CN115131930B - Automobile alarm control method and device and vehicle - Google Patents

Automobile alarm control method and device and vehicle Download PDF

Info

Publication number
CN115131930B
CN115131930B CN202210698298.2A CN202210698298A CN115131930B CN 115131930 B CN115131930 B CN 115131930B CN 202210698298 A CN202210698298 A CN 202210698298A CN 115131930 B CN115131930 B CN 115131930B
Authority
CN
China
Prior art keywords
vehicle
gravity
impact
type
acquiring
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202210698298.2A
Other languages
Chinese (zh)
Other versions
CN115131930A (en
Inventor
王旭
翟志欣
李永君
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Great Wall Motor Co Ltd
Original Assignee
Great Wall Motor Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Great Wall Motor Co Ltd filed Critical Great Wall Motor Co Ltd
Priority to CN202210698298.2A priority Critical patent/CN115131930B/en
Publication of CN115131930A publication Critical patent/CN115131930A/en
Application granted granted Critical
Publication of CN115131930B publication Critical patent/CN115131930B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/02Mechanical actuation
    • G08B13/06Mechanical actuation by tampering with fastening
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation 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
    • G08B13/194Actuation 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
    • G08B13/196Actuation 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
    • G08B13/19602Image analysis to detect motion of the intruder, e.g. by frame subtraction

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application discloses a control method of automobile alarm, comprising the following steps: acquiring gravity values acquired by a plurality of gravity sensors; acquiring collision information of the vehicle based on the gravity values acquired by the gravity sensors; 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 environment image is input into the image recognition model to recognize the impact type corresponding to the impact information, and the scheme is based on the dual judgment flow of the impact information and the environment image of the vehicle, so that the judgment accuracy of a vehicle control system is improved, the alarm sound of the vehicle under the condition of misjudgment can be effectively avoided, and the trouble to surrounding residents and pedestrians is reduced.

