CN114387695A - Parking charge timing method and related device - Google Patents
Parking charge timing method and related device Download PDFInfo
- Publication number
- CN114387695A CN114387695A CN202210080084.9A CN202210080084A CN114387695A CN 114387695 A CN114387695 A CN 114387695A CN 202210080084 A CN202210080084 A CN 202210080084A CN 114387695 A CN114387695 A CN 114387695A
- Authority
- CN
- China
- Prior art keywords
- target vehicle
- parking space
- vehicle
- small
- small target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000001514 detection method Methods 0.000 claims abstract description 94
- 238000012544 monitoring process Methods 0.000 claims abstract description 38
- 238000012545 processing Methods 0.000 claims abstract description 29
- 230000002085 persistent effect Effects 0.000 claims description 3
- 230000001052 transient effect Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/02—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people not involving the registering, indicating or recording of other data
Abstract
The embodiment of the application discloses a parking charging timing method and a related device, which are used for improving the condition of inaccurate parking charging in a high-level road caused by shielding of a large target vehicle. The method can judge whether a large target vehicle in a certain parking space shields a small target vehicle in a front parking space or not by monitoring the information of a small vehicle detection frame and the information of a large vehicle detection frame in a monitoring picture so as to carry out corresponding parking timing processing; the timing processing when the occlusion occurs may specifically include: if the large target vehicle drives into the parking space later than the small target vehicle and drives out of the parking space later than the small target vehicle, determining the charging time period of the small target vehicle as the time from the small target vehicle to the large target vehicle; and if the large target vehicle drives into the parking space earlier than the small target vehicle and drives out of the parking space earlier than the small target vehicle, determining that the charging time period of the small target vehicle is from the time of the large target vehicle driving out of the parking space to the time of the small target vehicle driving out of the parking space.
Description
Technical Field
The embodiment of the application relates to the technical field of smart cities, in particular to a parking charging timing method and a related device.
Background
With the improvement of the national living standard and the rapid development of the automobile industry, the quantity of automobiles kept by the nation is increasing day by day, and therefore, a discussion key point is formed on how to fully apply and manage the parking space resources in roads.
At present, a high-level in-road parking system based on videos is rapidly developed, and the system can monitor when a vehicle enters or exits a parking space in a road through videos by using a high-level video pile provided with a camera, and can identify the number of a license plate, so that the vehicle in the parking space can be charged and managed.
However, truck block issues are a difficulty in high-level in-road parking billing. As the volume of the truck is larger than that of the common trolley, once the truck is parked in the parking space, the common trolley parked in the front parking space is easily shielded, so that the parking time of the shielded vehicle in the parking space is difficult to be correctly tracked and recorded, and the condition of charge leakage or wrong charging is caused.
Disclosure of Invention
The embodiment of the application provides a parking charging timing method and a related device, which are used for improving the condition of inaccurate parking charging in a high-level road caused by shielding of a large target vehicle.
A first aspect of an embodiment of the present application provides a parking charge timing method, including:
acquiring trolley detection frame information of a small target vehicle parked in a parking space in a monitoring picture;
acquiring cart detection frame information of a large target vehicle parked in a parking space in the monitoring picture;
tracking and recording the time of the large target vehicle entering the parking space and the time of the large target vehicle exiting the parking space;
judging whether the large target vehicle shields the small target vehicle or not according to the trolley detection frame information and the cart detection frame information;
if the shielding occurs, and the large target vehicle drives into the parking space later than the small target vehicle and drives out of the parking space later than the small target vehicle, acquiring the driving-in parking space time of the small target vehicle, and determining the charging time period of the small target vehicle as the driving-in parking space time of the small target vehicle to the driving-in parking space time of the large target vehicle;
if the blockage occurs, and the large target vehicle enters the parking space earlier than the small target vehicle and exits the parking space earlier than the small target vehicle, acquiring the time of exiting the parking space of the small target vehicle, and determining the charging time period of the small target vehicle as the time from exiting the parking space of the large target vehicle to exiting the parking space of the small target vehicle.
Optionally, before determining whether the large target vehicle blocks the small target vehicle according to the trolley detection frame information and the cart detection frame information, the method further includes:
and acquiring license plate information of the small target vehicle and the large target vehicle in the monitoring picture.
Optionally, after determining whether the large target vehicle blocks the small target vehicle according to the trolley detection frame information and the cart detection frame information, the method further includes:
and if the small target vehicle is not shielded, acquiring the time of entering the parking space and the time of leaving the parking space of the small target vehicle, and determining the charging time period of the small target vehicle according to the time of entering the parking space and the time of leaving the parking space of the small target vehicle.
