CN112002027A - Highway charging method, device, terminal and storage medium - Google Patents
Highway charging method, device, terminal and storage medium Download PDFInfo
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- CN112002027A CN112002027A CN202010918910.3A CN202010918910A CN112002027A CN 112002027 A CN112002027 A CN 112002027A CN 202010918910 A CN202010918910 A CN 202010918910A CN 112002027 A CN112002027 A CN 112002027A
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- 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
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/14—Payment architectures specially adapted for billing systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Abstract
The embodiment of the application discloses a highway charging method, a highway charging device, a highway charging terminal and a highway charging storage medium, and belongs to the field of highway charging. The method comprises the following steps: during the running process of a target vehicle, receiving camera information transmitted from at least one portal frame passing backwards from a high-speed entrance; constructing a target vehicle image corresponding to the target vehicle according to the camera information; inputting the target vehicle portrait into a charging type recognition system to obtain a system target recognition result, wherein the target recognition result is used for indicating a target charging type corresponding to the target vehicle; responding to the target vehicle running out of the high-speed exit, and generating a target running track corresponding to the target vehicle according to the associated camera information; and calculating target vehicle charging information of the target vehicle according to the target charging type and the target running track. According to the method provided by the embodiment of the application, under the condition of not depending on the ETC device, the accurate analysis of the vehicle driving condition can be realized through the camera shooting information, and the charging accuracy of highway charging is improved.
Description
Technical Field
The embodiment of the application relates to the field of high-speed charging, in particular to a highway charging method, a highway charging device, a highway charging terminal and a highway charging storage medium.
Background
The highway is a highway specially used for driving automobiles, and in China, as the highway is a facility built by the nation from bank loan, certain highway cost is required to be collected.
In the related art, a conventional high-speed Toll Collection mode is an artificial Toll Collection mode in which vehicles stop at Toll stations, traveling vehicles need to stop at each Toll station and pay fees, and the payment mode is not popularized to an Electronic payment mode yet.
However, the confusion of highway toll management and the behavior of human fee evasion have a certain negative impact on the implementation of portal-based ETC toll reform.
Disclosure of Invention
The embodiment of the application provides a highway charging method, a highway charging device, a highway charging terminal and a highway charging storage medium, which can solve the problem of confusion of highway charging management and avoid the behavior of artificial fee evasion. The technical scheme is as follows:
on one hand, the method is used for a terminal for information interaction with a portal frame, the terminal is provided with a charging type identification system, and the method comprises the following steps:
in the running process of a target vehicle, receiving camera information transmitted from at least one portal frame passing backwards from a high-speed entrance, wherein the camera information comprises running video information and portal frame information of the target vehicle in a target camera area;
constructing a target vehicle portrait corresponding to the target vehicle according to the camera shooting information, wherein the target vehicle portrait comprises attribute information and environment information of the target vehicle;
inputting the target vehicle image into the charging type identification system to obtain a system target identification result, wherein the target identification result is used for indicating a target charging type corresponding to the target vehicle, and the target identification result is determined according to attribute information of the target vehicle;
responding to the fact that the target vehicle runs out of a high-speed exit, and generating a target running track corresponding to the target vehicle according to associated camera information, wherein the associated camera information is camera information transmitted by all portal frames passing between the high-speed entrance and the high-speed exit of the target vehicle;
and calculating target vehicle charging information of the target vehicle according to the target charging type and the target driving track.
On the other hand, a highway charging device is provided, the device can carry out information interaction with the portal frame, the device is installed with charging type identification system, the device includes:
the information receiving module is used for receiving camera shooting information transmitted from at least one portal frame passing backwards from a high-speed entrance in the running process of a target vehicle, wherein the camera shooting information comprises running video information and portal frame information of the target vehicle in a target camera shooting area;
the image construction module is used for constructing a target vehicle image corresponding to the target vehicle according to the camera information, and the target vehicle image comprises attribute information and environment information of the target vehicle;
the result output module is used for inputting the target vehicle portrait into the charging type identification system to obtain a system target identification result, the target identification result is used for indicating a target charging type corresponding to the target vehicle, and the target identification result is determined according to the attribute information of the target vehicle;
the track generation module is used for responding to the fact that the target vehicle drives out of the high-speed exit, and generating a target driving track corresponding to the target vehicle according to associated camera information, wherein the associated camera information is camera information transmitted by all portal frames passing between the high-speed entrance and the high-speed exit of the target vehicle;
and the charge calculation module is used for calculating the target vehicle charge information of the target vehicle according to the target charging type and the target running track.
In another aspect, a terminal is provided that includes a processor and a memory; the memory stores at least one instruction for execution by the processor to implement a highway billing method as described in the above aspect.
In another aspect, a computer-readable storage medium is provided that stores at least one instruction for execution by a processor to implement a highway billing method as described in the above aspect.