Description

Automobile alarm control method and device and vehicle
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, the automobile is increasingly popular, and meanwhile, corresponding problems are increasingly prominent, such as insufficient parking spaces, so that the automobile is often not provided with a special parking place, and therefore, accidents such as scratch of the automobile are caused.
In the related art, the existing vehicle body anti-theft system of the vehicle detects vibration of the vehicle body based on the gravity sensor, however, misjudgment can be caused only by the gravity sensor, and the anti-theft accuracy of the vehicle body anti-theft system is low.
Disclosure of Invention
Aiming at the problems, the application provides a control method and device for automobile alarm and a vehicle, and the specific technical scheme is as follows:
in a first aspect of the present application, a control method for an automobile alarm is provided, where the method includes:
acquiring collision information of a vehicle;
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;
and inputting the environment image into an image recognition model to recognize the impact type corresponding to the impact information.
Optionally, acquiring the collision information of the vehicle includes:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring the impact information based on the gravity values acquired by the gravity sensors.
Optionally, obtaining the impact information based on the gravity values acquired by the plurality of gravity sensors includes:
determining a target gravity sensor with changed gravity value from the gravity sensors based on the gravity values acquired by the gravity sensors;
acquiring a vehicle region with 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.
Optionally, when the impact information of the vehicle characterizes that the vehicle is impacted by external force, acquiring an environment image of an external environment of the vehicle includes:
when the size of the vehicle area does not exceed the size of the preset area, the impact information is characterized in 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 steps of:
and when the size of the vehicle area exceeds the size of the preset area, the impact information is characterized in that the vehicle is impacted by non-external force, and the vehicle is controlled to be in a dormant state.
Optionally, the impact type includes: a first type and a second type, the first type being a type of impact caused by bad weather, the second type being a type of impact caused by an external motor or a pedestrian;
the method further comprises the steps of:
controlling the vehicle to enter a sleep state in the event that the impact type is the first type;
and controlling the vehicle to send prompt information to a legal user terminal 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 identification of an external maneuvering device in the environment image;
and generating the prompt information 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 automobile alarm is provided, the device comprising:
a first acquisition module: the method comprises the steps of acquiring collision information of a vehicle;
and a second acquisition module: the method comprises the steps that when the impact information of the vehicle represents that the vehicle is impacted by external force, an environment image of the external environment of the vehicle is obtained;
and an identification module: and the environment image is input into an image recognition model, and the impact type corresponding to the impact information is recognized.
Optionally, the first obtaining module is specifically configured to:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring collision 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 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 to realize the control method of the automobile alarm.
The application has the following beneficial effects:
the embodiment of the application provides a control method for automobile alarm, which is based on the impact information acquired by a vehicle, acquires an environment image outside the vehicle, inputs the environment image into an image recognition model to verify the impact type again by combining the external environment image.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic flow chart of a control method for automobile alarm in a first embodiment of the present application;
FIG. 2 is a schematic flow chart of a control method for automobile alarm in a second embodiment of the present application;
fig. 3 is a schematic structural diagram of an automobile alarm control device according to a third embodiment of the present application.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings. It will be apparent that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In the prior art, a car body anti-theft system is generally adopted to send out an alarm to remind a hit-and-run person of an accident, the car body anti-theft system is based on the fact that after the car body vibration or the gravity value detected by a gravity sensor changes, the alarm is sent out to remind the hit-and-run person, and under some special conditions, the gravity sensor of the car can also detect the condition that the car body vibration or the gravity value changes, for example, under severe weather conditions such as heavy rain or hail and plant fruits falling on a tree above the car can possibly vibrate the car, and under the conditions, the vibration sensor can produce misjudgment, the car anti-theft system can send out alarm sounds to form noise so as to influence residents and pedestrians around the car.
Under the above circumstances, the present solution provides a solution, and the specific concept is: based on the impact information acquired by the vehicle, acquiring an environment image outside 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 pertinently control the state of the vehicle according to the impact type.
Referring to fig. 1, fig. 1 shows a flow chart of a control method for an automobile alarm according to an embodiment of the present application, which specifically includes the following steps:
in a first aspect of the present application, a control method for an automobile alarm is provided, where the method includes:
s101, acquiring 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 external force. Wherein the gravity sensor utilizes the voltage generated by the deformation of the crystal caused by the acceleration therein, and can convert the acceleration into voltage output by calculating the relation between the generated voltage and the applied acceleration. Therefore, the change in the gravity value received by the gravity sensor can be explained as long as the crystal inside the gravity sensor is deformed. In general, when a gravity signal is received, it is necessary to determine the magnitude of a gravity value corresponding to the gravity signal and determine impact information generated from gravity information corresponding to the gravity value exceeding a preset threshold as an impact of the vehicle by an external force.
S102, acquiring an environment image of the external environment of the vehicle when the impact information of the vehicle indicates that the vehicle is impacted by external force.