Optionally, before determining whether the large target vehicle blocks the small target vehicle according to the trolley detection frame information and the cart detection frame information, the method further includes:
and respectively determining the positions and the number of the large target vehicles and the small target vehicles in the monitoring picture through a vehicle detection model.
Optionally, the determining whether the large target vehicle obstructs the small target vehicle according to the trolley detection frame information and the cart detection frame information includes:
calculating a first overlapping area of a vehicle frame of the large target vehicle and a vehicle frame of the small target vehicle according to the small vehicle detection frame information and the large vehicle detection frame information, and determining that the small target vehicle is shielded by the large target vehicle if the first overlapping area is larger than or equal to a first preset value;
and if the first overlapping area is smaller than the first preset value, determining that the large target vehicle does not shield the small target vehicle.
Optionally, after the obtaining of the cart detection frame information of the large target vehicle parked in the parking space in the monitoring picture, the method further includes:
acquiring parking space frame information of each parking space through a parking space information table, wherein the parking space information table can comprise parking space preset numbers and parking space size information;
calculating a second overlapping area of the vehicle frame of the large target vehicle and the parking space frame of the previous parking space according to the parking space frame information and the cart detection frame information, and determining that the large target vehicle covers the previous parking space if the second overlapping area is larger than or equal to a second preset value; and if the second overlapping area is smaller than the second preset value, determining that the large target vehicle does not shield the preceding parking space, wherein the preceding parking space refers to one or more parking spaces in front of the parking space where the large target vehicle is located, and the preceding parking space can be used for parking the small target vehicle.
A second aspect of the embodiments of the present application provides a parking fee timing device, including:
the acquisition unit is used for acquiring the trolley detection frame information of the small target vehicle parked in the parking space in the monitoring picture;
the acquisition unit is also used for acquiring the cart detection frame information of the large target vehicle parked in the parking space in the monitoring picture;
the processing unit is used for tracking and recording the time of the large target vehicle entering the parking space and the time of the large target vehicle leaving the parking space;
the processing unit is further used for judging whether the large target vehicle shields the small target vehicle or not according to the trolley detection frame information and the cart detection frame information;
the processing unit is further configured to, if the occlusion occurs and the large target vehicle drives into and out of the parking space later than the small target vehicle, obtain the time of the small target vehicle driving into the parking space, and determine that the charging period of the small target vehicle is from the time of the small target vehicle driving into the parking space to the time of the large target vehicle driving into the parking space;
the processing unit is further configured to, if the occlusion occurs and the large target vehicle enters the parking space earlier than the small target vehicle and exits the parking space earlier than the small target vehicle, obtain an exiting parking space time of the small target vehicle, and determine that a charging period of the small target vehicle is from the exiting parking space time of the large target vehicle to the exiting parking space time of the small target vehicle.
Optionally, the obtaining unit is further configured to obtain license plate information of the small target vehicle and the large target vehicle in the monitoring picture.
Optionally, the processing unit is further configured to, if no occlusion occurs, obtain an entry parking space time and an exit parking space time of the small target vehicle, and determine a charging period of the small target vehicle according to the entry parking space time and the exit parking space time of the small target vehicle.
Optionally, the processing unit is further configured to determine, through a vehicle detection model, positions and numbers of the large target vehicles and the small target vehicles in the monitoring screen, respectively.
Optionally, the processing unit is specifically configured to calculate a first overlapping area of a vehicle frame of the large target vehicle and a vehicle frame of the small target vehicle according to the cart detection frame information and the cart detection frame information, and determine that the small target vehicle is occluded by the large target vehicle if the first overlapping area is greater than or equal to a first preset value; and if the first overlapping area is smaller than the first preset value, determining that the large target vehicle does not shield the small target vehicle.
Optionally, the obtaining unit is further configured to obtain parking stall frame information of each parking stall through a parking stall information table;
the processing unit is further configured to calculate a second overlapping area of the vehicle frame of the large target vehicle and the parking space frame of the preceding parking space according to the parking space frame information and the cart detection frame information, and determine that the large target vehicle blocks the preceding parking space if the second overlapping area is greater than or equal to a second preset value; and if the second overlapping area is smaller than the second preset value, determining that the large target vehicle does not shield the previous parking space, wherein the previous parking space which is shielded or not refers to one or more parking spaces in front of the parking space where the large target vehicle is located, and the previous parking space can be used for parking the small target vehicle.
A third aspect of the embodiments of the present application provides a parking fee timing device, including:
the system comprises a central processing unit, a memory and an input/output interface;
the memory is a transient memory or a persistent memory;
the central processing unit is configured to communicate with the memory and execute the instructions in the memory to perform the method described in the first aspect of the embodiments or any specific implementation manner of the first aspect of the present application.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, including instructions, which, when executed on a computer, cause the computer to perform the method as described in the first aspect of embodiments of the present application or any implementation manner of the first aspect.
