Vehicle camping security method and system, electronic equipment and vehicle

Abstract

The invention provides a vehicle camping security method and system, electronic equipment and a vehicle, and relates to the technical field of vehicles. The method comprises the steps that real-time monitoring data of a camping area where a vehicle is located are acquired, and the real-time monitoring data comprise data acquired by an unmanned aerial vehicle and data acquired by the vehicle in real time in the camping area; obtaining dynamic characteristics of a target object in the camping area according to the real-time monitoring data of the camping area; and when a risk is identified according to the dynamic characteristics of the target object, starting a protection measure. The safety of vehicle camping is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to a vehicle camping security method, system, electronic equipment, and vehicle. Background Art

[0002] With the increasing popularity of automobiles, vehicle safety issues are becoming increasingly prominent. Parking safety issues arise when camping. Traditional camping security systems often have limitations, such as insufficient detection capabilities in complex environments and high false alarm rates.

[0003] Therefore, it is necessary to seek a more accurate and reliable vehicle camping security solution. Summary of the Invention

[0004] In view of this, embodiments of the present disclosure provide a vehicle camping security method, system, electronic device, and vehicle to improve the safety of vehicle camping.

[0005] In a first aspect, the present disclosure provides a vehicle camping security method, applied to a vehicle, the method comprising:

[0006] Acquiring real-time monitoring data of a camping area where the vehicle is located, wherein the real-time monitoring data includes data collected by the drone and the vehicle respectively in real time on the camping area;

[0007] acquiring dynamic characteristics of target objects within the camping area based on real-time monitoring data of the camping area;

[0008] When a risk is identified based on the dynamic characteristics of the target object, protective measures are initiated.

[0009] In a second aspect, the present disclosure provides a vehicle camping security system, including a drone and a vehicle;

[0010] The drone is used to collect data in real time about the camping area where the vehicle is located;

[0011] The vehicle is used to collect data of the camping area where the vehicle is located in real time, and combine the data collected in real time by the drone to obtain real-time monitoring data of the camping area where the vehicle is located; based on the real-time monitoring data of the camping area, dynamic characteristics of target objects in the camping area are obtained; when risks are identified based on the dynamic characteristics of the target objects, protective measures are initiated.

[0012] In a third aspect, the present disclosure provides an electronic device, comprising:

[0013] at least one processor; and

[0014] a memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores at least one computer program executable by the at least one processor, and the at least one computer program is executed by the at least one processor to enable the at least one processor to perform the vehicle camping security method as described in the first aspect.

[0016] In a fourth aspect, the present disclosure provides a vehicle configured to implement the vehicle camping security method described in the first aspect.

[0017] In a fifth aspect, the present disclosure provides a computer program product, which includes a computer program. When the computer program is executed in a processor, it implements the vehicle camping security method described in the first aspect.

[0018] The embodiments disclosed herein utilize drones to assist in camping security. Real-time monitoring data of the camping area, collected by both drones and vehicles, is obtained. Based on this real-time monitoring data, dynamic characteristics of target objects within the camping area are acquired. When risks are identified based on these dynamic characteristics, protective measures are initiated. Drone assistance can expand the scope of vehicle camping areas. The collaborative monitoring of drones and vehicles compensates for the limitations of remote vehicle monitoring, enabling comprehensive coverage of the vehicle camping area. This improves the comprehensiveness and accuracy of camping security and ensures parking safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0020] Figure 1 The figure shows a flow chart of a vehicle camping security method according to an embodiment of the present disclosure;

[0021] Figure 2 It is a schematic diagram showing the implementation process of a specific example of vehicle camping security in an embodiment of the present disclosure;

[0022] Figure 3 FIG2 is a structural block diagram of a vehicle camping security system according to an embodiment of the present disclosure;

[0023] Figure 4 FIG. 1 is a schematic structural diagram of an electronic device in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present disclosure without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0025] In the absence of conflict, the various embodiments of the present disclosure and the various features therein may be combined with each other.

[0026] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0027] The terms used herein are only used to describe specific embodiments and are not intended to limit the present disclosure. As used herein, the singular forms "a" and "the" are also intended to include the plural forms, unless the context clearly indicates otherwise. It will also be understood that when the terms "comprising" and / or "made of" are used in this specification, the presence of the features, wholes, steps, operations, elements and / or components is specified, but the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof is not excluded. Similar words such as "connected" or "connected" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0028] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted as having an idealized or overly formal meaning unless expressly defined as such herein.

