Method for quickly checking parking space state through unmanned aerial vehicle

Abstract

The invention discloses a method for quickly checking a parking space state through an unmanned aerial vehicle, and relates to the technical field of intelligent parking space managers, and the method comprises the steps: building distance communication with the unmanned aerial vehicle through network communication; detecting a vehicle parking state by using an intelligent parking manager detection mechanism, and controlling the unmanned aerial vehicle to shoot an image of a parking space area through a vertically downward camera; whether the parking manager detection mechanism is accurately located between front and rear wheels of the vehicle is judged, and a return instruction is sent to the unmanned aerial vehicle. The system effectively solves the problems that traditional manual inspection is slow in response, high in cost, limited in coverage and restricted by weather and illumination conditions, guarantees the safety, reliability and autonomy of the whole inspection process, and improves the automation level, judgment accuracy and operation efficiency of an intelligent parking system.

Description

Technical Field

[0001] This invention relates to the field of intelligent parking space management technology, and in particular to a method for quickly viewing parking space status using a drone. Background Technology

[0002] With the accelerating pace of urbanization and the continuous increase in the number of motor vehicles, parking difficulties and management challenges have become prominent problems in traffic governance in major cities. Smart parking systems, as an important means of alleviating this problem, have been widely applied and rapidly developed in recent years. Various intelligent parking space managers based on IoT and AI technologies have been deployed on a large scale in roadside parking spaces to achieve automatic perception and billing management of vehicle parking status. However, given the diversity and irregularity of drivers' parking behaviors, relying solely on the judgment capabilities of fixed sensors is no longer sufficient to meet the demands for high-precision and high-efficiency management. Society's need for smarter and more flexible parking space inspection methods is becoming increasingly urgent.

[0003] In existing technologies, intelligent parking space managers typically rely on sensors such as geomagnetic sensors, infrared sensors, or cameras to determine whether a vehicle is parked in a parking space and use algorithms to identify whether the vehicle is parked correctly. However, when abnormal situations occur, such as vehicles parking across spaces, angled parking, or the parking space manager not being positioned between the front and rear wheels, the system can often only identify the abnormal status but cannot accurately determine the specific cause. It still requires manual on-site verification. This manual inspection method is slow to respond, costly, and has limited coverage. Moreover, its efficiency is further reduced under adverse weather or nighttime conditions, which seriously restricts the automation level and operational efficiency of intelligent parking systems. Summary of the Invention

[0004] In view of the problems existing in the methods of quickly checking parking space status using drones, this invention is proposed.

[0005] Therefore, the problem to be solved by this invention is: when the intelligent parking space manager cannot accurately determine whether a vehicle is positioned between its front and rear wheels due to improper parking, how can the parking space status be automatically, quickly, and accurately verified by drones to replace inefficient manual inspections?

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, embodiments of the present invention provide a method for quickly viewing parking space status using a drone, comprising: deploying a drone parking platform on the road section to be inspected; the drone parking platform supporting a system for quickly viewing parking space status using a drone; and establishing distance communication with the drone via network communication.

[0008] The drone-based system for quickly viewing parking space status includes an intelligent parking space manager detection mechanism. This mechanism detects the parking status of vehicles and then sends the results to the corresponding drone parking platform.

[0009] The drone takeoff process is scheduled using a drone landing platform, which guides the drone to a preset height directly above the corresponding road section and controls the drone to take pictures of the parking area through a vertically downward camera.

[0010] The drone transmits the images of the parking spaces it captures back to the drone parking platform to the drone quick parking status viewing system. The AI ​​image recognition algorithm is used to analyze the parking space images to determine whether the parking space manager detection mechanism is accurately located between the front and rear wheels of the vehicle, thereby completing the judgment on whether the parking status is compliant.

[0011] After completing the image transmission of the parking space and the compliance judgment of the parking status, the drone quickly checks the parking space status. The system sends a return command to the drone, and the drone automatically returns to the original drone parking platform to complete an inspection task.

[0012] As a preferred embodiment of the method for quickly viewing parking space status via drone as described in this invention, the drone deployment platform includes an integrated structural design and an integrated dual-mode communication unit. The dual-mode communication unit includes a distance communication module and a distance wireless communication module.

[0013] The communication module is used to establish a remote data connection with the drone-based parking space status viewing system, receive inspection task instructions issued by the drone-based parking space status viewing system, and upload the task execution status of the inspection task instructions.

[0014] The distance wireless communication module is used to complete identity authentication and flight process parameter synchronization before the UAV takes off using a communication protocol, and to control the UAV's flight trajectory link during flight.

[0015] The drone parking platform also includes a built-in edge monitoring unit to monitor the scheduling logic during the flight trajectory process.

[0016] As a preferred embodiment of the method for quickly viewing parking space status using a drone as described in this invention, the intelligent parking space manager detection mechanism includes receiving the deployment of parking spaces on each roadside monitored during the drone's flight trajectory link, obtaining sensor data uploaded by the intelligent parking space manager based on the deployment of parking spaces on each roadside, utilizing the drone to quickly view parking space status system, and performing multi-dimensional analysis of the sensor data based on AI judgment logic.

[0017] The sensor data refers to the data of the front and rear wheels of the vehicle, the length of the vehicle, the location of the parking manager in front of the front wheels or behind the rear wheels, and the identification of abnormal parking status of the vehicle.

