CN117496755B - Automatic internal route planning method and device, storage medium and computer equipment - Google Patents
Automatic internal route planning method and device, storage medium and computer equipment Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
- G08G1/144—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces on portable or mobile units, e.g. personal digital assistant [PDA]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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- H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
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Abstract
The application provides an automatic internal route planning method, an automatic internal route planning device, a storage medium and computer equipment. The method comprises the following steps: responding to a vehicle searching request sent by a user terminal, and acquiring position information and target vehicle information of a user according to the vehicle searching request; determining a first camera area to which the position of the user belongs according to the position information; determining a target vehicle position and a second camera area to which the target vehicle position belongs based on the target vehicle information; identifying a camera area passing between the position information of the user and the target vehicle position; acquiring first roadway route information associated with a camera area, the first camera area and the second camera area which are routed between the position information of the user and the target vehicle position; planning a vehicle searching route based on the first roadway route information; and sending the vehicle searching route to the user terminal. The method and the device can realize internal route navigation by using the parking lot monitoring system.
Description
Technical Field
The present disclosure relates to the field of indoor navigation technologies, and in particular, to an internal route automatic planning method, an internal route automatic planning device, a storage medium, and a computer device.
Background
With the rapid development of economy, the number of motor vehicles is increasing, so that numerous large markets and communities can build indoor parking lots, including underground parking lots and three-dimensional parking lots. However, with the increase of the duration of the parking space, the scale of the indoor parking lot is increased, so that the terrain of the indoor parking lot is more complex, the roads are staggered, and the problem that a parked vehicle is difficult to find for an owner who is unfamiliar with the route exists.
On the one hand, the indoor parking lot has the condition that GPS signals are poor and GPS navigation positioning cannot be utilized, and on the other hand, even if the GPS signals are not affected, the current technology for realizing indoor high-precision positioning by utilizing satellite navigation is not mature enough, and the realization cost is high. The positioning modes commonly used indoors at present comprise WIFI hot spot positioning, bluetooth beacon positioning, infrared positioning, ultrasonic technology, ultra-wideband technology, inertial navigation and the like, but most of the technologies depend on large-scale hardware deployment, data acquisition and update, periodic maintenance and the like. In addition, for public parking lots, most parking users park temporarily, and the navigation inside the parking lots cannot be realized by configuring corresponding equipment in the vehicles.
Disclosure of Invention
The embodiment of the application provides an automatic internal route planning method, an automatic internal route planning device, a storage medium and computer equipment, which can realize internal route navigation by using a parking lot monitoring system.
In a first aspect, the present application provides an automatic internal route planning method, applied to a parking lot monitoring system, the method including:
responding to a vehicle searching request sent by a user terminal, and acquiring position information and target vehicle information of a user according to the vehicle searching request;
determining a first camera area to which the position of the user belongs according to the position information; the camera areas are monitoring areas corresponding to all cameras in the parking lot monitoring system, and the roadway routes in each camera area are stored in an associated mode with the corresponding cameras;
determining a target vehicle position and a second camera area to which the target vehicle position belongs based on the target vehicle information;
identifying a camera area passing between the position information of the user and the target vehicle position;
acquiring first roadway route information associated with a camera area, the first camera area and the second camera area which are routed between the position information of the user and the target vehicle position;
Planning a vehicle searching route based on the first roadway route information;
and sending the vehicle searching route to the user terminal.
In one embodiment, the method further comprises:
responding to a vehicle searching route updating request initiated by the user terminal, and identifying real-time position information of the user based on the face information of the user;
determining a third camera area according to the real-time position information;
identifying a camera area passing between the real-time position information of the user and the target vehicle position;
acquiring second roadway route information related to a camera area, the second camera area and the third camera area which are passed between the real-time position information of the user and the target vehicle position;
updating the seek route based on the second roadway route information;
and sending the updated vehicle searching route to the user terminal.
In one embodiment, when the user is the user bound to the target vehicle, the step of executing the obtaining the location information and the target vehicle information of the user according to the vehicle searching request includes:
determining a target camera according to the vehicle searching request; the target camera is determined according to a camera number input by a user, and the target camera is a camera visible to the user at the position;
Invoking the target camera to identify the position information of the user in a corresponding monitoring area according to the face information acquired when the target vehicle approaches;
and acquiring the bound target vehicle information according to the face information of the user.