[0029] Overview

[0030] During camping, external threats such as wild animals and uninvited guests can invade campsites, posing a serious threat to personal and property safety. Traditional campsite security methods rely on manual patrols, which consume a significant amount of manpower and lack comprehensive, real-time monitoring. Existing vehicle-based camping security technologies mostly rely on millimeter-wave radar and surround-view cameras to detect intruders. However, surround-view cameras are limited in range by visible light and can only monitor at close range, making them inadequate for longer-range monitoring and unable to cover the entire campsite. This is particularly true in remote or complex terrain, where blind spots exist, limiting security in camping scenarios.

[0031] Furthermore, existing security methods lack intelligent target recognition and judgment capabilities, making it difficult to accurately distinguish between campers' activity areas and dangerous areas, resulting in frequent false alarms and missed alerts. When targets are detected invading campsites, there's no way to detect and effectively remove them, preventing potential threats and ensuring camper safety.

[0032] Exemplary Methods

[0033] The disclosed embodiments provide a vehicle camping security method that can be applied to a vehicle's main controller or other terminals capable of communicating with the vehicle and / or sensors mounted on the vehicle. For example, a "camping smart guard" functional module is provided in the vehicle. This module contains code for executing the vehicle camping security method provided by the disclosed embodiments. After the vehicle is parked at a campsite, the user activates the "camping smart guard" function through the vehicle's vehicle-mounted interface, voice control, app control, or other methods, thereby executing the vehicle camping security method provided by the disclosed embodiments for camping defense.

[0034] The vehicle camping security method provided by the embodiment of the present disclosure is as follows: Figure 1 As shown, it mainly includes the following steps:

[0035] Step 101: Acquire real-time monitoring data of a camping area where a vehicle is located, wherein the real-time monitoring data includes data collected by a drone and the vehicle respectively on the camping area in real time.

[0036] In some embodiments, a danger monitoring zone and a safe activity zone are delineated in the camping area where the vehicle is located, wherein the danger monitoring zone may be outside the safe activity zone, and prevention is carried out by monitoring suspicious target objects in the danger monitoring zone to monitor whether the suspicious target objects have any tendency to invade the safe activity zone, and by monitoring protected target objects in the safe activity zone to monitor whether the protected target objects have any tendency to leave the safe activity zone.

[0037] Specifically, the real-time monitoring data includes drone monitoring data and vehicle monitoring data; the real-time monitoring data of the camping area where the vehicle is located is obtained, including: obtaining the dangerous monitoring area and the safe activity area in the camping area where the vehicle is located; controlling the drone to monitor the dangerous monitoring area and the safe activity area in real time, and obtaining the drone monitoring data of the dangerous monitoring area and the safe activity area provided by the drone; controlling the vehicle's sensors to monitor the safe activity area in real time or to monitor the safe activity area and the dangerous monitoring area in real time, and obtain the vehicle monitoring data; obtaining the real-time monitoring data based on the drone monitoring data and the vehicle monitoring data.

[0038] This approach utilizes drone-mounted cameras and other sensors to conduct aerial monitoring of the area around the vehicle's axles or specific areas, collecting environmental data such as images and videos, thus expanding the data collection range. Simultaneously, the vehicle's own sensors, such as millimeter-wave radar, provide real-time information about the distance, speed, and angle of objects in the vehicle's surroundings, providing the vehicle with 360-degree environmental awareness data. Combining real-time monitoring data from drones and vehicles provides comprehensive environmental information for vehicle camping protection. Compared to the related art of stationing vehicle surround-view cameras, this approach is not limited by the camera's short visible light image acquisition range. By using drones to assist the vehicle's already installed sensors, it can fly farther and collect video and other data, thereby expanding the monitoring range.

[0039] For example, after the "Camping Smart Guard" function is turned on, the drone is controlled to take off autonomously and patrol the camping area where the vehicle is located along a preset or autonomously planned route. It uses cameras and other sensors to collect information on the terrain, obstacles and potential sources of danger in the camping site, generates and stores a three-dimensional map model, and provides basic data for subsequent monitoring.