According to the technical scheme, the embodiment of the application has the following advantages:
according to the parking charge timing method, whether a large target vehicle in a certain parking space blocks a small target vehicle in a front parking space or not can be judged through the acquired small vehicle detection frame information and the acquired large vehicle detection frame information in the monitoring picture, so that corresponding parking timing processing is carried out; the parking timing process herein may specifically include: if the occlusion occurs, and the large target vehicle drives into the parking space later than the small target vehicle and drives out of the parking space later than the small target vehicle, acquiring the driving-in parking space time of the small target vehicle, and determining the charging time period of the small target vehicle as the driving-in parking space time of the small target vehicle to the driving-in parking space time of the large target vehicle; if the occlusion occurs, and the large target vehicle drives into the parking space earlier than the small target vehicle and drives out of the parking space earlier, acquiring the time of driving out of the parking space of the small target vehicle, and determining the charging time period of the small target vehicle as the time from the driving out of the parking space of the large target vehicle to the time from the driving out of the parking space of the small target vehicle. Therefore, the parking charge timing method can effectively improve the condition that the timing charge of the small target vehicle is inaccurate due to the fact that the large vehicle covers the small target vehicle in the front parking space.
Drawings
FIG. 1 is a schematic flow chart of a parking fee timing method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a parking fee timing method according to an embodiment of the present application;
FIG. 3 is a schematic structural view of a parking meter apparatus according to an embodiment of the present invention;
fig. 4 is another schematic structural diagram of the parking fee timing device according to the embodiment of the present application.
Detailed Description
The large target vehicle in the application may specifically refer to a large-volume vehicle such as a truck or a bus, and the small target vehicle may specifically refer to a common car such as a car, and the specific implementation mode will be mainly exemplified by taking the truck as an example; in practical application, monitoring equipment (such as a camera) on the high-position video pile can monitor 4 parking spaces, and if a truck is parked in the No. 2 parking space, whether parking is carried out in the previous parking space, namely the front No. 3 parking space and the front No. 4 parking space or not is seen.
Referring to fig. 1, the present application provides one embodiment of a parking fee timing method, which includes steps 101 to 105.
101. And acquiring trolley detection frame information.
The method comprises the steps of obtaining trolley detection frame information of small target vehicles parked in parking spaces in a monitoring picture, wherein the trolley detection frame information can specifically comprise vehicle size frame information formed according to the shapes of the small and medium target vehicles in the monitoring picture, and can be used for detecting the size of the small target vehicles so as to judge whether the follow-up large target vehicles cover the small target vehicles.
102. And acquiring the cart detection frame information.
The method comprises the steps of obtaining large vehicle detection frame information of large target vehicles parked in parking spaces in a monitoring picture, wherein the small vehicle detection frame information can specifically comprise vehicle size frame information formed according to the shapes of the large target vehicles in the monitoring picture and can be used for detecting the size of the large target vehicles so as to judge whether the follow-up large target vehicles shield the small target vehicles.
103. And tracking and recording the time of the large target vehicle entering the parking space and the time of the large target vehicle exiting the parking space.
Tracking and recording the time of the large target vehicle entering the parking space and the time of the large target vehicle exiting the parking space through the content of the monitoring picture; for example, a vehicle feature point set (such as a license plate number) in a monitoring picture can be extracted and stored to realize tracking and recording of a large target vehicle or a small target vehicle, and this step mainly refers to tracking and recording the entering parking space time and the exiting parking space time of the large target vehicle.
104. And judging whether the large target vehicle blocks the small target vehicle.
And judging whether the large target vehicle shields the small target vehicle or not according to the trolley detection frame information and the cart detection frame information. In a specific implementation manner, the overlapping area between the vehicle frames of the two vehicles can be calculated according to the information of the small vehicle detection frame and the information of the large vehicle detection frame, and whether the large target vehicle blocks the small target vehicle can be judged by comparing whether the overlapping area exceeds a preset value.
105. A billing period for the small target vehicle is determined.
Because the time that large-scale target vehicle and small-size target vehicle drive into and leave the parking stall has the morning and evening to divide, so need divide the charging period of condition determination small-size target vehicle when taking place to shelter from, specifically include:
(1) if the occlusion occurs, and the large target vehicle drives into the parking space later than the small target vehicle and drives out of the parking space later than the small target vehicle, acquiring the driving-in parking space time of the small target vehicle, and determining the charging time period of the small target vehicle as the driving-in parking space time of the small target vehicle to the driving-in parking space time of the large target vehicle.