In another aspect, a computer program product is provided, which stores at least one instruction, which is loaded and executed by the processor to implement the highway billing method according to the above aspect.
In the embodiment of the application, the terminal can realize information interaction with the portal frame, a target vehicle image is constructed after camera information returned by the portal frame is obtained, the target vehicle image is input into the charging type identification system to determine a target charging type corresponding to a target vehicle, further, a target driving track is determined according to the camera information of all the portal frames, and finally, the charging information of the target vehicle is calculated; compared with a method for deducting fees through portal frame ETC communication in the related technology, the method provided by the embodiment of the application realizes accurate analysis of the running condition of the target vehicle through the camera information of the portal frame under the condition of not depending on an ETC device, and improves the charging accuracy of highway toll collection.
Drawings
Fig. 1 is a diagram illustrating an implementation scenario of a highway billing method in the related art according to an exemplary embodiment of the present application;
fig. 2 is a diagram illustrating an implementation scenario of a highway billing method according to an exemplary embodiment of the present application;
FIG. 3 illustrates a flow chart of a highway billing method shown in an exemplary embodiment of the present application;
FIG. 4 shows a flow chart of a highway billing method shown in another exemplary embodiment of the present application;
FIG. 5 illustrates an algorithm diagram of a billing type identification system in accordance with an exemplary embodiment of the present application;
FIG. 6 shows a flow chart of a highway billing method shown in another exemplary embodiment of the present application;
fig. 7 is a block diagram illustrating a structure of a highway billing device according to an embodiment of the present application;
fig. 8 is a block diagram illustrating a structure of a terminal according to an exemplary embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
First, the main problems of the portal ETC charging system in the related art will be described. As shown in fig. 1, the vehicle is driven out from the high-speed exit, and the vehicle passes through a portal frame a, a portal frame B and a portal frame C in the route, namely, three charges are required (the charging conditions at the high-speed entrance and the exit are not considered); however, if the vehicle user pulls out the ETC card after passing through the portal frame a, and inserts the ETC card again when passing through the portal frame C, the portal frame ETC charging system in the related art does not perceive the card pulling behavior of the user operation, and in the subsequent auditing process, the charging calculation is performed according to the shortest distance between the portal frames, as shown in fig. 1, because the user does not record the passing through the portal frame B after pulling out the card, therefore, the calculated distance is the distance from the portal frame a to the portal frame C under the dotted line, the distance is shortened, and the final charging result is not accurate.
The application provides a highway charging method which can solve the main problems of the portal frame ETC charging system. As shown in fig. 2, the terminal 100 can perform information interaction with each portal frame 200 (fig. 2 shows portal frame a, portal frame B and portal frame C), and when there is a target vehicle 300 passing by, each portal frame 200 shoots the target vehicle 300 and sends the shot information obtained by shooting to the terminal 100, the terminal 100 can construct a target vehicle image corresponding to the target vehicle 300 according to the shot information, and obtain a target billing type corresponding to the target vehicle through an installed billing type identification system, further, after the target vehicle 300 exits from a high-speed exit, the terminal 100 generates a target traveling track corresponding to the target vehicle according to the associated shooting information provided by each portal frame 200, and finally calculates the target vehicle charging information of the target vehicle 300 according to the target billing type and the target traveling track, even if the user performs card pulling operation when passing by the portal frame, according to the highway charging method provided by the application, accurate tracking and identification of vehicles can be still realized.
In a possible implementation manner, the terminal 100 corresponds to the server 400, and the server 400 may implement all functions of the terminal 100 and perform a background service on the terminal 100.
It should be noted that, in the following description, the highway billing method provided in the embodiments of the present application is exemplarily described by taking the terminal 100 shown in fig. 2 as an example. The terminal 100 may be an intelligent electronic device such as a mobile phone, a tablet computer, a laptop portable computer, a desktop computer, and the like, and the terminal 100 is installed with a billing type recognition system.
Referring to fig. 3, a flowchart of a highway billing method according to an exemplary embodiment of the present application is shown, where the method is applied to the terminal 100 shown in fig. 2, and the method includes:
In the running process of the target vehicle, when the target vehicle runs to a target shooting area of the portal frame, the portal frame detects that the vehicle passes through, and therefore shooting information of the target vehicle in the target shooting area is collected. Optionally, the camera information includes driving video information and portal frame information of a target vehicle in the target camera area, where the driving video information may be panoramic video stream data under a panoramic camera, or snapshot image data under the snapshot camera, or information content including two data, namely the panoramic video stream data and the snapshot image data.
In a possible implementation mode, when a target vehicle passes through a portal frame every time, the portal frame at the position sends instant camera information to a terminal through a wireless network; in another possible embodiment, the portal frame is preset with an interval time for uploading information during the running process of the target vehicle, for example, the camera information of all passing vehicles within the current 20 minutes is sent to the terminal every 20 minutes. In each embodiment of the present application, the information interaction method between the portal frame and the terminal is not limited.
