Vehicle bottom blind area living body warning and parking safety alarm method, device and equipment and storage medium

Abstract

The invention discloses a vehicle bottom blind area living body warning and parking safety alarm method, device and equipment and a storage medium, and relates to the technical field of vehicle safety, and the method comprises the steps: obtaining living body sensing information and warning time; detecting a vehicle bottom blind area living body dangerous behavior based on the living body sensing information and the warning time, and determining a cloud interaction alarm frequency and a crisis state; and controlling a vehicle to trigger vehicle bottom blind area living body warning and parking safety warning based on the cloud interaction alarm frequency and the crisis state. The vehicle alarm is controlled by acquiring the living body sensing information and the warning time in real time, detecting the dangerous behavior of the living body in the dead zone of the vehicle bottom, intelligently determining the cloud interaction alarm frequency and judging the crisis state, so that the safety performance during vehicle parking is effectively improved, the living body at the vehicle bottom is protected from being hurt, vehicle damage events are reduced, and the safety of the vehicle is improved. And meanwhile, the remote monitoring capability of the vehicle owner on the vehicle safety is enhanced, efficient linkage with a parking lot and a public security system is carried out, and the vehicle parking safety is remarkably improved.

Description

Technical Field

[0001] The present application relates to the field of automobile safety technology, and in particular to methods, devices, equipment and storage media for live warning and parking safety alarm in blind spots under vehicles. Background Art

[0002] With the increase in the number of cars, vehicle safety issues have received increasing attention. In daily life, due to the driver's blind spot, low-profile living things, such as children or small animals, may hide under the car and be difficult to detect, causing the living things under the car to be squeezed and bumped when the vehicle is moving. The vehicle may also suffer unintentional or malicious damage when parked, such as collision, scratch or theft. Therefore, improving the safety performance of vehicles when parked and moving, and protecting low-profile living things from harm have become issues of common concern.

[0003] At present, the existing practice is to equip the system with panoramic imaging and transparent chassis functions, which can provide image information of the bottom of the vehicle after the vehicle is started, helping the driver to find living things under the vehicle. However, the vehicle needs to be started to work, and when the vehicle is not moving, the transparent chassis only displays the previous historical image, and cannot reflect the current situation under the vehicle. Even if a dashcam is installed, due to the installation position and functional limitations, there are still monitoring blind spots, and the type of living things cannot be identified, resulting in the inability to effectively trigger an alarm when a low living thing drills under the vehicle. Moreover, when the owner does not check the mobile phone monitoring in time, the system cannot autonomously send a timely alarm to the parking lot where the vehicle is located and the nearby public security system, and cannot notify the owner in time to collect evidence in real time. Therefore, how to accurately and effectively identify dangerous behaviors of living things to warn living things in the blind spots under the vehicle and parking safety alarms has become an urgent problem to be solved.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a method, device, equipment and storage medium for live warning and parking safety alarm in the blind spot under the vehicle, aiming to solve the technical problem of how to accurately and effectively identify dangerous behaviors of living things to provide live warning and parking safety alarm in the blind spot under the vehicle.

[0006] To achieve the above objectives, the present application proposes a method for a blind spot warning and parking safety alarm under a vehicle, the method comprising:

[0007] Obtain living body perception information and warning time;

[0008] Detect dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determine the number of cloud interaction alarms and the crisis status;

[0009] Based on the number of cloud interaction alarms and the crisis status, the vehicle is controlled to trigger a live warning and a parking safety alarm in the blind spot under the vehicle.

[0010] In one embodiment, the step of obtaining living body sensing information and warning time includes:

[0011] Obtain the vehicle parking status, sensor unit switch status and living behavior time;

[0012] Detecting an object approaching state based on the parking state of the vehicle and the switch state of the sensing unit, and determining a radar signal and an image signal;

[0013] Analyze the radar signal and the image signal to determine living body perception information, where the living body perception information includes living body type and living body behavior;

[0014] When the living body sensing information indicates that there is a living body that has not entered the set dangerous distance or the blind spot under the chassis, the living body behavior time is continuously monitored to obtain a warning time.

[0015] In one embodiment, the step of detecting dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determining the number of cloud interaction alarms and the crisis status includes:

[0016] Get the target warning time;

[0017] Based on the living body sensing information, the living body behavior time is continuously monitored to detect the intention of the living body to enter the vehicle crisis area, and the living body is in a state of being away;

[0018] Based on the living body away state, the warning time and the target warning time, the living body warning away state and the number of cloud interaction warnings are obtained;

[0019] A crisis state is obtained based on the living body away state and the living body warning away state.

[0020] In one embodiment, the step of continuously monitoring the living body behavior time based on the living body sensing information to detect the living body's intention to enter the vehicle crisis area and obtain the living body's away state further includes:

[0021] When the living body away state is that the living body is away from the vehicle, controlling the vehicle to enter a dormant state;

[0022] When the living body is in the state of being away from the living body and has entered the set dangerous distance or the blind spot under the chassis, the vehicle is controlled to automatically turn on the double flash lights and the anti-theft alarm to issue an audible and visual alarm and voice drive, and determine the evidence image.

[0023] In one embodiment, after the step of obtaining the living body warning distance state and the number of cloud interaction warnings based on the living body distance state, the warning time and the target warning time, the step further includes:

[0024] If the living body does not move away after the living body warning distance state is a warning, a real-time danger event briefing is automatically generated based on the living body sensing information, living body warning information in the blind spot under the vehicle is obtained based on the danger event briefing and the forensic image, and the number of cloud interactive alarms is increased;

[0025] When the living body warning away state is that the living body has left after the warning and the warning time is not higher than the target warning time, the vehicle is controlled to stop the sound and light alarm and voice expulsion, the warning time and the number of cloud interaction alarms are reset to zero, and the vehicle is controlled to enter a dormant state.

[0026] In one embodiment, the step of controlling the vehicle to trigger a live body warning and a parking safety warning in a blind spot under the vehicle based on the number of cloud interaction alarms and the crisis state includes:

[0027] Get the target cloud interaction alarm times and alarm intervals;

[0028] Control the vehicle to turn off the system sound and light alarm and enter a dormant state based on the number of cloud interaction alarms, the number of target cloud interaction alarms and the alarm interval;

[0029] Based on the crisis state and the alarm interval, the vehicle intelligent management mechanism is triggered to determine the living body warning information in the blind spot under the vehicle;

[0030] Based on the live warning information of the blind spot under the vehicle, the vehicle is controlled to perform parking safety alarm feedback on dangerous behaviors.

[0031] In one embodiment, the step of controlling the vehicle to perform parking safety alarm feedback dangerous behavior based on the living body warning information in the blind spot under the vehicle includes:

[0032] Obtain vehicle location information;

[0033] Based on the vehicle positioning information and the live warning information of the blind spot under the vehicle, the vehicle is controlled to perform a parking safety alarm to feedback dangerous behaviors, and the parking safety alarm includes a mobile network notification alarm and a telephone notification alarm.