(2) If the occlusion occurs, and the large target vehicle drives into the parking space earlier than the small target vehicle and drives out of the parking space earlier, acquiring the time of driving out of the parking space of the small target vehicle, and determining the charging time period of the small target vehicle as the time from the driving out of the parking space of the large target vehicle to the time from the driving out of the parking space of the small target vehicle.
The execution sequence of each step in steps 101 to 103 is not limited, and the steps can be performed simultaneously in practical application.
The traditional method judges whether the vehicle enters or exits the parking space through the geomagnetism arranged under each in-road parking space, and determines whether the vehicle is in a parking or driving state, thereby realizing the charging management of the vehicle parked in the in-road parking space, and the method has the problems of complex installation, high cost, difficult maintenance and the like although the judgment result is more accurate; meanwhile, the method cannot identify the license plate number and the time of the sheltered vehicle entering and exiting the parking space, so that the inspection personnel can only be informed of the unpaid vehicle for manual processing, and the cost of the charging management work of parking in the road cannot be increased due to the fact that the evidence such as the license plate information cannot be reserved for the vehicle with malicious fee evasion. According to the parking charge timing method, the situation that the timing charge of the small target vehicle is inaccurate due to the fact that the large vehicle covers the small target vehicle in the front parking space can be effectively improved through the monitoring picture, and labor cost of parking charge management in a road is reduced.
Referring to fig. 2, the present application provides another embodiment of a parking fee timing method, including:
201. and acquiring license plate information of the small target vehicle and the large target vehicle.
And acquiring license plate information of small and medium-sized target vehicles and large target vehicles in the monitoring picture so as to carry out charging management after the license is stored.
202. The positions and the number of the large target vehicles and the small target vehicles are determined.
And respectively determining the positions and the number of the large target vehicles and the small target vehicles in the monitoring picture through the vehicle detection model.
In one embodiment, when the position and the number of the small target vehicles in the monitoring screen need to be detected, a small target vehicle detection algorithm based on deep learning, such as a YOLO (YOLO) target detection algorithm or an SSD (SSD) target detection algorithm, may be used. The monitoring equipment on the high-position video pile can be arranged at a position six meters high to collect video and picture information of a vehicle, wherein the vehicle refers to the whole vehicle seen on a monitoring picture, for example, when the vehicle runs away from a camera, the whole vehicle at the position is the tail and the roof of the vehicle, and even comprises part of the vehicle body; when the vehicle runs close to the camera, the whole vehicle is the head and the roof, and even comprises part of the vehicle body.
In one embodiment, when the position and number of the large target vehicles in the monitoring screen need to be detected, an algorithm consistent with the small target vehicle detection algorithm or an inconsistent algorithm, such as a dedicated large target vehicle detection model, may be used. When two target vehicles are detected by selecting the consistent detection algorithm, parameter settings suitable for the large target vehicles or the small target vehicles need to be made respectively, namely after the small target vehicles are detected, the relevant parameter settings in the detection algorithm are adjusted to start the corresponding large target vehicle detection models to detect the positions and the number of the large target vehicles so as to improve the detection rate of the large target vehicles.
It should be noted that, if the large target vehicle is at a far position and the vehicle size is small, the large target vehicle can be detected by using the small target vehicle detection model, but the detection is difficult when the vehicle is close to the camera or the vehicle size is large, and some large target vehicles may not be detected by using the small target vehicle detection model, while more large target vehicles can be detected by using a dedicated large target vehicle detection model. Therefore, preferably, the embodiment of the present application uses a dedicated small target vehicle detection model and a dedicated large target vehicle detection model to detect corresponding target vehicle information, and then, an overlapping result of target vehicles detected by the two models needs to be calculated, and the positions and the number of the repeatedly detected small and large target vehicles are determined by combining a license plate recognition result; the detection results of the large target vehicles detected by the two models need to be combined, only 1 result is reserved, specifically, the detection results of the large target vehicle detection models are used as the standard when the overlapping results occur, so that the positions and the number of the large target vehicles existing in the current monitoring picture are finally determined, the detection rate of the large target vehicles is improved, meanwhile, the parking condition of parking places in a road is favorably patrolled, or whether the vehicles pre-parked in the parking places are released so that the vehicles are parked in the parking places is determined.
203. And acquiring trolley detection frame information.
204. And acquiring the cart detection frame information.
205. And tracking and recording the time of the large target vehicle entering the parking space and the time of the large target vehicle exiting the parking space.