[0040] In some embodiments, the danger monitoring zone and safe activity zone of the camping area where the vehicle is located can be user-defined via the vehicle's onboard interface, an app installed on a mobile device, or the like, or can be automatically divided based on user operations. Exemplarily, obtaining the danger monitoring zone and safe activity zone within the camping area where the vehicle is located includes: determining the boundaries of a non-monitoring area of the camping area in response to an operation to demarcate a non-monitoring area of the camping area where the vehicle is located; and dividing the area of the camping area, excluding the non-monitoring area, based on the boundaries of the non-monitoring area, to obtain the danger monitoring zone and safe activity zone. Other division methods may also be used, and are not limited here.

[0041] Exemplarily, the area of the camping area other than the non-monitored area is divided to obtain a dangerous monitoring area and a safe activity area, including: when dividing the area of the camping area other than the non-monitored area, a safe activity area is defined with the location of the camping sign as the center, and the area surrounding the safe activity area is defined as a dangerous monitoring area. The location of the camping sign can be determined by determining the location of camping equipment (tents, tables and chairs, etc.). The safe activity area is defined by extending the area of the camping sign to the periphery by a first preset distance. The dangerous monitoring area is defined by extending the area of the safe activity area to the periphery by a second preset distance. Alternatively, the remaining area of the camping area other than the non-monitored area and the safe activity area is defined as a dangerous monitoring area.

[0042] For example, the user manually draws a polygonal area through the vehicle-computer interaction interface or an APP installed on the mobile terminal to demarcate the non-monitoring area. For example, streets, playgrounds and other areas with frequent activities are designated as non-monitoring areas, allowing protected persons to move freely without triggering an alarm; this method automatically monitors the camping area outside the non-monitoring area, and immediately triggers an alarm if a suspicious target object is found to have intruded.

[0043] Step 102: Acquire dynamic features of target objects in the camping area based on real-time monitoring data of the camping area.

[0044] In some embodiments, through real-time monitoring of the camping area, the dynamics of each target object in the danger monitoring zone and the safe activity zone are continuously tracked, and their movement trajectories are predicted. Specifically, the acquisition of dynamic features of the target objects in the camping area based on the real-time monitoring data of the camping area includes: identifying suspicious target objects in the danger monitoring zone based on the real-time monitoring data of the camping area, and acquiring the dynamic features of the suspicious target objects; wherein the dynamic features of the suspicious target objects are used to describe the movement trajectories of the suspicious target objects; identifying protected target objects in the safe activity zone based on the real-time monitoring data of the camping area, and acquiring the dynamic features of the protected target objects; wherein the dynamic features of the protected target objects are used to describe the movement trajectories of the protected target objects.

[0045] It is understandable that the dynamic characteristics of a suspicious target object or a protected target object may also be other dynamic characteristics besides the movement trajectory. These dynamic characteristics can represent dynamic information such as the relative distance, movement speed, and running direction between the target object and the vehicle.

[0046] For example, the vehicle's millimeter-wave radar is used to scan targets within a range of 0-100 meters around the vehicle, identify the target type (people, animals, mobile devices, wearable devices, etc.), assign a unique representation to each target, and mark the target's dynamic characteristics such as position, speed and movement direction.

[0047] For example, the drone cruises around the vehicle at a preset frequency (e.g., once every 10-15 minutes), and the high-definition camera on board (e.g., supporting 4K image quality and infrared night vision) captures the surrounding scenes and transmits them back to the vehicle in real time. The vehicle analyzes the images or videos taken by the drone to obtain the dynamic characteristics of the target (e.g., whether it is staying, movement trajectory, etc.).

[0048] In some embodiments, identifying suspicious target objects in the dangerous monitoring area based on real-time monitoring data of the dangerous monitoring area in the camping area includes: obtaining a pre-configured whitelist, wherein the whitelist includes feature description information of protected target objects allowed to enter the safe activity area; obtaining feature description information of each target object in the dangerous monitoring area based on the real-time monitoring data of the dangerous monitoring area in the camping area; and identifying target objects that do not belong to the whitelist as suspicious target objects based on the feature description information of the target object and the feature description information of the protected object.

