiring a vehicle area with gravity change of the vehicle based on the target gravity sensor;
s3, judging whether the size of the vehicle area exceeds the size of the preset area, if so, controlling the vehicle to enter a dormant state, and if not, executing the step S4;
s4, acquiring an environment image of the external environment of the vehicle under the condition that the size of the vehicle area does not exceed the size of the preset area;
s5, inputting the environment image into the value image recognition model to obtain the impact type of the vehicle;
s6, judging whether the impact type is caused by an external power device or a pedestrian, if not, controlling the vehicle to enter a dormant state, and if so, executing a step S7;
and S7, controlling the vehicle to send prompt information to a legal user end when the impact type is caused by an external motor device or a pedestrian.
According to the scheme, based on the dual judgment process of the impact information and the environmental image of the vehicle, the judgment accuracy of the vehicle control system is increased, and the situation that the vehicle makes a warning sound under the misjudgment condition can be effectively avoided, so that the trouble to surrounding residents and pedestrians is reduced.
In addition, in order to achieve the above object, a third embodiment of the present application further provides a control device for an automobile alarm, and referring to fig. 3, fig. 3 shows a schematic structural diagram of a control device for an automobile alarm in an embodiment of the present application, where the device includes:
the first acquisition module 1001: the system is used for acquiring collision information of the vehicle;
the second obtaining module 1002: the vehicle external impact detection device is used for acquiring an environment image of the external environment of the vehicle when the impact information of the vehicle represents that the vehicle is impacted by external force;
the identification module 1003: the image recognition module is used for inputting the environment image into an image recognition model and recognizing the impact type corresponding to the impact information.
It should be noted that, in the present embodiment, each module in the control device for an automobile alarm corresponds to each step in the control method for an automobile alarm in the foregoing embodiment one by one, and therefore, the specific implementation of the present embodiment may refer to the implementation of the control method for an automobile alarm, which is not described herein again.
In some embodiments, the first obtaining module 1001 includes:
a first obtaining submodule: the gravity sensor is used for acquiring gravity values acquired by a plurality of gravity sensors;
a second obtaining submodule: the impact information is obtained based on the gravity values collected by the gravity sensors.
In some embodiments, the second obtaining sub-module is specifically configured to:
determining a target gravity sensor with a changed gravity value from a plurality of gravity sensors based on the gravity values acquired by the plurality of gravity sensors;
acquiring a vehicle area with a changed gravity value based on the position of the target gravity sensor;
the impact information is obtained based on the vehicle region where the gravity value changes.
In some embodiments, the second obtaining module 1002 is specifically configured to:
when the size of the vehicle area does not exceed the size of the preset area, the impact information represents that the vehicle is impacted by external force, and image acquisition is carried out on the external environment of the vehicle to obtain an environment image;
the device further comprises:
a first control module: and when the size of the vehicle area exceeds the size of a preset area, the impact information represents that the vehicle is impacted by non-external force, and the vehicle is controlled to be in a dormant state.
In some embodiments, the impact types include: a first type and a second type, the first type being a severe weather caused impact type, the second type being an external motorised device or a pedestrian caused impact type; the device further comprises:
a second control module: for controlling the vehicle to enter a sleep state if the impact type is the first type;
a third control module: and the vehicle is controlled to send prompt information to a legal user terminal under the condition that the impact type is the second type.
In some embodiments, the apparatus further comprises:
an identification obtaining module: the environment image recognition module is used for recognizing the environment image to obtain the identification of the external mobile device in the environment image;
a generation module: the prompt information is generated based on the identification and the environment image.
In some embodiments, the apparatus further comprises:
an editing module: the video file corresponding to the environment image is acquired when the impact type is the second type;
a sending module: and the video file is stored in a memory of the vehicle and is sent to a legal user side.
Further, to achieve the above object, a fourth embodiment of the present application also provides a vehicle including: the automobile alarm control system comprises a processor and a memory, wherein the memory stores machine executable instructions capable of being executed by the processor, and the processor is used for executing the machine executable instructions so as to realize the automobile alarm control method.