In a specific implementation process, when the vehicle is impacted by external force, namely when the gravity value transmitted by the gravity sensor exceeds a preset threshold value, an environment image of the external environment of the vehicle needs to be acquired, and the environment image is acquired based on a vehicle-mounted camera or a vehicle 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 process, the impact type includes the impact type caused by bad weather and the impact type caused by external maneuvering devices or pedestrians, so that the training samples of the image recognition model include a first sample and a second sample, wherein the first sample is an image of bad weather such as rain, snow and the like, the second sample is an image of different speeds of the external maneuvering devices when the external maneuvering devices travel within a target range of the vehicle, or images of various maneuvering devices, and human body posture images of pedestrians outside the vehicle when the vehicle is damaged or tends to damage the vehicle.
The embodiment of the application provides a control method for automobile alarm, which is based on the impact information acquired by a vehicle, acquires an environment image outside the vehicle, inputs the environment image into an image recognition model to verify the impact type again by combining the external environment image.
In addition, the scheme uses the vehicle collision information acquired by the gravity sensor of the vehicle and the environment image outside the vehicle based on the vehicle-mounted camera or the automobile data recorder, and has no change of hardware facilities and circuit structures, the accuracy of judging the vehicle control system is increased only by changing the vehicle control logic, and under the condition of the same cost, the accuracy of judging whether the vehicle is impacted by external force is higher.
In some embodiments, obtaining crash information of a vehicle includes:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring collision information of the vehicle based on the gravity values acquired by the gravity sensors.
In a specific implementation process, because the narrow road and pedestrians pass and slightly vibrate the vehicle, and the outside weather of the vehicle is small rain and wind, the vehicle body of the vehicle vibrates, if the gravity sensor detects that the gravity value changes, the gravity sensor triggers the vehicle to alarm, which causes trouble to surrounding residents and pedestrians, and can cause misunderstanding of the vehicle owner to the pedestrians.
When a pedestrian lightly collides, whether the gravity value of the gravity sensor exceeds a preset threshold value is further required to be judged, and when the vehicle is vibrated in weather, the vibration range of the vehicle is required to be judged, and the specific implementation mode is as follows:
in a first embodiment, acquiring gravity values acquired by a plurality of gravity sensors at a certain moment, and determining a target gravity sensor with changed gravity values from the plurality of gravity sensors based on the gravity values acquired by the plurality of gravity sensors; acquiring a vehicle region with 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.
Specifically, when the vehicle area does not exceed the size of the preset area, the impact information is characterized in that the vehicle is impacted by external force, and the 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 is characterized in that the vehicle is impacted by non-external force.
In a second embodiment, the gravity values acquired by the gravity sensors at a certain moment are acquired, and the impact information is acquired based on the target gravity sensor with the gravity value greater than or equal to a preset threshold.
In the above embodiment, after the vehicle acquires the gravity values acquired by the plurality of gravity sensors, the area where the gravity value changes is determined based on the gravity values acquired by the plurality of gravity sensors, and/or the impact strength is determined based on the gravity sensors with the gravity value greater than or equal to the preset threshold, so that the impact information of the vehicle can be obtained, various non-accident situations are considered, and the accuracy of the judgment of the vehicle control system is further increased.
In some embodiments, obtaining the impact information based on the gravity values acquired by the plurality of gravity sensors includes:
determining a target gravity sensor with changed gravity value from the gravity sensors based on the gravity values acquired by the gravity sensors;
acquiring a vehicle region with 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 a specific implementation, the target gravity sensor refers to a gravity sensor that receives a gravity value exceeding a preset threshold, where 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.
In the above embodiment, after detecting that the gravity values of the plurality of gravity sensors of the vehicle are changed, the gravity sensors corresponding to the gravity values exceeding the preset threshold are all used as the target gravity sensors, so that the vehicle area where the gravity of the vehicle is changed is obtained according to the distribution positions of the target gravity sensors, and the impact information is obtained, and therefore 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, when the impact information of the vehicle characterizes that the vehicle is impacted by external force, acquiring an environment image of an environment outside the vehicle comprises:
when the size of the vehicle area does not exceed the size of the preset area, the impact information is characterized in that the vehicle is impacted by external force, and the 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 does not exceed the size of the preset area, various conditions exist, including malicious damage, vehicle scraping accidents, pedestrian false collision, falling of objects on a tree and the like, so that specific conditions are further judged based on an external environment image of the vehicle, and the judgment accuracy of a vehicle control system is improved.
The method further comprises the steps of: and when the size of the vehicle area exceeds the size of the preset area, the impact information is characterized in 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, under the condition that the size of the vehicle area exceeds the size of the preset area, it can be determined that the vehicle is in a dormant state due to vehicle body vibration caused by weather, generally caused by severe weather such as heavy rain or hail, and the preset area can be the range including the door, the roof, the cover and the tire of the vehicle, so that 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 environmental images, and the energy consumption control of the vehicle is reduced.
In addition, if the vehicle is impacted, no matter the size of the vehicle area, prompt information can be sent to the user, and the user can check the specific situation in time when the vehicle is in place so as to remedy the situation pertinently, and the property loss of the vehicle is reduced as much as possible.
In some embodiments, the impact type includes: a first type and a second type, the first type being a type of impact caused by bad weather, the second type being a type of impact caused by an external motor or a pedestrian;
the method further comprises the steps of:
controlling the vehicle to enter a sleep state in the event that the impact type is the first type;
and controlling the vehicle to send prompt information to a legal user terminal under the condition that the impact type is the second type.