[0034] In addition, to achieve the above-mentioned purpose, the present application also proposes a vehicle bottom blind spot live warning and parking safety alarm device, the vehicle bottom blind spot live warning and parking safety alarm device comprising:

[0035] An acquisition module is used to obtain living body sensing information and warning time;

[0036] A processing module, configured to detect dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determine the number of cloud interaction alarms and the crisis status;

[0037] The execution module is used to control the vehicle to trigger a live warning and a parking safety alarm in the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis state.

[0038] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for live warning and parking safety alarm in the blind spot under the vehicle, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the method for live warning and parking safety alarm in the blind spot under the vehicle as described above.

[0039] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the live warning and parking safety alarm method for the blind spot under the vehicle as described above are implemented.

[0040] One or more technical solutions proposed in this application have at least the following technical effects:

[0041] This embodiment proposes a method for live warning and parking safety alarm in the blind spot under the vehicle, which obtains live sensing information and warning time; detects dangerous live behaviors in the blind spot under the vehicle based on the live sensing information and the warning time, and determines the number of cloud interactive alarms and the crisis state; and controls the vehicle to trigger live warning and parking safety alarm in the blind spot under the vehicle based on the number of cloud interactive alarms and the crisis state. This application obtains live sensing information and warning time in real time, detects dangerous live behaviors in the blind spot under the vehicle, intelligently determines the number of cloud interactive alarms and judges the crisis state, thereby controlling the vehicle to execute sound and light alarms and remote cloud interactive alarms, effectively improving the safety performance of the vehicle when parked, protecting the live bodies under the vehicle from harm, and reducing vehicle damage incidents. At the same time, it enhances the owner's ability to remotely monitor the safety of the vehicle, and efficiently links with the parking lot and public security system, significantly improving the safety of vehicle parking. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 A flow chart of the first embodiment of the method for live warning and parking safety alarm in the blind spot under the vehicle of the present application;

[0045] Figure 2 This is the architecture diagram of the vehicle bottom blind spot live warning and vehicle safety alarm system for this application;

[0046] Figure 3 A flow chart of the second embodiment of the method for blind spot live warning and parking safety alarm under the vehicle of the present application;

[0047] Figure 4 A schematic diagram of a simplified process of a method for a blind spot warning and parking safety alarm under a vehicle provided in an embodiment of the present application;

[0048] Figure 5 This is a schematic diagram of the module structure of the blind spot living body warning and parking safety alarm device under the vehicle according to an embodiment of the present application;

[0049] Figure 6 This is a schematic diagram of the device structure of the hardware operating environment involved in the method for live warning and parking safety alarm in the blind spot under the vehicle in the embodiment of the present application.

[0050] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0052] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0053] The main solution of the embodiment of the present application is: to obtain liveness perception information and warning time; to detect dangerous liveness behaviors in the blind spot under the vehicle based on the liveness perception information and the warning time, and to determine the number of cloud interaction alarms and the crisis status; and to control the vehicle to trigger the liveness warning and parking safety alarm in the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis status.

[0054] In this embodiment, for the convenience of description, the following description is made by taking the identification of living body warning and parking safety alarm equipment in the blind spot under the vehicle as the execution subject.

[0055] Since the existing technology requires the vehicle to be started to work, and when the vehicle is not moving, the transparent chassis only displays the previous frame of historical image and cannot reflect the current situation under the vehicle. Even if a driving recorder is installed, there are still monitoring blind spots due to installation position and functional limitations, and the type of living things cannot be identified. As a result, when a low living thing drills under the vehicle, the alarm cannot be effectively triggered. Moreover, when the owner does not check the mobile phone monitoring in time, the system cannot autonomously send a timely alarm to the parking lot where the vehicle is located and the nearby public security system, and cannot notify the owner in time to collect evidence in real time.

[0056] The present application provides a solution to obtain liveness perception information and warning time; detect dangerous liveness behaviors in the blind spot under the vehicle based on the liveness perception information and the warning time, and determine the number of cloud interaction alarms and the crisis status; and control the vehicle to trigger the liveness warning and parking safety alarm in the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis status.

[0057] It can be seen from the above embodiments that the present application obtains living body perception information and warning time in real time, detects dangerous living body behaviors in blind spots under the vehicle, intelligently determines the number of cloud interactive alarms and judges the crisis status, thereby controlling the vehicle to execute sound and light alarms and remote cloud interactive alarms, effectively improving the safety performance of the vehicle when parked, protecting the living bodies under the vehicle from harm, and reducing vehicle damage incidents. At the same time, it enhances the owner's remote monitoring ability of vehicle safety, and efficiently links with parking lots and public security systems, significantly improving vehicle parking safety.

[0058] Based on this, the embodiment of the present application provides a method for a blind spot under vehicle living body warning and parking safety alarm, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for live warning and parking safety alarm in the blind spot under the vehicle of the present application.

[0059] In this embodiment, the method for the blind spot living body warning and parking safety alarm under the vehicle includes steps S10 to S30:

[0060] Step S10, obtaining living body sensing information and warning time;

[0061] It should be noted that the living body sensing information reflects the type and behavior characteristics of the living body detected around the vehicle, and the warning time reflects the characteristics of the duration of the behavior of the living body around the vehicle.

[0062] It is understandable that if Figure 2 As shown, Figure 2This is a block diagram of the architecture of the blind spot live warning and vehicle safety alarm system under the vehicle for this application, wherein the blind spot live warning and parking safety alarm system under the vehicle is composed of a central processing unit, a monitoring and identification functional block, an on-site warning functional block and a cloud interactive alarm functional block, and the central processing unit, the monitoring and identification functional block, the on-site warning functional block and the cloud interactive alarm functional block need to be powered directly or indirectly by a battery so as to work at low power consumption and support network sleep and wake-up. When the vehicle is stationary, turn on the radar and camera-related function switches around the vehicle body, and enable the radar and visual perception unit switches to be turned on by default to ensure that the monitoring and identification functional block can collect signals in real time. When the radar perception unit detects a signal that an object is approaching, it will wake up the central processing unit and the monitoring and identification functional block. The central processing unit receives the radar and image signals transmitted by the monitoring and identification functional block, performs AI analysis of the moving object type, and then wakes up the on-site warning functional block and the cloud interactive alarm functional block through the CAN network to respectively perform sound and light alarm actions and remote warning behaviors.

[0063] For ease of understanding, the example of obtaining living body perception information and warning time is used for explanation, wherein the information collection device is an information collection module, and the storage device is a memory.