It can be understood that the vehicle shown in the present application may be various types of automobiles, such as a small passenger car, a medium passenger car, a large passenger car, and a heavy truck, and the control method for automobile alarm provided in the present application may be applied to these various types of automobiles to optimize the use experience of the driver.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or terminal equipment comprising the element.
The method, the device and the vehicle for controlling the automobile alarm are described in detail, specific examples are applied in the description to explain the principle and the implementation mode of the application, and the description of the embodiments is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific implementation manner and the application scope may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method for controlling an alarm of a vehicle, the method comprising:
acquiring collision information of a vehicle;
when the impact information of the vehicle represents that the vehicle is impacted by external force, acquiring an environment image of the external environment of the vehicle;
and inputting the environment image into an image recognition model, and recognizing the impact type corresponding to the impact information.
2. The method for controlling an alarm of a vehicle according to claim 1, wherein the obtaining of the collision information of the vehicle comprises:
acquiring gravity values acquired by a plurality of gravity sensors;
and obtaining the impact information based on the gravity values acquired by the gravity sensors.
3. The method for controlling an alarm of a vehicle according to claim 2, wherein obtaining the impact information based on the gravity values collected by the gravity sensors comprises:
determining a target gravity sensor with a changed gravity value from a plurality of gravity sensors based on the gravity values acquired by the plurality of gravity sensors;
acquiring a vehicle area with a changed gravity value based on the position of the target gravity sensor;
and obtaining the impact information based on the vehicle area with the changed gravity value.
4. The method for controlling an automobile alarm according to claim 3, wherein when the impact information of the vehicle indicates that the vehicle is impacted by an external force, acquiring an environmental image of an environment outside the vehicle comprises:
when the size of the vehicle area is not larger than the size of the preset area, the impact information represents that the vehicle is impacted by external force, and image acquisition is carried out on the external environment of the vehicle to obtain an environment image;
the method further comprises the following steps:
when the size of the vehicle area exceeds the size of a preset area, the impact information represents that the vehicle is impacted by non-external force, and the vehicle is controlled to be in a dormant state.
5. The method of claim 1, wherein the impact type includes: a first type and a second type, the first type being a severe weather caused impact type, the second type being an impact type caused by an external mobility device or a pedestrian;
the method further comprises the following steps:
controlling the vehicle to enter a sleep state if the impact type is the first type;
and controlling the vehicle to send prompt information to a legal user side under the condition that the impact type is the second type.
6. The method for controlling an automobile alarm according to claim 5, wherein the prompt message is generated based on the steps of:
identifying the environment image to obtain an identifier of an external mobile device in the environment image;
and generating the prompt information based on the identification and the environment image.
7. The method for controlling an automobile alarm according to claim 5, further comprising:
acquiring a video file corresponding to the environment image under the condition that the impact type is the second type;
and storing the video file into a memory of the vehicle, and sending the video file to a legal user side.
8. A control device for an automobile alarm, the device comprising:
a first obtaining module: the system is used for acquiring collision information of the vehicle;
a second obtaining module: the system comprises a data acquisition unit, a data processing unit and a data processing unit, wherein the data acquisition unit is used for acquiring an environment image of the external environment of the vehicle when the impact information of the vehicle represents that the vehicle is impacted by external force;
an identification module: the image recognition module is used for inputting the environment image into an image recognition model and recognizing the impact type corresponding to the impact information.
9. The device for controlling car alarm according to claim 8, wherein the first obtaining module is specifically configured to:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring the impact information of the vehicle based on the gravity values acquired by the gravity sensors.
10. A vehicle, characterized in that the vehicle comprises: a processor and a memory, the memory storing machine executable instructions executable by the processor, the processor being configured to execute the machine executable instructions to implement the method of controlling an automotive alarm according to any one of claims 1 to 7.