In a specific implementation process, the legal user end comprises the mobile equipment of the vehicle owner or the corresponding user end recorded in the driving terminal, and in general, prompt information can be sent to the vehicle owner, and if the vehicle owner does not look over for a long time, the information is sent to other legal user ends.
When the vehicle judges that the collision 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 collision 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 prompt an owner to check the state of the vehicle in time, thereby reducing the property loss of the owner.
In some embodiments, the hint information is generated based on the steps of:
identifying the environment image to obtain an identification of an external maneuvering device in the environment image;
and generating the prompt information based on the identification and the environment image.
In a specific implementation process, if the impact type is the second type, if the impact is caused by the external maneuvering device, identifying information in the environment image, obtaining an identifier of the external maneuvering device in the environment image, and generating prompt information by the environment image and the identified identifier for prompting a vehicle owner.
In addition, if the pedestrian collides, the environment image including the face of the pedestrian is only required to generate prompt information and is sent to a legal user side.
In some embodiments, the method further comprises:
editing the environmental image into 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 maneuvering device or a pedestrian, evidence is needed when the owner of the external maneuvering device or the pedestrian claims, so that the environment image is edited into a video file and stored in a memory of the vehicle, the video file is sent to a legal user side, and if the vehicle is seriously damaged and the content of the memory can not be read, the video file at the legal user side is taken as evidence, so that the owner can claim the accident conveniently.
Referring to fig. 2, fig. 2 shows a 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 a plurality of gravity sensors, and taking the gravity sensor corresponding to the gravity value exceeding a preset threshold as a target gravity sensor;
s2, acquiring a vehicle area in which the gravity of the vehicle changes 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 a value image recognition model to acquire the impact type of the vehicle;
s6, judging whether the impact type is caused by an external motor device or a pedestrian, if not, controlling the vehicle to enter a dormant state, and if so, executing the step S7;
and S7, controlling the vehicle to send prompt information to a legal user terminal under the condition that the impact type is the impact type caused by an external motor device or a pedestrian.
The scheme is based on the dual judging flow of the collision information and the environment image of the vehicle, increases the judging accuracy of the vehicle control system, and can effectively avoid the alarm sound of the vehicle under the misjudging condition, thereby reducing the trouble to surrounding residents and pedestrians.
In addition, 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 method comprises the steps of acquiring collision information of a vehicle;
a second acquisition module 1002: the method comprises the steps that when the impact information of the vehicle represents that the vehicle is impacted by external force, an environment image of the external environment of the vehicle is obtained;
the identification module 1003: and the environment image is input into an image recognition model, and the impact type corresponding to the impact information is recognized.
It should be noted that, each module in the control device for automobile alarm in this embodiment corresponds to each step in the control method for automobile alarm in the foregoing embodiment, so specific implementation of this embodiment may refer to implementation of the foregoing control method for automobile alarm, and will not be described herein again.
In some embodiments, the first obtaining module 1001 includes:
a first acquisition sub-module: the gravity sensor is used for acquiring gravity values acquired by the gravity sensors;
and a second acquisition sub-module: and the impact information is obtained based on the gravity values acquired by the gravity sensors.
In some embodiments, the second obtaining sub-module is specifically configured to:
determining a target gravity sensor with changed gravity value from the gravity sensors based on the gravity values acquired by the gravity sensors;
acquiring a vehicle region with 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 is characterized in 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 apparatus further comprises:
a first control module: and the impact information is used for controlling the vehicle to be in a dormant state when the size of the vehicle area exceeds the preset area size and the vehicle is impacted by non-external force.
In some embodiments, the impact type includes: a first type and a second type, the first type being a type of impact caused by bad weather, the second type being a type of impact caused by an external motor or a pedestrian; the apparatus further comprises:
and a second control module: for controlling the vehicle to enter a sleep state in the event that the impact type is the first type;
and a third control module: and the vehicle is used for controlling the vehicle to send prompt information to a legal user side under the condition that the impact type is the second type.
In some embodiments, the apparatus further comprises:
the identification obtaining module: the method comprises the steps of identifying the environment image to obtain an identification of an external maneuvering device in the environment image;
the generation module is used for: and the prompt information is generated based on the identification and the environment image.
In some embodiments, the apparatus further comprises:
editing module: the video file corresponding to the environment image is acquired under the condition that the impact type is the second type;
and a sending module: and the video file is used for storing the video file into a memory of the vehicle and sending the video file to a legal user side.
In addition, to achieve the above object, a fourth embodiment of the present application further provides a vehicle including: the 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 to realize the control method of the automobile alarm.
It can be understood that the vehicle shown in the application can be various types of automobiles such as a small-sized passenger car, a medium-sized passenger car, a large-sized passenger car and a heavy truck, and the control method for the automobile alarm can be applied to all the various types of automobiles so as to optimize the use experience of a driver.
While preferred embodiments of the present embodiments have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the present application.
Finally, it is further noted that relational terms such as first and second, and the like are 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. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has described in detail the method, apparatus and vehicle for controlling an automobile alarm, and specific examples have been used herein to illustrate the principles and embodiments of the present application, where the above examples are provided to assist in understanding the method and core ideas of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (9)