[0064] The information acquisition module can be a monitoring and identification functional block, which includes a radar sensing unit and a visual sensing unit. The radar sensing unit includes an ultrasonic radar and a millimeter-wave radar. The visual sensing unit includes a surround-view camera, a front-view camera, a rear-view camera and a side-view camera installed on the vehicle body. That is, when the vehicle is stationary, it can support low-power operation, record obstacle movement distance signals and images around the vehicle in real time, and output them to the central processing unit at the same time.

[0065] The information acquisition module obtains the parking state of the vehicle. When the parking state of the vehicle is that the vehicle is stationary, the switch state of the perception unit is obtained. For example, the switch state of the perception unit is that the radar and visual perception unit switches are turned on by default, ensuring that the monitoring and identification function block can collect signals in real time, that is, when the vehicle speed V=0km / h, turn on the radar and camera related function switches around the vehicle body. At this time, the radar is always in low-power operation, and the central processing unit and the visual perception unit are in a dormant state. When the radar perception unit detects that an object is approaching the vehicle, it will start the detection work, detect the object approaching state based on the parking state of the vehicle and the switch state of the perception unit, determine the radar signal and the image signal, analyze the radar signal and the image signal to determine the living body perception information, and the living body perception information includes the living body. Type and living body behavior, obtain the living body behavior time delay_time1, such as delay_time1 is 3min, when the living body perception information is that there is a living body that has not entered the set dangerous distance or the blind spot under the chassis, the living body behavior time is continuously monitored to obtain the warning time, that is, when the system determines that a living body has not entered the set dangerous distance or the blind spot under the chassis, after continuously monitoring the living body behavior time delay_time1=3min, if the living body is away from the vehicle, the central processing unit and the visual perception unit return to the sleep state, and the warning time is reset. If the system finds that a living body has entered the set dangerous distance or the blind spot under the chassis, the system controls the double flash lights and the anti-theft alarm to automatically turn on for sound and light alarm, and the timer T1 starts timing to obtain the warning time.

[0066] The living body sensing information and the warning time are stored in a memory, and subsequent processing is performed based on the living body sensing information and the warning time.

[0067] In a feasible implementation, step S10 may include steps A11 to A14:

[0068] Step A11, obtaining the parking status of the vehicle, the switch status of the sensing unit and the time of the living body behavior;

[0069] It should be noted that the vehicle parking state reflects the characteristics of the vehicle's stationary state, the sensing unit switch state reflects the characteristics of the function switch activation state, and the living body behavior time reflects the characteristics of the duration of the living body's activities around the vehicle.

[0070] It can be understood that the vehicle parking state can be determined by a vehicle speed sensor or other vehicle state monitoring equipment. When the vehicle speed is zero or lower than a certain threshold, the system considers that the vehicle is in a parking state. At this time, the radar and visual perception unit will be activated to start monitoring the environment around the vehicle. The switch state of the perception unit represents whether the system can receive signals from the perception unit to ensure that when the device is turned on, the system will monitor and analyze the surrounding environment. The living behavior time is determined by continuously monitoring the behavior of the living body, including the time when the living body approaches and stays around the vehicle, and the time when the living body may enter the dangerous area of ​​the vehicle. Through continuous monitoring of the living body's behavior, the system can evaluate the potential risks of the living body's behavior and trigger corresponding warnings and alarm responses accordingly.

[0071] Step A12, detecting the object approaching state based on the parking state of the vehicle and the switch state of the sensing unit, and determining a radar signal and an image signal;

[0072] It is understandable that by monitoring the parking status of the vehicle and the switch status of the sensing unit, the system can start in time when the vehicle is stationary, effectively monitor the blind spots under the vehicle, and promptly detect and warn of potential safety risks. The system only enables the sensing unit when the vehicle is parked, which can avoid unnecessary energy consumption, optimize resource utilization, and significantly improve the owner's user experience through intelligent monitoring and response mechanisms.

[0073] Step A13, analyzing the radar signal and the image signal to determine living body perception information, where the living body perception information includes living body type and living body behavior;

[0074] It can be understood that the living body sensing information includes the living body type and the living body behavior. The living body type can be the living body shape, and the living body behavior can include the living body speed and the living body movement direction, which is used to enable the user to identify and distinguish the state of the living body approaching the vehicle, such as children approaching the vehicle and small animals approaching the vehicle, and accurately identify and monitor the existence state and behavior state of the living body.

[0075] Step A14, when the living body sensing information indicates that there is a living body that has not entered the set dangerous distance or the blind spot under the chassis, the living body behavior time is continuously monitored to obtain a warning time.

[0076] It can be understood that the warning time is the length of time for continuously monitoring the behavior of the living body around the vehicle to determine whether the living body enters a set danger zone or leaves a monitoring area.

[0077] In addition, it should be noted that by real-time monitoring of the type and behavior of living organisms, the system can issue an early warning before the living organism enters the dangerous area of ​​the vehicle, effectively preventing harm to the living organism, while also protecting the vehicle from damage, and promptly issuing an alarm when a threat is posed to the living organism. Different alarm times can be set in high-risk areas or specific time periods to adapt to different environments and safety requirements and improve the response speed of the system.

[0078] Step S20, detecting dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determining the number of cloud interaction alarms and the crisis status;

[0079] It should be noted that the number of cloud interaction alarms reflects the characteristics of the number of times the system triggers a remote alarm based on dangerous behaviors of living things detected in the blind spot under the vehicle, and the crisis state reflects the characteristics of the state of detecting threats to living things.

[0080] It can be understood that the number of cloud interaction alarms can represent the number of times the system responds to dangerous behaviors. Recording the number of cloud interaction alarms can track the urgency of crisis events, thereby triggering cloud interaction alarms. If the number of alarms is frequent, it means that the crisis state is still continuing or intensifying, and further response measures are required.

[0081] For ease of understanding, the following is explained by taking determining the number of cloud interaction alarms and the crisis status as an example, wherein the information collection device is an information collection module, the storage device is a memory, and the processing device is a processing module.

[0082] The processing module may be a central processing unit, which may be used or developed based on the hardware or software of the vehicle body controller or the domain controller. The central processing unit is mainly responsible for processing and AI identifying the radar and image perception signals input by the monitoring and identification function block to obtain the type, distance and position coordinates of the active object. The active object type may include adults, children, animals and vehicles. The positioning information of the vehicle navigation system may also be retrieved to automatically generate a dangerous event briefing. The dangerous event briefing includes the time, license plate number, vehicle location, type of living body and behavior description. At the same time, the briefing information and images are forensically stored, and then the vehicle is controlled to execute on-site sound and light alarms and dangerous event briefings, and forensic images for cloud interactive remote alarms. The central processing unit is powered by a battery, which can support low-power operation in parking scenarios, and can support power supply and drive of the perception device. The perception device may be a radar, a camera or a related independent control ECU.

