CN109166341B - Parking space occupation state monitoring method based on space planning - Google Patents
Parking space occupation state monitoring method based on space planning Download PDFInfo
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Abstract
A parking space occupation state monitoring method based on space planning comprises the steps of (1) shooting a target area, and obtaining a live-action picture and a parking space distribution map when no parking exists; (2) calculating the suggested number, height and position erected by the parking space state monitoring camera based on the live-action picture and the parking space distribution picture in the step (1); (3) combining the live-action picture and the distribution map into a vacant parking space state picture based on the live-action; (4) calibrating the parking space number according to space planning and practical requirements; (5) setting the camera head at a proper position and height capable of covering a target area; (6) based on the initial state diagram, adjusting a parking space state recognition algorithm by actually measuring the entering and exiting of the vehicle into and out of the parking space; (7) the parking space occupation state is captured more accurately. The method has the advantages that: the identification range is wide, the deployment is simple, and the maintenance is convenient.
Description
Technical Field
The invention relates to a parking space occupation state monitoring method based on space planning, and relates to the Internet of things or an information technology.
Background
With the increase of urban vehicles, parking space resources are more and more in shortage. In order to reasonably manage and use parking space resources, the occupation condition of the parking space resources needs to be effectively monitored.
The device of monitoring parking stall occupation condition mainly has at present: geomagnetism, video piles, high-level gun balls and the like.
The main disadvantages are:
a. the geomagnetic mode is easy to interfere, high in deployment cost, high in maintenance cost and the like;
b. the video piles are densely arranged and are easy to damage, the deployment cost is high, and the maintenance cost is extremely high;
the number of the parking spaces managed by the high-position gun ball is small (9 parking spaces are the current limit), so that the high-position gun ball is relatively densely deployed, has high cost and is not easy to maintain, and is easy to be restricted by city management and the like due to the requirement of deployment density.
Disclosure of Invention
The purpose of the invention is as follows:
the invention provides a parking space occupation state monitoring method based on space planning, and aims to solve the problems in the prior art.
The technical scheme is as follows:
the utility model provides a parking stall occupation state monitoring method based on space planning which characterized in that: the method is realized by utilizing a zoom camera, a network transmission interface and a power supply interface; the operation steps comprise:
(1) shooting a target area, and obtaining a live-action picture and a parking space distribution map when the vehicle is not parked;
(2) and initial planning: calculating the suggested number, height and position erected by the parking space state monitoring camera based on the live-action picture and the parking space distribution picture in the step (1);
(3) combining the live-action map and the distribution map into a live-action-based idle parking space state map, and storing the idle parking space state map in a matrix form, which is hereinafter referred to as an initial state map;
(4) calibrating the parking space number according to space planning and practical requirements; the parking space number is calibrated in the initial state diagram in the step (3) after combination, and is stored in a specified position in the matrix database, and is not marked on an actual picture; and the number and the actual parking space number establish a mapping relation as required.
(5) Setting the camera head at a proper position and height capable of covering a target area;
(6) and a debugging stage: based on the initial state diagram, the parking space state recognition algorithm is adjusted by actually measuring the parking space entering and exiting of the vehicle, so that the accuracy of judging the parking space occupation state in the target area reaches more than 99 percent;
(7) and a use stage: and the state judgment algorithm is adjusted in real time through the cloud platform background, so that the parking space occupation state is captured more accurately.