[0018] When a parking manager signal is detected in front of the front wheels or behind the rear wheels, and the vehicle outline covers the adjacent parking space, it is determined to be an abnormal parking state.

[0019] When the intelligent parking space manager detection mechanism confirms that a parking space is in an abnormal parking state and the parking space where the vehicle is located cannot be determined by sensor data, the system automatically generates an inspection task package containing the parking space by using a drone to quickly check the parking space status according to the drone's flight trajectory link.

[0020] The process of sending the detected vehicle parking status results to the corresponding road segment's drone parking platform includes sending the inspection task package to the drone parking platform bound to the road segment to which the parking space belongs via network communication. During the sending process, the drone quickly checks the parking space status, and the system simultaneously verifies the execution capability status of the drone parking platform.

[0021] The task is pushed out only when the drone parking platform is ready to execute, avoiding invalid scheduling in the flight trajectory link process. The inspection task package adopts an encrypted transmission protocol.

[0022] As a preferred embodiment of the method for quickly checking parking space status using a drone as described in this invention, the process of scheduling drone takeoff using a drone parking platform includes the drone parking platform receiving an inspection task package, parsing the target parking space number and geographical coordinates in the inspection task package, and combining the map data positioning guidance module to generate a flight trajectory link from the current position of the drone parking platform to directly above the target parking space. The drone flies within the road height restriction range throughout the flight trajectory link, avoiding known obstacles.

[0023] The preset height at which the drone is guided to fly directly above the corresponding road segment includes the drone landing platform sending take-off commands and flight parameters to the drone it carries via a distance wireless communication module. The drone then autonomously takes off vertically according to the flight commands and parameters, flies along the planned flight path link, and automatically hovers after arriving directly above the target parking space.

[0024] The process of capturing images of the parking space area includes the drone activating its vertically downward camera in automatic hovering mode, starting the image acquisition program, and capturing full coverage images of the target parking space and its adjacent parking space area from a fixed overhead angle. During the shooting process, the camera automatically adjusts the exposure parameters according to the ambient light intensity and enables the image stabilization mechanism to avoid blurring of the image due to external vibrations.

[0025] As a preferred embodiment of the method for quickly viewing parking space status using a drone according to the present invention, the drone transmits the captured parking space images back to the drone rapid parking space status viewing system via the drone parking platform. This includes the drone transmitting the acquired image data to the drone parking platform via a distance wireless communication module after completing the image capture of the parking space area. The image data is transmitted in the flight trajectory link using a block compression verification encoding method.

[0026] After receiving image data, the drone parking platform uses an integrated distance wireless communication module to upload the image data to the drone's quick parking space status viewing system via network communication.

[0027] During the upload process, the drone quickly checks the parking space status, the system verifies the integrity of the image data, and decrypts and restores the original image content according to the encrypted transmission protocol.

[0028] As a preferred embodiment of the method for quickly viewing parking space status using a drone as described in this invention, the step of analyzing parking space images using an AI image recognition algorithm includes the drone quickly viewing parking space status system calling the AI ​​image recognition algorithm to perform multi-stage processing on the image data, identifying the overall outline of the vehicle and the tire position in the image data through the target detection module, and extracting the center coordinates of the front and rear wheels.

[0029] By combining the intelligent parking manager identifier marked in the image data, the pixel coordinates of the intelligent parking manager identifier are located. Based on the spatial geometric relationship of the pixel coordinates, the relative position between the parking manager and the front and rear wheels is obtained, and it is determined whether the parking manager detection mechanism is accurately located between the front and rear wheels of the vehicle.

[0030] The process of determining whether the parking space manager detection mechanism is accurately positioned between the front and rear wheels of the vehicle includes the following steps:

[0031] If the determination result is that the parking space manager is in front of the front wheels or behind the rear wheels, the drone quick parking space status system confirms that the parking space has an abnormal parking status, cross-compares the judgment result of the parking space with the original sensor data, forms a parking status compliance conclusion, stores it in the drone quick parking space status system database, and updates the parking space status record synchronously.

[0032] As a preferred embodiment of the method for quickly checking parking space status using a drone as described in this invention, the step of sending a return-to-home command to the drone includes sending the return-to-home command to the drone parking platform bound to the inspection task package via network communication. Upon receiving the return-to-home command, the command is forwarded to the drone currently in task execution state via the built-in distance wireless communication module, and a landing guidance signal is activated to prepare for the return-to-home.

[0033] During the return journey, the drone continuously maintains flight trajectory link communication with the drone landing platform through the distance wireless communication module, uploads its position status, and dynamically corrects its flight attitude based on the landing guidance signals fed back by the drone landing platform.

[0034] When the drone reaches the preset altitude directly above the original drone parking platform, it activates the vertical descent procedure, completes the alignment and landing based on the positioning guidance module signal provided by the original drone parking platform, and automatically cuts off power after contacting the original drone parking platform to enter standby charging state, marking the completion of this inspection mission.

[0035] Secondly, embodiments of the present invention provide a system for quickly viewing parking space status via drones, comprising: a parking platform deployment and communication module, which deploys a drone parking platform on the road section to be inspected, the drone parking platform supports the system for quickly viewing parking space status via drones, and establishes distance communication with the drones through network communication;

[0036] The anomaly detection and task assignment module has an intelligent parking manager detection mechanism in the drone rapid parking status viewing system. The intelligent parking manager detection mechanism is used to detect the vehicle parking status, and the drone rapid parking status viewing system sends the detected vehicle parking status results to the drone parking platform of the corresponding road section.