[0049] At the same time, based on the real-time monitoring data of the safe activity zone in the camping area, the protected target objects in the safe activity zone are identified, including: obtaining a pre-configured white list, wherein the white list includes feature description information of the protected target objects allowed to enter the safe activity zone; based on the real-time monitoring data of the safe activity zone in the camping area, obtaining feature description information of each target object in the safe activity zone; based on the feature description information of the target object and the feature description information of the protected object, identifying the target object belonging to the white list as the protected target object.

[0050] To facilitate the distinction between suspicious and protected targets, a pre-configured whitelist includes descriptive information about people, vehicles, and pets permitted to enter the protected area. This descriptive information can be derived from features identified through images or videos of people, vehicles, and pets, as well as identifiers on wearable devices capable of identifying them. The descriptive information can be extracted by feeding images or videos of people, vehicles, and pets into a deep learning model.

[0051] Step 103: When a risk is identified based on the dynamic characteristics of the target object, protective measures are initiated.

[0052] In some embodiments, the danger determination rules are pre-configured, and the presence of risk and whether to trigger the initiation of protective measures are determined based on the dynamic characteristics of the target object and the danger determination rules. For example, users can customize some dangerous scenarios or dangerous behaviors according to their own needs and preferences. In the method, the dynamic characteristics of the target object are compared with the dangerous scenarios or dangerous behaviors customized by the user to identify whether there is a risk, and to initiate protective measures when a risk is identified. Exemplarily, the danger determination rules are placed in the large model algorithm, and the dynamic characteristics of the target object are input into the large model algorithm. The large model algorithm evaluates the risk level (low, medium or high) based on the dynamic characteristics of the target object such as speed, intrusion direction, and residence time, combined with the danger determination rules. For example, if the target object moves quickly toward the vehicle and continues to approach, it is determined to be a high risk.

[0053] The following are some examples to illustrate the identified risks and the corresponding protective measures:

[0054] Example 1, when a risk is identified based on the dynamic characteristics of the target object, the protection measures are initiated, including: based on the dynamic characteristics of the suspicious target object, determining that the suspicious target object is close to the vehicle and the distance from the target vehicle is less than a distance threshold, identifying an intrusion risk and initiating protection measures according to a first protection strategy; the first protection strategy includes at least one of the following: controlling the drone to approach the suspicious target object for voice expulsion, locating the position of the suspicious target object, and obtaining a video or image of the suspicious target object; controlling the vehicle to sound an alarm, and recording an intrusion video of the suspicious target object, and pushing the intrusion video to the vehicle for display or to the target terminal for display.

[0055] Specifically, vehicle alarms include flashing lights (such as double flashes) and honking the horn (short or long beeps), among other basic warnings, to deter potential threats. With the first protection strategy, when a suspicious target intrudes, the drone uses its positioning system and image recognition technology to precisely locate the target, taking high-definition photos to record its features and location. Simultaneously, the voice announcer issues a preset tone to repel the target.

[0056] Example 2, when the risk is identified based on the dynamic characteristics of the target object, the protective measures are initiated, including: based on the dynamic characteristics of the protected target object, determining that the protected target object is showing a trend of leaving the safe activity area or abnormal movement, identifying abnormal risks, and initiating protective measures according to the second protection strategy; the second protection strategy includes at least one of the following: controlling the vehicle to honk in a specified manner; sending an alarm message to the vehicle or target terminal, the alarm message including the location of the protected dynamic object and a video clip of the protected target object being detected to be at risk. The specified honk includes honk with a special rhythm such as double honk at intervals.

[0057] Specifically, if the protected target object in the safe activity area (such as babies, children, user pets, camping equipment) shows a tendency to move away from the vehicle or moves abnormally (such as the equipment being dragged), the vehicle triggers a special rhythm horn sound (such as double horns at intervals) and sends an alarm message to the car computer / mobile phone, including the target location and abnormal video clips, to remind the user to check and handle it.

[0058] Example 3, based on Example 1, after the protection measures are initiated according to the first protection strategy, the method also includes: controlling the drone to perform an enhanced expulsion operation; wherein the enhanced expulsion operation includes at least one of the following: releasing expulsion smoke toward the suspicious target object, and irradiating the suspicious target object with strong light.

[0059] By performing a preliminary alarm response in the first protection strategy of Example 1, if the suspicious target object cannot be driven away, the enhanced driving away operation of Example 3 is performed.