(1) The method for shooting the target area in the step is manual shooting, the height of the camera is adjusted to 2 meters after the camera is fixed on the support by using the height-adjustable support, and the support with the camera is erected at the middle point (1) at one end of the longitudinal end of the planned position. Simultaneously, a section of striking bicolor ribbon with the length of 2 meters is taken, transversely stretched by a fixed height (2 meters, which is equal to the position of a camera), and placed at the other longitudinal end of a planned position to serve as a No. 2 point (2); and then shot with the point No. 2 as a target. (1, alignment or near alignment (not necessarily precise) of the center point of the ribbon with the camera 2, stretching of the bag and then working with Point 2 as the focus is prepared for judgment in step 4)
(2) The method for deploying the parking space state monitoring camera in the step comprises the following steps: the parking space state monitoring camera comprises a main camera and an auxiliary camera, wherein the main camera is used for monitoring the parking space occupation state, and the auxiliary camera is used for shooting license plate numbers;
at one deployment point, only one main camera is arranged, and the auxiliary cameras are arranged according to the design angle and density of the parking spaces; the number of the main cameras corresponds to the number of the deployed points one by one, and one or more auxiliary cameras can be used for capturing and identifying the license plate as long as the requirements for capturing and identifying the license plate can be met, namely, the license plate on a farther parking space can be shot, and whether the license plate can be captured and identified or not can be observed through manual and intelligent license plate identification (mature algorithm).
The main camera deployment point basis is as follows:
a, clearly identifying a double-color ribbon in the picture shot in the step (1);
b. in the image, the sizes of the two color blocks of the color band are consistent;
c. in the case of the original size of an image, the length of a single color block is not less than 2mm in the area formed by the two color blocks;
the above three conditions must be satisfied simultaneously;
if the conditions are not met, the front-end and rear-end boundaries of shooting need to be redefined (such as dichotomy and common dichotomy), shooting is carried out again until the three conditions are met, and an area monitored by one main camera is determined to be deployed.
A main camera, the height of which is between 3 meters and 6 meters, and if the single color block in the c basis just reaches 2mm, the height is preferably within 3 meters to 4 meters; the horizontal distance between the deployment point and any region of the monitored region is preferably within 2 meters, or if the requirements of city management and the like allow, the deployment point is preferably placed at the middle position on any side of the parking space.
(6) Adjusting a parking space state recognition algorithm in the steps:
a. recording the relation between the parking space idle/occupied state and the environment: recording image values of the parking space on sunny days and cloudy days (a visible region and an image Gaussian algorithm value thereof which are directly brought by the image values of the parking space); the image value of the parking space when the parking space is occupied by the parking space adjacent to the left side of the parking space; the image value of the parking space when the parking space is occupied by the parking space close to the right side of the parking space; the image value of the parking space when the parking spaces adjacent to the parking space are occupied;
b. judging whether the parking space is occupied at any moment according to the record;
c. when an error is found, the corresponding relation between the recorded value and the state is adjusted (manually) through a background so as to further optimize;
and repeating the steps to enable the parking space monitoring in the area to reach a higher level.
And (4) adjusting the relation between the actual state of the parking space and the state identified by the algorithm by a manual method according to the adjustment state judgment algorithm shown in (6) c.
(3) The merging method in the step: and replacing the background of the distribution map with the background of the live-action map.
A parking space occupation state monitoring method based on space planning comprises a (zoom) camera, a network transmission interface and a power supply interface. The operation steps comprise:
1. shooting a target area, and obtaining a live-action picture and a parking space distribution map when no parking exists;
2. initial planning: calculating the suggested number, height and position of the camera based on the live-action picture and the parking space distribution map (the live-action picture and the distribution map can be loaded into corresponding software for processing);
3. combining the live-action map and the distribution map into a live-action-based idle parking space state map (stored in a matrix form and referred to as an initial state map hereinafter);
4. calibrating the parking space number according to space planning and practical requirements;
5. positioning a camera head at a suitable position and height to cover the target area;
6. a debugging stage: based on the initial state diagram, the parking space state recognition algorithm is adjusted by actually measuring the parking space occupied by the vehicle, so that the accuracy of judging the parking space occupation state in the target area reaches more than 99.9% (exceeding or being equal to the prior art).
7. The use stage is as follows: and if necessary, adjusting the state judgment algorithm in real time through the cloud platform background to enable the parking space occupation state to be captured more accurately.
The advantages and effects are as follows:
a parking space occupation state monitoring method based on space planning directly monitors the parking space occupation condition by a video means through a space planning method; the method comprises the steps of establishing a parking space initial state matrix by utilizing an initial planning graph and a target area live-action graph; according to the space planning, each parking space is numbered, and a mapping relation is established between the number of each parking space and the number of an actual parking space.