And step 302, constructing a target vehicle image corresponding to the target vehicle according to the camera information.
Further, after receiving the camera shooting information, the terminal conducts preliminary analysis on the camera shooting information, detects out the target vehicles in the videos and the images, and then constructs the target vehicle portrait corresponding to the target vehicles according to the camera shooting information.
Optionally, the target vehicle representation includes attribute information and environmental information of the target vehicle. Attribute information such as type, brand, license plate content and the like of the target vehicle, and environmental information such as lane, geographical position and the like.
In the embodiment of the application, the terminal analyzes and processes data based on the intelligent module, and accurately senses the attribute characteristics of the vehicle by means of the intelligent video technology to obtain the attribute information of the target vehicle.
And step 303, inputting the target vehicle image into the charging type identification system to obtain a system target identification result, wherein the target identification result is used for indicating a target charging type corresponding to the target vehicle.
Since the environmental information is not associated with the vehicle type, in the present application, the target recognition result is determined according to the attribute information of the target vehicle.
Optionally, the charging type identification system is constructed based on a machine vision depth algorithm, and can perform reinforcement learning on the identified charging type and correction learning on the charging type with the error identification, so as to continuously improve the identification accuracy of the system.
And 304, responding to the target vehicle driving out from the high-speed exit, and generating a target driving track corresponding to the target vehicle according to the associated camera information.
In a possible embodiment, the terminal analyzes the camera information sent by all the gantries through which the target vehicle passes, and serially connects the gantry positions through which the target vehicle passes to generate the corresponding travel tracks, and optionally, in this application, the camera information sent by all the gantries through which the target vehicle passes between the high-speed entrance and the high-speed exit is defined as the associated camera information, that is, the associated camera information is the camera information sent by all the gantries through which the target vehicle passes between the high-speed entrance and the high-speed exit.
And step 305, calculating target vehicle charging information of the target vehicle according to the target charging type and the target running track.
And finally, the terminal calculates the target vehicle charging information of the target vehicle according to the target charging type and the target driving track.
It should be noted that the construction of the target vehicle representation content in step 302 may be performed after step 305, i.e., after the target vehicle has completed driving, to construct the target vehicle representation; the method for constructing the vehicle image while driving is provided, the target vehicle image is more accurate along with the increase of the number of passing portal frames, and finally the terminal completes construction of the target vehicle image when the target vehicle drives out of a high-speed exit, so that the speed of the next step is increased.
To sum up, in the embodiment of the application, the terminal can realize information interaction with the portal frame, construct the target vehicle image after acquiring the camera information returned by the portal frame, input the target vehicle image into the charging type identification system to determine the target charging type corresponding to the target vehicle, further determine the target driving track according to the camera information of all the portal frames, and finally calculate the charging information of the target vehicle; compared with a method for deducting fees through portal frame ETC communication in the related technology, the method provided by the embodiment of the application realizes accurate analysis of the running condition of the target vehicle through the camera information of the portal frame under the condition of not depending on an ETC device, and improves the charging accuracy of highway toll collection.
Referring to fig. 4, a flowchart of a highway billing method according to another exemplary embodiment of the present application is shown, where the method is applied to the terminal 100 shown in fig. 2, and the method includes:
Please refer to step 301, which is not described herein again in this embodiment.
And 402, acquiring attribute information of the target vehicle according to the running video information, wherein the attribute information comprises running lane information, license plate information, vehicle information and timestamp information of the target vehicle.
In one possible implementation, step 402 includes content one through content three.
And determining the driving lane information and the time stamp information of the target vehicle according to the driving video information.
And secondly, identifying the license plate information of the target vehicle according to the optimal video frame.
And thirdly, secondarily identifying the target vehicle and extracting the vehicle information of the target vehicle.
In the first content, the terminal can easily determine the driving lane information and the time stamp information when the target vehicle passes through the portal frame from the driving video information; in the second content, difficulty is identified when license plate information is obtained, in the embodiment of the application, a terminal determines an optimal video frame (such as a video frame with definition greater than a preset definition threshold), a license plate area and a license plate type are further identified from the optimal video frame, then, the terminal identifies the license plate area again, and finally character information in the license plate area is identified to finish extraction of the license plate information; in the third content, the terminal secondarily identifies the target vehicle and extracts vehicle information of the target vehicle.
And step 403, acquiring environment information of the target vehicle according to the portal frame information, wherein the environment information comprises geographical position information of the target vehicle.
In a possible implementation, the order of execution of step 402 and step 403 is not limited.
The portal frame information is information pre-stored in the portal frame during construction of the portal frame and at least comprises geographical position information of the portal frame, and when a target vehicle passes through the portal frame, the portal frame reports the pre-stored geographical position information as the current geographical position information of the target vehicle.