[0083] The information collection module obtains the target warning time, such as 3 minutes, obtains the living body perception information, such as the type, distance and position coordinates of the moving object, obtains the warning time T1, continuously monitors the living body behavior time based on the living body perception information to detect the intention of the living body to enter the vehicle crisis area, and obtains the living body away state. When the living body away state is that the living body is away from the vehicle, the vehicle is controlled to enter a dormant state. When the living body away state is that the living body has entered the set dangerous distance or the blind spot under the chassis, the vehicle is controlled to automatically turn on the double flash lights and the anti-theft alarm for sound and light alarm and voice expulsion, and determine the evidence image. Based on the living body away state, the warning time and the target warning time, the living body warning away state and the number of cloud interaction alarms are obtained. When the living body has not left after the living body warning distance state is a warning, a real-time danger event briefing is automatically generated based on the living body sensing information, living body warning information of the blind spot under the vehicle is obtained based on the danger event briefing and the forensic image, and the number of cloud interactive alarms is increased; when the living body has left after the living body warning distance state is a warning and the warning time is not higher than the target warning time, the vehicle is controlled to stop sound and light alarms and voice expulsion, the warning time and the number of cloud interactive alarms are cleared, the vehicle is controlled to enter a dormant state, a crisis state is obtained based on the living body distance state and the living body warning distance state, the cloud interactive alarm number and the crisis state are stored in a memory, and subsequent processing is performed based on the cloud interactive alarm number and the crisis state.

[0084] Step S30, based on the number of cloud interaction alarms and the crisis state, the vehicle is controlled to trigger a live body warning in the blind spot under the vehicle and a parking safety alarm.

[0085] It can be understood that by recording the number of cloud interaction alarms, the system can classify and prioritize different crisis states to achieve more effective risk management, and the system can trigger cloud interaction alarms in a timely manner based on real-time assessment of the crisis state, ensuring that emergencies can be handled quickly and reducing the risk of accidents.

[0086] For ease of understanding, the acquisition of the number of cloud interaction alarms and crisis status is taken as an example for explanation, wherein the information collection device is the information collection module, the storage device is the memory, and the execution device is the execution module.

[0087] The execution module may include an on-site warning function block and a cloud interactive alarm function block. When the system recognizes that a living being continues to move near the vehicle or has entered a set dangerous distance or under the chassis in the signal transmitted by the monitoring identification function block, the central processing unit will automatically control the turning on of the double flash lights and the anti-theft alarm to issue an on-site sound and light alarm reminder. At the same time, the voice expulsion function can be expanded by installing a small durable speaker at the bottom of the vehicle. Based on the above risk scenarios, the system's built-in alarm voice can be played loudly through the speaker to drive away living beings around and under the vehicle body. The cloud interactive alarm function block is based on the USIM card communication module, which can realize real-time remote interaction between people, vehicles, roads and clouds. If the vehicle transmits the information to the car owner's early warning unit, the system can transmit the dangerous event briefing and evidence images to the car owner's mobile phone WeChat, SMS and application APP through the mobile network; if the vehicle transmits the information to the parking lot alarm unit, the system can notify the parking lot management system of the dangerous event briefing and evidence images through the mobile network or automatically make a phone call, so that the management personnel can patrol and inspect the parking spaces in time; if the vehicle transmits the information to the public security system alarm unit, the system will automatically make a phone call to notify 110 or 122 of the dangerous event briefing based on whether the living body is a person or a vehicle. At the same time, the remote image verification function can be expanded to send the dangerous event briefing and the facial images collected on the scene to the public security online office system through the mobile network, so that the police can locate and verify the identity information of the portrait in time, and notify the family members of the participants in the dangerous event to stop the dangerous behavior on the scene.

[0088] The information collection module obtains the target cloud interaction alarm number, obtains the alarm interval delay_time2, such as 3min, and obtains the cloud interaction alarm number COUNT. Each time the system executes the cloud interaction alarm function, the cloud interaction alarm number COUNT will increase by 1, and obtain the crisis state. For example, in the crisis state, the living body away state is the living body away from the vehicle or there is a living body that has entered the set dangerous distance or the blind spot under the chassis. In the crisis state, the living body warning away state is that the living body has not left after the warning or the living body has left after the warning and the warning time is not higher than the target warning time. Based on the cloud interaction alarm number, the target cloud interaction alarm number and the alarm interval, the vehicle is controlled to turn off the system sound and light alarm and enter the dormant state, that is, the time interval for the briefing of each alarm event delay_time2 = 3min. After 3min, if the system determines that the living body has left, the system sound and light alarm and voice expulsion stop, T1 timing is reset, the cloud interaction alarm number COUNT is reset, and then the central processing unit and the visual perception unit return to the dormant state. Based on the crisis state and the alarm interval, the vehicle intelligent The management mechanism can determine the warning information of the living body in the blind spot under the vehicle, that is, if the system determines that the living body is still near the vehicle after 3 minutes, the system will continue to execute the cloud interactive alarm function. When the alarm is triggered more than 10 times, the user can remotely operate the mobile phone to turn off the system sound and light alarm, the cloud interactive alarm count COUNT is reset, and the user can go to the scene in time to handle it, obtain the vehicle positioning information, and control the vehicle to perform parking safety alarm feedback dangerous behavior based on the vehicle positioning information and the living body warning information in the blind spot under the vehicle. The parking safety alarm includes mobile network notification alarm and telephone notification alarm, that is, if the vehicle is located in the parking lot area, the system will notify the parking lot management system end of the dangerous event briefing and evidence collection image through the mobile network or automatically dial a phone. If the vehicle is not in the parking lot area, the system will automatically dial a phone to notify 110 or 122 of the dangerous event briefing according to whether the identified living body type is a person or a car. The dangerous event briefing and the evidence face image can also be sent to the public security online office system through the mobile network, which is convenient for the police to verify the identity of the personnel and notify the family members of the participants in the dangerous event to stop the dangerous behavior at the scene.

[0089] In a feasible implementation, step S30 may include steps B11 to B14:

[0090] Step B11, obtaining the target cloud interaction alarm times and the alarm interval time;

[0091] It should be noted that the target cloud interaction alarm number reflects the characteristics of a preset alarm threshold set for controlling the activation of a cloud interaction alarm mechanism, and the alarm interval reflects the characteristics of a time interval between consecutive cloud interaction alarms.

[0092] It can be understood that setting the target number of cloud interaction alarms can represent how many times the system will make remote alarm attempts when the crisis state is not responded to in time or the crisis state is not alleviated, ensuring that the information can be conveyed to the car owner or other relevant emergency responders in time. Setting the alarm interval time effectively avoids the recipient's failure to receive or ignore the alarm information in time, ensuring the continuity and effectiveness of the alarm.