206. And judging whether the large target vehicle blocks the small target vehicle.
Calculating a first overlapping area of a vehicle frame of the large target vehicle and a vehicle frame of the small target vehicle according to the small vehicle detection frame information and the large vehicle detection frame information, and determining that the small target vehicle is shielded by the large target vehicle if the first overlapping area is larger than or equal to a first preset value; and if the first overlapping area is smaller than the first preset value, determining that the large target vehicle does not shield the small target vehicle.
207. A billing period for the small target vehicle is determined.
When the large target vehicle blocks the small target vehicle, the operation of determining the charging period of the small target vehicle is similar to the content described in (1) to (2) in the foregoing step 105, and details are not repeated here;
when the large target vehicle does not obstruct the small target vehicle (it can be understood that the common trolley can be automatically identified), the operation of determining the charging period of the small target vehicle may be to determine the charging period of the small target vehicle according to the acquired parking space entering time and parking space exiting time of the small target vehicle, which includes but is not limited to:
firstly, when a truck is completely stopped in a parking space (recorded as time B), if a common trolley is parked in a front parking space, the state of the common trolley is modified into a suspected leaving state, and the time (recorded as time A) of the common trolley entering the parking space is recorded:
and <1>, if the common trolley on the front parking space exits the parking space at the time C and is identified before the truck exits the parking space, recording the exiting parking space time of the common trolley as the time C, and accounting the time interval from the time A to the time C.
And 2, when the truck is driven out (recorded as time D), re-identifying the parking condition of the common trolley on the front parking space, if the common trolley is still on the parking space, continuing tracking and timing, and if the leaving time of the common trolley is time E, setting the charging time interval from time A to time E.
When the truck is completely and stably stopped in the parking space (recorded as time B), if the common trolley is not parked in the front parking space, and the truck is parked in the time, the common trolley drives into the front parking space and is identified (time F), and the driving-in time of the common trolley is recorded as time F:
and <1>, the common trolley is driven out and identified within the parking time of the truck (time G), and the charging time period of the common trolley is from the time F to the time G.
<2>, if the truck is driven out, the parking condition of the common trolley on the front parking space is identified again, if the front truck leaves and lacks the driving-out parking space record due to special conditions, in order to avoid charging disputes such as multi-charging, the driving-in record of the truck can be deleted, and the truck is directly released.
208. And acquiring the parking space frame information of each parking space and judging whether the large target vehicle covers the front parking space.
After the parking space frame information of each parking space is obtained through the parking space information table, according to the parking space frame information and the large vehicle detection frame information, a second overlapping area of a vehicle frame of the large target vehicle and a parking space frame of a previous parking space can be calculated, and if the second overlapping area is larger than or equal to a second preset value, it is determined that the large target vehicle covers the previous parking space; and if the second overlapping area is smaller than a second preset value, determining that the large target vehicle does not shield the front parking space. The front parking space refers to one or more parking spaces in front of the parking space where the large target vehicle is located, and the front parking space can be used for parking the small target vehicle. Whether the large target vehicle covers the front parking space or not is judged, and operation such as patrol inspection of the parking situation (for example, whether the vehicle is parked beyond a parking space line) by an in-road parking management system or personnel is facilitated. It should be noted that, the step of obtaining the parking space frame information of each parking space in step 208 and the step of determining whether the large target vehicle covers the preceding parking space may also be performed separately, for example, the step of obtaining the parking space frame information of each parking space may be performed before step 204, that is, the order of execution of any step of steps 201 to 203 is not limited, and similarly, the step of determining whether the large target vehicle covers the preceding parking space may be performed after step 204.
The method of the embodiment of the application can improve the detection rate of the truck, and meanwhile, when the truck shields the vehicle in the front parking space or parks the vehicle in the front parking space, the purpose of charging as accurately as possible can be achieved; if the recording that the small target vehicle enters or exits the parking space is lost during the stop of the truck, the condition of inaccurate charging such as multi-charging and the like can be effectively avoided by adjusting the charging time period.
Referring to fig. 3, a second aspect of the present embodiment provides a parking fee timing device, including:
the acquisition unit 301 is configured to acquire trolley detection frame information of a small target vehicle parked in a parking space in a monitoring picture;
the acquisition unit 301 is further configured to acquire cart detection frame information of a large target vehicle parked in a parking space in the monitoring picture;
the processing unit 302 is configured to track and record the time of the large target vehicle entering the parking space and the time of the large target vehicle leaving the parking space;
the processing unit 302 is further configured to determine whether the large target vehicle blocks the small target vehicle according to the cart detection frame information and the cart detection frame information;
the processing unit 302 is further configured to, if the occlusion occurs and the large target vehicle drives into and out of the parking space later than the small target vehicle, obtain the time for the small target vehicle to drive into the parking space, and determine that the charging period of the small target vehicle is from the time for the small target vehicle to the time for the large target vehicle to drive into the parking space;
the processing unit 302 is further configured to, if the occlusion occurs and the large target vehicle enters the parking space earlier than the small target vehicle and exits the parking space earlier than the small target vehicle, obtain the time of exiting the parking space of the small target vehicle, and determine that the charging period of the small target vehicle is from the time of exiting the parking space of the large target vehicle to the time of exiting the parking space of the small target vehicle.