And step 404, constructing a target vehicle portrait corresponding to the target vehicle according to the attribute information and the environment information of the target vehicle.
And then, the terminal constructs a target vehicle portrait corresponding to the target vehicle according to the attribute information and the environment information of the target vehicle.
Optionally, the vehicle information includes brand information, color information, vehicle type, vehicle length, number of axles, and number of windows, and in the charging type identification system, the terminal determines a target charging type corresponding to the target vehicle according to the vehicle information content.
And step 406, responding to that the vehicle information of the target vehicle meets a first preset condition, wherein the system target identification result indicates that the target vehicle is of a truck billing type.
The first preset condition is determined according to the difference point of the truck and the passenger car, and the first preset condition is set according to at least one of brand information, color information, vehicle body type, vehicle length, axle number and window number in the vehicle information.
Optionally, the second preset condition is set according to at least one of brand information, color information, vehicle body type, vehicle length, number of axles and number of windows in the vehicle information, and the second preset condition is different from the first preset condition.
And step 408, in response to that the target vehicle is the truck charging type and the vehicle information of the target vehicle does not meet the second preset condition, judging whether the target vehicle meets other truck charging types or not according to the number of axles of the target vehicle.
Optionally, the other truck charging type is one of a second-class truck charging type, a third-class truck charging type, a fourth-class truck charging type, a fifth-class truck charging type and a sixth-class truck charging type.
And step 409, responding to the fact that the vehicle information of the target vehicle does not meet the first preset condition, and indicating that the target vehicle is the passenger car charging type according to the system target identification result.
And step 410, responding to that the target vehicle is the passenger car charging type and the vehicle information of the target vehicle meets a second preset condition, wherein the system target identification result indicates that the target vehicle is the class-one passenger car charging type.
And 411, in response to that the target vehicle is the bus billing type and the vehicle information of the target vehicle does not meet the second preset condition, judging whether the target vehicle meets other bus billing types or not according to the remaining vehicle information of the target vehicle.
Optionally, the other passenger car charging type is one of a second-class passenger car charging type, a third-class passenger car charging type and a fourth-class passenger car charging type.
As shown in fig. 5, it shows a schematic algorithm flow diagram of the billing type identification system. The above steps 406 to 411 are further described with reference to fig. 5.
The first preset condition is that the target vehicle is a truck (the first preset condition is set according to a model used for identifying the truck after training), if so, the charging type corresponding to the target vehicle is a truck charging type, and if not, the charging type corresponding to the target vehicle is a passenger car charging type.
In one example, corresponding to the determination logic of fig. 5, the second preset condition may be that the color of the vehicle head license plate is not yellow (including not yellow and yellow-green).
When the charging type corresponding to the target vehicle is the truck charging type, the charging type of the target vehicle can be further identified according to a second preset condition; if the number of the axles is 2, the charging type corresponding to the target vehicle is subdivided into two types of truck charging types, if the number of the axles is 4, the charging type corresponding to the target vehicle is subdivided into four types of truck charging types, and the like.
When the charging type corresponding to the target vehicle is the passenger car charging type, the charging type of the target vehicle can be further identified according to a second preset condition; if the charging type corresponding to the target vehicle is subdivided into one class of passenger car charging types, if not, the next step of identification is carried out according to the vehicle information, if the target vehicle is judged to be a large passenger car (the charging type is judged to be a model used for identifying the large passenger car after training), if the charging type corresponding to the target vehicle is subdivided into three classes of passenger car charging types, if not, the next step of identification is carried out according to the residual vehicle information, if the target vehicle is judged to be a double-deck passenger car (the charging type is judged to be a model used for identifying the double-deck passenger car after training), if the charging type corresponding to the target vehicle is subdivided into four classes of passenger car charging types, and if the conditions are not met, the charging type corresponding to the target vehicle is subdivided into two classes of passenger car charging types.
And step 412, in response to the target vehicle driving out from the high-speed exit, obtaining the associated camera information according to the camera information transmitted from each portal frame.
And 413, acquiring timestamp information of the target vehicle passing each portal frame according to the running video information included in the associated camera information.
And step 414, acquiring the geographical position information of the target vehicle passing through each portal frame according to the portal frame information included in the associated camera information.
And 415, generating a target running track corresponding to the target vehicle according to the timestamp information and the geographical position information of each portal frame.
And step 416, calculating target vehicle charging information of the target vehicle according to the target charging type and the target running track.
In one example, the driving information of the target vehicle entering from the high-speed entrance and exiting from the high-speed exit is shown in table one.
Watch 1
The target charging type determined by the target vehicle is three types of trucks, and the corresponding unit price of the road fee is 0.5 yuan/kilometer; the terminal determines that the target vehicle travels 80 kilometers from the portal frame A to the portal frame B and travels 100 kilometers from the portal frame B to the portal frame C according to the target travel track; the highway fee for driving from the portal frame a to the portal frame B is 40 yuan, and the highway fee for driving from the portal frame B to the portal frame C is 50 yuan, and the target vehicle charging information is 90 yuan.