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| CN202210698298.2A CN115131930B (en) | 2022-06-20 | 2022-06-20 | Automobile alarm control method and device and vehicle |
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| CN202210698298.2A CN115131930B (en) | 2022-06-20 | 2022-06-20 | Automobile alarm control method and device and vehicle |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1610624A (en) * | 2001-08-27 | 2005-04-27 | 欧姆龙株式会社 | Monitor system, central monitor apparatus, on-vehicle monitor apparatus, monitor method, monitor program, computer-readable recording medium containing the same |
| CN104816704A (en) * | 2014-02-05 | 2015-08-05 | 哈曼国际工业有限公司 | Self-monitoring and alert system for intelligent vehicle |
| US20150343947A1 (en) * | 2014-05-30 | 2015-12-03 | State Farm Mutual Automobile Insurance Company | Systems and Methods for Determining a Vehicle is at an Elevated Risk for an Animal Collision |
| US20160129883A1 (en) * | 2011-04-22 | 2016-05-12 | Angel A. Penilla | Contact detect feature of a vehicle and notifications to enable live views of vehicle |
| US20160144817A1 (en) * | 2014-11-20 | 2016-05-26 | Christopher Luke Chambers | Vehicle impact sensor and notification system |
| US20190118751A1 (en) * | 2017-10-19 | 2019-04-25 | Ford Global Technologies, Llc | Classifying non-contact events around a vehicle based on a restraint control module accelerometer |
| CN111886631A (en) * | 2018-03-15 | 2020-11-03 | 阿默尔·萨利赫阿塔拉拉赫阿塔拉拉赫 | Catching hit-and-run system (CHAR-S) |
| CN112004066A (en) * | 2020-09-04 | 2020-11-27 | 华人运通(上海)云计算科技有限公司 | Vehicle safety monitoring system and method |
| CN112132995A (en) * | 2020-10-20 | 2020-12-25 | 北京嘀嘀无限科技发展有限公司 | Data processing method, device and system, vehicle-mounted equipment and server |
| CN112581652A (en) * | 2020-11-25 | 2021-03-30 | 宝能(广州)汽车研究院有限公司 | Monitoring control method, monitoring control system and vehicle |
-
2022
- 2022-06-20 CN CN202210698298.2A patent/CN115131930B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1610624A (en) * | 2001-08-27 | 2005-04-27 | 欧姆龙株式会社 | Monitor system, central monitor apparatus, on-vehicle monitor apparatus, monitor method, monitor program, computer-readable recording medium containing the same |
| US20160129883A1 (en) * | 2011-04-22 | 2016-05-12 | Angel A. Penilla | Contact detect feature of a vehicle and notifications to enable live views of vehicle |
| CN104816704A (en) * | 2014-02-05 | 2015-08-05 | 哈曼国际工业有限公司 | Self-monitoring and alert system for intelligent vehicle |
| US20150343947A1 (en) * | 2014-05-30 | 2015-12-03 | State Farm Mutual Automobile Insurance Company | Systems and Methods for Determining a Vehicle is at an Elevated Risk for an Animal Collision |
| US20160144817A1 (en) * | 2014-11-20 | 2016-05-26 | Christopher Luke Chambers | Vehicle impact sensor and notification system |
| US20190118751A1 (en) * | 2017-10-19 | 2019-04-25 | Ford Global Technologies, Llc | Classifying non-contact events around a vehicle based on a restraint control module accelerometer |
| CN111886631A (en) * | 2018-03-15 | 2020-11-03 | 阿默尔·萨利赫阿塔拉拉赫阿塔拉拉赫 | Catching hit-and-run system (CHAR-S) |
| CN112004066A (en) * | 2020-09-04 | 2020-11-27 | 华人运通(上海)云计算科技有限公司 | Vehicle safety monitoring system and method |
| CN112132995A (en) * | 2020-10-20 | 2020-12-25 | 北京嘀嘀无限科技发展有限公司 | Data processing method, device and system, vehicle-mounted equipment and server |
| CN112581652A (en) * | 2020-11-25 | 2021-03-30 | 宝能(广州)汽车研究院有限公司 | Monitoring control method, monitoring control system and vehicle |
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