In this embodiment of the present application, operations performed by each unit of the parking charging timing apparatus are similar to those described in the first aspect or any specific method embodiment of the first aspect, and details are not repeated.
Referring to fig. 4, the parking charging timing apparatus 400 according to the embodiment of the present disclosure may include one or more Central Processing Units (CPUs) 401 and a memory 405, where the memory 405 stores one or more applications or data.
The parking meter device 400 may also include one or more power supplies 402, one or more wired or wireless network interfaces 403, one or more input-output interfaces 404, and/or one or more operating systems, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The central processing unit 401 may perform the operations performed by any of the foregoing first aspect or any of the specific method embodiments of the first aspect, which are not described in detail herein.
It should be understood that, in the various embodiments of the present application, the size of the serial number of each step does not mean the execution sequence, and the execution sequence of each step should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or integrated into another system or apparatus, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a service server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (14)
1. A parking fee timing method, comprising:
acquiring trolley detection frame information of a small target vehicle parked in a parking space in a monitoring picture;
acquiring cart detection frame information of a large target vehicle parked in a parking space in the monitoring picture;
tracking and recording the time of the large target vehicle entering the parking space and the time of the large target vehicle exiting the parking space;
judging whether the large target vehicle shields the small target vehicle or not according to the trolley detection frame information and the cart detection frame information;
if the shielding occurs, and the large target vehicle drives into the parking space later than the small target vehicle and drives out of the parking space later than the small target vehicle, acquiring the driving-in parking space time of the small target vehicle, and determining the charging time period of the small target vehicle as the driving-in parking space time of the small target vehicle to the driving-in parking space time of the large target vehicle;
if the blockage occurs, and the large target vehicle enters the parking space earlier than the small target vehicle and exits the parking space earlier than the small target vehicle, acquiring the time of exiting the parking space of the small target vehicle, and determining the charging time period of the small target vehicle as the time from exiting the parking space of the large target vehicle to exiting the parking space of the small target vehicle.
2. The parking meter method according to claim 1, wherein said determining whether the large target vehicle obstructs the small target vehicle based on the small vehicle detection frame information and the large vehicle detection frame information further comprises:
and acquiring license plate information of the small target vehicle and the large target vehicle in the monitoring picture.
3. The parking meter method according to claim 1, wherein said determining whether said large target vehicle obstructs said small target vehicle based on said small vehicle detection frame information and said large vehicle detection frame information, further comprises:
and if the small target vehicle is not shielded, acquiring the time of entering the parking space and the time of leaving the parking space of the small target vehicle, and determining the charging time period of the small target vehicle according to the time of entering the parking space and the time of leaving the parking space of the small target vehicle.
4. The parking meter method according to claim 1, wherein said determining whether the large target vehicle obstructs the small target vehicle based on the small vehicle detection frame information and the large vehicle detection frame information further comprises:
and respectively determining the positions and the number of the large target vehicles and the small target vehicles in the monitoring picture through a vehicle detection model.
5. The parking fee timing method according to claim 1, wherein said determining whether the large target vehicle obstructs the small target vehicle according to the small vehicle detection frame information and the large vehicle detection frame information comprises:
calculating a first overlapping area of a vehicle frame of the large target vehicle and a vehicle frame of the small target vehicle according to the small vehicle detection frame information and the large vehicle detection frame information, and determining that the small target vehicle is shielded by the large target vehicle if the first overlapping area is larger than or equal to a first preset value; and if the first overlapping area is smaller than the first preset value, determining that the large target vehicle does not shield the small target vehicle.
6. The parking fee timing method according to claim 1, wherein after acquiring cart detection frame information of a large target vehicle parked in a parking space in the monitoring screen, the method further comprises:
acquiring parking space frame information of each parking space through a parking space information table;
calculating a second overlapping area of the vehicle frame of the large target vehicle and the parking space frame of the previous parking space according to the parking space frame information and the cart detection frame information, and determining that the large target vehicle covers the previous parking space if the second overlapping area is larger than or equal to a second preset value; and if the second overlapping area is smaller than the second preset value, determining that the large target vehicle does not shield the preceding parking space.