In the embodiment of the application, on the basis of the embodiment, the algorithm related to the charging type identification system is explained, and the target charging type of the target vehicle is determined in a hierarchical identification and judgment mode, so that the accuracy of the terminal in judging the charging type is further improved.
In the actual process of acquiring the camera information, there are scenes that the vehicle is blocked and the traffic is congested, and the charging type cannot be accurately identified based on the method provided by the embodiment. In one possible implementation, please refer to fig. 6, which shows a flowchart of a highway billing method according to another exemplary embodiment of the present application, which can be used after the method according to the above embodiments, and the method includes:
The manual review prompt is used for prompting a technician to judge the target charging type and determine the target driving track in a manual mode according to the camera information of the target vehicle.
In the embodiment of the application, the manual rechecking prompt is generated through the terminal, so that technicians can carry out rechecking work in time, and the accuracy of judging the charging type and determining the driving track is improved.
Referring to fig. 7, a block diagram of a highway billing device according to an embodiment of the present application is shown. The apparatus may be implemented as all or part of a computer device in software, hardware, or a combination of both. The device can carry out the information interaction with the portal frame, and the device is installed charging type identification system, and the device includes:
the information receiving module 701 is used for receiving camera shooting information transmitted from at least one portal frame passing backwards from a high-speed entrance in the running process of a target vehicle, wherein the camera shooting information comprises running video information and portal frame information of the target vehicle in a target camera shooting area;
a figure construction module 702, configured to construct a target vehicle figure corresponding to the target vehicle according to the camera information, where the target vehicle figure includes attribute information and environmental information of the target vehicle;
a result output module 703, configured to input the target vehicle representation into the charging type identification system to obtain a system target identification result, where the target identification result is used to indicate a target charging type corresponding to the target vehicle, and the target identification result is determined according to attribute information of the target vehicle;
a track generating module 704, configured to generate a target driving track corresponding to the target vehicle according to associated camera information in response to the target vehicle driving out from a high-speed exit, where the associated camera information is camera information transmitted from all gantries through which the target vehicle passes between the high-speed entrance and the high-speed exit;
and a charging calculation module 705, configured to calculate target vehicle charging information of the target vehicle according to the target charging type and the target driving trajectory.
Optionally, the sketch constructing module 702 includes:
the first construction unit is used for acquiring attribute information of the target vehicle according to the running video information, wherein the attribute information comprises running lane information, license plate information, vehicle information and timestamp information of the target vehicle;
the second construction unit is used for acquiring the environmental information of the target vehicle according to the portal frame information, wherein the environmental information comprises the geographical position information of the target vehicle;
and the third construction unit is used for constructing a target vehicle portrait corresponding to the target vehicle according to the attribute information and the environment information of the target vehicle.
Optionally, the vehicle information includes brand information, color information, vehicle body type, vehicle length, number of axles, and number of windows;
optionally, the result output module 703 includes:
a first output unit for inputting the target vehicle representation into the billing type identification system;
the second output unit is used for responding that the vehicle information of the target vehicle meets a first preset condition, and the system target identification result indicates that the target vehicle is of a freight charging type;
and the third output unit is used for responding that the vehicle information of the target vehicle does not meet the first preset condition, and the system target identification result indicates that the target vehicle is of a passenger car charging type.
Optionally, the result output module 703 further includes:
a fourth output unit, configured to respond to that the target vehicle is the truck charging type and vehicle information of the target vehicle satisfies a second preset condition, where the system target identification result indicates that the target vehicle is a type of truck charging type, the second preset condition is set according to at least one of the brand information, the color information, the vehicle body type, the vehicle length, the number of axles, and the number of windows in the vehicle information, and the second preset condition is different from the first preset condition;
and a fifth output unit, configured to, in response to that the target vehicle is the truck charging type and that the vehicle information of the target vehicle does not satisfy the second preset condition, determine whether the target vehicle satisfies other truck charging types according to the axle number of the target vehicle, where the other truck charging types are one of a second-type truck charging type, a third-type truck charging type, a fourth-type truck charging type, a fifth-type truck charging type, and a sixth-type truck charging type.
Optionally, the result output module 703 further includes:
a sixth output unit, configured to respond to that the target vehicle is the bus charging type and that vehicle information of the target vehicle meets the second preset condition, where the system target identification result indicates that the target vehicle is a class-one bus charging type;
and the seventh output unit is used for responding to the fact that the target vehicle is the passenger car charging type and the vehicle information of the target vehicle does not meet the second preset condition, judging whether the target vehicle meets other passenger car charging types or not according to the residual vehicle information of the target vehicle, wherein the other passenger car charging types are one of a second passenger car charging type, a third passenger car charging type and a fourth passenger car charging type.