[0093] Step B12, based on the number of cloud interaction alarms, the number of target cloud interaction alarms and the alarm interval, control the vehicle to turn off the system sound and light alarms and enter a dormant state;

[0094] It is understandable that by controlling the vehicle system to enter a dormant state, energy consumption can be significantly reduced, equipment life can be extended, and the system's response speed and safety can be improved, while maintenance costs and environmental impacts can be reduced and user satisfaction can be improved.

[0095] Step B13, triggering the vehicle intelligent management mechanism to determine the warning information of the living body in the blind spot under the vehicle based on the crisis state and the alarm interval time;

[0096] It can be understood that by real-time monitoring and identifying the crisis status of living things in the blind spots under the vehicle, harm to living things in the visual blind spots can be effectively prevented, and alarms can be triggered multiple times based on the alarm interval time, and different crisis states can be classified and prioritized to achieve more effective risk management. The system can also trigger cloud interactive alarms in a timely manner based on real-time assessment of the crisis status, ensuring that emergencies can be handled quickly and reducing the risk of accidents.

[0097] Step B14, based on the living warning information of the blind spot under the vehicle, the vehicle is controlled to issue a parking safety alarm to feedback dangerous behavior.

[0098] It is understandable that the use of multiple methods to implement parking safety alarms has enhanced the owner's ability to remotely monitor vehicle safety. Even if the owner is not on site, he can promptly understand the vehicle's safety status through the cloud interactive alarm mechanism. The linkage with the parking lot and public security systems has improved the response speed and processing efficiency of vehicle safety incidents, which helps to reduce vehicle damage incidents. It also provides strong evidence support for public security to solve cases and insurance claims. At the same time, through the sound and light alarm and voice drive function under the vehicle, the system can issue timely warnings when living things enter dangerous areas to avoid potential safety accidents.

[0099] In a feasible implementation, step B14 may include steps C11 to C12:

[0100] Step C11, obtaining vehicle positioning information;

[0101] It should be noted that the vehicle positioning information reflects the characteristics of the real-time geographic coordinates of the vehicle.

[0102] It is understandable that the vehicle positioning information can represent the current location of the vehicle parked or traveling, and trigger the corresponding alarm and notification mechanism accordingly. If the vehicle is in the parking lot, the system will notify the parking lot management system of the dangerous event briefing and evidence-collecting images through the mobile network or automatically dial a phone. If the vehicle is not in the parking lot, the system will automatically dial a phone to notify 110 or 122 of the dangerous event briefing based on the type of living body identified, and can also send the dangerous event briefing and evidence-collecting facial images to the public security online office system through the mobile network, which significantly improves the accuracy and efficiency of the alarm.

[0103] Step C12, based on the vehicle positioning information and the live warning information of the blind spot under the vehicle, the vehicle is controlled to issue a parking safety alarm to feedback dangerous behavior, wherein the parking safety alarm includes a mobile network notification alarm and a telephone notification alarm.

[0104] It is understandable that the system is able to execute the most appropriate alarm and notification procedures based on the specific location of the vehicle, whether inside or outside the parking lot, to ensure that the information is promptly conveyed to the correct recipient, thereby improving the pertinence and accuracy of the response. Even if the owner is not present, the vehicle's safety status can be promptly understood through the vehicle positioning information and the cloud interactive alarm mechanism, and corresponding measures can be taken.

[0105] This embodiment proposes a method for live warning and parking safety alarm in the blind spot under the vehicle, which obtains live sensing information and warning time; detects dangerous live behaviors in the blind spot under the vehicle based on the live sensing information and the warning time, determines the number of cloud interactive alarms and the crisis state; and controls the vehicle to trigger live warning and parking safety alarm in the blind spot under the vehicle based on the number of cloud interactive alarms and the crisis state. It solves the technical problem of how to more effectively identify dangerous live behaviors and perform live warning and parking safety alarm in the blind spot under the vehicle. Compared with the prior art, this application obtains live sensing information and warning time, analyzes live behaviors to accurately determine potential risks, and performs live warning and parking safety alarm in the blind spot under the vehicle, which effectively improves the safety performance of the vehicle when parking, protects the living beings under the vehicle from harm, reduces vehicle damage incidents, and enhances the owner's ability to remotely monitor the safety of the vehicle. It also efficiently links with the parking lot and public security system, significantly improving the safety of vehicle parking.

[0106] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated later.

[0107] In this embodiment, refer to Figure 3 , Figure 3This is a flow chart of Embodiment 2 of the method for live body warning and parking safety alarm in the blind spot under the vehicle of the present application. Step S20 specifically includes steps S21 to S24:

[0108] Step S21, obtaining the target warning time;

[0109] It should be noted that the target warning time reflects the characteristics of the artificially set threshold of the length of time that a living being stays around a vehicle.

[0110] It can be understood that by setting the target warning time, the system can issue a warning before a living being enters the dangerous area of ​​the vehicle, effectively preventing harm to the living being, while also protecting the vehicle from damage. By setting a reasonable target warning time, the system can avoid excessive response of the system in non-dangerous situations, thereby saving resources and energy wasted due to frequent false alarms, reducing unnecessary alarms, increasing the owner's trust in the system, and enhancing the practicality and reliability of the system.

[0111] For ease of understanding, the target warning time is taken as an example for explanation, wherein the information collection device is an information collection module, the storage device is a memory, and the processing device is a processing module.

[0112] The information collection module obtains the target warning time, such as 3 minutes, stores the target warning time in a memory, and performs subsequent processing based on the target warning time.

[0113] Step S22, based on the living body sensing information, continuously monitoring the living body behavior time to detect the intention of the living body to enter the vehicle crisis area, and obtaining the living body away state;

[0114] It should be noted that the living body separation state reflects the characteristics of the relative position change between the living body and the vehicle.

[0115] It can be understood that the living body away status can monitor the behavior of the living body and determine whether the living body is away from the vehicle. The system can determine whether it has entered a preset danger zone or left the monitoring area, quickly judge potential safety risks, and respond in time, thereby improving the accuracy and response speed of the system and improving overall safety.

[0116] For ease of understanding, the living body away state is taken as an example for explanation, wherein the information collection device is the information collection module, the storage device is the memory, and the processing device is the processing module.

[0117] The information acquisition module obtains the target warning time, such as 3 minutes, obtains the living body perception information, such as the type, distance and position coordinates of the moving object, obtains the warning time T1, continuously monitors the living body behavior time based on the living body perception information to detect the intention of the living body to enter the vehicle crisis area, and obtains the living body away state. When the living body away state is that the living body is away from the vehicle, the vehicle is controlled to enter a dormant state. When the living body away state is that the living body has entered a set dangerous distance or a blind spot under the chassis, the vehicle is controlled to automatically turn on the double flash lights and the anti-theft alarm for sound and light alarm and voice expulsion, and determine the evidence image, that is, if the living body is away from the vehicle, the central processing unit and the visual perception unit return to the dormant state. If the system finds that a living body has entered a set dangerous distance or a blind spot under the chassis, the system controls the double flash lights and the anti-theft alarm to automatically turn on for sound and light alarm, and the timer starts timing to obtain the warning time T1. The system stores the living body image in real time for evidence collection. At the same time, the system can also control the bottom speaker of the vehicle to broadcast danger prompts and voice expel the living body.