1. A control method for an automobile alarm, the method comprising:
acquiring collision information of a vehicle;
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;
inputting the environment image into an image recognition model, and recognizing an impact type corresponding to the impact information;
the method for acquiring the 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 comprises the following steps:
when the size of the vehicle area with the changed gravity value does not exceed the size of the preset area, the impact information is characterized in that the vehicle is impacted by external force, and the image acquisition is carried out on the external environment of the vehicle to obtain an environment image;
and when the size of the vehicle area exceeds the size of the preset area, the impact information is characterized in that the vehicle is impacted by non-external force, and the vehicle is controlled to be in a dormant state.
2. The control method of an automobile alarm according to claim 1, wherein acquiring collision information of a vehicle includes:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring the impact information based on the gravity values acquired by the gravity sensors.
3. The control method of an automobile alarm according to claim 2, wherein obtaining the impact information based on the gravity values collected by the plurality of gravity sensors includes:
determining a target gravity sensor with changed gravity value from the gravity sensors based on the gravity values acquired by the gravity sensors;
acquiring a vehicle region with 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.
4. The control method of an automobile alarm according to claim 1, wherein the collision type includes: a first type and a second type, the first type being a type of impact caused by bad weather, the second type being a type of impact caused by an external motor or a pedestrian;
the method further comprises the steps of:
controlling the vehicle to enter a sleep state in the event that the impact type is the first type;
and controlling the vehicle to send prompt information to a legal user terminal under the condition that the impact type is the second type.
5. The control method of an automobile alarm according to claim 4, wherein the prompt message is generated based on the steps of:
identifying the environment image to obtain an identification of an external maneuvering device in the environment image;
and generating the prompt information based on the identification and the environment image.
6. The control method of an automotive alarm of claim 4, 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.
7. A control device for an automotive alarm, said device comprising:
a first acquisition module: the method comprises the steps of acquiring collision information of a vehicle;
and a second acquisition module: when the size of the vehicle area with the changed gravity value does not exceed the size of the preset area, the impact information of the vehicle indicates that the vehicle is impacted by external force, and an environment image of the external environment of the vehicle is obtained;
a first control module: the collision information is characterized in that the vehicle is impacted by non-external force when the size of the vehicle area exceeds the size of a preset area, and the vehicle is controlled to be in a dormant state;
and an identification module: and the environment image is input into an image recognition model, and the impact type corresponding to the impact information is recognized.
8. The control device for an automotive alarm according to claim 7, wherein the first acquisition module is specifically configured to:
acquiring gravity values acquired by a plurality of gravity sensors;
and acquiring collision information of the vehicle based on the gravity values acquired by the gravity sensors.
9. A vehicle, characterized in that the vehicle comprises: a processor and a memory storing machine executable instructions executable by the processor for executing the machine executable instructions to implement the control method of an automotive alarm as claimed in any one of claims 1 to 6.
CN202210698298.2A 2022-06-20 2022-06-20 Automobile alarm control method and device and vehicle Active CN115131930B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210698298.2A CN115131930B (en) 2022-06-20 2022-06-20 Automobile alarm control method and device and vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210698298.2A CN115131930B (en) 2022-06-20 2022-06-20 Automobile alarm control method and device and vehicle

Publications (2)

Publication Number Publication Date
CN115131930A CN115131930A (en) 2022-09-30
CN115131930B true CN115131930B (en) 2024-03-08

Family

ID=83379428

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210698298.2A Active CN115131930B (en) 2022-06-20 2022-06-20 Automobile alarm control method and device and vehicle

Country Status (1)

Country Link
CN (1) CN115131930B (en)

Citations (6)

* Cited by examiner, † Cited by third party
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
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

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US10166916B2 (en) * 2014-05-30 2019-01-01 State Farm Mutual Automobile Insurance Company Systems and methods for determining a vehicle is at an elevated risk for an animal collision
US9586549B2 (en) * 2014-11-20 2017-03-07 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

Patent Citations (6)

* Cited by examiner, † Cited by third party
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
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

Also Published As

Publication number Publication date
CN115131930A (en) 2022-09-30

Similar Documents

Publication Publication Date Title
US11043044B2 (en) Systems and methods for vehicle condition inspection for shared vehicles
CN111137284B (en) Early warning method and early warning device based on driving distraction state
CN203854604U (en) Intelligent blind spot monitoring device for automobile
CN105844211A (en) System and method for classifying a road surface
DE102006012336A1 (en) Touch detecting device for vehicle, comprises paint with integrated piezo-electric function
CN102819880B (en) A kind of method of comprehensive reduction road accident image
US10710537B2 (en) Method and system for detecting an incident , accident and/or scam of a vehicle
EP4100284A1 (en) Artificial intelligence-enabled alarm for detecting passengers locked in vehicle
CN111775944A (en) Driving assistance apparatus, method, and computer-readable storage medium
CN115131930B (en) Automobile alarm control method and device and vehicle
CN112863244A (en) Method and device for promoting safe driving of vehicle
CN112272630B (en) Detecting a collision event
CN114530057B (en) Vehicle early warning method and device, vehicle and storage medium
JPH1029567A (en) Vehicular accident-state recorder
CN114750754A (en) Intelligent driving automobile accident detection system
KR20150047900A (en) Active control system based image for accident prevention and reduction
CN113978359A (en) Danger protection method, device and system
CN206287977U (en) A kind of automobile burglar system for prompting based on Intelligent key
CN215322260U (en) Automatic detection system for external environment of automobile and automobile
CN107021020A (en) A kind of intelligent vehicle-carried rear-view mirror system
CN201419684Y (en) Intelligent automobile license plate
WO2023077301A1 (en) Vehicle body vibration real-time detection system, and vehicle
CN202357984U (en) Automobile safety door opening system based on infrared detection
EP4386337A1 (en) Computer-implemented method for detecting a stone impact on a window of a vehicle, data processing apparatus, system for detecting a stone impact on a window of a vehicle, vehicle, computer program and computer-readable storage medium
CN116080525A (en) Off-vehicle early warning method and system, vehicle and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20230727

Address after: No. 2266 Chaoyang South Street, Lianchi District, Baoding City, Hebei Province

Applicant after: GREAT WALL MOTOR Co.,Ltd.

Address before: 100176 room 1902, 16th floor, building 3, District 4, yard 22, Jinghai 4th Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing

Applicant before: Salon mecha Technology Co.,Ltd.

GR01 Patent grant
GR01 Patent grant