Specifically, in order to solve the problems, the invention adopts a video mode, directly identifies the parking space occupation condition by using a space planning algorithm, greatly improves the number of the management parking spaces of a single deployment point (100 parking spaces can be managed simultaneously), and reduces the difficulty requirement of deployment, thereby greatly reducing the construction cost and the maintenance cost.
The parking space occupation condition monitoring work is mainly completed by background software, the construction is simple, the manufacturing cost is low, and the maintenance is easy
The method has the advantages that: the parking space state recognition method has the advantages that the recognition range is wide, the deployment is simple, the maintenance is convenient, the accuracy of parking space state recognition can be further optimized at the background only through the cloud server if necessary, and along with the increase of data generated in a target area, the state judgment accuracy is improved to 100%. Therefore, the scheme can completely replace a parking space management mode based on the geomagnetism and is superior to a high-level gun ball mode in the applicability and the management area breadth. Thereby can greatly reduce parking stall management system construction input and administrative cost, the management scene that is suitable for is abundanter.
Description of the drawings:
fig. 1 is a schematic view of an initial shooting target area.
The specific implementation mode is as follows:
the utility model provides a parking stall occupation state monitoring method based on space planning which characterized in that: the method is realized by utilizing a zoom camera, a network transmission interface and a power supply interface; the operation steps comprise:
(1) shooting a target area, and obtaining a live-action picture and a parking space distribution map when the vehicle is not parked;
(2) and initial planning: calculating the suggested number, height and position erected by the parking space state monitoring camera based on the live-action picture and the parking space distribution picture in the step (1);
(3) combining the live-action map and the distribution map into a live-action-based idle parking space state map, and storing the idle parking space state map in a matrix form, which is hereinafter referred to as an initial state map;
(4) calibrating the parking space number according to space planning and practical requirements; the parking space number is calibrated in the initial state diagram in the step (3) after combination, and is stored in the appointed position in the matrix database, and is not marked on the actual picture (namely, the parking space number is a description of the position of the picture, but not a behavior of polluting the picture); and the number and the actual parking space number establish a mapping relation as required.
(5) Setting the camera head at a proper position and height capable of covering a target area;
(6) and a debugging stage: based on the initial state diagram, the parking space state recognition algorithm is adjusted by actually measuring the parking space entering and exiting of the vehicle, so that the accuracy of judging the parking space occupation state in the target area reaches more than 99.9%; (over or equal to the prior art!)
(7) And a use stage: and the state judgment algorithm is adjusted in real time through the cloud platform background, so that the parking space occupation state is captured more accurately.
(1) The method for shooting the target area in the step is manual shooting, an adjustable height bracket is used, after a camera is fixed on the bracket, the height is adjusted to 2 meters, and the bracket with the camera is erected at a middle point (1) at one end of a longitudinal end of a planned position (for example, one or two rows of roadside parking places are arranged at one side or two sides of a corresponding road, and the longitudinal end refers to the starting middle position of any row head, as shown in fig. 1). Simultaneously, a segment of a striking double-color (such as half yellow + half red, which is suitable for being different from the field environment) belt with the length of 2 meters is taken, transversely stretched (i.e. the belt is not folded and stretched to the natural size) with the fixed height (2 meters, which is equal to the position of a camera), and placed at the other longitudinal end of the planned position as a No. 2 point (2) (as shown in the No. 2 position in figure 1, the point marked by the No. 2 in the figure is the starting point of an arrow pointing to the No. 2!that the No. 2 point is the position shown by the starting point of the arrow!); and then shot with the point No. 2 as a target.