In one embodiment, when the user is not bound to the target vehicle, the step of acquiring the location information and the target vehicle information of the user according to the vehicle finding request includes:
acquiring an environment image of a user according to the vehicle searching request; the environment image of the user is photographed and uploaded for the user;
identifying the position information of the user based on the environment image of the user;
acquiring target vehicle information contained in the vehicle searching request; the target vehicle information is license plate information or parking space information of the target vehicle input by a user;
invoking a camera corresponding to the first camera area to acquire face information of the user based on the position information of the user;
and binding the face information with the target vehicle.
In one embodiment, the method further comprises:
responding to an outbound request sent by a user terminal, and identifying a camera area of a path between the target vehicle position and an outbound position;
Acquiring third road line information associated with a camera area of a path between the target vehicle position and the exit position and the second camera area;
planning a departure route based on the third road line information;
and sending the departure route to the user terminal.
In one embodiment, the method further comprises:
responding to an outgoing route updating request initiated by the user terminal, and determining license plate information of the target vehicle;
calling a camera corresponding to a camera region of a path between the target vehicle position and the exit position to identify a real-time vehicle position of the target vehicle and a fourth camera region to which the real-time vehicle position belongs based on the license plate information;
identifying a camera area routed between the real-time vehicle position and the exit position;
acquiring fourth roadway route information associated with a camera area passing between the real-time vehicle position and the exit position;
updating the departure route based on the fourth roadway route information;
and sending the updated departure route to the user terminal.
In one embodiment, the target vehicle information includes license plate information and/or parking space information of the target vehicle.
In a second aspect, the present application provides an internal route automatic planning device, applied to a parking lot monitoring system, the device comprising:
the first response module is used for responding to a vehicle searching request sent by the user terminal and acquiring the position information and the target vehicle information of the user according to the vehicle searching request;
the first determining module is used for determining a first camera area to which the position of the user belongs according to the position information; the camera areas are monitoring areas corresponding to all cameras in the parking lot monitoring system, and the roadway routes in each camera area are stored in an associated mode with the corresponding cameras;
the second determining module is used for determining a target vehicle position and a second camera area to which the target vehicle position belongs based on the target vehicle information;
the first identification module is used for identifying a camera area passing between the position information of the user and the position of the target vehicle;
the first acquisition module is used for acquiring first roadway route information related to a camera area, the first camera area and the second camera area which are passed between the position information of the user and the target vehicle position;
The first planning module is used for planning a vehicle searching route based on the first roadway route information;
and the first sending module is used for sending the vehicle searching route to the user terminal.
In a third aspect, the present application provides a storage medium having stored therein computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the internal route automatic planning method as described in any of the above.
In a fourth aspect, the present application provides a computer device comprising: one or more processors, and memory;
the memory has stored therein computer readable instructions which, when executed by the one or more processors, perform the steps of any of the internal route automatic planning methods described above.
From the above technical solutions, the embodiments of the present application have the following advantages:
according to the automatic internal route planning method, device, storage medium and computer equipment, each camera in a monitoring system is divided into monitoring areas, the carriage arrival route in each monitoring area is stored in a correlated mode with the corresponding camera, the camera areas are used as positioning references, the position information and target vehicle information of a user are acquired according to a vehicle searching request initiated by the user, the first camera area and the second camera area of the target vehicle position of the user are respectively determined, the camera areas of all paths between the position information of the user and the target vehicle position are identified, the roadway routes respectively associated with the camera areas, the first camera area and the second camera area of the path between the user and the target vehicle position are acquired, and the first roadway route information is used for planning the vehicle searching route from the user position to the target vehicle position and is sent to a user terminal. The navigation system can realize the route planning navigation in the parking lot without adopting a satellite positioning function and configuring any hardware in the vehicle by a user.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic view of an application environment of an automatic internal route planning method according to an embodiment;
FIG. 2 is a flow chart of an internal route auto-planning method, according to one embodiment;
FIG. 3 is a flowchart showing steps for obtaining location information and target vehicle information of a user based on a vehicle seek request, in one embodiment;
FIG. 4 is a flowchart showing steps for acquiring location information and target vehicle information of a user according to a vehicle seeking request according to another embodiment;
FIG. 5 is a block diagram of an internal route auto-planning device according to one embodiment;
FIG. 6 is an internal block diagram of a computer device, in one embodiment;
FIG. 7 is an internal block diagram of a computer device in another embodiment.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
FIG. 1 is a schematic diagram of an application environment of an automatic internal route planning method according to an embodiment. As shown in fig. 1, the application environment includes a parking lot monitoring system 110 and a user terminal 120. The parking lot monitoring system 110 includes a plurality of cameras for performing monitoring and a management device communicatively connected to each of the cameras. Wherein the user terminal 120 is configured to communicate with the parking lot monitoring system 110. The communication mode can be communication by using a mobile data network, can also be communication by using a local area network arranged in a parking lot, or can be communication with a nearby camera through short-distance wireless communication, and is forwarded by the camera.
FIG. 2 is a flow chart of an internal route auto-planning method in one embodiment. The internal route automatic planning method in this embodiment will be described taking as an example a management device operating on the parking lot monitoring system in fig. 1. The automatic internal route planning method comprises the following steps:
Step S201, responding to a vehicle searching request sent by a user terminal, and acquiring the position information and the target vehicle information of the user according to the vehicle searching request.
When a user needs to search for a car, the user communicates with a parking lot monitoring system through a user terminal, a car searching request is sent, and the parking lot monitoring system determines the position information of the current position of the user and the information of a target car to be searched according to the car searching request.
Step S202, determining a first camera area to which the position of the user belongs according to the position information.
The camera areas are monitoring areas corresponding to all cameras in the parking lot monitoring system, and the roadway routes in the camera areas are stored in association with the corresponding cameras.
Through dividing the whole parking area into a plurality of monitoring areas, each monitoring area corresponds to a camera, the road line data of the vehicle in the monitoring areas are stored in association with the cameras, route retrieval is carried out according to the cameras when a route is inquired, the cameras can help to determine the position of a user/vehicle through a visual image technology, and can also position the route data, so that the route data can be rapidly acquired.
Step S203, determining a target vehicle position and a second camera area to which the target vehicle position belongs based on the target vehicle information.
In one embodiment, the target vehicle information includes license plate information and/or parking space information of the target vehicle. If the target vehicle information comprises license plate information, the license plate can be captured by the camera for comparison, and the position of the target vehicle can be identified. If the target vehicle information includes parking space information, namely, the identification of the parking space of the target vehicle, the position of the parking space and the second camera area to which the parking space belongs can be directly inquired in the database.
Step S204, identifying a camera area routed between the position information of the user and the target vehicle position.
The camera area of the pathway refers to all camera areas that will pass between the current location of the user and the location of the target vehicle. Whether the vehicle passes or not is judged according to the road line of the vehicle.
Step S205, acquiring first pavement route information related to a camera area, a first camera area and a second camera area which are passed between the position information of a user and the position of a target vehicle;
and summarizing the acquired roadway line data respectively associated with each related camera area into first roadway line information.
Step S206, a vehicle searching route is planned based on the first roadway route information.
Planning based on the acquired first roadway route according to the shortest route principle, splicing the routes in each camera area to determine a feasible route, and determining the route with the shortest route as a vehicle searching route.
Step S207, the vehicle searching route is sent to the user terminal.
According to the automatic internal route planning method, each camera in the monitoring system is divided into monitoring areas, the carriage arrival route in each monitoring area is stored in association with the corresponding camera, the camera areas are used as positioning references, the position information and the target vehicle information of a user are acquired according to a vehicle searching request initiated by the user, the first camera area and the second camera area of the target vehicle position of the user are respectively determined, the camera areas of all routes between the position information of the user and the target vehicle position are identified, the roadway routes respectively associated with the camera areas, the first camera areas and the second camera areas of the routes between the user and the target vehicle position are acquired, and the first roadway route information is used for planning the vehicle searching route from the user position to the target vehicle position and is sent to the user terminal. The navigation system can realize the route planning navigation in the parking lot without adopting a satellite positioning function and configuring any hardware in the vehicle by a user.
In one embodiment, the internal route automatic planning method further includes:
responding to a vehicle searching route updating request initiated by a user terminal, and identifying real-time position information of a user based on face information of the user;
determining a third camera area according to the real-time position information;
identifying a camera area passing between the real-time position information of the user and the target vehicle position;
acquiring second roadway route information associated with a camera area, a second camera area and a third camera area which are routed between the real-time position information of the user and the target vehicle position;
updating the seek route based on the second roadway route information;
and sending the updated vehicle searching route to the user terminal.
In the embodiment, the vehicle searching route can be updated according to the user request in the vehicle searching process of the user, the face information of the user is captured and identified by the camera, and the real-time position information is determined without satellite positioning. After the real-time position information is determined, determining a third camera area, a camera area passing between the real-time position information and the target vehicle position respectively, acquiring corresponding roadway line data, summarizing the roadway line data into second roadway line information, planning according to a shortest path principle based on the acquired second roadway line, splicing the paths in each camera area to determine a feasible path, and determining a new vehicle searching path from the shortest path.
As shown in fig. 3, in one embodiment, when the user is a user bound to the target vehicle, the step of obtaining the location information of the user and the target vehicle information according to the vehicle searching request includes:
step S301, determining a target camera according to the vehicle searching request.
The target camera is determined according to the camera number input by the user, and the target camera is a camera visible to the user at the position. Each camera has a unique number and is marked nearby the camera, so that a user can see that the camera number is input when the user initiates a vehicle searching request to inform the parking lot of the camera area where or nearby the user of the monitoring system. Because the camera number which is possibly input by the user is another camera area near the camera area where the user is located, the camera area corresponding to the camera number which is input by the user cannot be directly determined as the first camera area, and the corresponding camera needs to be determined first.
Step S302, calling a target camera to identify the position information of the user in the corresponding monitoring area according to the face information acquired when the target vehicle approaches.
Because the target camera is a camera which is visible to the user and is nearby, the recognition range can be directly reduced at the moment, the target camera is directly called to capture the human face, the target camera is compared with the human face information stored in the database, if the user is a user who collects the human face information and binds the vehicle at regular time, the human face data of the user can be obtained from the database, the user is recognized from the captured human face image, and then the position information of the user is positioned.
Step S303, acquiring bound target vehicle information according to the face information of the user.
And after the user is determined by utilizing the face information, acquiring target vehicle information according to the bound target vehicle.
In this embodiment, for a user who binds with a vehicle, the user only needs to input the camera number to locate the position of the user through the parking lot monitoring system, and determine the bound vehicle information.
As shown in fig. 4, in one embodiment, when the user is not bound to the target vehicle, the step of obtaining the location information and the target vehicle information of the user according to the vehicle seeking request includes:
step S401, acquiring an environment image of a user according to a vehicle searching request.
The environment image of the user is photographed and uploaded for the user. I.e. the user needs to upload the environmental image of the location where he or she is taking when initiating a car-seeking request.
Step S402, identifying the position information of the user based on the environment image of the user.
The parking lot monitoring system can identify the characteristics in the image according to the environment image of the user, and determine the current position information of the user.
Step S403, acquiring the target vehicle information contained in the vehicle searching request.
The target vehicle information is license plate information or parking space information of the target vehicle input by a user.
For the situation that the user is not bound with the vehicle, the vehicle to be searched cannot be determined through the user information, so that the user is required to actively provide the target vehicle information, which can be license plate information or parking space information of the target vehicle.
Step S404, calling a camera corresponding to the first camera area to acquire face information of the user based on the position information of the user.
Step S405, binding the face information with the target vehicle.
After the position information of the user is determined, the first camera area can be determined, the range is further narrowed, and the camera corresponding to the first camera area is directly called to collect the binding of the face information of the user and the target vehicle, so that the real-time position of the user can be conveniently positioned when the route is updated subsequently.
In one embodiment, the internal route automatic planning method further includes:
in response to an outbound request sent by a user terminal, identifying a camera area of a path between a target vehicle position and an outbound position;
acquiring third road line information associated with a camera area of a path between the target vehicle position and the exit position and a second camera area;
planning a departure route based on the third road line information;
and sending the departure route to the user terminal.
In this embodiment, when a user needs to drive a car out of a parking lot, the user communicates with a parking lot monitoring system through a user terminal, sends an outbound request, and the parking lot monitoring system determines a target vehicle according to the outbound request, determines a camera area passing between a target vehicle position and an exit position, and is used for acquiring roadway route data between the target vehicle position and the exit position. And meanwhile, respectively acquiring associated vehicle road line data according to the determined path camera areas and the second camera areas where the target vehicle positions are located, summarizing the vehicle road line data into third vehicle road line information, planning according to the principle that the distance is shortest and the vehicles can pass, splicing the routes in each camera area to determine feasible routes, and extracting the routes which meet the principle that the distance is shortest and the vehicles can pass as departure routes.
In one embodiment, the internal route automatic planning method further includes:
responding to an outgoing route updating request initiated by the user terminal, and determining license plate information of the target vehicle;
calling a camera corresponding to a camera region of a path between the target vehicle position and the exit position to identify a real-time vehicle position of the target vehicle and a fourth camera region to which the real-time vehicle position belongs based on the license plate information;
Identifying a camera area routed between the real-time vehicle position and the exit position;
acquiring fourth roadway route information associated with a camera area passing between the real-time vehicle position and the exit position;
updating the departure route based on the fourth roadway route information;
and sending the updated departure route to the user terminal.
In this embodiment, the departure route can be updated according to the user request in the process of driving the vehicle out of the parking lot, the target vehicle is captured and identified by the camera, and the real-time vehicle position of the target vehicle is determined without using satellite positioning. After the real-time vehicle position is determined, the real-time vehicle position, a camera area and a fourth camera area which are respectively passed between the real-time vehicle position and the exit position are respectively obtained, corresponding road line data of the vehicle is collected to form fourth road route information, planning is carried out according to the principle that the distance is shortest and the vehicle can pass through based on the obtained fourth road route, the routes in each camera area are spliced to determine feasible routes, and the route which accords with the principle that the distance is shortest and the vehicle can pass through is determined to be a new departure route.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
The following describes an internal route automatic planning device provided in the embodiments of the present application, and the internal route automatic planning device described below and the internal route automatic planning method described above may be referred to correspondingly.
As shown in fig. 5, the present application provides an internal route automatic planning device 500, applied to a parking lot monitoring system, the device includes:
A first response module 501, configured to respond to a vehicle searching request sent by a user terminal, and obtain location information and target vehicle information of a user according to the vehicle searching request;
a first determining module 502, configured to determine, according to the location information, a first camera area to which a location where a user is located belongs; the camera areas are monitoring areas corresponding to all cameras in the parking lot monitoring system, and the roadway routes in each camera area are stored in an associated mode with the corresponding cameras;
a second determining module 503, configured to determine a target vehicle position and a second camera area to which the target vehicle position belongs based on the target vehicle information;
a first identifying module 504, configured to identify a camera area passing between the location information of the user and the target vehicle location;
a first obtaining module 505, configured to obtain first roadway route information associated with a camera area routed between the position information of the user and the target vehicle position, the first camera area, and the second camera area;
a first planning module 506, configured to plan a vehicle-seeking route based on the first roadway route information;
and the first sending module 507 is configured to send the route to the user terminal.
In one embodiment, the internal route automatic planning apparatus further includes:
the second response module is used for responding to the vehicle searching route updating request initiated by the user terminal and identifying the real-time position information of the user based on the face information of the user;
the third determining module is used for determining a third camera area according to the real-time position information;
the second identification module is used for identifying a camera area passing between the real-time position information of the user and the position of the target vehicle;
the second acquisition module is used for acquiring second roadway route information related to a camera area, the second camera area and the third camera area which are passed between the real-time position information of the user and the target vehicle position;
a first updating module for updating the seek route based on the second roadway route information;
and the second sending module is used for sending the updated vehicle searching route to the user terminal.
In one embodiment, the first response module is configured to perform the following steps when the user is a user to whom the target vehicle is bound:
determining a target camera according to the vehicle searching request; the target camera is determined according to a camera number input by a user, and the target camera is a camera visible to the user at the position;
Invoking the target camera to identify the position information of the user in a corresponding monitoring area according to the face information acquired when the target vehicle approaches;
and acquiring the bound target vehicle information according to the face information of the user.
In one embodiment, the first response module is configured to perform the following steps when the user is not bound to the target vehicle:
acquiring an environment image of a user according to the vehicle searching request; the environment image of the user is photographed and uploaded for the user;
identifying the position information of the user based on the environment image of the user;
acquiring target vehicle information contained in the vehicle searching request; the target vehicle information is license plate information or parking space information of the target vehicle input by a user;
invoking a camera corresponding to the first camera area to acquire face information of the user based on the position information of the user;
and binding the face information with the target vehicle.
In one embodiment, the internal route automatic planning apparatus further includes:
the third response module is used for responding to the outbound request sent by the user terminal and identifying a camera area of a path between the target vehicle position and the exit position;
A third acquisition module for acquiring third road line information associated with a camera area of a path between the target vehicle position and an exit position and the second camera area;
the second planning module is used for planning a departure route based on the third road line information;
and the third sending module is used for sending the departure route to the user terminal.
In one embodiment, the internal route automatic planning apparatus further includes:
a fourth response module, configured to determine license plate information of the target vehicle in response to an outbound route update request initiated by the user terminal;
the third recognition module is used for calling a camera corresponding to a camera region of a path between the target vehicle position and the exit position to recognize a real-time vehicle position of the target vehicle and a fourth camera region to which the real-time vehicle position belongs based on the license plate information;
the fourth identification module is used for identifying a camera area passing between the real-time vehicle position and the exit position;
a fourth acquisition module, configured to acquire fourth roadway route information associated with a camera area routed between the real-time vehicle position and the exit position and a fourth camera area;
A second updating module for updating the departure route based on the fourth roadway route information;
and the fourth sending module is used for sending the updated departure route to the user terminal.
The division of the modules in the automatic internal route planning device is merely for illustration, and in other embodiments, the automatic internal route planning device may be divided into different modules as needed to complete all or part of the functions of the automatic internal route planning device. The modules in the internal route automatic planning device can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, the present application also provides a storage medium having stored therein computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the internal route automatic planning apparatus as described in any of the embodiments above.
In one embodiment, the present application further provides a computer device having computer readable instructions stored therein, which when executed by the one or more processors, perform the steps of the internal route automatic planning apparatus according to any one of the embodiments above.
Illustratively, in one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in FIG. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an internal route auto-planning method.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement an internal route auto-planning method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structures shown in fig. 6 and 7 are block diagrams of only some of the structures associated with the aspects of the present application and are not intended to limit the computer device to which the aspects of the present application may be applied, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or may have a different arrangement of components.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" is at least two, such as two, three, etc., unless explicitly defined otherwise. Also, the term "and/or" as used in this specification includes any and all combinations of the associated listed items.
In the present specification, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and may be combined according to needs, and the same similar parts may be referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An automatic internal route planning method, which is applied to a parking lot monitoring system, comprising:
responding to a vehicle searching request sent by a user terminal, and acquiring position information and target vehicle information of a user according to the vehicle searching request;
determining a first camera area to which the position of the user belongs according to the position information; the camera areas are monitoring areas corresponding to all cameras in the parking lot monitoring system, and the roadway routes in each camera area are stored in an associated mode with the corresponding cameras;
Determining a target vehicle position and a second camera area to which the target vehicle position belongs based on the target vehicle information;
identifying a camera area passing between the position information of the user and the target vehicle position;
acquiring first roadway route information associated with a camera area, the first camera area and the second camera area which are routed between the position information of the user and the target vehicle position;
planning a vehicle searching route based on the first roadway route information;
transmitting the vehicle searching route to the user terminal;
the responding to the vehicle searching request sent by the user terminal, acquiring the position information and the target vehicle information of the user according to the vehicle searching request, comprises the following steps: when the user is a user bound with the target vehicle, determining a target camera according to a camera number input by the user when a vehicle searching request is initiated, wherein the target camera is a camera visible at the position of the user; invoking the target camera to identify the position information of the user in a corresponding monitoring area according to the face information acquired when the target vehicle approaches;
the planning a vehicle-finding route based on the first roadway route information includes: splicing according to the routes in each camera area in the first roadway route information to obtain a feasible route; and determining the route of the shortest route in the feasible routes as the vehicle searching route.
2. The internal route automatic planning method according to claim 1, characterized in that the method further comprises:
responding to a vehicle searching route updating request initiated by the user terminal, and identifying real-time position information of the user based on the face information of the user;
determining a third camera area according to the real-time position information;
identifying a camera area passing between the real-time position information of the user and the target vehicle position;
acquiring second roadway route information related to a camera area, the second camera area and the third camera area which are passed between the real-time position information of the user and the target vehicle position;
updating the seek route based on the second roadway route information;
and sending the updated vehicle searching route to the user terminal.
3. The internal route automatic planning method according to claim 1, wherein when the user is a user bound to the target vehicle, the acquiring the position information of the user and the target vehicle information according to the vehicle-finding request further includes:
and acquiring the bound target vehicle information according to the face information of the user.
4. The automatic internal route planning method according to claim 1, wherein the responding to the vehicle searching request sent by the user terminal, and obtaining the position information and the target vehicle information of the user according to the vehicle searching request, comprises: when the user is not bound with the target vehicle, the following steps are executed:
acquiring an environment image of a user according to the vehicle searching request; the environment image of the user is photographed and uploaded for the user;
identifying the position information of the user based on the environment image of the user;
acquiring target vehicle information contained in the vehicle searching request; the target vehicle information is license plate information or parking space information of the target vehicle input by a user;
invoking a camera corresponding to the first camera area to acquire face information of the user based on the position information of the user;
and binding the face information with the target vehicle.
5. The internal route automatic planning method according to claim 1, characterized in that the method further comprises:
responding to an outbound request sent by a user terminal, and identifying a camera area of a path between the target vehicle position and an outbound position;
acquiring third road line information associated with a camera area of a path between the target vehicle position and the exit position and the second camera area;
Planning a departure route based on the third road line information;
and sending the departure route to the user terminal.
6. The internal route automatic planning method according to claim 5, characterized in that the method further comprises:
responding to an outgoing route updating request initiated by the user terminal, and determining license plate information of the target vehicle;
calling a camera corresponding to a camera region of a path between the target vehicle position and the exit position to identify a real-time vehicle position of the target vehicle and a fourth camera region to which the real-time vehicle position belongs based on the license plate information;
identifying a camera area routed between the real-time vehicle position and the exit position;
acquiring fourth roadway route information associated with a camera area passing between the real-time vehicle position and the exit position;
updating the departure route based on the fourth roadway route information;
and sending the updated departure route to the user terminal.
7. The internal route automatic planning method according to claim 1, wherein the target vehicle information includes license plate information and/or parking space information of the target vehicle.
8. An internal route automatic planning device, characterized in that it is applied to a parking lot monitoring system, said device comprising:
the first response module is used for responding to a vehicle searching request sent by the user terminal and acquiring the position information and the target vehicle information of the user according to the vehicle searching request;
the first determining module is used for determining a first camera area to which the position of the user belongs according to the position information; the camera areas are monitoring areas corresponding to all cameras in the parking lot monitoring system, and the roadway routes in each camera area are stored in an associated mode with the corresponding cameras;
the second determining module is used for determining a target vehicle position and a second camera area to which the target vehicle position belongs based on the target vehicle information;
the first identification module is used for identifying a camera area passing between the position information of the user and the position of the target vehicle;
the first acquisition module is used for acquiring first roadway route information related to a camera area, the first camera area and the second camera area which are passed between the position information of the user and the target vehicle position;
The first planning module is used for planning a vehicle searching route based on the first roadway route information;
the first sending module is used for sending the vehicle searching route to the user terminal;
wherein the first response module is configured to perform the steps of: when the user is a user bound with the target vehicle, determining a target camera according to a camera number input by the user when a vehicle searching request is initiated, wherein the target camera is a camera visible at the position of the user; invoking the target camera to identify the position information of the user in a corresponding monitoring area according to the face information acquired when the target vehicle approaches;
the first planning module is configured to perform the steps of: splicing according to the routes in each camera area in the first roadway route information to obtain a feasible route; and determining the route of the shortest route in the feasible routes as the vehicle searching route.
9. A storage medium, characterized by: the storage medium having stored therein computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the internal route automatic planning method according to any one of claims 1 to 7.
10. A computer device, comprising: one or more processors, and memory;
the memory has stored therein computer readable instructions which, when executed by the one or more processors, perform the steps of the internal route automatic planning method according to any one of claims 1 to 7.
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| KR20110062087A (en) * | 2009-12-02 | 2011-06-10 | 유비벨록스(주) | Method, apparatus and system for identifying parking location |
| CN108257413A (en) * | 2018-01-25 | 2018-07-06 | 贵州宜行智通科技有限公司 | Seek vehicle system and method |
| CN114937370A (en) * | 2022-04-15 | 2022-08-23 | 浪潮思科网络科技有限公司 | Vehicle searching method and device for underground garage |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110062087A (en) * | 2009-12-02 | 2011-06-10 | 유비벨록스(주) | Method, apparatus and system for identifying parking location |
| CN108257413A (en) * | 2018-01-25 | 2018-07-06 | 贵州宜行智通科技有限公司 | Seek vehicle system and method |
| CN114937370A (en) * | 2022-04-15 | 2022-08-23 | 浪潮思科网络科技有限公司 | Vehicle searching method and device for underground garage |
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