Optionally, the trajectory generating module 704 includes:
the first generation unit is used for obtaining the associated camera shooting information according to the camera shooting information transmitted from each portal frame;
the second generation unit is used for acquiring timestamp information of the target vehicle passing through each portal frame according to the running video information included in the associated camera shooting information;
a third generating unit, configured to obtain geographic position information of the target vehicle passing through each gantry according to gantry information included in the associated shooting information;
and the fourth generating unit is used for generating a target running track corresponding to the target vehicle according to the timestamp information and the geographical position information of each portal frame.
Optionally, the apparatus further comprises:
and the prompt generation module is used for responding to the fact that part or all of the area of the target vehicle is shielded, and generating a manual review prompt which is used for prompting a technician to judge the target charging type and determine the target driving track in a manual mode according to the camera information of the target vehicle.
Referring to fig. 8, a block diagram of a terminal 100 according to an exemplary embodiment of the present application is shown. The terminal 100 may be an electronic device, such as a smart phone, a tablet computer, an electronic book, a portable personal computer, etc., in which an application program is installed and operated and which is provided with a billing type recognition system. The terminal 100 in the present application may include one or more of the following components: a processor 101, a memory 102 and a screen 103.
The Memory 102 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 102 includes a non-transitory computer-readable medium. The memory 102 may be used to store instructions, programs, code sets, or instruction sets. The memory 102 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, and the like), instructions for implementing the above method embodiments, and the like, and the operating system may be an Android (Android) system (including a system based on Android system depth development), an IOS system developed by apple inc (including a system based on IOS system depth development), or other systems. The storage data area may also store data created by the terminal 100 in use, such as a phonebook, audio-video data, chat log data, and the like.
The screen 103 may be a touch display screen for receiving a touch operation of a user thereon or nearby using any suitable object such as a finger, a touch pen, or the like, and displaying a user interface of each application. The touch display screen is generally provided at a front panel of the terminal 100. The touch display screen may be designed as a full-face screen, a curved screen, or a profiled screen. The touch display screen can also be designed to be a combination of a full-face screen and a curved-face screen, and a combination of a special-shaped screen and a curved-face screen, which is not limited in the embodiment of the present application.
In addition, those skilled in the art will appreciate that the configuration of terminal 100 as illustrated in the above-described figures is not intended to be limiting of terminal 100, and that terminals may include more or less components than those illustrated, or some components may be combined, or a different arrangement of components. For example, the terminal 100 further includes a radio frequency circuit, a shooting component, a sensor, an audio circuit, a Wireless Fidelity (WiFi) component, a power supply, a bluetooth component, and other components, which are not described herein again.
The embodiment of the present application further provides a computer-readable medium, which stores at least one instruction, where the at least one instruction is loaded and executed by the processor to implement the highway billing method according to the above embodiments.
The embodiment of the present application further provides a computer program product, where at least one instruction is stored, and the at least one instruction is loaded and executed by the processor to implement the highway charging method according to the above embodiments.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in the embodiments of the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A highway charging method is characterized in that the method is used for a terminal for information interaction with a portal frame, the terminal is provided with a charging type identification system, and the method comprises the following steps:
in the running process of a target vehicle, receiving camera information transmitted from at least one portal frame passing backwards from a high-speed entrance, wherein the camera information comprises running video information and portal frame information of the target vehicle in a target camera area;
constructing a target vehicle portrait corresponding to the target vehicle according to the camera shooting information, wherein the target vehicle portrait comprises attribute information and environment information of the target vehicle;
inputting the target vehicle image into the charging type identification system to obtain a system target identification result, wherein the target identification result is used for indicating a target charging type corresponding to the target vehicle, and the target identification result is determined according to attribute information of the target vehicle;
responding to the fact that the target vehicle runs out of a high-speed exit, and generating a target running track corresponding to the target vehicle according to associated camera information, wherein the associated camera information is camera information transmitted by all portal frames passing between the high-speed entrance and the high-speed exit of the target vehicle;
and calculating target vehicle charging information of the target vehicle according to the target charging type and the target driving track.
2. The method of claim 1, wherein said constructing a target vehicle representation corresponding to said target vehicle based on said camera information comprises:
acquiring attribute information of the target vehicle according to the running video information, wherein the attribute information comprises running lane information, license plate information, vehicle information and timestamp information of the target vehicle;
acquiring environment information of the target vehicle according to the portal frame information, wherein the environment information comprises geographical position information of the target vehicle;
and constructing a target vehicle portrait corresponding to the target vehicle according to the attribute information and the environment information of the target vehicle.