(2) The method for deploying the parking space state monitoring camera in the step comprises the following steps: the parking space state monitoring camera comprises a main camera and an auxiliary camera, wherein the main camera is used for monitoring the parking space occupation state, and the auxiliary camera is used for shooting license plate numbers;
at one deployment point, only one main camera is arranged, and the auxiliary cameras are arranged according to the design angle and density of the parking spaces; that is, the number of the main cameras corresponds to the number of the deployed points one by one, and one or more auxiliary cameras are provided as long as the requirements for capturing and identifying the license plate can be met.
The main camera deployment point basis is as follows:
d, in the picture shot in the step (1), the double-color ribbon (as shown in the position II in the figure 1) can be clearly identified;
e. in the image, the sizes of the two color blocks of the color band are consistent;
f. in the case of the original size of an image, the length of a single color block is not less than 2mm in the area formed by the two color blocks;
the above three conditions must be satisfied simultaneously;
if the conditions are not met, the front and rear end boundaries of shooting need to be redefined, shooting is conducted again until the three conditions are met, and an area monitored by one main camera is determined to be deployed.
A main camera, the height of which is between 3 meters and 6 meters, and if the single color block in the c basis just reaches 2mm, the height is preferably within 3 meters to 4 meters; the horizontal distance between the deployment point and any region of the monitored region is preferably within 2 meters, or if the requirements of city management and the like allow, the deployment point is preferably placed at the middle position on any side of the parking space.
(6) Adjusting a parking space state recognition algorithm in the steps:
d. recording the relation between the parking space idle/occupied state and the environment: recording the image values of the parking space in sunny days and cloudy days; the image value of the parking space when the parking space is occupied by the parking space adjacent to the left side of the parking space; the image value of the parking space when the parking space is occupied by the parking space close to the right side of the parking space; the image value of the parking space when the parking spaces adjacent to the parking space are occupied;
e. judging whether the parking space is occupied at any moment according to the record;
f. when an error is found, the corresponding relation between the recorded value and the state is adjusted (manually) through a background so as to further optimize;
and repeating the steps to enable the parking space monitoring in the area to reach a higher level.
And (4) adjusting the relation between the actual state of the parking space and the state identified by the algorithm by a manual method according to the adjustment state judgment algorithm shown in (6) c.
(3) The merging method in the step: and replacing the background of the distribution map with the background of the live-action map.
In conclusion, the method stores the actual state of the initial parking space planning in a matrix form, collects data through a camera, and continuously trains through a background algorithm to quickly obtain an accurate parking space state monitoring result. And single-point deployment and monitoring in a visible range are realized.
Meanwhile, through a network interface, the algorithm precision is continuously updated by the cloud platform background, and the parking space occupation state can be effectively and accurately monitored under various climatic conditions and abnormal conditions.
By utilizing the device, the parking space state monitoring of a large-range target area (or a visible area) is realized through the steps. In addition, the system can be matched with other cameras (which can be deployed at the same position and at different angles), and can also capture vehicle or license plate information, thereby further facilitating parking space charging management. The identification work is mainly completed by background software, and the method has the advantages of simple construction, low manufacturing cost and easy maintenance.
Claims (7)
1. The utility model provides a parking stall occupation state monitoring method based on space planning which characterized in that: the method is realized by utilizing a zoom camera, a network transmission interface and a power supply interface; the operation steps comprise:
(1) shooting a target area, and obtaining a live-action picture and a parking space distribution map when the vehicle is not parked;
(2) and initial planning: calculating the suggested number, height and position erected by the parking space state monitoring camera based on the live-action picture and the parking space distribution picture in the step (1);
(3) combining the live-action map and the distribution map into a live-action-based idle parking space state map, and storing the idle parking space state map in a matrix form, which is hereinafter referred to as an initial state map;
(4) calibrating the parking space number according to space planning and practical requirements; the parking space number is calibrated in the initial state diagram in the step (3) after combination, and is stored in a specified position in the matrix database, and is not marked on an actual picture; and the number and the actual parking space number establish a mapping relation as required;
(5) setting the camera head at a proper position and height capable of covering a target area;
(6) and a debugging stage: based on the initial state diagram, adjusting a parking space state recognition algorithm by actually measuring the entering and exiting of the vehicle into and out of the parking space;
(7) and a use stage: the state judgment algorithm is adjusted in real time through the cloud platform background, so that the parking space occupation state is captured more accurately;
(1) the method for shooting the target area in the step is manual shooting, the height of the camera is adjusted to 2 meters after the camera is fixed on the support by using a height-adjustable support, and the support with the camera is erected at the middle point of one end of the longitudinal end of the planned position; simultaneously, a section of striking bicolor ribbon with the length of 2 meters is taken, transversely stretched at a fixed height and placed at the other longitudinal end of a planned position to serve as a No. 2 point; and then shot with the point No. 2 as a target.
2. The space occupation state monitoring method based on space planning as claimed in claim 1, wherein: (2) the method for deploying the parking space state monitoring camera in the step comprises the following steps: the parking space state monitoring camera comprises a main camera and an auxiliary camera, wherein the main camera is used for monitoring the parking space occupation state, and the auxiliary camera is used for shooting license plate numbers;
at one deployment point, only one main camera is arranged, and the auxiliary cameras are arranged according to the design angle and density of the parking spaces; that is, the number of the main cameras corresponds to the number of the deployed points one by one, and one or more auxiliary cameras are provided as long as the requirements for capturing and identifying the license plate can be met.
3. The space occupation state monitoring method based on space planning as claimed in claim 2, wherein: the main camera deployment point basis is as follows:
a. (1) in the picture shot in the step, the bicolor ribbon can be clearly identified;
b. in the image, the sizes of the two color blocks of the color band are consistent;
c. in the case of the original size of an image, the length of a single color block is not less than 2mm in the area formed by the two color blocks;
the above three conditions must be satisfied simultaneously;
if the conditions are not met, the front and rear end boundaries of shooting need to be redefined, shooting is conducted again until the three conditions are met, and an area monitored by one main camera is determined to be deployed.
4. The space occupation state monitoring method based on space planning as claimed in claim 3, wherein: a main camera with a height of 3-6 m, wherein if the single color block of the c is just up to 2mm, the height is within 3-4 m; the horizontal distance between the deployment point and any region of the monitored region is within 2 meters, or if the urban management requirement allows, the deployment point is placed at the middle position of any side of the parking space.
5. The space occupation state monitoring method based on space planning as claimed in claim 1, wherein: (6) adjusting a parking space state recognition algorithm in the steps:
a. recording the relation between the parking space idle/occupied state and the environment: recording the image values of the parking space in sunny days and cloudy days; the image value of the parking space when the parking space is occupied by the parking space adjacent to the left side of the parking space; the image value of the parking space when the parking space is occupied by the parking space close to the right side of the parking space; the image value of the parking space when the parking spaces adjacent to the parking space are occupied;
b. judging whether the parking space is occupied at any moment according to the record;
c. when an error is found, adjusting the corresponding relation between the recorded value and the state in a background in a manual mode so as to further optimize;
and repeating the steps to enable the parking space monitoring in the area to reach a higher level.
6. The space occupation state monitoring method based on space planning according to claim 5, characterized in that: and (4) adjusting the relation between the actual state of the parking space and the state identified by the algorithm by a manual method according to the adjustment state judgment algorithm in the step (6) c.
7. The space occupation state monitoring method based on space planning according to claim 5, characterized in that: (3) the merging method in the step: and replacing the background of the distribution map with the background of the live-action map.
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| CN110956847B (en) * | 2019-12-20 | 2021-11-30 | 奇瑞汽车股份有限公司 | Parking space identification method and device and storage medium |
| CN112991808B (en) * | 2020-12-29 | 2022-09-30 | 杭州海康威视数字技术股份有限公司 | Parking space display method and device for parking area and electronic equipment |
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| JPH11185027A (en) * | 1997-12-22 | 1999-07-09 | Toyota Central Res & Dev Lab Inc | Object detector |
| CN102129785A (en) * | 2011-03-18 | 2011-07-20 | 沈诗文 | Intelligent management system for large-scene parking lot |
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