[0037] The drone scheduling and image acquisition module uses the drone parking platform to schedule the drone take-off process, guide the drone to fly to a preset height directly above the corresponding road section, and control the drone to take images of the parking area through a vertically downward camera.

[0038] The image transmission and AI analysis module uses a drone to transmit the images of parking spaces it captures to a drone parking platform and then to a drone-based system for quickly viewing parking space status. The system uses AI image recognition algorithms to analyze the parking space images and determine whether the parking space manager's detection mechanism is accurately positioned between the front and rear wheels of the vehicle, thereby completing the judgment on whether the parking status is compliant.

[0039] The return-to-home control and mission closed-loop module, including its image transmission and AI analysis module, after completing the image transmission of the parking space and the compliance judgment of the parking status, allows the drone to quickly check the parking space status. The system then sends a return-to-home command to the drone, which automatically returns to its original drone parking platform to complete one inspection mission.

[0040] Thirdly, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement any step of the above-described method for quickly viewing parking space status via a drone.

[0041] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the above-described method for quickly viewing parking space status via a drone.

[0042] The beneficial effects of this invention are as follows: By deeply integrating drones with intelligent parking space managers, AI image recognition algorithms, and a dedicated parking platform, this invention constructs a fully automated and highly efficient parking space status verification mechanism. When the system detects an abnormal parking situation that cannot be accurately determined through local sensor data, it can automatically dispatch a nearby drone to fly above the target parking space to take vertical photos and transmit the images back to the backend for precise analysis. This quickly confirms whether the parking space manager is positioned between the front and rear wheels of the vehicle, effectively solving the problems of slow response, high cost, limited coverage, and susceptibility to weather and lighting conditions associated with traditional manual inspections. Simultaneously, through a dual-mode communication architecture, encrypted task transmission, edge scheduling logic, and closed-loop return control, the security, reliability, and autonomy of the entire inspection process are ensured, significantly improving the automation level, accuracy, and operational efficiency of the smart parking system. Attached Figure Description

[0043] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0044] Figure 1 A flowchart illustrating a method for quickly viewing parking space status using a drone, as provided in an embodiment of the present invention.

[0045] Figure 2 This is a system schematic diagram of a method for quickly viewing parking space status using a drone, provided as an embodiment of the present invention.

[0046] Figure 3 This is a schematic diagram of the structure of a medium for a method of quickly viewing parking space status using a drone, as provided in an embodiment of the present invention.

[0047] Figure 4 This is a schematic diagram of a computing device for a method of quickly viewing parking space status using a drone, as provided in an embodiment of the present invention. Detailed Implementation

[0048] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0049] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0050] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0051] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0052] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0053] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0054] Example

[0055] Reference Figure 1 and Figure 2This is the first embodiment of the present invention, which provides a method for quickly viewing parking space status using a drone, including:

[0056] S1: Deploy a drone parking platform on the road section to be inspected. The drone parking platform supports the system of quickly viewing parking space status with drones and establishes distance communication with drones through network communication.

[0057] The deployment of the drone landing platform includes an integrated structural design that integrates a dual-mode communication unit. The dual-mode communication unit includes a distance communication module and a distance wireless communication module.

[0058] The communication module is used to establish a remote data connection with the drone-based parking space status viewing system, receive inspection task instructions issued by the drone-based parking space status viewing system, and upload the task execution status of the inspection task instructions.

[0059] The distance wireless communication module is used to complete identity authentication and flight process parameter synchronization before the drone takes off using a communication protocol, and to control the drone's flight trajectory link during flight;

[0060] The drone parking platform also includes a built-in edge monitoring unit to monitor the scheduling logic during the flight trajectory process.

[0061] Furthermore, the deployed drone parking platform adopts an integrated structural design, combining rainproof, automatic charging, and communication functions into one unit. Its core lies in its built-in dual-mode communication unit. This dual-mode communication unit divides the communication function into two independent but collaborative modules: a communication module and a distance-based wireless communication module. The communication module establishes a remote data connection with the drone's rapid parking space status viewing system via wide-area networks such as 4G, responsible for receiving inspection task instructions from the system and uploading current task status information during task execution, enabling remote monitoring and management of the parking platform from the backend. The distance-based wireless communication module operates within a short range, employing a highly reliable wireless communication protocol. Before drone takeoff, it completes initialization operations such as device authentication and flight parameter synchronization, and continuously transmits control commands and status feedback during drone flight, guiding and adjusting the drone's flight trajectory in real time. In addition, the parking platform is equipped with a built-in edge monitoring unit, capable of real-time monitoring and processing of the scheduling logic in the flight trajectory link locally. Even in the event of a brief network interruption, it can ensure the orderly execution and safe return of drone tasks, thereby improving the stability and autonomous operation capability of the entire system.

[0062] S2: The drone-based rapid parking space status viewing system is equipped with an intelligent parking space manager detection mechanism. This mechanism detects the parking status of vehicles and sends the detected parking status results to the corresponding drone parking platform.

[0063] The intelligent parking space manager detection mechanism includes receiving data on the deployment of parking spaces on each roadside as monitored during the flight trajectory of the drone; acquiring sensor data uploaded by the intelligent parking space manager based on the deployment of parking spaces on each roadside; using the drone to quickly view the parking space status system; and performing multi-dimensional analysis of the sensor data based on AI judgment logic.

[0064] Sensor data refers to the data of the front and rear wheels of a vehicle, which is used to determine the length of the vehicle, determine whether the parking manager is in front of the front wheels or behind the rear wheels, and identify abnormal parking conditions of the vehicle.

[0065] When a parking manager signal is detected in front of the front wheels or behind the rear wheels, and the vehicle outline covers the adjacent parking space, it is determined to be an abnormal parking state.

[0066] When the intelligent parking space manager detection mechanism confirms that a parking space is in an abnormal parking state and the parking space where the vehicle is located cannot be determined by sensor data, the system automatically generates an inspection task package containing the parking space by using a drone to quickly check the parking space status according to the drone's flight trajectory link.

[0067] The system sends the detected vehicle parking status results to the corresponding road segment's drone parking platform, including sending the inspection task package to the drone parking platform bound to the road segment to which the parking space belongs via network communication. During the sending process, the system simultaneously verifies the execution capability status of the drone parking platform while the drone quickly checks the parking space status.

[0068] Tasks are only pushed out when the drone parking platform is ready to execute, avoiding invalid scheduling during the flight trajectory link process. The inspection task package uses an encrypted transmission protocol.

[0069] Furthermore, the intelligent parking space manager detection mechanism operates within the drone-based rapid parking space status monitoring system. It first receives real-time sensor data uploaded from intelligent parking space managers deployed on each roadside, including vehicle passing signals collected by sensors such as geomagnetic and infrared sensors. Based on preset AI judgment logic, the system performs multi-dimensional analysis of the sensor data, focusing on extracting the time points and signal characteristics of the vehicle's front and rear wheels passing the parking space manager. This allows the system to infer the vehicle's actual length and parking position, and further determine whether the parking space manager is located in front of the front wheels or behind the rear wheels. When the analysis indicates that the parking space manager is in a non-standard position (i.e., not between the front and rear wheels), and the vehicle's outline covers two or more adjacent parking spaces, the system identifies this as an "abnormal parking state." If the sensor data alone cannot accurately determine the specific parking space number occupied by the vehicle, the system will trigger a drone verification process: automatically generating an inspection task package containing the target parking space number, geographical coordinates, and anomaly type, and then sending this task package via network communication to the drone landing platform bound to the road segment to which the parking space belongs. During the distribution process, the system will simultaneously verify the execution capability status of the target shutdown platform, including its online status, remaining power, and current task load. Only when the platform is confirmed to have the execution capability will the task be officially pushed to avoid invalid scheduling. At the same time, the entire inspection task package is sent using an encrypted transmission protocol to ensure the security and integrity of instructions and data during transmission.

[0070] S3: Utilize the drone landing platform to schedule the drone takeoff process, guide the drone to a preset height directly above the corresponding road segment, and control the drone to take images of the parking area through a vertically downward camera.

[0071] The process of scheduling drone takeoff using a drone parking platform includes the drone parking platform receiving an inspection task package, parsing the target parking space number and geographical coordinates in the inspection task package, and combining the map data positioning guidance module to generate a flight trajectory link from the current position of the drone parking platform to directly above the target parking space. The drone flies within the road height restriction range throughout the flight trajectory link, avoiding known obstacles.

[0072] The process of guiding the drone to a preset height directly above the corresponding road segment includes the drone landing platform sending take-off commands and flight parameters to the drone via a distance wireless communication module. The drone then autonomously takes off vertically according to the flight commands and parameters, flies along the planned flight path, and automatically hovers directly above the target parking space.

[0073] Capturing images of the parking area involves the drone activating its vertically downward camera while in automatic hover mode, initiating an image acquisition program, and capturing a full-coverage image of the target parking space and its adjacent areas from a fixed overhead perspective. During the capture process, the camera automatically adjusts the exposure parameters based on the ambient light intensity and enables an image stabilization mechanism to prevent blurry images caused by external vibrations.

[0074] Furthermore, the process of scheduling drone takeoff using a drone parking platform specifically includes: when the drone parking platform receives an inspection task package from the drone's rapid parking space status viewing system, it first parses the target parking space number and precise geographic coordinates contained therein. Combining this with its built-in high-precision map data and positioning guidance module, it automatically plans a flight path link from the parking platform's current location to directly above the target parking space. This trajectory link is strictly limited to the height restrictions stipulated by the road and actively avoids known fixed obstacles (such as streetlights, traffic sign poles, or trees) to ensure flight safety. Subsequently, the parking platform sends control information containing takeoff commands, target coordinates, preset hovering altitude, and flight speed parameters to the drone it carries via its distance wireless communication module. Upon receiving the commands, the drone autonomously completes vertical takeoff and flies smoothly along the planned flight path link, automatically entering a hovering state upon reaching directly above the target parking space. While hovering, the drone immediately activates its vertically downward high-definition camera and starts the image acquisition program to capture a full, unobstructed view of the target parking space and its adjacent areas from a fixed overhead angle. During the capture process, the camera senses the ambient light intensity in real time, dynamically adjusts imaging parameters such as exposure and white balance, and simultaneously activates an image stabilization mechanism to effectively suppress image blur caused by wind or motor vibration, thereby ensuring that the acquired images are clear and complete, providing a high-quality data foundation for subsequent AI analysis.