7. A parking meter apparatus, comprising:
the acquisition unit is used for acquiring the trolley detection frame information of the small target vehicle parked in the parking space in the monitoring picture;
the acquisition unit is also used for acquiring the cart detection frame information of the large target vehicle parked in the parking space in the monitoring picture;
the processing unit is used for tracking and recording the time of the large target vehicle entering the parking space and the time of the large target vehicle leaving the parking space;
the processing unit is further used for judging whether the large target vehicle shields the small target vehicle or not according to the trolley detection frame information and the cart detection frame information;
the processing unit is further configured to, if the occlusion occurs and the large target vehicle drives into and out of the parking space later than the small target vehicle, obtain the time of the small target vehicle driving into the parking space, and determine that the charging period of the small target vehicle is from the time of the small target vehicle driving into the parking space to the time of the large target vehicle driving into the parking space;
the processing unit is further configured to, if the occlusion occurs and the large target vehicle enters the parking space earlier than the small target vehicle and exits the parking space earlier than the small target vehicle, obtain an exiting parking space time of the small target vehicle, and determine that a charging period of the small target vehicle is from the exiting parking space time of the large target vehicle to the exiting parking space time of the small target vehicle.
8. The parking meter according to claim 7, wherein the acquiring unit is further configured to acquire license plate information of the small target vehicle and the large target vehicle in the monitoring screen.
9. The parking charging timing apparatus of claim 7, wherein the obtaining unit is further configured to obtain the time of the small target vehicle entering the parking space and the time of the small target vehicle exiting the parking space if no occlusion occurs, and determine the charging period of the small target vehicle according to the time of the small target vehicle entering the parking space and the time of the small target vehicle exiting the parking space.
10. The parking meter according to claim 7, wherein the processing unit is further configured to determine the positions and the numbers of the large target vehicles and the small target vehicles in the monitoring screen through a vehicle detection model.
11. The parking fee timing apparatus according to claim 7, wherein the processing unit is specifically configured to calculate a first overlapping area of the vehicle frame of the large target vehicle and the vehicle frame of the small target vehicle according to the small vehicle detection frame information and the large vehicle detection frame information, and determine that the small target vehicle is occluded by the large target vehicle if the first overlapping area is greater than or equal to a first preset value; and if the first overlapping area is smaller than the first preset value, determining that the large target vehicle does not shield the small target vehicle.
12. The parking charging timing apparatus according to claim 7, wherein the obtaining unit is further configured to obtain the parking stall frame information of each parking stall through a parking stall information table;
the processing unit is further configured to calculate a second overlapping area of the vehicle frame of the large target vehicle and the parking space frame of the preceding parking space according to the parking space frame information and the cart detection frame information, and determine that the large target vehicle blocks the preceding parking space if the second overlapping area is greater than or equal to a second preset value; and if the second overlapping area is smaller than the second preset value, determining that the large target vehicle does not shield the preceding parking space.
13. A parking meter apparatus, comprising:
the system comprises a central processing unit, a memory and an input/output interface;
the memory is a transient memory or a persistent memory;
the central processor is configured to communicate with the memory and execute the operations of the instructions in the memory to perform the method of any of claims 1 to 6.
14. A computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210080084.9A CN114387695B (en) | 2022-01-24 | 2022-01-24 | Parking charging timing method and related device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210080084.9A CN114387695B (en) | 2022-01-24 | 2022-01-24 | Parking charging timing method and related device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114387695A true CN114387695A (en) | 2022-04-22 |
| CN114387695B CN114387695B (en) | 2024-04-19 |
Family
ID=81204570
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210080084.9A Active CN114387695B (en) | 2022-01-24 | 2022-01-24 | Parking charging timing method and related device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114387695B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0944785A (en) * | 1995-08-01 | 1997-02-14 | Nippon Signal Co Ltd:The | Vehicle detector |