[0118] In a feasible implementation manner, step S22 may include steps D11 to D12:

[0119] Step D11, when the living body away state is that the living body is away from the vehicle, controlling the vehicle to enter a dormant state;

[0120] It is understandable that by controlling the vehicle system to enter a dormant state, energy consumption can be significantly reduced, equipment life can be extended, and the response speed and safety of the system can be improved, avoiding frequent alarms in unnecessary situations, thereby improving user satisfaction.

[0121] Step D12, when the living body is in the away state, the living body has entered the set dangerous distance or the blind spot under the chassis, the vehicle is controlled to automatically turn on the double flash lights and the anti-theft alarm to issue an audible and visual alarm and voice drive, and determine the evidence image.

[0122] It is understandable that by monitoring the behavior of living things, the system can determine whether they have entered the preset danger zone or left the monitoring area, and take corresponding safety measures. Accurate monitoring of the living body's away state helps reduce false alarms caused by misjudgment, improve the reliability of the alarm system, protect the vehicle from damage, and improve overall safety.

[0123] Step S23, obtaining the living body warning distance state and the number of cloud interaction alarms based on the living body distance state, the warning time and the target warning time;

[0124] It should be noted that the living body warning distance state reflects the characteristics of the system that the living body is away from the vehicle after being warned.

[0125] It can be understood that the living body warning distance status can represent the monitoring result of whether the living body is away from the vehicle after the warning, and judge whether the warning behavior is effective, that is, whether the living body leaves the dangerous area of ​​the vehicle after receiving the warning, so as to judge whether it is necessary to continue to alarm or take other safety measures.

[0126] For ease of understanding, the example of obtaining the living body warning away status and the number of cloud interaction alarms is used for explanation, wherein the information collection device is the information collection module, the storage device is the memory, and the processing device is the processing module.

[0127] The information collection module obtains the target warning time, such as 3 minutes, and obtains living body perception information, such as the type, distance and position coordinates of the active object, obtains the warning time T1, continuously monitors the living body behavior time based on the living body perception information to detect the intention of the living body to enter the vehicle crisis area, and obtains the living body away state, continuously monitors the living body behavior time based on the living body perception information to detect the intention of the living body to enter the vehicle crisis area, and obtains the living body away state, obtains the living body warning away state and the number of cloud interaction alarms based on the living body away state, the warning time and the target warning time, and performs subsequent processing based on the living body away state and the living body warning away state.

[0128] In a feasible implementation manner, step S23 may include steps E11 to E12:

[0129] Step E11, if the living body does not move away after the living body warning distance state is a warning, automatically generate a real-time danger event briefing based on the living body sensing information, obtain the living body warning information of the blind spot under the vehicle based on the danger event briefing and the forensic image, and increase the number of cloud interactive alarms;

[0130] It is understandable that if the living being does not move away from the vehicle after the warning, the system will not only continue to monitor the behavior of the living being, but also increase the number of cloud interactive alarms to enhance the urgency of the alarm and achieve real-time response to crisis conditions. The real-time update of the number of cloud interactive alarms enables the system to respond quickly to continuous dangerous behaviors, improving the response speed to emergencies. Timely increase in the number of cloud interactive alarms can attract the attention of the owner or relevant departments more quickly, so that quick action can be taken to reduce harm to the living being and damage to the vehicle.

[0131] Step E12, when the living body warning distance state is that the living body has left after the warning and the warning time is not higher than the target warning time, the vehicle is controlled to stop the sound and light alarm and voice expulsion, the warning time and the number of cloud interaction alarms are cleared, and the vehicle is controlled to enter a dormant state.

[0132] It is understandable that by dynamically monitoring whether the living body is away from the vehicle, the system can avoid invalid alarms, improve the efficiency and effectiveness of the alarm system, and cancel the vehicle alarm after the living body is away from the vehicle, and clear the alarm times for retesting, thereby rationally allocating monitoring resources and ensuring sufficient response capabilities when really needed, while avoiding waste of resources.

[0133] Step S24, obtaining a crisis state based on the living body away state and the living body warning away state.

[0134] It can be understood that based on the crisis status, it can be intelligently determined when the alarm level needs to be upgraded and when the alarm can be lifted, thereby improving the intelligence level of the alarm system. By utilizing the information on the number of cloud interactive alarms and crisis status, it is possible to link up with car owners, parking lot management, public security systems, etc., to achieve cross-platform emergency response and safety management, thereby enhancing the effectiveness of the entire social security management network.

[0135] For ease of understanding, the crisis status is taken as an example for explanation, wherein the information collection device is the information collection module, the storage device is the memory, and the processing device is the processing module.

[0136] The information collection module obtains the state of the living body being away and the state of the living body warning being away. If the living body has not been away after the living body warning being away state is a warning, a real-time dangerous event briefing is automatically generated based on the living body sensing information. Based on the dangerous event briefing and the forensic image, the living body warning information of the blind spot under the vehicle is obtained, and the number of cloud interactive alarms is increased. When the living body has been away after the living body warning being away state is a warning and the warning time is not higher than the target warning time, the vehicle is controlled to stop the sound and light alarm and voice expulsion, the warning time and the number of cloud interactive alarms are cleared, and the vehicle is controlled to enter sleep mode. State, that is, if the living body does not move away after the warning, the system automatically generates a real-time dangerous event briefing based on the type and behavior of the living body, and sends it to the owner's mobile phone together with the forensic image, and the cloud interactive alarm count COUNT increases by 1 time. If the living body has moved away after the warning and the warning time T1 is not higher than the target warning time, such as 3 minutes, the system sound and light alarm and voice expulsion stop, T1 timer is reset to zero, cloud interactive alarm count COUNT is reset to zero, and then the central processing unit and the visual perception unit return to the sleep state, and the crisis state is obtained based on the living body away state and the living body warning away state.

[0137] This embodiment proposes a method for live warning and parking safety alarm in the blind spot under the vehicle, which obtains the target warning time; based on the live sensing information, continuously monitors the live behavior time to detect the intention of the live body to enter the vehicle crisis area, and obtains the live body away state; based on the live body away state, the warning time and the target warning time, the live warning away state and the number of cloud interactive alarms are obtained; based on the live body away state and the live warning away state, the crisis state is obtained. The technical problem of how to more accurately identify dangerous behaviors of live bodies for live warning and parking safety alarm in the blind spot under the vehicle is solved. Compared with the prior art, this application sets the target warning time, continuously monitors the live behavior time to judge the intention to enter the vehicle crisis area, and records the live body away state, combines the warning time with the target warning time to determine the live warning away state and the number of cloud interactive alarms, judges the crisis state, and realizes accurate monitoring and timely response to live behaviors in the blind spot under the vehicle, effectively improving the safety performance of the vehicle when parking, reducing the potential risk of accidents, and enhancing the owner's remote monitoring ability of vehicle safety.

