CN114519938B - Positioning navigation system and method based on parking space number image recognition - Google Patents
Positioning navigation system and method based on parking space number image recognition Download PDFInfo
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- 238000010191 image analysis Methods 0.000 claims abstract description 17
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- 238000010801 machine learning Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 claims description 3
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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
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
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Abstract
The invention provides a positioning navigation system and a method based on parking space number image recognition, aiming at the technical problems in the prior art, and the method comprises the following steps: the system comprises a server and a client terminal, wherein the server is in communication connection with the client terminal through a server; the server comprises a parking space image learning module, an image analysis module, a position recording module and a position inquiring module; the client comprises a parking space recording module and a vehicle searching module; the parking space recording module is used for recording the parking position by shooting through a camera or uploading an image locally; the vehicle retrieving module navigates to the recorded parking position by combining indoor and outdoor positioning. The implementation and maintenance cost is lower, the system is stable, the positioning accuracy is higher, and the bidirectional navigation can be realized by combining indoor and outdoor navigation; can be combined with a user mobile terminal, is more convenient and has lower power consumption.
Description
Technical Field
The invention relates to the technical field of image recognition and navigation, in particular to a positioning navigation system and method based on parking space number image recognition.
Background
The existing car searching system is mature, high in identification accuracy, and is generally associated with a barrier gate system, the number of cars parked in a field can be dynamically controlled, and personal equipment of a user is not needed when the system is used; secondly, when the license plate is stained or shielded, the identification of the license plate number is affected, so that the parking position cannot be inquired on a parking system, the included angle between a camera and the license plate is large, and the identification of the vehicle is also affected by factors such as whether the vehicle is placed regularly or not, the on-site illumination condition and the like; thirdly, the use is inconvenient when reverse seeking, and partial seeking machine system can only obtain parking space number information when inquiring the vehicle parking position, and cannot learn the vehicle parking floor. Some car seeker systems can only inquire about vehicles parked on the floor, and many parking lots containing a plurality of parking floors are not friendly. Some car seekers can provide static navigation routes, but the car seekers are typically placed in fixed locations such as an elevator car and cannot provide dynamic directions and directions as the user's location changes.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a positioning navigation system and a positioning navigation method based on the identification of the parking space number image, which have lower implementation and maintenance cost, higher system stability and positioning accuracy, and can realize bidirectional navigation by combining indoor and outdoor navigation; can be combined with a user mobile terminal, is more convenient and has lower power consumption.
According to a first aspect of the present invention, there is provided a positioning navigation system based on identification of a car space number image, comprising:
The system comprises a server and a client terminal, wherein the server is in communication connection with the client terminal through a server;
The server comprises a parking space image learning module, an image analysis module, a position recording module and a position inquiring module; the parking space image learning module trains a parking space number recognition program by machine learning and using a pre-collected parking space number image material, so that the parking space image learning module has the capability of recognizing any parking space number; the image analysis module analyzes the image shot and uploaded by the user side by using the trained parking space number recognition program and outputs parking space number information contained in the image; the position recording module records the parking position of the user when the user parks; the position inquiry module acquires a parking position recorded in the server when a user finds a car and parks the car; the client comprises a parking space recording module and a vehicle searching module; the parking space recording module is used for recording the parking position by shooting through a camera or uploading an image locally; the vehicle retrieving module navigates to the recorded parking position by combining indoor and outdoor positioning.
On the basis of the technical scheme, the invention can also make the following improvements.
Optionally, the parking space image learning module marks the pre-collected photos of the parking space numbers, marks the positions of the parking space numbers on the images by using marking tools, segments each character of the parking space numbers, segments and identifies the marked images by using an open computer vision library, and finally obtains a trained model and response parameters for the next image analysis task.
Optionally, the image analysis module uses the model and the parameters obtained by the parking space image learning module in the learning stage to construct an image analysis task, and feeds back whether the parking space number is detected in the photo or not and feeds back the detected parking space number information through the photo of the incoming parking space.
Optionally, after the user shoots and uploads the picture and analyzes the obtained position, the server stores the position and records the position under the user name, and sends a notification to the user, so as to provide an entrance for the user when the user needs to feed back the recorded position information.
Optionally, the same user records a plurality of different types of location information and a plurality of locations of the same type.
Alternatively, when the same user records a plurality of the same type of positions, it is indicated that the user parks a plurality of vehicles at different positions, and at this time, the position information is recorded by different names for distinction.
Optionally, the parking space retrieving module includes list display and map display when displaying.
According to a second aspect of the present invention, there is provided a positioning navigation method based on identification of a car space number image, comprising the steps of:
S1: arranging a plurality of iBeacon devices in a parking lot, positioning floors and positions of the garage, configuring different parking space numbers for each parking space, and training by utilizing pre-acquired parking space number image materials based on machine learning to form a parking space number identification program;
S2: the user shoots or uploads the parking space picture information, and the trained parking space number recognition program is used for analyzing the image information shot or uploaded by the user and outputting the parking space number information contained in the image information;
S3: recording position information of a user when the user parks and storing the position information in a server, wherein the information stored in the server comprises an address, longitude and latitude coordinates, a photo, a parking space number, a license plate number and a set name;
S4: and (3) inquiring the parking position information and searching the vehicle by uploading the photo newly or any item of information stored in the server in the step S3, and navigating to the recorded parking position by combining an indoor positioning function.
Optionally, in the step S3-S4, during the storing and querying process, according to the information stored under the user name, a parking lot and a specific floor containing the parking space number near the longitude and latitude where the user is located are searched, the specific indoor position where the user vehicle is parked is finally determined, and the corresponding indoor and outdoor maps are associated, after the indoor position where the user is parked is determined, the user vehicle parking position is notified through a plurality of different channels, and the user is waited for querying and indicating.
The positioning navigation system and method based on the parking space number image recognition provided by the invention have the following beneficial effects: the implementation and maintenance cost is lower, the system is stable, the positioning accuracy is higher, and the bidirectional navigation can be realized by combining indoor and outdoor navigation; can be combined with a user mobile terminal, is more convenient and has lower power consumption.
Drawings
FIG. 1 is a schematic block diagram of a positioning navigation system based on parking space number image recognition provided by an embodiment of the invention;
FIG. 2 is a flowchart of a positioning navigation method based on parking space number image recognition provided by an embodiment of the invention;
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
As shown in fig. 1-2:
example 1
Fig. 1 is a schematic block diagram of a positioning navigation system based on identification of a parking space number image according to an embodiment of the present invention, and as shown in fig. 1, a positioning navigation system based on identification of a parking space number image is provided, including:
The system comprises a server and a client terminal, wherein the server is in communication connection with the client terminal through a server;
The server comprises a parking space image learning module, an image analysis module, a position recording module and a position inquiring module; the parking space image learning module trains a parking space number recognition program by machine learning and using a pre-collected parking space number image material, so that the parking space image learning module has the capability of recognizing any parking space number; the image analysis module analyzes the image shot and uploaded by the user side by using the trained parking space number recognition program and outputs parking space number information contained in the image; the position recording module records the parking position of the user when the user parks; the position inquiry module acquires a parking position recorded in the server when a user finds a car and parks the car; the client comprises a parking space recording module and a vehicle searching module; the parking space recording module is used for recording the parking position by shooting through a camera or uploading an image locally; the vehicle retrieving module navigates to the recorded parking position by combining indoor and outdoor positioning.
It can be understood that in this embodiment, the server is divided into the following functional modules:
the parking space image learning module uses a machine learning technology and uses a pre-collected parking space number image material to train a parking space number recognition program so as to enable the parking space image learning module to have the capability of recognizing any parking space number.
And the image analysis module is used for analyzing the image shot and uploaded by the user side by using the trained parking space number identification program and outputting the parking space number information contained in the image.
And the position recording module is used for recording the parking position of the user when the user parks and comprises information such as addresses, coordinates, photos, parking space numbers and the like.
And the position inquiry module is used for acquiring the parking position recorded in the server when the user finds the vehicle and parks.
The client comprises the following modules:
And the parking space recording module is used for recording the parking position by shooting with one key.
And the vehicle searching module is used for navigating to the recorded parking position by combining the indoor positioning function.
The technical scheme of the embodiment has lower implementation and maintenance cost, stable system and higher positioning accuracy, and can realize bidirectional navigation by combining indoor and outdoor navigation; can be combined with a user mobile terminal, is more convenient and has lower power consumption.
In a possible embodiment, the parking space image learning module firstly marks a pre-acquired photograph of the parking space number, marks the position of the parking space number on the image by using a marking tool, segments each character of the parking space number, segments and identifies the marked image by using an open computer vision library, and finally obtains a trained model and response parameters for the next image analysis task.
In a possible embodiment, the image analysis module uses the model and parameters obtained by the parking space image learning module in the learning stage to construct an image analysis task, and feeds back whether the parking space number is detected in the photo by inputting the parking space photo, and feeds back the detected parking space number information.
In a possible embodiment, after the user takes a picture and analyzes the picture to obtain a position, the server saves the position and records the position under the user name, and sends a notification to the user to provide an entry for the user when the user needs to feed back the recorded position information.
In one possible embodiment, the same user records multiple different types of location information and multiple types of locations.
In one possible embodiment, when the same user records multiple locations of the same type, it is indicated that the user has parked multiple vehicles at different locations, at which point location information is recorded by different names for distinction.
In one possible embodiment, the parking space retrieving module includes a list display and a map display at the time of display.
It will be appreciated that the user needs to use this feature when wanting to return to a vehicle parking position, and that the location record presentation is divided into two modes, list presentation and map presentation.
In the list display mode, a user can check the recorded position according to the item, click the item to check the position details, the detail page displays a position alias, a text address and a photo shot during parking, wherein the position alias, the text address and the photo are contained in the position record, the text address is formed by reversely coding longitude and latitude coordinates of a specific parking position, the text address displays a map icon, the position can be displayed on the indoor ground after clicking, and the parking position can be checked on a world map by shrinking the map.
Under the map mode display, a user can see all recorded positions on the world map, can see the display of the positions on the indoor map after enlarging the positions to a certain scale, can view map detail pages by clicking the positions, and can return to the world map after enlarging the positions.
The user can also directly reach the position detail page through clicking the position notification sent by the server, and the function provides a certain convenience for the user to quickly return to the parking position.
The user may remove outdated locations on the location detail page. If the parking position analyzed by the server side is inconsistent with the photo, the user can feed back to the server side, so that the system is improved, and the subsequent use experience is improved. The real-time indoor navigation system can be started, and the parked vehicles can be quickly found out in a parking lot with unfamiliar users along with the prompt of the navigation system.
Example two
The embodiment provides a positioning navigation method based on parking space number image recognition, which comprises the following steps:
S1: arranging a plurality of iBeacon devices in a parking lot, positioning floors and positions of the garage, configuring different parking space numbers for each parking space, and training by utilizing pre-acquired parking space number image materials based on machine learning to form a parking space number identification program;
S2: the user shoots or uploads the parking space picture information, and the trained parking space number recognition program is used for analyzing the image information shot or uploaded by the user and outputting the parking space number information contained in the image information;
S3: recording position information of a user when the user parks and storing the position information in a server, wherein the information stored in the server comprises an address, longitude and latitude coordinates, a photo, a parking space number, a license plate number and a set name;
S4: and (3) inquiring the parking position information and searching the vehicle by uploading the photo newly or any item of information stored in the server in the step S3, and navigating to the recorded parking position by combining an indoor positioning function.
It can be understood that in the embodiment, after the user registers and logs in by using the App or the WeChat applet, the user can use the function, after driving the vehicle to the parking lot, the App or the WeChat applet is opened, a picture of the parking space is taken, the program background can simultaneously request to locate the current position of the user, the user clicks the record button to upload the picture and the longitude and latitude of the user to the server, at the moment, the user end finishes the operation, and the App or the WeChat applet can be closed and leave the parking position. The server side asynchronously analyzes the photo after receiving the request to obtain a parking space number, searches a database for a parking lot and a specific floor containing the parking space number near the longitude and latitude where the user is located by combining the longitude and latitude positions submitted by the user, can finally determine the specific indoor position where the user vehicle is parked, and associates a corresponding indoor map to prepare for the user when returning to the parking position. After determining the indoor location where the user parks, the user is informed of the vehicle parking location through a plurality of channels, for example, the App can use in-App push, and the WeChat applet can use subscription messages, so that the user can have a quick entry when the user wants to return to the parking location.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (1)
1. The positioning navigation system based on the parking space number image recognition is characterized by comprising a server and a client terminal, wherein the server is in communication connection with the client terminal through a server; the server comprises a parking space image learning module, an image analysis module, a position recording module and a position inquiring module; the parking space image learning module trains a parking space number recognition program by machine learning and using a pre-collected parking space number image material, so that the parking space image learning module has the capability of recognizing any parking space number; the image analysis module analyzes the image shot and uploaded by the user side by using the trained parking space number recognition program and outputs parking space number information contained in the image; the position recording module records the parking position of the user when the user parks; the position inquiry module acquires a parking position recorded in the server when a user finds a car and parks the car; the client comprises a parking space recording module and a vehicle retrieving module; the parking space recording module is used for recording the parking position by shooting through a camera or uploading an image locally; the vehicle searching module is used for navigating to the recorded parking position by combining indoor and outdoor positioning; the parking space image learning module firstly marks a pre-acquired photo of a parking space number, marks the position of the parking space number on an image by using a marking tool, segments each character of the parking space number, segments and identifies the marked image by using an open computer vision library, and finally obtains a trained model and response parameters for the next image analysis task; the image analysis module uses the model and parameters obtained by the parking space image learning module in the learning stage to construct an image analysis task, and feeds back whether the parking space number is detected in the photo or not and feeds back the detected parking space number information through the photo of the parking space; after a user shoots and uploads a picture and analyzes the picture to obtain a position, a server stores the position and records the position under a user name, and sends a notification to the user to provide an entrance for the user when the user needs to feed back the recorded position information; the same user records a plurality of different types of position information and a plurality of same types of positions; when the same user records a plurality of positions of the same type, the user is shown to park a plurality of vehicles at different positions, and at the moment, the position information is recorded by different names to distinguish; the parking space retrieving module comprises list display and map display during display;
the positioning navigation system based on the parking space number image recognition is used for executing the following positioning navigation method, and comprises the following steps of:
s1: arranging a plurality of iBeacon devices in a parking lot, positioning floors and positions of the garage, configuring different parking space numbers for each parking space, and training by utilizing pre-acquired parking space number image materials based on machine learning to form a parking space number identification program;
S2: the user shoots or uploads the parking space picture information, and the trained parking space number recognition program is used for analyzing the image information shot or uploaded by the user and outputting the parking space number information contained in the image information;
S3: recording position information of a user when the user parks and storing the position information in a server, wherein the information stored in the server comprises an address, longitude and latitude coordinates, a photo, a parking space number, a license plate number and a set name;
S4: the parking position information is inquired and the vehicle is searched through the newly uploaded photo or any item of information stored in the server in the step S3, and the recorded parking position is navigated by combining an indoor positioning function;
in the process of storing and inquiring, according to the information stored under the user name, searching a parking lot and a specific floor which contain the parking space number near the longitude and latitude where the user is located, finally determining the specific indoor position where the user vehicle parks, associating corresponding indoor and outdoor maps, informing the user of the parking position of the vehicle through a plurality of different channels after determining the indoor position where the user parks, and waiting for the user to inquire and instruct.
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| US20090309759A1 (en) * | 2008-06-13 | 2009-12-17 | Darin Scot Williams | Car-finder method and aparatus |
| KR101231920B1 (en) * | 2011-06-15 | 2013-02-08 | (주)인펙비전 | Parking Management Operation System |
| KR102267562B1 (en) * | 2015-04-16 | 2021-06-22 | 한국전자통신연구원 | Device and method for recognition of obstacles and parking slots for unmanned autonomous parking |
| CN107610501A (en) * | 2017-08-10 | 2018-01-19 | 浙江科技学院 | Parking garage vehicle guidance method |
| CN108172012A (en) * | 2017-12-26 | 2018-06-15 | 戴姆勒股份公司 | A kind of method and system for the parking position for being used to position and track vehicle |
| JP7200645B2 (en) * | 2018-12-11 | 2023-01-10 | トヨタ自動車株式会社 | In-vehicle device, program, and vehicle |
| CN109615910A (en) * | 2018-12-15 | 2019-04-12 | 深圳壹账通智能科技有限公司 | Intelligent parking method, apparatus, computer equipment and storage medium |
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