Vehicle-mounted unmanned aerial vehicle real-time parking monitoring and protection method, system, equipment and medium

Abstract

The invention relates to a vehicle-mounted unmanned aerial vehicle real-time parking monitoring and protection method, system and device and a medium. The vehicle-mounted unmanned aerial vehicle real-time parking monitoring and protection method comprises the following steps that condition information around a vehicle is obtained in real time; and the condition information is analyzed, and if abnormity exists, starting of the unmanned aerial vehicle is triggered. And the unmanned aerial vehicle flies around the vehicle, records the surrounding condition of the vehicle, and transmits shot video and picture information back to the vehicle-mounted terminal. The information is networked with the vehicle machine through the vehicle-mounted terminal, and the system reminds a vehicle owner in real time to warn and pay attention to potential safety risks. Through the carried unmanned aerial vehicle, all-around real-time monitoring and warning of the surrounding environment of the vehicle are achieved, and the safety and protection capacity of the vehicle are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile monitoring, and in particular to a method, system, device and medium for real-time parking monitoring and protection of a vehicle-mounted unmanned aerial vehicle. Background Art

[0002] With the increase in the number of vehicles and the increasing prominence of traffic safety issues, vehicle safety monitoring and protection have become crucial. Traditional vehicle monitoring systems are limited by the field of view and blind spots of fixed cameras, and there are problems with monitoring blind spots and monitoring blind spots.

[0003] Therefore, it is necessary to provide a new vehicle-mounted drone real-time parking monitoring and protection method, system, equipment and medium to solve the above technical problems. Summary of the invention

[0004] The purpose of the present invention is to provide a real-time parking monitoring and protection method for a vehicle-mounted drone in order to solve the above-mentioned problems.

[0005] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0006] A real-time parking monitoring and protection method for a vehicle-mounted drone comprises the following steps:

[0007] Get real-time information about the situation around the vehicle;

[0008] The status information is analyzed, and if there is an abnormality, the vehicle-mounted drone is started and the corresponding preset strategy is executed.

[0009] As a further optimization solution of the present disclosure, the vehicle's surrounding condition information is acquired in real time through the vehicle's perception system.

[0010] As a further optimization solution of the present disclosure, the perception system includes a camera, an ultrasonic sensor, an acceleration sensor, a pressure sensor, and a temperature sensor;

[0011] The camera is used to continuously acquire surrounding environment image data;

[0012] The ultrasonic sensor is used to sense contact or potential collision of objects at close range;

[0013] Accelerometers are used to detect if the vehicle is hit or attempted to be towed;

[0014] Pressure sensors are used to monitor changes in pressure in the vehicle chassis or at the support points under the wheels;

[0015] The temperature sensor is used to determine whether there is a fire source around the vehicle.

[0016] As a further optimization solution of the present disclosure, the status information is analyzed and judged by the cockpit domain controller CDC.

[0017] As a further optimization solution of the present disclosure, analyzing the status information includes:

[0018] Performing preliminary processing and cleaning on the status information, including removing noise, filtering invalid data, and calibrating sensor data;

[0019] Extract key feature information from the preprocessed data, including specific objects and their behavior information in the image data, specific patterns in the sound data, and acceleration changes and vibration information of the vehicle;

[0020] The built-in algorithm model is used to perform threat assessment on the extracted feature information.

[0021] As a further optimization scheme of the present disclosure, performing threat assessment on the extracted feature information includes:

[0022] Classify and identify feature information to determine whether it is a potential threat;

[0023] Rank threats according to their severity and urgency;

[0024] Based on the classification results, decide whether to trigger the alarm mechanism.

[0025] As a further optimization scheme of the present disclosure, the status information is analyzed, and if there is an abnormality, the vehicle-mounted drone is started and the corresponding preset strategy is executed, including:

[0026] The drone is started and placed in a preset orbit to fly around the vehicle, record the situation around the vehicle, and transmit the captured video and picture information back to the vehicle terminal. The vehicle terminal is connected to the vehicle computer through the vehicle terminal to remind the owner in real time and warn him of potential safety risks.

[0027] A vehicle-mounted drone real-time parking monitoring and protection system, comprising:

[0028] An information acquisition module is used to obtain the status information around the vehicle in real time;

[0029] The analysis control module is used to analyze the status information, and if there is an abnormality, start the vehicle-mounted drone and execute the corresponding preset strategy.

[0030] An electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0031] Memory, for storing computer programs;

[0032] The processor is used to implement a real-time parking monitoring and protection method for a vehicle-mounted drone when executing a program stored in the memory.

[0033] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a real-time parking monitoring and protection method for a vehicle-mounted unmanned aerial vehicle.