[0138] For example, in order to help understand the implementation process of the vehicle bottom blind spot live warning and parking safety alarm method obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 4 , Figure 4 A brief flow chart of a method for a blind spot warning and parking safety alarm under a vehicle is provided, specifically:

[0139] Refer to Example 1, obtain liveness sensing information and warning time; detect dangerous liveness behavior in the blind spot under the vehicle based on the liveness sensing information and the warning time, determine the number of cloud interaction alarms and the crisis state; control the vehicle to trigger the liveness warning and parking safety alarm in the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis state. Refer to Example 2, obtain the target warning time; based on the liveness sensing information, continuously monitor the liveness behavior time to detect the intention of the liveness to enter the crisis area of ​​the vehicle, and obtain the liveness away state; obtain the liveness warning away state and the number of cloud interaction alarms based on the liveness away state, the warning time and the target warning time; obtain the crisis state based on the liveness away state and the liveness warning away state.

[0140] This application can detect in real time whether adults, children, small animals, vehicles and other moving objects are performing dangerous behaviors around the vehicle, such as hiding under the vehicle, the vehicle being accidentally or maliciously hit, scratched or even stolen, by collecting and analyzing vehicle radar and camera image signals through AI when the vehicle is parked. Sound and light alarms and voice expulsion from the vehicle can help suppress dangerous behaviors such as children or small animals hiding under the vehicle, avoid the tragedy of children or small animals being squeezed, injured or killed after the vehicle moves, and also effectively reduce the risk of vehicle damage; it can help the owner to remotely control his or her own vehicle in an environment without human or urban video surveillance. The system can be connected to the parking lot and public security system through voice or network. If the car owner fails to check the dangerous incident briefing in time, the parking lot staff and the police can receive the dangerous incident briefing and image forensic data transmitted by the platform network through voice messages or platform network, and can deal with it in time at the parking spot. The police can even identify the parties involved in the dangerous incident through the facial features in the image, and remotely notify the family members of the parties involved to stop the behavior at the scene to avoid further occurrence of adverse consequences.

[0141] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the method of live warning and parking safety alarm in the blind spot under the vehicle of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0142] This application also provides a vehicle bottom blind spot live warning and parking safety alarm device, please refer to Figure 5 The vehicle bottom blind spot live warning and parking safety alarm device comprises:

[0143] An acquisition module 10 is used to acquire living body sensing information and warning time;

[0144] A processing module 20 is used to detect dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determine the number of cloud interaction alarms and the crisis status;

[0145] The execution module 30 is used to control the vehicle to trigger a live warning and a parking safety alarm in the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis state.

[0146] The acquisition module 10 is also used to acquire the parking status of the vehicle, the switch status of the sensing unit and the time of the living body behavior;

[0147] Detecting an object approaching state based on the parking state of the vehicle and the switch state of the sensing unit, and determining a radar signal and an image signal;

[0148] Analyze the radar signal and the image signal to determine living body perception information, where the living body perception information includes living body type and living body behavior;

[0149] When the living body sensing information indicates that there is a living body that has not entered the set dangerous distance or the blind spot under the chassis, the living body behavior time is continuously monitored to obtain a warning time.

[0150] The processing module 20 is also used to obtain the target warning time;

[0151] Based on the living body sensing information, the living body behavior time is continuously monitored to detect the intention of the living body to enter the vehicle crisis area, and the living body is in a state of being away;

[0152] Based on the living body away state, the warning time and the target warning time, the living body warning away state and the number of cloud interaction warnings are obtained;

[0153] A crisis state is obtained based on the living body away state and the living body warning away state.

[0154] The processing module 20 is further configured to control the vehicle to enter a dormant state when the living body away state is that the living body is away from the vehicle;

[0155] When the living body is in the state of being away from the living body and has entered the set dangerous distance or the blind spot under the chassis, the vehicle is controlled to automatically turn on the double flash lights and the anti-theft alarm to issue an audible and visual alarm and voice drive, and determine the evidence image.

[0156] The processing module 20 is further configured to automatically generate a real-time danger event briefing based on the living body sensing information if the living body does not move away after the living body warning distance state is a warning, obtain the living body warning information in the blind spot under the vehicle based on the dangerous event briefing and the forensic image, and increase the number of cloud interactive alarms;

[0157] When the living body warning away state is that the living body has left after the warning and the warning time is not higher than the target warning time, the vehicle is controlled to stop the sound and light alarm and voice expulsion, the warning time and the number of cloud interaction alarms are reset to zero, and the vehicle is controlled to enter a dormant state.

[0158] The execution module 30 is also used to obtain the target cloud interaction alarm times and the alarm interval time;

[0159] Control the vehicle to turn off the system sound and light alarm and enter a dormant state based on the number of cloud interaction alarms, the number of target cloud interaction alarms and the alarm interval;

[0160] Based on the crisis state and the alarm interval, the vehicle intelligent management mechanism is triggered to determine the living body warning information in the blind spot under the vehicle;

[0161] Based on the live warning information of the blind spot under the vehicle, the vehicle is controlled to perform parking safety alarm feedback on dangerous behaviors.

[0162] The execution module 30 is also used to obtain vehicle positioning information;

[0163] Based on the vehicle positioning information and the live warning information of the blind spot under the vehicle, the vehicle is controlled to perform a parking safety alarm to feedback dangerous behaviors, and the parking safety alarm includes a mobile network notification alarm and a telephone notification alarm.

[0164] The live warning and parking safety alarm device for the blind spot under the vehicle provided by the present application adopts the live warning and parking safety alarm method for the blind spot under the vehicle in the above-mentioned embodiment, which can solve the technical problem of how to accurately and effectively identify dangerous behaviors of live bodies to perform live warning and parking safety alarm for the blind spot under the vehicle. Compared with the prior art, the beneficial effects of the live warning and parking safety alarm device for the blind spot under the vehicle provided by the present application are the same as the beneficial effects of the live warning and parking safety alarm method for the blind spot under the vehicle provided by the above-mentioned embodiment, and the other technical features of the live warning and parking safety alarm device for the blind spot under the vehicle are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0165] The present application provides a device for live warning and parking safety alarm in a blind spot under a vehicle, and the device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for live warning and parking safety alarm in a blind spot under a vehicle in the first embodiment above.

[0166] Reference below Figure 6 , which shows a schematic diagram of the structure of the blind spot live warning and parking safety alarm device suitable for implementing the embodiment of the present application. The blind spot live warning and parking safety alarm device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6 The shown live warning and parking safety alarm device for the blind spot under the vehicle is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0167] like Figure 6As shown, the vehicle bottom blind spot live warning and parking safety alarm device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the vehicle bottom blind spot live warning and parking safety alarm device are also stored. The processing device 1001, ROM 1002, and RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 may allow the under-vehicle blind spot live warning and parking safety alarm device to communicate wirelessly or wired with other devices to exchange data. Although the under-vehicle blind spot live warning and parking safety alarm device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0168] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0169] The live warning and parking safety alarm device for the blind spot under the vehicle provided by the present application adopts the live warning and parking safety alarm method for the blind spot under the vehicle in the above-mentioned embodiment, which can solve the technical problem of how to accurately and effectively identify dangerous behaviors of live bodies to perform live warning and parking safety alarm for the blind spot under the vehicle. Compared with the prior art, the beneficial effects of the live warning and parking safety alarm device for the blind spot under the vehicle provided by the present application are the same as the beneficial effects of the live warning and parking safety alarm method for the blind spot under the vehicle provided by the above-mentioned embodiment, and the other technical features of the live warning and parking safety alarm device for the blind spot under the vehicle are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0170] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0171] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0172] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the method for live warning and parking safety alarm in the blind spot under the vehicle in the above-mentioned embodiment.

[0173] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0174] The computer-readable storage medium may be included in the live warning and parking safety alarm device for the blind spot under the vehicle; or may exist independently without being assembled into the live warning and parking safety alarm device for the blind spot under the vehicle.

[0175] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the live warning and parking safety alarm device for the blind spot under the vehicle, the live warning and parking safety alarm device for the blind spot under the vehicle: obtains live sensing information and warning time; detects dangerous live behaviors in the blind spot under the vehicle based on the live sensing information and the warning time, and determines the number of cloud interaction alarms and the crisis status; and controls the vehicle to trigger the live warning and parking safety alarm for the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis status.

[0176] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0177] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0178] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0179] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned live warning and parking safety alarm method for the blind spot under the vehicle, and can solve the technical problem of how to accurately and effectively identify dangerous behaviors of living things to perform live warning and parking safety alarm for the blind spot under the vehicle. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the live warning and parking safety alarm method for the blind spot under the vehicle provided by the above-mentioned embodiment, and will not be repeated here.

[0180] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for live warning and parking safety alarm in the blind spot under the vehicle, characterized in that: The method includes: Obtain living body perception information and warning time; Detect dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determine the number of cloud interaction alarms and the crisis status; Based on the number of cloud interaction alarms and the crisis status, the vehicle is controlled to trigger a live warning and a parking safety alarm in the blind spot under the vehicle.

2. The method according to claim 1, characterized in that The step of obtaining living body sensing information and warning time includes: Obtain the vehicle parking status, sensor unit switch status and living behavior time; Detecting an object approaching state based on the parking state of the vehicle and the switch state of the sensing unit, and determining a radar signal and an image signal; Analyze the radar signal and the image signal to determine living body perception information, where the living body perception information includes living body type and living body behavior; When the living body sensing information indicates that there is a living body that has not entered the set dangerous distance or the blind spot under the chassis, the living body behavior time is continuously monitored to obtain a warning time.

3. The method according to claim 1, characterized in that The step of detecting dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determining the number of cloud interaction alarms and the crisis status comprises: Get the target warning time; Based on the living body sensing information, the living body behavior time is continuously monitored to detect the intention of the living body to enter the vehicle crisis area, and the living body is in a state of being away; Based on the living body away state, the warning time and the target warning time, the living body warning away state and the number of cloud interaction warnings are obtained; A crisis state is obtained based on the living body away state and the living body warning away state.

4. The method according to claim 3, characterized in that After the step of continuously monitoring the living body behavior time based on the living body sensing information to detect the intention of the living body to enter the vehicle crisis area and obtain the living body away state, the step further includes: When the living body away state is that the living body is away from the vehicle, controlling the vehicle to enter a dormant state; When the living body is in the state of being away from the living body and has entered the set dangerous distance or the blind spot under the chassis, the vehicle is controlled to automatically turn on the double flash lights and the anti-theft alarm to issue an audible and visual alarm and voice drive, and determine the evidence image.

5. The method according to claim 3, characterized in that After the step of obtaining the living body warning distance state and the number of cloud interaction warnings based on the living body distance state, the warning time and the target warning time, the following step further includes: If the living body does not move away after the living body warning distance state is a warning, a real-time danger event briefing is automatically generated based on the living body sensing information, living body warning information in the blind spot under the vehicle is obtained based on the danger event briefing and the forensic image, and the number of cloud interactive alarms is increased; When the living body warning away state is that the living body has left after the warning and the warning time is not higher than the target warning time, the vehicle is controlled to stop the sound and light alarm and voice expulsion, the warning time and the number of cloud interaction alarms are reset to zero, and the vehicle is controlled to enter a dormant state.

6. The method according to claim 1, characterized in that The step of controlling the vehicle to trigger a live body warning and a parking safety warning in the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis state includes: Get the target cloud interaction alarm times and alarm intervals; Control the vehicle to turn off the system sound and light alarm and enter a dormant state based on the number of cloud interaction alarms, the number of target cloud interaction alarms and the alarm interval; Based on the crisis state and the alarm interval, the vehicle intelligent management mechanism is triggered to determine the living body warning information in the blind spot under the vehicle; Based on the live warning information of the blind spot under the vehicle, the vehicle is controlled to perform parking safety alarm feedback on dangerous behaviors.

7. The method according to claim 6, characterized in that The step of controlling the vehicle to perform parking safety alarm feedback dangerous behavior based on the living body warning information in the blind spot under the vehicle includes: Obtain vehicle location information; Based on the vehicle positioning information and the live warning information of the blind spot under the vehicle, the vehicle is controlled to perform a parking safety alarm to feedback dangerous behaviors, and the parking safety alarm includes a mobile network notification alarm and a telephone notification alarm.

8. A vehicle bottom blind spot live warning and parking safety alarm device, characterized in that: The device comprises: An acquisition module is used to obtain living body sensing information and warning time; A processing module, configured to detect dangerous behaviors of living things in the blind spot under the vehicle based on the living thing sensing information and the warning time, and determine the number of cloud interaction alarms and the crisis status; The execution module is used to control the vehicle to trigger a live warning and a parking safety alarm in the blind spot under the vehicle based on the number of cloud interaction alarms and the crisis state.

9. A vehicle bottom blind spot live warning and parking safety alarm device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for live warning and parking safety alarm in the blind spot under the vehicle as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the method for live warning and parking safety alarm in the underbody blind spot as described in any one of claims 1 to 7 are implemented.

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