[0075] S4: The drone transmits the images of the parking spaces it captures back to the drone parking platform to the drone quick parking status viewing system. The AI ​​image recognition algorithm is used to analyze the parking space images and determine whether the parking space manager detection mechanism is accurately located between the front and rear wheels of the vehicle, thereby completing the judgment on whether the parking status is compliant.

[0076] The process involves the drone transmitting the captured images of parking spaces back to the drone parking platform to quickly view the parking space status system. This includes the drone transmitting the acquired image data to the drone parking platform via a distance wireless communication module after capturing images of the parking space area. The image data is transmitted in a block-compression and verification encoding manner along the flight trajectory link.

[0077] After receiving image data, the drone parking platform uses an integrated distance wireless communication module to upload the image data to the drone's quick parking space status viewing system via network communication.

[0078] During the upload process, the drone quickly checks the parking space status, the system verifies the integrity of the image data, and decrypts and restores the original image content according to the encrypted transmission protocol.

[0079] S4.1: Utilize AI image recognition algorithms to analyze parking space images, including drones for quick parking space status checks. The system calls AI image recognition algorithms to perform multi-stage processing on image data, and uses the target detection module to identify the overall vehicle outline and tire position in the image data, extracting the center coordinates of the front and rear wheels.

[0080] By combining the intelligent parking manager identifier marked in the image data, the pixel coordinates of the intelligent parking manager identifier are located. Based on the spatial geometric relationship of the pixel coordinates, the relative position between the parking manager and the front and rear wheels is obtained, and it is determined whether the parking manager detection mechanism is accurately located between the front and rear wheels of the vehicle.

[0081] Determining whether the parking space manager's detection mechanism is accurately positioned between the front and rear wheels of the vehicle involves the following steps:

[0082] If the determination result is that the parking space manager is in front of the front wheels or behind the rear wheels, the drone quick parking space status system confirms that the parking space has an abnormal parking status, cross-compares the judgment result of the parking space with the original sensor data, forms a parking status compliance conclusion, stores it in the drone quick parking space status system database, and updates the parking space status record synchronously.

[0083] Furthermore, the process of analyzing parking space images using AI image recognition algorithms specifically includes: After receiving the original image, which has been verified for integrity and decrypted, the drone-based rapid parking space status viewing system calls a pre-trained AI image recognition algorithm to perform multi-stage processing on the image. First, the target detection module accurately identifies the overall outline of the vehicle and the tire area in the image, and further locates the center positions of the front and rear wheels, extracting their corresponding pixel coordinates; then, the system combines the pre-annotated or identifiable physical identifiers of the smart parking space manager in the image (such as specific colors, shapes, or embedded QR codes) to determine the pixel coordinates of the parking space manager in the image; based on this, and based on the spatial geometric relationship between the center coordinates of the front and rear wheels and the coordinates of the parking space manager, it calculates and determines whether the parking space manager is actually located between the front and rear wheels of the vehicle. If the analysis results indicate that the parking space manager is located in front of the front wheels or behind the rear wheels, the system determines that the parking space is in an abnormal parking state. At this time, the system cross-compares the visual analysis conclusion with the original sensor data previously uploaded by the intelligent parking space manager, combines the information from both to form a final judgment on the compliance of the parking status, and stores the conclusion in a structured manner in the database of the drone-based parking space status viewing system. At the same time, the system updates the status record of the corresponding parking space in real time, providing an accurate basis for subsequent billing, alarms, or management decisions.

[0084] For each tire's bounding box, its corresponding center point coordinates It can be calculated using the following formula:

[0085]

[0086]

[0087] The x-coordinate of the tire's center point. The ordinate represents the center point of the tire. This represents the x-coordinate of the top-left corner of the bounding box. Indicates the width of the bounding box. This represents the y-coordinate of the top-left corner of the bounding box. Indicates the height of the bounding box.

[0088] S5: After completing the image transmission of the parking space and the compliance judgment of the parking status, the drone quickly checks the parking space status. The system sends a return command to the drone, and the drone automatically returns to the original drone parking platform to complete an inspection task.

[0089] Sending a return-to-home command to the drone includes sending the command to the drone parking platform bound to the inspection task package via network communication. Upon receiving the command, the command is forwarded to the drone currently executing the task via the built-in distance wireless communication module, and a landing guidance signal is activated to prepare for the return.

[0090] During the return journey, the drone continuously maintains flight trajectory link communication with the drone landing platform through the distance wireless communication module, uploads its position status, and dynamically corrects its flight attitude based on the landing guidance signals fed back by the drone landing platform.

[0091] When the drone reaches the preset altitude directly above the original drone parking platform, it activates the vertical descent procedure, completes the alignment and landing based on the positioning guidance module signal provided by the original drone parking platform, and automatically cuts off power after contacting the original drone parking platform to enter standby charging state, marking the completion of this inspection mission.

[0092] Furthermore, the process of sending a return-to-home command to the drone specifically includes the following steps: After the drone quickly checks the parking space status, the system analyzes the parking space image and generates a parking status compliance conclusion. The system then uses 4G or other network communication methods to send a return-to-home command containing the target address and safety parameters to the drone parking platform bound to the inspection task package. Upon receiving the return-to-home command, the parking platform immediately forwards the command precisely to the drone currently performing the task via its built-in range wireless communication module. Simultaneously, it activates landing guidance signals (such as optical beacons or wireless positioning signals) on the platform to prepare for the drone's return and precise landing. During the return flight, the drone continuously maintains a stable flight path link with its parking platform via the range wireless communication module, uploading its position, altitude, and attitude information in real time. The parking platform, based on the received status data and the landing guidance signals, dynamically feeds back correction commands to the drone, guiding it to approach smoothly along a safe path. When the drone flies to the preset hovering height (e.g., 2-3 meters) directly above the original drone landing platform, it automatically switches to vertical landing mode and makes centimeter-level alignment adjustments based on the positioning guidance module signal provided by the landing platform. After confirming alignment, the drone slowly descends until it touches the surface of the landing platform, then automatically cuts off the power system and triggers the charging interface to connect, entering standby charging state, thus completing the entire inspection mission.

[0093] In a preferred embodiment, a system for quickly viewing parking space status using drones includes a parking platform deployment and communication module, which deploys drone parking platforms on the road section to be inspected. The drone parking platforms support communication with the drone-based parking space status viewing system and establish distance communication with the drones via network communication. An anomaly detection and task assignment module is also included, which incorporates an intelligent parking manager detection mechanism within the drone-based parking space status viewing system. This mechanism detects vehicle parking status, and the system sends the detected parking status results to the corresponding drone parking platform. Finally, a drone scheduling and image acquisition module is provided, which uses the drone parking platform to schedule drone takeoff and image acquisition. The process involves guiding the drone to a preset height directly above the corresponding road section, controlling the drone to capture images of the parking space area using a vertically downward camera. The drone then transmits the captured images back to the drone's rapid parking status monitoring system via its docking platform. AI image recognition algorithms analyze the images to determine if the parking space manager's detection mechanism is accurately positioned between the front and rear wheels of the vehicle, thus verifying parking compliance. The return-to-home control and task closed-loop module, along with its image transmission and AI analysis module, sends a return-to-home command to the drone after completing the image transmission and compliance verification. The drone then automatically returns to its original docking platform, completing one inspection task.

[0094] The above-mentioned unit modules can be embedded in the processor of the computer device in hardware form or independent of it, or they 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 the above modules.

[0095] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, memory, a communication interface, a display screen, and an input device connected via a system bus. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The communication interface of the computer device is used for wired or wireless communication with external terminals. Wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen of the computer device may be an LCD screen or an e-ink display screen. The input device of the computer device may be a touch layer covering the display screen, or buttons, a trackball, or a touchpad located on the casing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0096] In summary, this invention deeply integrates drones with intelligent parking space managers, AI image recognition algorithms, and a dedicated parking platform to construct a fully automated and highly efficient parking space status verification mechanism. When the system detects an abnormal vehicle parking situation that cannot be accurately determined through local sensor data, it can automatically dispatch a nearby drone to fly above the target parking space to take vertical photos and transmit the images back to the backend for precise analysis. This quickly confirms whether the parking space manager is positioned between the front and rear wheels of the vehicle, effectively solving the problems of slow response, high cost, limited coverage, and susceptibility to weather and lighting conditions associated with traditional manual inspections. Simultaneously, through a dual-mode communication architecture, encrypted task transmission, edge scheduling logic, and closed-loop return control, the security, reliability, and autonomy of the entire inspection process are ensured, significantly improving the automation level, accuracy, and operational efficiency of the smart parking system.

[0097] Reference Figure 3 and Figure 4 After introducing the method and system of exemplary embodiments of the present invention, the following references are made. Figure 3 A computer-readable storage medium according to exemplary embodiments of the present invention will be described, please refer to... Figure 3The computer-readable storage medium shown is an optical disc 30, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it implements the steps described in the above-described method implementation. For example, a drone parking platform is deployed on the road section to be inspected. The drone parking platform supports communication with the drone rapid parking status viewing system and establishes distance communication with the drone through network communication. The drone rapid parking status viewing system is equipped with an intelligent parking manager detection mechanism, which detects the parking status of vehicles. The drone rapid parking status viewing system sends the detected parking status results to the drone parking platform of the corresponding road section. The human-machine parking platform schedules the drone's takeoff process, guiding it to a preset altitude directly above the corresponding road segment. The drone then uses a vertically downward-facing camera to capture images of the parking area. The drone transmits these images back to the drone's rapid parking status monitoring system. AI image recognition algorithms analyze the images to determine if the parking manager's detection mechanism is accurately positioned between the front and rear wheels of the vehicle, thus verifying parking compliance. After image transmission and compliance verification, the system sends a return-to-home command to the drone, which automatically returns to its original parking platform, completing one inspection task. The specific implementation details of each step are not repeated here.

[0098] It should be noted that examples of computer-readable storage media may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0099] After introducing the methods and media of exemplary embodiments of the present invention, the following references are made. Figure 4 A computational device for adaptive recovery of low-voltage power grid self-healing control according to an exemplary embodiment of the present invention.

[0100] Figure 4 A block diagram is shown of an exemplary computing device 40 suitable for implementing embodiments of the present invention. The computing device 40 may be a computer system or a server. Figure 4 The computing device 40 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0101] like Figure 4As shown, the components of computing device 40 may include, but are not limited to: one or more processors or processing units 401, system memory 402, and bus 403 connecting different system components (including system memory 402 and processing unit 401).

[0102] The computing device 40 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 40, including volatile and non-volatile media, and removable and non-removable media.

[0103] System memory 402 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 4021 and / or cache memory 4022. Computing device 40 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 4023 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 4 (Not shown in the image, usually referred to as "hard drive"). Although not shown in... Figure 4 The diagram illustrates that disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) can be provided. In these cases, each drive can be connected to bus 403 via one or more data media interfaces. System memory 402 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0104] A program / utility 4025 having a set (at least one) of program modules 4024 may be stored, for example, in system memory 402, and such program modules 4024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment. Program modules 4024 typically perform the functions and / or methods described in the embodiments of the present invention.

[0105] The computing device 40 can also communicate with one or more external devices 404 (such as a keyboard, pointing device, display, etc.). This communication can be performed via the input / output (I / O) interface 405. Furthermore, the computing device 40 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 406. Figure 4 As shown, network adapter 406 communicates with other modules of computing device 40 (such as processing unit 401) via bus 403. It should be understood that, although... Figure 4 As not shown, it can be used in conjunction with computing device 40 with other hardware and / or software modules.

[0106] Processing unit 401 executes various functional applications and data processing by running programs stored in system memory 402. For example, it deploys a drone parking platform on the road section to be inspected. The drone parking platform supports communication with the drone rapid parking status viewing system and establishes distance communication with the drone via network communication. The drone rapid parking status viewing system is equipped with an intelligent parking manager detection mechanism to detect vehicle parking status. The drone rapid parking status viewing system sends the detected vehicle parking status results to the drone parking platform on the corresponding road section. The drone parking platform is used to schedule drone take-off and landing. The process involves guiding the drone to a preset height directly above the corresponding road section, controlling the drone to capture images of the parking space area using a vertically downward camera. The drone then transmits the captured images back to the drone's rapid parking status monitoring system via its docking platform. AI image recognition algorithms analyze the images to determine if the parking space manager's detection mechanism is accurately positioned between the front and rear wheels of the vehicle, thus verifying compliance with parking regulations. After completing the image transmission and compliance verification, the system sends a return-to-home command to the drone, which automatically returns to its original docking platform, completing one inspection mission.

[0107] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0108] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interface; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0109] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0110] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0111] If the functionality is implemented as a software functional unit and sold or used as an independent product, it can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0112] Finally, it should be noted that the above embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0113] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0114] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for quickly checking parking space status using a drone, characterized in that: include, Deploy drone parking platforms on road sections awaiting inspection. These platforms support drones to quickly view parking space status and establish distance communication with drones via network communication. The drone-based system for quickly viewing parking space status includes an intelligent parking space manager detection mechanism. This mechanism detects the parking status of vehicles and then sends the results to the corresponding drone parking platform. The drone takeoff process is scheduled using a drone landing platform, which guides the drone to a preset height directly above the corresponding road section and controls the drone to take pictures of the parking area through a vertically downward camera. The drone transmits the images of the parking spaces it captures back to the drone parking platform to the drone quick parking status viewing system. The AI ​​image recognition algorithm is used to analyze the parking space images to determine whether the parking space manager detection mechanism is accurately located between the front and rear wheels of the vehicle, thereby completing the judgment on whether the parking status is compliant. After completing the image transmission of the parking space and the compliance judgment of the parking status, the drone quickly checks the parking space status. The system sends a return command to the drone, and the drone automatically returns to the original drone parking platform to complete an inspection task.

2. The method for quickly viewing parking space status using a drone as described in claim 1, characterized in that: The drone deployment platform adopts an integrated structural design and integrates a dual-mode communication unit. The dual-mode communication unit includes a distance communication module and a distance wireless communication module. The communication module is used to establish a remote data connection with the drone-based parking space status viewing system, receive inspection task instructions issued by the drone-based parking space status viewing system, and upload the task execution status of the inspection task instructions. The distance wireless communication module is used to complete identity authentication and flight process parameter synchronization before the UAV takes off using a communication protocol, and to control the UAV's flight trajectory link during flight. The drone parking platform also includes a built-in edge monitoring unit to monitor the scheduling logic during the flight trajectory process.

3. The method for quickly viewing parking space status using a drone as described in claim 2, characterized in that: The intelligent parking space manager detection mechanism includes receiving the deployment of parking spaces on each roadside as monitored during the flight trajectory link of the drone, obtaining the sensor data uploaded by the intelligent parking space manager based on the deployment of parking spaces on each roadside, using the drone to quickly view the parking space status system, and performing multi-dimensional analysis of the sensor data based on AI judgment logic. The sensor data refers to the data of the front and rear wheels of the vehicle, the length of the vehicle, the location of the parking manager in front of the front wheels or behind the rear wheels, and the identification of abnormal parking status of the vehicle. When a parking manager signal is detected in front of the front wheels or behind the rear wheels, and the vehicle outline covers the adjacent parking space, it is determined to be an abnormal parking state. When the intelligent parking space manager detection mechanism confirms that a parking space is in an abnormal parking state and the parking space where the vehicle is located cannot be determined by sensor data, the system automatically generates an inspection task package containing the parking space by using a drone to quickly check the parking space status according to the drone's flight trajectory link. The process of sending the detected vehicle parking status results to the corresponding road segment's drone parking platform includes sending the inspection task package to the drone parking platform bound to the road segment to which the parking space belongs via network communication. During the sending process, the drone quickly checks the parking space status, and the system simultaneously verifies the execution capability status of the drone parking platform. The task is pushed out only when the drone parking platform is ready to execute, avoiding invalid scheduling in the flight trajectory link process. The inspection task package adopts an encrypted transmission protocol.

4. The method for quickly viewing parking space status using a drone as described in claim 3, characterized in that: The process of scheduling drone takeoff using a drone parking platform includes the drone parking platform receiving an inspection task package, parsing the target parking space number and geographical coordinates in the inspection task package, and combining the map data positioning guidance module to generate a flight trajectory link from the current position of the drone parking platform to directly above the target parking space. The drone flies within the road height restriction range throughout the flight trajectory link, avoiding known obstacles. The preset height at which the drone is guided to fly directly above the corresponding road segment includes the drone landing platform sending take-off commands and flight parameters to the drone it carries via a distance wireless communication module. The drone then autonomously takes off vertically according to the flight commands and parameters, flies along the planned flight path link, and automatically hovers after arriving directly above the target parking space. The process of capturing images of the parking space area includes the drone activating its vertically downward camera in automatic hovering mode, starting the image acquisition program, and capturing full coverage images of the target parking space and its adjacent parking space area from a fixed overhead angle. During the shooting process, the camera automatically adjusts the exposure parameters according to the ambient light intensity and enables the image stabilization mechanism to avoid blurring of the image due to external vibrations.

5. The method for quickly viewing parking space status using a drone as described in claim 4, characterized in that: The drone transmits the captured parking space images back to the drone rapid parking space status viewing system via the drone parking platform. This includes the drone transmitting the acquired image data to the drone parking platform via a distance wireless communication module after capturing images of the parking space area. The image data is transmitted in the flight trajectory link using a block compression and verification encoding method. After receiving image data, the drone parking platform uses an integrated distance wireless communication module to upload the image data to the drone's quick parking space status viewing system via network communication. During the upload process, the drone quickly checks the parking space status, the system verifies the integrity of the image data, and decrypts and restores the original image content according to the encrypted transmission protocol.

6. The method for quickly viewing parking space status using a drone as described in claim 5, characterized in that: The analysis of parking space images using AI image recognition algorithms includes a system for quickly viewing parking space status using drones, which calls AI image recognition algorithms to perform multi-stage processing on image data, and uses a target detection module to identify the overall outline of the vehicle and tire positions in the image data, and extracts the center coordinates of the front and rear wheels. By combining the intelligent parking manager identifier marked in the image data, the pixel coordinates of the intelligent parking manager identifier are located. Based on the spatial geometric relationship of the pixel coordinates, the relative position between the parking manager and the front and rear wheels is obtained, and it is determined whether the parking manager detection mechanism is accurately located between the front and rear wheels of the vehicle. The process of determining whether the parking space manager detection mechanism is accurately positioned between the front and rear wheels of the vehicle includes the following steps: If the determination result is that the parking space manager is in front of the front wheels or behind the rear wheels, the drone quick parking space status system confirms that the parking space has an abnormal parking status, cross-compares the judgment result of the parking space with the original sensor data, forms a parking status compliance conclusion, stores it in the drone quick parking space status system database, and updates the parking space status record synchronously.

7. The method for quickly viewing parking space status using a drone as described in claim 6, characterized in that: Sending the return command to the drone includes sending the return command to the drone parking platform bound to the inspection task package via network communication. Upon receiving the return command, the drone is forwarded to the drone currently executing the task via the built-in distance wireless communication module, and a landing guidance signal is activated to prepare for the return. During the return journey, the drone continuously maintains flight trajectory link communication with the drone landing platform through the distance wireless communication module, uploads its position status, and dynamically corrects its flight attitude based on the landing guidance signals fed back by the drone landing platform. When the drone reaches the preset altitude directly above the original drone parking platform, it activates the vertical descent procedure, completes the alignment and landing based on the positioning guidance module signal provided by the original drone parking platform, and automatically cuts off power after contacting the original drone parking platform to enter standby charging state, marking the completion of this inspection mission.

8. A system for quickly viewing parking space status using a drone, based on the method for quickly viewing parking space status using a drone as described in any one of claims 1 to 7, characterized in that: include, The parking platform deployment and communication module deploys drone parking platforms on the road sections to be inspected. The drone parking platform supports the system for drones to quickly view parking space status and establishes distance communication with drones through network communication. The anomaly detection and task assignment module has an intelligent parking manager detection mechanism in the drone rapid parking status viewing system. The intelligent parking manager detection mechanism is used to detect the vehicle parking status, and the drone rapid parking status viewing system sends the detected vehicle parking status results to the drone parking platform of the corresponding road section. The drone scheduling and image acquisition module uses the drone parking platform to schedule the drone take-off process, guide the drone to fly to a preset height directly above the corresponding road section, and control the drone to take images of the parking area through a vertically downward camera. The image transmission and AI analysis module uses a drone to transmit the images of parking spaces it captures to a drone parking platform and then to a drone-based system for quickly viewing parking space status. The system uses AI image recognition algorithms to analyze the parking space images and determine whether the parking space manager's detection mechanism is accurately positioned between the front and rear wheels of the vehicle, thereby completing the judgment on whether the parking status is compliant. The return-to-home control and mission closed-loop module, including its image transmission and AI analysis module, after completing the image transmission of the parking space and the compliance judgment of the parking status, allows the drone to quickly check the parking space status. The system then sends a return-to-home command to the drone, which automatically returns to its original drone parking platform to complete one inspection mission.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the method for quickly viewing parking space status via drone as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the method for quickly viewing parking space status by drone as described in any one of claims 1 to 7.

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