[0034] The beneficial effects of the present disclosure are:

[0035] The present invention realizes all-round real-time monitoring and alerting of the vehicle's surrounding environment through the carried drone, thereby improving the vehicle's safety and protection capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a flow chart of a method in an embodiment of the present disclosure;

[0037] Figure 2 is a schematic diagram of a vehicle sentry mode in an embodiment of the present disclosure;

[0038] Figure 3 is a schematic diagram of the monitoring field of view of a drone in an embodiment of the present disclosure;

[0039] Figure 4 is a working principle diagram of the vehicle sentry mode in an embodiment of the present disclosure;

[0040] Figure 5 is a system structure block diagram in an embodiment of the present disclosure;

[0041] Figure 6 It is a block diagram of the device structure in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0042] The present application is further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technical personnel in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0043] like Figure 1 As shown, a real-time parking monitoring and protection method for a vehicle-mounted drone includes the following steps:

[0044] 1. Obtain information about the vehicle’s surroundings in real time, including:

[0045] The car enters sentry mode, such as Figure 2 As shown, the vehicle's perception system obtains real-time information on the conditions around the vehicle, including the vehicle's blind spots, sides, and rear areas, to help avoid safety hazards caused by blind spots and improve the vehicle's safety and monitoring capabilities.

[0046] The sensing system includes a camera (including a driving recorder), an ultrasonic sensor, an acceleration sensor, a pressure sensor, and a temperature sensor;

[0047] The camera is used to continuously acquire image data of the surrounding environment and capture any suspicious activities;

[0048] The ultrasonic sensor is used to sense close contact or potential collision with an object, and once an object is detected approaching the vehicle, an alarm state is triggered;

[0049] Accelerometers are used to detect if the vehicle is hit or attempted to be towed;

[0050] Pressure sensors are used to monitor changes in pressure at the vehicle chassis or support points under the wheels to prevent attempts to steal the vehicle;

[0051] The temperature sensor is used to determine whether there is a fire source around the vehicle.

[0052] 2. Analyze the status information, and if there is any abnormality, start the vehicle-mounted drone and execute the corresponding preset strategy.

[0053] The status information is analyzed and judged by the vehicle computer (eg, cockpit domain controller CDC).

[0054] Analyzing the status information includes:

[0055] The status information is preliminarily processed and cleaned, including removing noise, filtering invalid data, and calibrating sensor data to ensure the accuracy and reliability of subsequent analysis.

[0056] Extract key feature information from the preprocessed data, including specific objects (such as people, animals, vehicles, etc.) and their behavior information (such as approach, touch, damage, etc.) in the image data, specific patterns (such as knocking, explosion, etc.) in the sound data, and acceleration changes and vibration information of the vehicle;

[0057] The built-in algorithm model is used to perform threat assessment on the extracted feature information.

[0058] Performing threat assessment on the extracted feature information includes:

[0059] Classify and identify feature information to determine whether it is a potential threat;

[0060] Rank threats according to their severity and urgency;

[0061] Based on the classification results, decide whether to trigger the alarm mechanism.

[0062] like Figure 3 As shown, if there is an abnormality, the drone is started, and the drone enters the preset orbit to fly around the vehicle, records the situation around the vehicle, and transmits the captured video and picture information back to the vehicle terminal, which is connected to the vehicle computer through the vehicle terminal to remind the owner in real time and warn of potential safety risks. The drone is equipped with high-definition cameras, infrared sensors, communication modules, navigation systems and other equipment. The drone has autonomous flight and obstacle avoidance functions and can fly freely in the airspace around the vehicle. The drone monitors the vehicle's surrounding environment in real time through these devices, providing all-round safety protection for the vehicle.

[0063] The drone also has an automatic follow mode:

[0064] The working principle of the drone entering the automatic following mode. The drone follows the vehicle and keeps a certain distance, continuously monitoring the vehicle's surroundings and providing real-time safety protection for the vehicle. This automatic following mode ensures that the vehicle is always effectively monitored and protected during driving, improving the safety of the vehicle and the driver's sense of security.

[0065] The workflow of the real-time parking monitoring and protection method of a vehicle-mounted drone in the disclosed embodiment is as follows: Figure 4 shown.

[0066] like Figure 5 As shown, an embodiment of the present disclosure provides a vehicle-mounted drone real-time parking monitoring and protection system, comprising:

[0067] An information acquisition module is used to obtain the status information around the vehicle in real time;

[0068] The analysis control module is used to analyze the status information, and if there is an abnormality, start the vehicle-mounted drone and execute the corresponding preset strategy.

[0069] The implementation process of the functions and effects of each module in the above system is specifically described in the implementation process of the corresponding steps in the above method, which will not be repeated here.

[0070] For the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0071] In the above-mentioned embodiment, any multiple of all modules can be combined in one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least some functions of one or more of these modules can be combined with at least some functions of other modules and implemented in one module. At least one of all modules can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation modes of software, hardware and firmware or in a suitable combination of any of them. Alternatively, at least one of all modules can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding function can be executed.

[0072] See also Figure 6 , an electronic device provided by an embodiment of the present disclosure includes a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120, and the memory 1130 communicate with each other through the communication bus 1140;

[0073] Memory 1130, for storing computer programs;

[0074] The processor 1110 is used to implement the real-time parking monitoring and protection method of the vehicle-mounted drone when executing the program stored in the memory 1130 as shown below.

[0075] The communication bus 1140 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 1140 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0076] The communication interface 1120 is used for communication between the above electronic device and other devices.

[0077] The memory 1130 may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory 1130 may also be at least one storage device located away from the processor 1110.

[0078] The above-mentioned processor 1110 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0079] The embodiment of the present disclosure further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the above-mentioned vehicle-mounted drone real-time parking monitoring and protection method is implemented.

[0080] The computer-readable storage medium may be included in the device / apparatus described in the above embodiment; or it may exist independently without being assembled into the device / apparatus. The above computer-readable storage medium carries one or more programs. When the above one or more programs are executed, the real-time parking monitoring and protection method of the vehicle-mounted drone according to the embodiment of the present disclosure is implemented.

[0081] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: 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), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0082] The above-mentioned embodiments only express several implementation methods of the present disclosure, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present disclosure. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present disclosure, and these all belong to the protection scope of the present disclosure.

Claims

1. A real-time parking monitoring and protection method for a vehicle-mounted drone, characterized in that: The following steps are involved: Get real-time information about the situation around the vehicle; The status information is analyzed, and if there is an abnormality, the vehicle-mounted drone is started and the corresponding preset strategy is executed.

2. A vehicle-mounted drone real-time parking monitoring and protection method according to claim 1, characterized in that: The vehicle's perception system is used to obtain real-time information about the conditions around the vehicle.

3. A vehicle-mounted drone real-time parking monitoring and protection method according to claim 2, characterized in that: The sensing system includes a camera, an ultrasonic sensor, an acceleration sensor, a pressure sensor, and a temperature sensor; The camera is used to continuously acquire surrounding environment image data; The ultrasonic sensor is used to sense contact or potential collision of objects at close range; Accelerometers are used to detect if the vehicle is hit or attempted to be towed; Pressure sensors are used to monitor changes in pressure in the vehicle chassis or at the support points under the wheels; The temperature sensor is used to determine whether there is a fire source around the vehicle.

4. The method for real-time parking monitoring and protection of a vehicle-mounted drone according to claim 1, characterized in that: The cockpit domain controller CDC analyzes and judges the status information.

5. The method for real-time parking monitoring and protection of a vehicle-mounted drone according to claim 1, characterized in that: Analyzing the status information includes: Performing preliminary processing and cleaning on the status information, including removing noise, filtering invalid data, and calibrating sensor data; Extract key feature information from the preprocessed data, including specific objects and their behavior information in the image data, specific patterns in the sound data, and acceleration changes and vibration information of the vehicle; The built-in algorithm model is used to perform threat assessment on the extracted feature information.

6. A method for real-time parking monitoring and protection of a vehicle-mounted drone according to claim 5, characterized in that: Performing threat assessment on the extracted feature information includes: Classify and identify feature information to determine whether it is a potential threat; Rank threats according to their severity and urgency; Based on the classification results, decide whether to trigger the alarm mechanism.

7. The method for real-time parking monitoring and protection of a vehicle-mounted drone according to claim 1, characterized in that: The status information is analyzed, and if there is an abnormality, the vehicle-mounted drone is started and the corresponding preset strategy is executed, including: The drone is started and placed in a preset orbit to fly around the vehicle, record the situation around the vehicle, and transmit the captured video and picture information back to the vehicle terminal. The vehicle terminal is connected to the vehicle computer through the vehicle terminal to remind the owner in real time and warn him of potential safety risks.

8. A real-time parking monitoring and protection system for a vehicle-mounted drone, characterized in that: include: An information acquisition module is used to obtain the status information around the vehicle in real time; The analysis control module is used to analyze the status information, and if there is an abnormality, start the vehicle-mounted drone and execute the corresponding preset strategy.

9. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, for storing computer programs; The processor is used to implement the real-time parking monitoring and protection method for a vehicle-mounted drone as described in any one of claims 1 to 7 when executing the program stored in the memory.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the real-time parking monitoring and protection method for a vehicle-mounted drone described in any one of claims 1-7 is implemented.

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