3. The method of claim 2, wherein the vehicle information includes brand information, color information, body type, length, number of axles, and number of windows;
inputting the target vehicle portrait into the charging type identification system to obtain a system target identification result, wherein the method comprises the following steps:
inputting the target vehicle representation into the billing type identification system;
responding to that vehicle information of the target vehicle meets a first preset condition, wherein the system target identification result indicates that the target vehicle is of a truck billing type, and the first preset condition is set according to at least one of the brand information, the color information, the vehicle body type, the vehicle length, the number of axles and the number of windows in the vehicle information;
and responding to the fact that the vehicle information of the target vehicle does not meet the first preset condition, and indicating that the target vehicle is of the passenger car charging type by the system target identification result.
4. The method of claim 3, wherein said inputting said target vehicle representation into said billing type identification system resulting in a system target identification further comprises:
responding to that the target vehicle is the truck charging type and vehicle information of the target vehicle meets a second preset condition, wherein the system target identification result indicates that the target vehicle is a class of truck charging type, the second preset condition is set according to at least one of brand information, color information, vehicle body type, vehicle length, the number of axles and the number of windows in the vehicle information, and the second preset condition is different from the first preset condition;
and in response to that the target vehicle is the truck charging type and the vehicle information of the target vehicle does not meet the second preset condition, judging whether the target vehicle meets other truck charging types according to the number of axles of the target vehicle, wherein the other truck charging types are one of a second truck charging type, a third truck charging type, a fourth truck charging type, a fifth truck charging type and a sixth truck charging type.
5. The method of claim 3, wherein said inputting said target vehicle representation into said billing type identification system resulting in a system target identification further comprises:
responding to the fact that the target vehicle is the passenger car charging type and the vehicle information of the target vehicle meets the second preset condition, and indicating that the target vehicle is a class of passenger car charging type by the system target identification result;
and in response to that the target vehicle is the passenger car charging type and the vehicle information of the target vehicle does not meet the second preset condition, judging whether the target vehicle meets other passenger car charging types according to the residual vehicle information of the target vehicle, wherein the other passenger car charging types are one of a second passenger car charging type, a third passenger car charging type and a fourth passenger car charging type.
6. The method according to any one of claims 2 to 5, wherein generating a target travel track corresponding to the target vehicle based on the associated camera information includes:
obtaining the associated camera shooting information according to the camera shooting information transmitted from each portal frame;
acquiring timestamp information of the target vehicle passing through each portal frame according to the running video information included in the associated camera information;
acquiring geographical position information of the target vehicle passing through each portal frame according to portal frame information included in the associated camera information;
and generating a target running track corresponding to the target vehicle according to the timestamp information and the geographical position information of each portal frame.
7. The method of any of claims 2 to 5, further comprising:
and generating a manual review prompt in response to the fact that a part of or all of the area of the target vehicle is shielded, wherein the manual review prompt is used for prompting a technician to judge the target charging type and determine the target driving track in a manual mode according to the camera information of the target vehicle.
8. The utility model provides a highway charging device which characterized in that, the device can carry out information interaction with the portal frame, the device is installed and is charged type identification system, the device includes:
the information receiving module is used for receiving camera shooting information transmitted from at least one portal frame passing backwards from a high-speed entrance in the running process of a target vehicle, wherein the camera shooting information comprises running video information and portal frame information of the target vehicle in a target camera shooting area;
the image construction module is used for constructing a target vehicle image corresponding to the target vehicle according to the camera information, and the target vehicle image comprises attribute information and environment information of the target vehicle;
the result output module is used for inputting the target vehicle portrait into the charging type identification system to obtain a system target identification result, the target identification result is used for indicating a target charging type corresponding to the target vehicle, and the target identification result is determined according to the attribute information of the target vehicle;
the track generation module is used for responding to the fact that the target vehicle drives out of the high-speed exit, and generating a target driving track corresponding to the target vehicle according to associated camera information, wherein the associated camera information is camera information transmitted by all portal frames passing between the high-speed entrance and the high-speed exit of the target vehicle;
and the charge calculation module is used for calculating the target vehicle charge information of the target vehicle according to the target charging type and the target running track.
9. A terminal, characterized in that the terminal comprises a processor and a memory; the memory stores at least one instruction for execution by the processor to implement a highway billing method according to any of claims 1-7.
10. A computer-readable storage medium having stored thereon at least one instruction for execution by a processor to implement a highway billing method according to any of claims 1-7.
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| CN202010918910.3A CN112002027A (en) | 2020-09-04 | 2020-09-04 | Highway charging method, device, terminal and storage medium |
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| CN202010918910.3A CN112002027A (en) | 2020-09-04 | 2020-09-04 | Highway charging method, device, terminal and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112712707A (en) * | 2020-12-26 | 2021-04-27 | 清华四川能源互联网研究院 | Vehicle carbon emission monitoring system and method |
| CN112884924A (en) * | 2021-01-08 | 2021-06-01 | 北京万集科技股份有限公司 | Expressway non-stop toll collection method, system and storage medium |
| CN114022965A (en) * | 2021-11-03 | 2022-02-08 | 昭通亮风台信息科技有限公司 | Method and system for tracking track of vehicle running on expressway |
| CN114120461A (en) * | 2021-12-02 | 2022-03-01 | 北京中交兴路车联网科技有限公司 | Charging method and device based on electronic fence |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1197255A (en) * | 1997-04-18 | 1998-10-28 | 三星电子株式会社 | Apparatus for determining vehicle class and method therefor |
| CN103413439A (en) * | 2013-07-30 | 2013-11-27 | 长安大学 | Method for sorting passenger vehicles and goods vehicles based on videos |
| CN103794056A (en) * | 2014-03-06 | 2014-05-14 | 北京卓视智通科技有限责任公司 | Vehicle type accurate classification system and method based on real-time double-line video stream |
| CN104574540A (en) * | 2014-12-24 | 2015-04-29 | 北京速通科技有限公司 | Electronic toll collection system and method |
| CN105488857A (en) * | 2016-01-06 | 2016-04-13 | 北京卓视智通科技有限责任公司 | Vehicle fee collection management system |
| CN106251414A (en) * | 2016-07-22 | 2016-12-21 | 上海市政工程设计研究总院（集团）有限公司 | Highway toll collection system based on recognition of face |
| CN106530427A (en) * | 2016-12-28 | 2017-03-22 | 湖北工业大学 | Toll collection method and system of automobile toll station |
| CN106846517A (en) * | 2017-02-15 | 2017-06-13 | 江苏安防科技有限公司 | A kind of expressway tol lcollection method based on Path Recognition |
| CN106875500A (en) * | 2017-02-14 | 2017-06-20 | 山东华昱交通科技有限公司 | A kind of highway is without the not parking comprehensive Fare Collection System of card and method |
| CN106991725A (en) * | 2017-03-02 | 2017-07-28 | 上海市城市建设设计研究总院（集团）有限公司 | Region freeway net vehicle running path analytical equipment and analysis method |
| CN108320339A (en) * | 2018-02-01 | 2018-07-24 | 斑马网络技术有限公司 | For the method, apparatus of vehicle charging, equipment, system and storage medium |
-
2020
- 2020-09-04 CN CN202010918910.3A patent/CN112002027A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1197255A (en) * | 1997-04-18 | 1998-10-28 | 三星电子株式会社 | Apparatus for determining vehicle class and method therefor |
| CN103413439A (en) * | 2013-07-30 | 2013-11-27 | 长安大学 | Method for sorting passenger vehicles and goods vehicles based on videos |
| CN103794056A (en) * | 2014-03-06 | 2014-05-14 | 北京卓视智通科技有限责任公司 | Vehicle type accurate classification system and method based on real-time double-line video stream |
| CN104574540A (en) * | 2014-12-24 | 2015-04-29 | 北京速通科技有限公司 | Electronic toll collection system and method |
| CN105488857A (en) * | 2016-01-06 | 2016-04-13 | 北京卓视智通科技有限责任公司 | Vehicle fee collection management system |
| CN106251414A (en) * | 2016-07-22 | 2016-12-21 | 上海市政工程设计研究总院（集团）有限公司 | Highway toll collection system based on recognition of face |
| CN106530427A (en) * | 2016-12-28 | 2017-03-22 | 湖北工业大学 | Toll collection method and system of automobile toll station |
| CN106875500A (en) * | 2017-02-14 | 2017-06-20 | 山东华昱交通科技有限公司 | A kind of highway is without the not parking comprehensive Fare Collection System of card and method |
| CN106846517A (en) * | 2017-02-15 | 2017-06-13 | 江苏安防科技有限公司 | A kind of expressway tol lcollection method based on Path Recognition |
| CN106991725A (en) * | 2017-03-02 | 2017-07-28 | 上海市城市建设设计研究总院（集团）有限公司 | Region freeway net vehicle running path analytical equipment and analysis method |
| CN108320339A (en) * | 2018-02-01 | 2018-07-24 | 斑马网络技术有限公司 | For the method, apparatus of vehicle charging, equipment, system and storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112712707A (en) * | 2020-12-26 | 2021-04-27 | 清华四川能源互联网研究院 | Vehicle carbon emission monitoring system and method |
| CN112884924A (en) * | 2021-01-08 | 2021-06-01 | 北京万集科技股份有限公司 | Expressway non-stop toll collection method, system and storage medium |
| CN112884924B (en) * | 2021-01-08 | 2023-08-04 | 北京万集科技股份有限公司 | High-speed lane no-stop charging method, system and storage medium |
| CN114022965A (en) * | 2021-11-03 | 2022-02-08 | 昭通亮风台信息科技有限公司 | Method and system for tracking track of vehicle running on expressway |
| CN114120461A (en) * | 2021-12-02 | 2022-03-01 | 北京中交兴路车联网科技有限公司 | Charging method and device based on electronic fence |
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Application publication date: 20201127 |