[0060] Specifically, if a suspicious target in the dangerous surveillance zone is detected moving toward the vehicle, the drone quickly flies 2-3 meters above the target and plays a preset voice message (such as "You have entered the surveillance area. Non-campers, please leave immediately") to drive them away. If the suspicious target continues to intrude, the vehicle initiates enhanced dispersal: flashing lights (high frequency flashing), honking the horn (continuous long beeping), and activating the vehicle's surround-view camera to record high-definition video and push it to the vehicle computer or mobile phone in real time, allowing users to remotely view the scene.

[0061] For example, in each of the above examples, regardless of whether there's a persistent intrusion into the dangerous monitoring zone or an abnormality in the safe activity zone, a unified alarm response is implemented: the vehicle flashes its lights and honks its horn to dispel the intruder, a pop-up window displays the alarm details (time, target type, and location) on the vehicle's interface, and a notification with a video link is pushed to the mobile app. Users can use the terminal to call up a drone for a close-up shot of the target or remotely control the drone to further dispel the intrusion (e.g., by releasing a smoke screen or illuminating it with a strong light).

[0062] In some embodiments, before identifying risks based on the dynamic characteristics of the target object, special scenes are first filtered. For example, animal characteristics are identified through artificial intelligence algorithms, and combined with the identified geo-fences, the animal activity areas enclosed by geo-fences are filtered out from the camping area; and / or, video analysis technology is used to identify non-biological movement characteristics in the natural environment, and filter out natural environment change characteristics to avoid false alarms; and / or, the normal behavior patterns of campers in the activity area are learned through behavioral patterns, so as to match the dynamic characteristics of the target object with the normal behavior pattern when identifying risks, so as to identify dynamic characteristics that do not conform to the normal behavior pattern, and avoid identifying dynamic characteristics that conform to the normal behavior pattern as abnormalities, resulting in false alarms; and / or, through equipment feature recognition, the reflected signal of the camping equipment is distinguished from the dynamic characteristics of the target object to be identified, and equipment interference is filtered out.

[0063] In some embodiments, a vehicle executes the vehicle camping security method described above and transmits real-time monitoring data of the camping area obtained by the vehicle and drone to a server for storage. The server also transmits identified risks and implemented protective measures to the server. The server stores and manages the real-time monitoring data, risks, and protective measures, making them readily available to users via a terminal.

[0064] In an exemplary embodiment, Figure 2 The following is a specific example of vehicle camping security, which mainly includes:

[0065] Step 201: After the vehicle is parked at the campsite, the camping smart guard function is enabled and safe activity zones, dangerous monitoring zones, and protective measures are set;

[0066] In step 202, the vehicle is scanned and identified by the millimeter-wave radar and assigned an ID. Meanwhile, the drone can also periodically patrol and photograph the area around the vehicle.

[0067] In step 203, the vehicle continuously tracks and predicts the dynamics of each target object in the danger monitoring area and the safe activity area based on the real-time monitoring data from the millimeter-wave radar and the drone, assesses the risk level using a large model algorithm, and implements the configured protective measures such as flashing lights and honking the horn.

[0068] Step 204: When a target is detected in the dangerous monitoring area and intrudes into the vehicle, the drone flies over the target and drives it away using voice;

[0069] Step 205: If the intrusion continues, the vehicle flashes its lights and honks its horn to drive the target away, and activates the surround view camera and displays the video on the vehicle interface or sends an alarm message to the mobile phone, so that the user can view and take measures.

[0070] Step 206: When the target in the safe activity zone is detected to be moving away or an accident occurs, the vehicle performs a special horn sound;

[0071] Step 207: Send an alarm message to the vehicle computer interface or mobile phone so that the user can view and take measures.

[0072] The embodiments disclosed herein utilize drones to assist in camping security. Real-time monitoring data of the camping area, collected by both drones and vehicles, is obtained. Based on this real-time monitoring data, dynamic characteristics of target objects within the camping area are acquired. When risks are identified based on these dynamic characteristics, protective measures are initiated. Drone assistance can expand the scope of vehicle camping areas. The collaborative monitoring of drones and vehicles compensates for the limitations of remote vehicle monitoring, enabling comprehensive coverage of the vehicle camping area. This improves the comprehensiveness and accuracy of camping security and ensures parking safety.

[0073] Based on the above analysis, the camping security method provided by the embodiment of the present disclosure has the following advantages: the monitoring distance is longer. Compared with the surround-view camera of the existing smart guard, which is limited by visible light and has a short video acquisition distance, the embodiment of the present disclosure adds a drone, which can fly to a farther distance to patrol and acquire video, thereby expanding the monitoring range; the monitoring is more comprehensive, and a collaborative working mechanism for various devices is established. After the millimeter-wave radar detects an intrusion, the drone can act within the set range, can realize distant monitoring, and can more comprehensively cover the camping area; it has active defense. When a suspicious target is found to be approaching continuously, the drone can be used to shout or play audio to drive away the intruder. The embodiment of the present disclosure enhances safety during camping; the recognition accuracy is improved, and the user-defined whitelist area meets personalized needs. The deep learning algorithm improves the accuracy and reliability of target recognition, reduces false alarms and missed alarms, and improves the level of intelligent monitoring.

[0074] It is understood that the above-mentioned various method embodiments mentioned in this disclosure can be combined with each other to form combined embodiments without violating the principle logic. Due to space limitations, this disclosure will not go into details. It is understood by those skilled in the art that in the above-mentioned methods of specific implementation, the specific execution order of each step should be determined by its function and possible internal logic, and the execution order between steps is not limited to being implemented according to the step number.

[0075] Exemplary Systems

[0076] Based on the same concept, the embodiment of the present disclosure also provides a vehicle camping security system, such as Figure 3 As shown, it mainly includes a drone 30 and a vehicle 31; the drone and the vehicle establish a communication connection;

[0077] The drone 30 is used to collect data of the camping area where the vehicle is located in real time;

[0078] The vehicle 31 is used to collect data of the camping area where the vehicle is located in real time, and combine it with the data collected by the drone in real time to obtain real-time monitoring data of the camping area where the vehicle is located; based on the real-time monitoring data of the camping area, the dynamic characteristics of the target objects in the camping area are obtained; when a risk is identified based on the dynamic characteristics of the target objects, protective measures are initiated.

[0079] Through the cameras and other sensors carried by drones, aerial monitoring of the area around the vehicle or a specific area can be carried out to collect images, videos and other environmental data to provide the vehicle with more comprehensive environmental information.

[0080] In some embodiments, the system further includes a server 32 , which establishes a communication connection with the vehicle; the server is used to store the real-time monitoring data and the protective measures.

[0081] In some embodiments, the vehicle 31 includes a millimeter-wave radar sensing module 3101 , a vehicle-side processing module 3102 , a user-defined danger module 3103 , a vehicle display module 3104 , and an alarm module 3105 .

[0082] The millimeter-wave radar sensing module 3101 uses millimeter-wave radar technology to perceive in real time the dynamic characteristics of objects in the environment around the vehicle (such as within a range of 0-100 meters around the vehicle), such as the distance, speed, and angle between the vehicle and the object, providing the vehicle with 360-degree environmental perception capabilities.

[0083] The user-defined danger module 3103 allows users to customize some specific dangerous scenarios or dangerous behaviors according to their own needs and preferences. The system will determine whether to trigger an alarm or other safety measures based on these customized danger rules.

[0084] The vehicle-side processing module 3102, serving as the core processing unit, receives data from the millimeter-wave radar perception module 3101, the user-defined hazard module 3103, and the drone 30, performing multimodal data fusion (e.g., integrating image and radar data) and analysis. Using built-in algorithms (e.g., target recognition and threat assessment), it determines whether a hazard exists and outputs decision instructions to implement appropriate protective measures.

[0085] The vehicle display module 3104 displays the intrusion target status on the vehicle's central control screen or other devices in an intuitive manner, allowing the driver to understand the vehicle's surrounding environment, system status and other important information in real time.

[0086] Alarm module 3105 triggers an alarm when the vehicle-side processing module determines a danger exists. It supports multiple alarm modes, such as light warnings, voice warnings, and local buzzer alarms, to alert campers to dangerous targets and remind them to pay attention to safety.

[0087] In some embodiments, the system also includes a mobile remote module that enables interaction between the user's mobile phone, the vehicle, and the server via a network connection. Users can remotely view real-time images of the camping area, receive alarm information, remotely control drone operations, and adjust hazard assessment parameters, meeting remote security needs when the user is not on site.

[0088] Exemplary devices

[0089] The present disclosure provides a vehicle camping security device. For specific implementations, please refer to the relevant descriptions of the method embodiments. The vehicle camping security device may be provided in a main controller of a vehicle. The device mainly includes:

[0090] an acquisition module, configured to acquire real-time monitoring data of a camping area where a vehicle is located, wherein the real-time monitoring data includes data collected by the drone and the vehicle respectively in real time on the camping area;

[0091] A processing module, configured to obtain dynamic features of target objects in the camping area based on real-time monitoring data of the camping area;

[0092] The protection module is used to initiate protection measures when a risk is identified based on the dynamic characteristics of the target object.

[0093] Exemplary electronic devices

[0094] Figure 4 A block diagram of an electronic device provided in an embodiment of the present disclosure.

[0095] Reference Figure 4 An embodiment of the present disclosure provides an electronic device, which includes: at least one processor 401; at least one memory 402, and one or more I / O interfaces 403, connected between the processor 401 and the memory 402; wherein the memory 402 stores one or more computer programs that can be executed by the at least one processor 401, and the one or more computer programs are executed by the at least one processor 401 to enable the at least one processor 401 to perform the above-mentioned vehicle camping security method.

[0096] Each module in the above-mentioned electronic device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0097] Example Vehicle

[0098] The present disclosure provides a vehicle configured to implement the vehicle camping security method described above. The method may be embedded in the vehicle's main controller in the form of a software program.

[0099] Exemplary computer program products and storage media

[0100] The embodiments of the present disclosure further provide a computer program product, including a computer program, which implements the above-mentioned vehicle camping security method when executed in a processor.

[0101] The computer program may be stored in a readable storage medium of a computer device or in the cloud; the processor of the computer device reads the computer program from the readable storage medium or the cloud.

[0102] The computer program product may be implemented in hardware, software, or a combination thereof. In one embodiment, the computer program product is implemented as a computer storage medium. In another embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0103] It will be understood by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In a hardware implementation, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable storage medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium).

[0104] As is well known to those skilled in the art, the term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information (such as computer-readable program instructions, data structures, program modules or other data). Computer storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technology, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those skilled in the art, communication media typically contains computer-readable program instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0105] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions to be stored in the computer-readable storage medium in each computing / processing device.

[0106] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, and conventional procedural programming languages such as "C" language or similar programming languages. Computer-readable program instructions may be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, 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 via 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., utilizing an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of the computer-readable program instructions. The electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0107] The computer program product described herein may be implemented in hardware, software, or a combination thereof. In one embodiment, the computer program product is implemented as a computer storage medium. In another embodiment, the computer program product is implemented as a software product, such as a software development kit (SDK).

[0108] Various aspects of the present disclosure are described herein with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer-readable program instructions.

[0109] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device is generated that implements the functions / actions specified in one or more blocks in the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, where these instructions cause the computer, programmable data processing device, and / or other device to operate in a specific manner. Thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing various aspects of the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0110] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

[0111] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and the part of the module, program segment or instruction contains one or more executable instructions for realizing the prescribed logical function. 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 consecutive boxes 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 by a dedicated hardware-based system that performs the prescribed function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0112] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, etc. made within the spirit and principles of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A vehicle camping security method, characterized in that: include: Acquiring real-time monitoring data of a camping area where the vehicle is located, wherein the real-time monitoring data includes data collected by the drone and the vehicle respectively in real time on the camping area; acquiring dynamic characteristics of target objects within the camping area based on real-time monitoring data of the camping area; When a risk is identified based on the dynamic characteristics of the target object, protective measures are initiated.

2. The method according to claim 1, characterized in that The real-time monitoring data includes drone monitoring data and vehicle monitoring data; The obtaining of real-time monitoring data of the camping area where the vehicle is located includes: Obtaining a danger monitoring zone and a safe activity zone in the camping area where the vehicle is located; Controlling the drone to monitor the dangerous monitoring area and the safe activity area in real time, and obtaining drone monitoring data of the dangerous monitoring area and the safe activity area provided by the drone; Controlling the sensor of the vehicle to monitor the safe activity zone in real time or to monitor the safe activity zone and the dangerous monitoring zone in real time to obtain the vehicle monitoring data; The real-time monitoring data is obtained based on the drone monitoring data and the vehicle monitoring data.

3. The method according to claim 2, characterized in that The obtaining of the dangerous monitoring area and the safe activity area in the camping area where the vehicle is located includes: In response to an operation of demarcating a non-monitored area of the camping area where the vehicle is located, determining a boundary of the non-monitored area of the camping area; Based on the boundary of the non-monitoring area, the area in the camping area except the non-monitoring area is divided to obtain a dangerous monitoring area and a safe activity area.

4. The method according to claim 2, characterized in that The acquiring, based on the real-time monitoring data of the camping area, dynamic features of target objects in the camping area includes: identifying suspicious target objects in the danger monitoring zone according to real-time monitoring data of the danger monitoring zone in the camping area, and obtaining dynamic features of the suspicious target objects; wherein the dynamic features of the suspicious target objects are used to describe the movement trajectory of the suspicious target objects; According to the real-time monitoring data of the safe activity zone in the camping area, the protected target object in the safe activity zone is identified, and the dynamic characteristics of the protected target object are obtained; wherein the dynamic characteristics of the protected target object are used to describe the movement trajectory of the protected target object.

5. The method according to claim 4, characterized in that When a risk is identified based on the dynamic characteristics of the target object, initiating protection measures includes: When it is determined based on the dynamic characteristics of the suspicious target object that the suspicious target object is close to the vehicle and the distance between the suspicious target object and the target vehicle is less than a distance threshold, an intrusion risk is identified and a protection measure is initiated according to a first protection strategy; The first protection strategy includes at least one of the following: Controlling the drone to approach the suspicious target object, drive it away using voice, locate the position of the suspicious target object, and obtain a video or image of the suspicious target object; The vehicle is controlled to sound an alarm, and an intrusion video of the suspicious target object is recorded, and the intrusion video is pushed to the vehicle for display or pushed to a target terminal for display.

6. The method according to claim 4, characterized in that When a risk is identified based on the dynamic characteristics of the target object, initiating protection measures includes: According to the dynamic characteristics of the protected target object, determining that the protected target object is showing a trend of leaving the safe activity zone or is moving abnormally, identifying an abnormal risk, and initiating protection measures according to the second protection strategy; The second protection strategy includes at least one of the following: Controlling the vehicle to honk in a specified manner; Sending an alarm message to the vehicle or target terminal, wherein the alarm message includes the location of the protected dynamic object and a video clip in which the protected target object is detected to be at risk.

7. The method according to claim 5, characterized in that After initiating the protection measure according to the first protection strategy, the method further includes: The drone is controlled to perform an enhanced expulsion operation; wherein the enhanced expulsion operation includes at least one of the following: releasing expulsion smoke toward the suspicious target object, illuminating the suspicious target object with strong light.

8. The method according to claim 4, characterized in that The step of identifying suspicious target objects in the dangerous monitoring area according to the real-time monitoring data of the dangerous monitoring area in the camping area includes: Obtaining a pre-configured whitelist, wherein the whitelist includes feature description information of protected target objects that are allowed to enter the safe activity zone; Acquiring feature description information of each target object in the danger monitoring zone according to real-time monitoring data of the danger monitoring zone in the camping area; According to the feature description information of the target object and the feature description information of the protected object, a target object that does not belong to the whitelist is identified as a suspicious target object.

9. A vehicle camping security system, characterized in that: including drones and vehicles; The drone is used to collect data in real time about the camping area where the vehicle is located; The vehicle is used to collect data of the camping area where the vehicle is located in real time, and to obtain real-time monitoring data of the camping area where the vehicle is located in combination with the data collected in real time by the drone; and to obtain dynamic characteristics of target objects in the camping area based on the real-time monitoring data of the camping area; When a risk is identified based on the dynamic characteristics of the target object, protective measures are initiated.

10. The system according to claim 9, characterized in that The system further includes a server; The server is used to store the real-time monitoring data and the protection measures.

11. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores at least one computer program executable by the at least one processor, and the at least one computer program is executed by the at least one processor to enable the at least one processor to perform the vehicle camping security method according to any one of claims 1 to 8.

12. A vehicle, characterized in that: The vehicle is configured to implement the vehicle camping security method according to any one of claims 1 to 8.

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