| US5717390A (en) * | 1995-03-20 | 1998-02-10 | Hasselbring; Richard E. | Doppler-radar based automatic vehicle-classification system |
| US20060071816A1 (en) * | 2004-10-05 | 2006-04-06 | Wai-Cheung Tang | Electronic toll collection system |
| US20080101656A1 (en) * | 2006-10-30 | 2008-05-01 | Thomas Henry Barnes | Method and apparatus for managing parking lots |
| CN108573612A (en) * | 2017-03-09 | 2018-09-25 | 苏州雷目电子科技有限公司 | A kind of parking stall monitoring method stopped using ranging angle measurement radar monitoring vehicle into behavior of driving away |
| CN110910655A (en) * | 2019-12-11 | 2020-03-24 | 深圳市捷顺科技实业股份有限公司 | Parking management method, device and equipment |
| US20200272837A1 (en) * | 2019-02-25 | 2020-08-27 | Quantifly Llc | Vehicle Parking Data Collection System and Method |
| CN111784857A (en) * | 2020-06-22 | 2020-10-16 | 浙江大华技术股份有限公司 | Parking space management method and device and computer storage medium |
| CN112365719A (en) * | 2020-11-02 | 2021-02-12 | 北京精英路通科技有限公司 | Parking space management method and device, computer equipment and storage medium |
| CN112767449A (en) * | 2021-01-29 | 2021-05-07 | 深圳市捷顺科技实业股份有限公司 | Vehicle driving-out parking space detection method and device, electronic equipment and storage medium |
-
2022
- 2022-01-24 CN CN202210080084.9A patent/CN114387695B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5717390A (en) * | 1995-03-20 | 1998-02-10 | Hasselbring; Richard E. | Doppler-radar based automatic vehicle-classification system |
| JPH0944785A (en) * | 1995-08-01 | 1997-02-14 | Nippon Signal Co Ltd:The | Vehicle detector |
| US20060071816A1 (en) * | 2004-10-05 | 2006-04-06 | Wai-Cheung Tang | Electronic toll collection system |
| US20080101656A1 (en) * | 2006-10-30 | 2008-05-01 | Thomas Henry Barnes | Method and apparatus for managing parking lots |
| CN108573612A (en) * | 2017-03-09 | 2018-09-25 | 苏州雷目电子科技有限公司 | A kind of parking stall monitoring method stopped using ranging angle measurement radar monitoring vehicle into behavior of driving away |
| US20200272837A1 (en) * | 2019-02-25 | 2020-08-27 | Quantifly Llc | Vehicle Parking Data Collection System and Method |
| CN110910655A (en) * | 2019-12-11 | 2020-03-24 | 深圳市捷顺科技实业股份有限公司 | Parking management method, device and equipment |
| CN111784857A (en) * | 2020-06-22 | 2020-10-16 | 浙江大华技术股份有限公司 | Parking space management method and device and computer storage medium |
| CN112365719A (en) * | 2020-11-02 | 2021-02-12 | 北京精英路通科技有限公司 | Parking space management method and device, computer equipment and storage medium |
| CN112767449A (en) * | 2021-01-29 | 2021-05-07 | 深圳市捷顺科技实业股份有限公司 | Vehicle driving-out parking space detection method and device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 冯移冬;姜明;: "基于时间的高速公路路侧标志遮挡概率计算模型研究", 公路, no. 12 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114387695B (en) | 2024-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102254429B (en) | Video identification-based detection method of detection device of violation vehicles | |
| CN101510356B (en) | Video detection system and data processing device thereof, video detection method | |
| CN111325858B (en) | Method for realizing automatic charging management aiming at roadside temporary parking space | |
| CN110910655A (en) | Parking management method, device and equipment | |
| CN108921956A (en) | A kind of curb parking charge management method based on Video Analysis Technology | |
| CN107154152A (en) | Video stake equipment and parking management method | |
| CN110163985A (en) | A kind of curb parking management charge system and charging method based on the identification of vehicle face | |
| CN105184940A (en) | Vehicle barrier gate machine passing system based on intelligent cloud | |
| CN113744420B (en) | Road parking charge management method, system and computer readable storage medium | |
| CN108932849B (en) | Method and device for recording low-speed running illegal behaviors of multiple motor vehicles | |
| CN105574502A (en) | Automatic detection method for violation behaviors of self-service card sender | |
| CN109523787A (en) | A kind of fatigue driving analysis method based on vehicle pass-through track | |
| CN110310378A (en) | A kind of open type parking ground parking charge method and system based on double mirror | |
| WO2023179416A1 (en) | Method and apparatus for determining entry and exit of vehicle into and out of parking space, device, and storage medium | |
| CN106504355A (en) | A kind of highway toll method and terminal | |
| CN108932850B (en) | Method and device for recording low-speed driving illegal behaviors of motor vehicle | |
| CN113362483A (en) | Vehicle abnormity detection method, device, equipment and storage medium | |
| CN113990101B (en) | Method, system and processing device for detecting vehicles in no-parking area | |
| CN111445718A (en) | Smart city parking charging system and method based on Internet of things | |
| CN104517444A (en) | Detection system for unlawful act of using cell phones while driving | |
| CN110880205B (en) | Parking charging method and device | |
| CN114387695A (en) | Parking charge timing method and related device | |
| WO2023246720A1 (en) | Roadside parking detection method, roadside parking system, and electronic device | |
| CN112525552A (en) | Algorithm test system and method for automobile advanced auxiliary driving system | |
| CN114693722B (en) | Vehicle driving behavior detection method, detection device and detection equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |