CN113674442B

CN113674442B - Non-inductive passing method, device, electronic equipment and computer readable storage medium

Info

Publication number: CN113674442B
Application number: CN202110703581.5A
Authority: CN
Inventors: 苗亮亮; 冯勇; 李园; 李�雨; 黄鑫辰
Original assignee: Tianyi Cloud Technology Co Ltd
Current assignee: Tianyi Cloud Technology Co Ltd
Priority date: 2021-06-24
Filing date: 2021-06-24
Publication date: 2023-06-23
Anticipated expiration: 2041-06-24
Also published as: CN113674442A

Abstract

The present disclosure provides a non-inductive pass method, apparatus, electronic device, and computer-readable storage medium. The non-inductive passing method comprises the following steps: the image acquisition equipment acquires an image of a target vehicle to obtain an image of the target vehicle; an image processing device performs image processing on the target vehicle image to obtain vehicle characteristic information of the target vehicle; the fee deduction equipment determines fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information; the fee deduction equipment determines the fee to be paid of the target vehicle according to the fee-related information; the fee deducting equipment automatically deducts fees from the target vehicle through the fee deducting channel according to the to-be-paid fee; and if the target vehicle is determined to be successfully deducted, the target vehicle passes through a non-inductive passing outlet without a toll bar. According to the technical scheme provided by the embodiment, the vehicles can be guaranteed not to pass through the non-inductive passing outlet in a decelerating manner, so that the congestion at the passing outlet position is reduced.

Description

Non-inductive passing method, device, electronic equipment and computer readable storage medium

Technical Field

The disclosure relates to the technical field of computers and the internet, and in particular relates to a non-inductive passing method and device, electronic equipment and a computer readable storage medium.

Background

The current expressway toll collection scheme is based on an electronic tag mode, a mode based on face and license plate recognition and the like. Based on the electronic tag mode, the vehicle needs to be provided with a tag in advance and charge is carried out at the toll gate, so that the vehicle needs to pass through in a decelerating mode, and the vehicle passes through the lifting rod after the toll is successfully deducted. Based on the face recognition method, if the driver is replaced during the course due to a rest of the driver or the like, the fee deduction is abnormal.

In the high-speed running process of the vehicle, the face recognition is carried out on the driver in the vehicle, and recognition failure is easy to occur due to the problems of poor accuracy and the like. Especially at night, face recognition is difficult to use due to the influence of a headlight. The scheme based on the license plate recognition mode has not been proposed for vehicles with unsuccessful fee deduction or vehicles which are not willing to accept a non-inductive fee deduction mode.

Therefore, there is a need to invent a non-inductive toll guiding scheme for canceling a toll bar of a highway.

It should be noted that the information disclosed in the foregoing background section is only for enhancing understanding of the background of the present disclosure.

Disclosure of Invention

The present disclosure is directed to a non-inductive passing method, apparatus, electronic device, and computer-readable storage medium, which can make a target vehicle pass through a non-inductive passing exit without inductive passing, and can make a successful fee deduction for the target vehicle.

Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.

The embodiment of the disclosure provides a non-inductive passing method, which comprises the following steps: the image acquisition equipment acquires an image of a target vehicle to obtain an image of the target vehicle; an image processing device performs image processing on the target vehicle image to obtain vehicle characteristic information of the target vehicle; the fee deduction equipment determines fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information; the fee deduction equipment determines the fee to be paid of the target vehicle according to the fee-related information; the fee deducting equipment automatically deducts fees from the target vehicle through the fee deducting channel according to the to-be-paid fee; and if the target vehicle is determined to be successfully deducted, the target vehicle passes through a non-inductive passing outlet without a toll bar.

In some embodiments, the fee deduction channel comprises an electronic toll collection ETC fee deduction channel and a target fee deduction channel, and the vehicle characteristic information comprises non-inductive traffic information; wherein, the deduction equipment carries out automatic deduction on the target vehicle through the deduction channel according to the to-be-paid fee, and the method comprises the following steps: the fee deduction equipment automatically deducts fees from the target vehicle through the ETC fee deduction channel according to the to-be-paid fee; if the deduction of the fee to the target vehicle through the ETC deduction channel fails, determining the target deduction channel provided by the target vehicle according to the non-inductive passing information by the fee deduction equipment; and the fee deducting equipment automatically deducts fees from the target vehicle through the target fee deducting channel according to the to-be-paid fee.

In some embodiments, the method further comprises: determining that the payment of the target vehicle is unsuccessful, and guiding the target vehicle to a target rod charging lane through at least one guide screen so as to enable the target vehicle to pay; or, according to the vehicle characteristic information, the target vehicle is counted into an abnormal list so that the target vehicle can carry out fee compensation.

In some embodiments, the vehicle characteristic information is acquired by the image acquisition device at a first distance from the non-inductive traffic exit, the at least one guidance screen comprising a target guidance screen; wherein, guide the said target vehicle to the target has pole charging lane in order to pay through at least one guide screen, including: determining target position information of the target vehicle at a second distance from the non-inductive passing exit; determining a target lane where the target vehicle and the non-inductive passing exit are located at a second distance from each other according to the target position information, wherein the second distance is smaller than the first distance; and guiding the target vehicle through the target guide screen on the target lane.

In some embodiments, determining target location information for the target vehicle at a second distance location from the non-inductive pass-through exit comprises: acquiring position information, vehicle speed information and headway information of the target vehicle at the first distance position; processing position information, vehicle speed information and headway information of the target vehicle at the first distance position through a position prediction neural network to determine target position information of the target vehicle at the second distance position.

In some embodiments, the target vehicle image comprises at least two vehicle images, each target vehicle image being acquired at a corresponding target instant; wherein acquiring vehicle speed information of the target vehicle at the first distance location includes: acquiring image position information of the target vehicle in each target vehicle image; determining actual position information of the target vehicle at each target moment according to the image position information of the target vehicle in each target vehicle image; and determining the vehicle speed information of the target vehicle at the first distance position according to the actual position information of the target vehicle at each target moment.

In some embodiments, the actual location information is used to describe an actual distance of the target vehicle from the non-inductive transit exit; wherein determining vehicle speed information of the target vehicle at the first distance position according to actual position information of the target vehicle at each target time comprises: acquiring lane information of the target vehicle in each target vehicle image; determining vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position according to actual position information of the target vehicle at each target moment and the lane information; vehicle speed information of the target vehicle at the first distance location is determined from the vehicle speed scalar information and the vehicle speed vector information.

The embodiment of the disclosure provides a non-inductive passing system, comprising: the system comprises an image acquisition device, a fee deducting device, a non-inductive passing control device and at least one guide screen.

The image acquisition equipment is arranged at a first distance position from the non-inductive passing outlet and is used for acquiring images of target vehicles to obtain target vehicle images, and performing image processing on the target vehicle images to obtain vehicle characteristic information of the target vehicles.

The fee deduction device is arranged at a first distance from the non-inductive passing outlet and is used for determining fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information; the method is also used for determining the to-be-paid fee of the target vehicle according to the fee-related information; and the automatic fee deduction device is also used for automatically deducting fee from the target vehicle through the fee deduction channel according to the fee to be paid.

And the non-inductive passing control equipment is used for determining that the target vehicle deducts fees successfully, and the target vehicle passes through a non-inductive passing outlet without a toll bar.

And the at least one guide screen is arranged between the non-inductive passing outlet and a second distance away from the non-inductive passing outlet and is used for guiding the target vehicle to a target rod toll lane so that the target vehicle can pay when the non-inductive passing control equipment determines that the target vehicle is unsuccessful in paying.

The non-inductive passing control equipment is also used for charging the target vehicle into an abnormal list according to the vehicle characteristic information when the target vehicle is unsuccessful in charging through the charging equipment and the target vehicle is not charged through the rod charging lane, so that the target vehicle can charge for the fee.

The embodiment of the disclosure provides an electronic device, which comprises: one or more processors; and a storage device for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method of non-inductive passing of any of the above.

The presently disclosed embodiments provide a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a non-inductive passing method as set forth in any of the above.

Embodiments of the present disclosure propose a computer program product or a computer program comprising computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions so that the computer device performs the above-described non-inductive passing method.

According to the non-inductive passing method, the non-inductive passing device, the electronic equipment and the computer readable storage medium, on one hand, accurate and convenient fee deduction on the target vehicle is realized under the combined operation of the image processing equipment and the fee deduction equipment; on the other hand, the target vehicle can pass through the non-inductive passing outlet in a non-inductive manner while the fee deduction is completed on the target vehicle, so that the passing speed of the target vehicle is increased, and further, the congestion condition at the position of the non-inductive passing outlet is avoided.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.

Fig. 1 shows a schematic diagram illustrating a non-inductive passing system, according to an exemplary embodiment.

Fig. 2 is a flow chart illustrating a method of non-inductive passing according to an exemplary embodiment.

Fig. 3 is a flow chart illustrating a method of non-inductive passing according to an exemplary embodiment.

Fig. 4 is a flow chart illustrating a vehicle guidance method according to an exemplary embodiment.

FIG. 5 is a flowchart illustrating a method of determining target location information for a target vehicle, according to an example embodiment.

Fig. 6 is a flow chart illustrating a method of non-inductive passing according to an exemplary embodiment.

Fig. 7 is a flow chart of step S614 in fig. 6 in an exemplary embodiment.

Fig. 8 is a flow chart of step S616 in fig. 6 in an exemplary embodiment.

Fig. 9 shows a schematic structural diagram of an electronic device suitable for use in implementing embodiments of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.

The described features, structures, or characteristics of the disclosure may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will recognize that the aspects of the present disclosure may be practiced with one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.

The drawings are merely schematic illustrations of the present disclosure, in which like reference numerals denote like or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

The flow diagrams depicted in the figures are exemplary only, and not necessarily all of the elements or steps are included or performed in the order described. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.

In the present specification, the terms "a," "an," "the," "said" and "at least one" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising," "including," and "having" are intended to be inclusive and mean that there may be additional elements/components/etc., in addition to the listed elements/components/etc.; the terms "first," "second," and "third," etc. are used merely as labels, and do not limit the number of their objects.

The following describes example embodiments of the present disclosure in detail with reference to the accompanying drawings.

In some embodiments, a non-inductive communication system may include: an image acquisition device (e.g., a camera as shown in fig. 1), a fee deduction device (e.g., a fee deduction system as shown in fig. 1), a non-inductive pass control device (not shown in fig. 1), at least one guidance screen (e.g., a guidance redundancy system as shown in fig. 1).

The image acquisition device can be arranged at a first distance from the non-inductive passing outlet and used for acquiring images of target vehicles to obtain target vehicle images, and performing image processing on the target vehicle images to obtain vehicle characteristic information of the target vehicles.

The image capturing device may be any device that can capture an image, such as the camera shown in fig. 1, to which the present disclosure is not limited.

The first distance location may be, for example, a location 200-400 meters from the non-inductive passing outlet, which may be set by a person skilled in the art according to actual requirements.

The fee deducting device may be a device that may be used to deduct fee, for example, a fee collecting device corresponding to an electronic toll collection system ETC, a fee collecting device corresponding to a certain bank card, or a payment device corresponding to a certain third party payment software (for example, a certain treasury, a certain letter), which is not limited in this disclosure.

The non-inductive passing control device may be a device for controlling the non-inductive passing system, and the non-inductive passing device may be a computer, a notebook, a server, etc., which is not limited in this disclosure.

It can be understood that the functions corresponding to the non-inductive passing control device, the fee deducting device and the image acquisition device can be integrated on the same device or can be completed on different devices, and the disclosure is not limited thereto.

In some embodiments, accurate and convenient fee deduction for the target vehicle is realized under the combined operation of the image processing equipment and the fee deduction equipment; on the other hand, the target vehicle can pass through the non-inductive passing outlet in a non-inductive manner while the fee deduction is completed on the target vehicle, so that the passing speed of the target vehicle is increased, and further, the congestion condition at the position of the non-inductive passing outlet is avoided.

The guide screen may be an LED screen, a liquid crystal screen, or the like, and any screen that can guide the vehicle may be the guide screen, which is not limited by the present disclosure.

In some embodiments, the second distance location may be located between the non-inductive pass-through exit and the first distance location.

The non-inductive passing control device can also be used for charging the target vehicle into an abnormal list according to the vehicle characteristic information when the target vehicle is not successfully charged through the charging device and the target vehicle is not charged through the charging lane with the rod, so that the target vehicle can charge for charge.

In some embodiments, the above-mentioned non-inductive passing system can be applied in front of the highway toll station to complete the payment operation of the vehicle on the highway.

As shown in fig. 1, an image acquisition device may be installed at a specific detection section S1 at a first distance position before a vehicle exits a toll gate (i.e., a non-inductive passing exit), for example, 600-800 meters in advance, and then information acquisition may be performed on the vehicle using the image acquisition device. The image acquisition equipment comprises a camera, a snapshot machine, microwaves and other acquisition equipment.

In some embodiments, the fee deduction device may be installed at a particular fee deduction section (e.g., at a first distance from the non-inductive communication exit), such as 600-800 meters in advance, before the vehicle exits the toll booth (i.e., the non-inductive traffic exit). The device can be arranged on a same portal or an L-shaped frame and other supports where the image acquisition device is arranged.

In some embodiments, the image acquisition device and the fee deduction device may be installed in advance of the toll booth because if the fee deduction is unsuccessful without sense, a manual fee deduction may be made in some lanes at the toll booth.

In some embodiments, the auxiliary image acquisition device may be installed on a specific detection road section in front of the image acquisition device, such as a road side or a gantry, an L-frame, etc. at 100 meters, 200 meters, 300 meters, 400 meters, etc. in front of the image acquisition device, including a camera, a snapshot machine, etc. The purpose of installing auxiliary image equipment is to prevent the image acquisition equipment at the S1 position (namely the first distance position) from detecting license plate information, and the license plate and vehicle characteristic information of the previous section can be considered to be complemented, so that the system applicability is improved.

In some embodiments, at least one guide screen (e.g., electronic screen), such as the guide system and guide redundancy system of fig. 1, may be installed at a particular guide section before the vehicle exits the toll booth, such as 20-30 meters after the toll fee deduction, which may be distributed on different lanes, each of which may be distributed one guide screen at a distance, without limitation to the present disclosure.

The present disclosure may install a multi-level guidance screen to prevent a guidance driver from not paying attention at a time. The guiding device is installed at a certain distance after fee deduction, because the noninductive passing control device needs time for calculating and issuing instructions, and the problem of time difference can be solved by staggered installation.

The non-inductive passing technical scheme provided by the disclosure can be applied to any intersection needing to carry out charging operation, such as a highway toll gate, a parking lot toll gate and the like, and the disclosure will be described by taking the highway toll gate as an example, but the disclosure is not limited thereto.

Before implementing the technical scheme provided by the disclosure, vehicle driving-in information acquisition is required. The vehicle information including license plate, vehicle driving-in station, vehicle type and other fee information and vehicle color, practice marks, annual inspection marks and other vehicle characteristic information can be collected at the entrance of the expressway. The acquisition mode can be a traditional manual mode, a lens shooting mode and the like.

Referring to fig. 2, the non-inductive passing method provided by the embodiment of the present disclosure may include the following steps.

In step S202, the image acquisition device performs image acquisition on the target vehicle to obtain an image of the target vehicle.

In some embodiments, an image acquisition device may be installed at a first distance location from the non-inductive pass-through to image acquire a target vehicle image.

For example, the vehicle may be subjected to information acquisition by an image acquisition device at a specific image detection section before the vehicle exits the toll gate (a non-responsive exit), such as 600-800 meters in front of the toll gate. The image acquisition equipment can comprise a camera, a snapshot machine and the like.

In step S204, the image processing apparatus performs image processing on the target vehicle image to obtain vehicle characteristic information of the target vehicle.

In some embodiments, an algorithm such as inter-frame difference may be used to extract key frames containing vehicle information. And then, carrying out feature extraction on the target vehicle in the key frame to determine the vehicle feature information of the target vehicle.

It should be noted that the target vehicle is not particularly limited to a certain vehicle, and any vehicle identified in the key frame may be the target vehicle.

In some embodiments, the target vehicle image may be image processed using a multi-dimensional information recognition method to identify vehicle static information (i.e., vehicle feature information) on the key frames.

The vehicle characteristic information may include: license plate, vehicle model, vehicle color, practice logo, annual inspection logo and the like, and the present disclosure does not limit this.

And S206, the fee deduction equipment determines fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information.

In some embodiments, after the image capturing device determines the vehicle feature information of the target vehicle, a fee deduction channel preset in advance for the target vehicle may be further determined according to the vehicle feature information, where the fee deduction channel may be, for example, an ETC fee deduction channel, a bank fee deduction channel, or a third party payment software fee deduction channel, which is not limited in the present disclosure.

And step S208, the fee deduction equipment determines the fee to be paid of the target vehicle according to the fee-related information.

In some embodiments, the vehicle characteristic information may include license plate, vehicle type, etc. fee-related information, and the fee deducting device may determine an entry station of the target vehicle according to the license plate, the vehicle type, etc., and then determine a to-be-paid fee of the target vehicle according to the license plate, the vehicle type, the entry station, etc. fee-related information.

And S210, the fee deducting equipment automatically deducts fees from the target vehicle through the fee deducting channel according to the to-be-paid fee.

In some embodiments, the vehicle characteristic information of the target vehicle may further include non-inductive traffic information, where the non-inductive traffic information may be a non-inductive traffic agreement agreed in advance by the target vehicle, and the non-inductive traffic agreement may include not only agreement content agreed to perform non-inductive traffic by the target vehicle, but also fee deduction channel information of the non-inductive traffic provided by the target vehicle.

The target vehicle provided fee deduction channel may include an electronic toll collection ETC fee deduction channel, and may also include a target fee deduction channel, which may include other fee deduction channels other than the non-ETC fee deduction channel, such as a bank fee deduction channel, a fee deduction channel of a third party payment application software, which is not limited in this disclosure.

In some embodiments, the fee deduction device may call a fee charging channel interface of a fee deduction channel corresponding to the target vehicle to deduct fee from the vehicle. For example, the fee deducting device can automatically deduct fee from the target vehicle through the electronic toll collection ETC fee deducting channel according to the fee to be paid; if the deduction of the fee to the target vehicle through the ETC deduction channel fails, determining a target deduction channel provided by the target vehicle according to the non-inductive passing information by the deduction equipment; and the fee deducting equipment automatically deducts fees from the target vehicle through the target fee deducting channel according to the to-be-paid fee.

For example, if the target vehicle is provided with an ETC, the fee deduction device may directly complete the fee deduction operation through the ETC fee deduction system, and if the target vehicle is not provided with an ETC, but agrees to pay fee deduction through a fee deduction interface provided by a certain bank, the fee deduction channel interface of the bank may be called to pay fee to the vehicle.

Step S212, determining that the target vehicle deducts fees successfully, and enabling the target vehicle to pass through a non-inductive passing outlet without a toll bar.

In some embodiments, if the fee deduction for the target vehicle is successful, a short message is sent to the target vehicle to indicate that the fee deduction is successful, and the vehicle can quickly pass through the designated rodless lane.

The traditional high-speed charging mode requires that vehicles stop at a toll station, and long teams are often arranged in front of the high-speed toll station, so that road congestion is caused, and particularly the problem is more remarkable in the off-peak period of the holiday. Even if ETC charges are available, the vehicle owner will still slow down the passage. Through the technical scheme provided by the disclosure, when a target vehicle enters a charging detection road section of a specific distance before a high-speed toll station, the system automatically completes the identification of the vehicle license plate and no-sense fee deduction, and the toll bar of certain bayonets is thoroughly canceled. Guiding vehicles with unsuccessful fee deduction to pass; vehicles with successful fee deduction pass through the designated rodless lane without decelerating to pass through a toll station, so that the passing efficiency is greatly improved, the congestion is reduced, and the vehicle has great social value.

The invention aims to provide a highway non-inductive fee deduction guiding scheme. The lane toll bar is cancelled, the toll deduction failure phenomenon caused by recognition failure and the like is reduced, vehicles can pass through a toll station without decelerating, the passing efficiency is improved, the congestion is reduced, and the travel enthusiasm of people is mobilized.

In some embodiments, the fee deduction device may fail to deduct fee from the target vehicle through the fee deduction channel due to network anomaly, fee deduction account anomaly, and the like. Aiming at the situations of automatic fee deduction failure and the like, the embodiment provides another non-inductive passing scheme.

Referring to fig. 3, the method for non-inductive passing provided in this embodiment may include the following steps.

In step S302, the image acquisition device performs image acquisition on the target vehicle to obtain an image of the target vehicle.

In step S304, the image processing apparatus performs image processing on the target vehicle image to obtain vehicle characteristic information of the target vehicle.

And step S306, the fee deduction equipment determines fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information.

And step S308, the fee deduction equipment determines the fee to be paid of the target vehicle according to the fee-related information.

And step S310, the fee deducting equipment automatically deducts fees from the target vehicle through the fee deducting channel according to the to-be-paid fee.

In some embodiments, the fee deduction channel corresponding to the target vehicle comprises an Electronic Toll Collection (ETC) fee deduction channel and a target fee deduction channel, and the vehicle characteristic information comprises non-inductive traffic information; wherein, the deduction equipment carries out automatic deduction on the target vehicle through the deduction channel according to the to-be-paid fee, and the method comprises the following steps: the fee deduction equipment automatically deducts fees from the target vehicle through the ETC fee deduction channel according to the to-be-paid fee; if the deduction of the fee to the target vehicle through the ETC deduction channel fails, determining the target deduction channel provided by the target vehicle according to the non-inductive passing information by the fee deduction equipment; and the fee deducting equipment automatically deducts fees from the target vehicle through the target fee deducting channel according to the to-be-paid fee.

In some embodiments, ETC portal frames may be employed to deduct fees for vehicles having ETC devices based on vehicle static information; for vehicles without ETC equipment, if the vehicles agree to a non-inductive passing agreement on channels such as APP or official networks in advance, fee deduction is carried out on the appointed payment channels according to the agreement.

Step S312, determining that the target vehicle deducts fees successfully, and enabling the target vehicle to pass through a non-inductive passing outlet without a toll bar.

For a target vehicle with successful deduction, a non-inductive passing link can be entered. I.e. the target vehicle can pass directly through the toll free pole's non-inductive pass-through exit.

Step S314, determining that the payment of the target vehicle is unsuccessful, and guiding the target vehicle to a target rod toll lane through at least one guide screen so as to enable the target vehicle to pay.

For vehicles without ETC, nor agreeing to a no sense of deduction, the vehicle guidance step may be entered. And the vehicle with unsuccessful fee deduction is guided to a designated manual toll gate through a guide screen to pay. Because the vehicle recognizes that the pushing information has a time difference, the vehicle position at the pushing time point is predicted so as to ensure that the vehicle can see the guiding information.

And S316, counting the target vehicle into an abnormal list according to the vehicle characteristic information so that the target vehicle can carry out fee compensation.

In some embodiments, if the fee deduction device fails to deduct fees from a target vehicle (which may be caused by network anomalies and may be caused by insufficient account balances), the present disclosure does not limit the reasons for the fee deduction failure, and the target vehicle does not make fee compensation (e.g., manual fee window payment) on a target rod fee charging lane, the target vehicle is counted into an abnormal list according to the vehicle characteristic information, so that the target vehicle makes fee compensation.

In some embodiments, if the fee deduction device cannot inquire about the fee deduction state due to network abnormality or the like, the vehicle can exit the expressway through the rodless lane, and the system informs the driver whether fee collection is needed or not in a short message mode later.

In other embodiments, for vehicles that do not pay successfully, but travel in a rodless lane, the system counts an abnormal list and the vehicle can pay itself afterwards on a channel such as an APP or a corporate network. Or pay at the next high speed entry.

In summary, the present disclosure provides a highway toll-free guidance scheme. The scheme carries out non-inductive fee deduction and guiding on the vehicle at a specific detection road section before the vehicle exits from the toll gate. A vehicle prediction and guiding scheme based on dynamic prediction of behavior features is provided, and vehicles with unsuccessful deduction are guided. Vehicles can pass through the toll station without decelerating after successful fee deduction, and the effects of improving the passing efficiency and reducing the congestion are achieved.

In some embodiments, the vehicle characteristic information of the target vehicle is acquired by the image acquisition device at a first distance from the non-inductive passing exit, and the at least one guidance screen includes a target guidance screen.

In some embodiments, at least one guidance screen may be installed in the road to guide the target vehicle.

However, a certain time (assuming the certain time is the target time difference) will be required from the fee deduction device completing fee deduction to transmitting the guidance information to the guidance screen, and the target vehicle may have traveled a certain distance during this time. The current position of the target vehicle is the target position information, and the distance between the target position information and the non-inductive passing exit is the second distance position.

It will be appreciated that the speeds of different vehicles at the first distance locations may be different and thus, after the same time difference has elapsed, the second distance locations corresponding to the different vehicles may also be different.

Referring to fig. 4, the above-described vehicle guiding method may include the following steps.

Step S402, determining target location information of the target vehicle at a second distance from the non-inductive passing-out.

In some embodiments, the speed of the target vehicle at the first distance position may be determined according to the target vehicle image acquired by the image acquisition device, the target vehicle is assumed to travel along a straight line within the target time difference, then the travel distance of the target vehicle is determined according to the target time difference, and further the target position information of the target vehicle after the end of the target time difference is determined according to the travel distance of the target vehicle within the target time difference.

In some embodiments, the target location information that the target vehicle reaches after the target time difference is elapsed may be predicted by some method, for example, the target location information of the target vehicle after the target time difference may be predicted by a trained neural network.

For vehicles that do not accept the non-inductive fee deduction protocol or that do not succeed in fee deduction, the vehicles need to be guided to a designated manual toll gate for fee. When a vehicle runs on a highway at a high speed, a time difference exists from the identification of the vehicle to the presentation of guide information to a driver, and the vehicle has already travelled a distance at this time, in order to ensure that the vehicle can see the guide screen information, it is necessary to determine which traffic lane the vehicle is travelling on and push corresponding information onto the guide screen of the traffic lane.

And step S404, determining a target lane where the target vehicle and the non-inductive passing exit are located at a second distance from the target position information, wherein the second distance is smaller than the first distance.

In some embodiments, in order to prevent the target vehicle from not seeing the guiding information and improve the guiding success rate, a guiding screen may be disposed on the lane where the target vehicle is located, so as to guide the target vehicle. The guidance information can be transmitted to the target lane in which the target vehicle is located to complete guidance of the target vehicle.

And step S406, guiding the target vehicle through the target guiding screen on the target lane.

In some embodiments, a target guidance screen may be provided on the target lane at intervals to guide the target vehicle to a designated lane for charging through a manual charging window.

In some embodiments, the target vehicle may change lanes for multiple times from the second distance to the non-inductive passing exit, so as to more accurately and efficiently guide the target vehicle, an image acquisition device may be installed within a distance in front of each target guide screen, and then the lane where the target vehicle is located is determined according to the image information acquired by the image acquisition device, so as to further determine to send the guide information to the guide screen on that lane according to the lane where the target vehicle is located.

In some embodiments, the target vehicle image includes at least two vehicle images, each target vehicle image being acquired at a corresponding target instant.

Step S502, acquiring image position information of the target vehicle in each target vehicle image.

Step S504, determining the actual position information of the target vehicle at each target moment according to the image position information of the target vehicle in each target vehicle image.

In some embodiments, the target vehicle may be accurately determined in the target vehicle image based on the image position information described above.

In some embodiments, the vehicles in each target vehicle image may be processed through a trained neural network to determine the actual location information of the target vehicle at each target time. The actual position information may refer to position information determined by a longitudinal distance of the target vehicle from the non-inductive communication exit, or may be actual position information determined by a longitudinal distance of the target vehicle from the non-inductive communication exit and a lateral distance corresponding to a lane in which the target vehicle is located, which is not limited by the present disclosure.

For example, the neural network may be trained with vehicle images that know the actual distance of the vehicle from the image acquisition device and specific location information of the vehicle in the image. And then processing each target vehicle image by using the trained neural network, so as to obtain the actual distance from the target vehicle to the image acquisition equipment at the target moment.

In other embodiments, lane line recognition may be performed on each target vehicle image to determine a lane position of each vehicle in each target vehicle image, so as to determine a target lane in which the target vehicle is located.

The actual position information of the target vehicle can be determined through the actual distance of the target vehicle from the image acquisition device and the target lane where the target vehicle is located.

Step S506, determining the vehicle speed information of the target vehicle at the first distance position according to the actual position information of the target vehicle at each target moment.

In some embodiments, the target vehicle image is a plurality of vehicle images acquired by the image acquisition device at different times, and the vehicle speed information of the target vehicle at the first distance position can be determined according to the actual position information of the target vehicle in each target vehicle image and in combination with the acquisition time of each target vehicle image.

Step S508, obtaining position information, vehicle speed information, and headway information of the target vehicle at the first distance position.

In some embodiments, the headway may refer to the distance of the target vehicle from a vehicle preceding the target vehicle, which may be determined from the target vehicle image.

Step S510, processing, by a position prediction neural network, position information, vehicle speed information, and headway information of the target vehicle at the first distance position to determine the target position information of the target vehicle at the second distance position.

In some real-time, the actual location information of the target vehicle may be used to describe the actual distance of the target vehicle from the non-inductive traffic outlet, and then the target location information of the corresponding target vehicle may also be used to describe the actual distance of the target vehicle from the non-inductive traffic outlet at the second distance location.

Step S508, obtaining lane information of the target vehicle in each target vehicle image.

In some embodiments, the information of the target vehicle and the corresponding ground score may be identified, and the lane in which the vehicle is located at the time of vehicle identification may be determined.

Step S510 of determining vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position according to actual position information of the target vehicle at each target time and the lane information.

In some embodiments, the target vehicle image is assumed to include a first vehicle image and a second vehicle image, the target time including a first target time and a second target time, the first vehicle image being acquired at the first target time and the second vehicle image being acquired at the second target time.

The vehicle speed scalar information of the target vehicle at the first range location may be determined by the following method.

Determining longitudinal movement information of the target vehicle according to the actual position information of the target vehicle in the first vehicle image and the actual position information of the target vehicle in the second vehicle image; determining lateral movement information of the target vehicle according to the lane information of the target vehicle in the first vehicle image and the lane information of the target vehicle in the second vehicle image; determining a first target time and the second target time to determine a target time difference; the vehicle speed scalar information of the target vehicle at the first range location is determined based on the longitudinal movement information, the lateral movement information, and the target time difference.

In some embodiments, the vehicle speed vector information of the target vehicle at the first distance location may be determined by the following method.

Performing position interpolation on the target vehicle between the first vehicle image and the second vehicle image to determine a target movement track of the target vehicle from the position of the target vehicle in the first vehicle image to the position of the target vehicle in the second vehicle image; and determining the vehicle speed vector information of the target vehicle at the first distance position according to the target moving track.

In fact, to ensure the authenticity of the trajectory, the target vehicle image may be interpolated in time order to determine an overall movement trajectory estimate of the target vehicle, and thus the vehicle speed vector information of the target vehicle at the first distance location.

Step S512 determines vehicle speed information of the target vehicle at the first distance position from the vehicle speed scalar information and the vehicle speed vector information.

According to the technical scheme provided by the embodiment of the disclosure, the vehicle speed information of the target vehicle at the first distance position is accurately and efficiently determined.

Fig. 6 is a flow chart illustrating a method of non-inductive passing according to an exemplary embodiment. Referring to fig. 6, the above-described non-inductive toll method may include the following steps.

Step S602, vehicle entrance information collection.

Vehicle information is collected at the entrance of the expressway, and comprises vehicle characteristic information such as license plates, vehicle entrance stations, vehicle types and the like, vehicle colors, practice marks, annual inspection marks and the like. The acquisition mode can be a traditional manual mode, a lens shooting mode and the like. A unique information identification ID of the vehicle is established. The ID is associated with a license plate number.

Defining a vehicle ID as

Where Vehi is a unique vehicle ID number and i is an integer greater than or equal to 1. feej is fee-related information of the vehicle, such as fee deduction mark, the vehicle enters the station, the vehicle exits the station, the vehicle type, the free vehicle and the like, j is an integer which is more than or equal to 1 and less than or equal to m1, and m1 is the number of the fee-related information. Wherein fee is _ID The fee deduction identification information of the vehicle, such as the identification code of ETC, the fee deduction identification code corresponds to the vehicle one by one, the fee deduction identification code can be a null value, the vehicle enters the station fee1, the vehicle exits the station fee2 as a dynamic information position, and the value of the vehicle exits the station at the current moment is the null fee ₂ ＝Φ。attr _k Is the characteristic information of the vehicle, the license plate number, the color of the vehicle, the brand, the vehicle type, the practice mark, the annual inspection mark and the like, k is an integer which is more than or equal to 1 and less than or equal to m2, m2 is the number of the characteristic information, wherein attr _ID Is a license plate number.

Step S604, collecting information of the exit of the vehicle at the detection point.

And before the vehicle exits the toll gate, the vehicle is subjected to information acquisition by adopting image acquisition equipment at a specific detection road section, such as 600-800 meters in advance. The device comprises a camera, a snapshot machine, a microwave and other acquisition equipment. The outbound information of the station is set to k, which is an integer greater than or equal to 1.

Step S606, detecting point key frame extraction.

And extracting key frames containing vehicle information from continuous pictures acquired by the camera by adopting algorithms such as inter-frame difference and the like, and eliminating vehicle-free pictures and blurred pictures. Ω= (Veh ₁ …Veh _k ) Where Ω is a key frame, veh _k Representing the kth vehicle to be identified in the key frame, wherein k is an integer greater than or equal to 1.

Step S608, detecting point vehicle static information identification.

And identifying vehicle static information on the key frame, wherein the vehicle static information comprises vehicle characteristic information such as license plates, vehicle driving-in stations, vehicle type and the like, vehicle colors, practice marks, annual inspection marks and the like.

This step requires matching the information of the vehicle identification with the traveling information of the vehicle. I.e., to match the unique identification of the vehicle established in step S602.

First, a front-end dynamic library for vehicle fee deduction is established

Traffic information of the vehicle is collected before the non-inductive acquisition device. And (2) carrying out multi-section license plate recognition on the road section in front of the noninductive acquisition equipment, matching all license plate information recognized by each section of cameras with all driving-in information in the step S602, and storing the successfully matched license plate ID into a front-mounted dynamic information base of vehicle fee deduction. If the cameras of multiple stages shoot the same vehicle, the information base is stored only once. The information base is established as follows:

V _i ＝(Veh ₁ …Veh _k ) K is an integer greater than or equal to 1.

Next, a vehicle match is established at the detection point.

The identified vehicle information is set as follows:

setting a threshold epsilon

Wherein the method comprises the steps of

The formula means that if the fee deduction ID or license plate ID can be identified, the vehicle can be identified as V _i Is a vehicle of a vehicle. If the license plate and the fee deduction ID can not be identified, the vehicle can be matched by using the vehicle multidimensional information such as the vehicle color, the brand, the vehicle type, the practice logo and the like.

In step S610, the vehicle is charged with no sense of charge.

And (3) deducting the fee from the vehicle, calling a charging channel interface of a bank, a WeChat, a payment bank and the like, and deducting the fee from the vehicle.

And deducting fees for the vehicle according to the entrance information and the vehicle type information and the expressway charging standard. And recording the running and fee deduction information of the vehicle to a fee deduction information base.

And removing the vehicles after the non-inductive fee deduction and the manual fee deduction are successful from the front-mounted dynamic library of the vehicle fee deduction so as to improve the comparison speed and reduce the system resources. The information base in step S602 is unchanged.

Step S612, no sense passing.

And the vehicle with successful fee deduction sends a short message to the vehicle to prompt that the fee deduction is successful, and the vehicle can quickly pass through the appointed rodless lane.

Step S614, guiding the vehicle, and guiding the vehicle to a specified manual toll gate through a guiding screen for paying for the vehicle with unsuccessful fee deduction.

Step S616, exception handling.

For vehicles with unsuccessful fee deduction but walking on a rodless lane, the system counts an abnormal list, and the vehicles can pay on the channels such as application programs or official networks afterwards. Or pay at the next high speed entry.

For vehicles which do not accept the non-inductive passing protocol or are unsuccessful in deduction, the vehicles are guided to the appointed toll gate for charging. When a vehicle runs on a highway at a high speed, a time difference exists from the identification of the vehicle to the presentation of guide information to a driver, and the vehicle has already travelled a distance at this time, in order to ensure that the vehicle can see the guide screen information, it is necessary to determine which traffic lane the vehicle is travelling on and push corresponding information onto the guide screen of the traffic lane.

As shown in fig. 7, the vehicle guidance corresponding to step S614 may include the steps of:

step S702, lane recognition.

And identifying the information of the vehicle and the corresponding ground scribing, and judging the lane where the vehicle is located at the time of vehicle identification.

First, a front-end dynamic library for guiding vehicles is established

Traffic information of the vehicle is collected in front of the vehicle guiding device. And (3) carrying out multi-section license plate recognition on a road section in front of the vehicle guiding equipment, matching all license plate information recognized by each section of cameras with all driving-in information in the step S01, and storing the successfully matched license plate ID into a front-mounted dynamic information base of the vehicle guiding. If the cameras of multiple stages shoot the same vehicle, the information base is stored only once. The information base is established as follows:

Ve _i ＝(Veh ₁ ...Veh _k ) K is an integer greater than or equal to 1.

Second, a vehicle to lane match is established at the cameras of each set of spaced locations.

The identified vehicle information is set as follows:

wherein Lane is _ji Is the lane information in which the vehicle is located.

Setting a threshold delta

Wherein the method comprises the steps of

The formula means that if the license plate ID can be identified, the vehicle can be identified as V _i Is a vehicle of a vehicle. If the license plate and the fee deduction ID cannot be identified, the vehicle can be matched by using the vehicle multidimensional information.

Step S704, vehicle dynamic information identification. And judging the running direction and speed of the vehicle according to multi-frame information acquired by the camera, including the sight distance, the time difference and the like.

For a certain camera in the layout shown in fig. 1, assuming a line of sight of 100 meters, a certain car will be shot by several frames within this 100 meters.

The information of a certain vehicle matched with the completed information shot by a certain frame is set as follows:

wherein S is _j Is the line of sight of the vehicle from the camera in the frame. The viewing distance can be calculated by an algorithm such as SIFT (Scale-invariant feature transform, scale invariant feature transform) and the like.

Again, the speed and direction of travel of the vehicle are calculated.

The scalar of the speed is:

wherein t1, t2 are the moments of two adjacent frames.

The vector of velocity is:

in different frames, the positions xi, yi of the vehicle are recorded, the three spline difference is used for calculating the running track of the vehicle, and the tangential direction of the track of the vehicle, namely the vector direction of the speed, is calculated

Step S706, vehicle behavior prediction.

And predicting the movement track of the vehicle, abnormal parking, retrograde movement and other actions according to the movement direction and the speed of the vehicle.

First, the moment when the driver sees the guide screen is calculated.

According to the speed of the vehicle, the current position of the vehicle, the relative position information of the installation of the guide screen and the camera, the prediction algorithm calculates the required time, the time required by the signal to be sent to the guide screen, and the time difference between the moment when the driver sees the guide screen and the current moment (the vehicle identification moment) is calculated.

Next, the vehicle position at that time is calculated.

ELM (Extreme Learning Machine ) has the advantages of fast learning rate, high prediction accuracy and the like, and is suitable for time sequence prediction. The ELM may be used to build a model that calculates where the vehicle is when the driver sees the pilot screen.

Because the vehicle is conscious, in the traditional ELM learning process, influence factors of behavior characteristics are added besides the vehicle position, and the influence factors include information such as vehicle flow rate, headway, vehicle speed and the like

Knowing information about a vehicle (x _i ,t _i ) 1.ltoreq.i.ltoreq.N, where x _i ＝[x _i1 ,x _i2 ,...,x _iM ] ^T ∈R ^M Is vehicle information, t _i ＝[t _i1 ,t _i2 ,…,t _in ] ^T ∈R ⁿ Is time information.

x _i1 Respectively the vehicle position, x _i2 ,…,x _iM The vehicle speed, the vehicle head distance, the vehicle speed and other behavior characteristic influence factors, M is an integer greater than or equal to 1, and M represents the number of the characteristic influence factors.

Dynamic prediction of the vehicle position at the moment when the driver sees the guide screen is performed by using an improved ELM algorithm based on behavior characteristics to obtain (x) _i1M+1 ,t _in+1 )。

Again, the lane to which the position belongs is matched.

Through coordinate matching, the driver is matched with the position where the driver sees the guide screen to the lane to which the driver belongs.

Finally, the abnormal information can be judged to carry out system prompt.

If the vehicle is in reverse running, the vehicle is stopped abnormally, etc.

Step S708, guiding the vehicle to the specified lane.

And displaying the vehicle guiding information on the specific guiding screen, and guiding the specific vehicle to a specified manual charging window for charging.

As shown in fig. 8, the exception handling corresponding to step S616 may include the steps of:

the fee deduction module sends information whether fee deduction is successful to the exception handling module, if fee deduction is successful, a fee deduction success message is sent to a driver, and the driver can drive out of the expressway through the rodless lane; if the deduction state cannot be inquired due to network abnormality and other reasons, the vehicle can exit the expressway through the rodless lane, and the system informs a driver whether the deduction is needed in a short message mode in the later period; if the fee deduction fails, the system sends guiding information to the guiding screen, and the driver drives into the appointed manual charging window to pay fees; if the fee deduction is wrong, the system sends guiding information to the guiding screen, the driver drives into the appointed manual charging window to pay, if the driver drives into the non-inductive lane by mistake, the system saves an abnormal list, and after paying, the abnormality can be cancelled.

The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; for example, the scheme describes a charging scene of a single highway toll station, and according to the embodiment, the scheme can be applied to a non-inductive passing situation under the combined action of a plurality of toll stations.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.

Fig. 9 shows a schematic structural diagram of an electronic device suitable for use in implementing a terminal device or server of an embodiment of the present disclosure. It should be noted that the electronic device 900 shown in fig. 9 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present disclosure.

As shown in fig. 9, the electronic device 900 includes a Central Processing Unit (CPU) 901 that can execute various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 902 or a program loaded from a storage portion 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for the operation of the electronic device 900 are also stored. The CPU 901, ROM 902, and RAM 903 are connected to each other through a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.

The following components are connected to the I/O interface 905: an input section 906 including a keyboard, a mouse, and the like; an output portion 907 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage portion 908 including a hard disk or the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as needed. Removable media 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on the drive 910 so that a computer program read out therefrom is installed as needed into the storage section 908.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from the network via the communication portion 909 and/or installed from the removable medium 911. When the computer program is executed by a Central Processing Unit (CPU) 901, the above-described functions defined in the system of the present application are performed.

It should be noted that the computer readable storage medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

As another aspect, the present application also provides a computer-readable storage medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer-readable storage medium carries one or more programs which, when executed by a device, cause the device to perform functions including: the image acquisition equipment acquires an image of a target vehicle to obtain an image of the target vehicle; an image processing device performs image processing on the target vehicle image to obtain vehicle characteristic information of the target vehicle; the fee deduction equipment determines fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information; the fee deduction equipment determines the fee to be paid of the target vehicle according to the fee-related information; the fee deducting equipment automatically deducts fees from the target vehicle through the fee deducting channel according to the to-be-paid fee; and if the target vehicle is determined to be successfully deducted, the target vehicle passes through a non-inductive passing outlet without a toll bar.

According to one aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the methods provided in the various alternative implementations of the above-described embodiments.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, aspects of the disclosed embodiments may be embodied in a software product, which may be stored on a non-volatile storage medium (which may be a CD-ROM, a U-disk, a mobile hard disk, etc.), comprising instructions for causing a computing device (which may be a personal computer, a server, a mobile terminal, or a smart device, etc.) to perform a method according to embodiments of the disclosure, such as one or more of the steps shown in fig. 2.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the disclosure is not to be limited to the details of construction, the manner of drawing, or the manner of implementation, which has been set forth herein, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A method of non-inductive passing comprising:

the image acquisition equipment acquires an image of a target vehicle to obtain an image of the target vehicle;

an image processing device performs image processing on the target vehicle image to obtain vehicle characteristic information of the target vehicle, wherein the vehicle characteristic information is obtained by the image acquisition device at a first distance from the non-inductive passing exit;

the fee deduction equipment determines fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information;

the fee deduction equipment determines the fee to be paid of the target vehicle according to the fee-related information;

the fee deducting equipment automatically deducts fees from the target vehicle through the fee deducting channel according to the to-be-paid fee;

determining that the target vehicle deducts fees successfully, and enabling the target vehicle to pass through a non-inductive passing outlet without a toll bar;

determining that the payment of the target vehicle is unsuccessful, and acquiring the position information, the vehicle speed information and the headway information of the target vehicle at the first distance position; processing the position information, the vehicle speed information and the headway information of the target vehicle at the first distance position through a position prediction neural network to determine target position information of the target vehicle at a second distance position; determining a target lane where the target vehicle and the non-inductive passing exit are located at a second distance from each other according to the target position information, wherein the second distance is smaller than the first distance; and guiding the target vehicle through a target guide screen in at least one guide screen on the target lane.

2. The method of claim 1, wherein the fee deduction channel comprises an electronic toll collection ETC fee deduction channel and a target fee deduction channel, and the vehicle characteristic information comprises non-inductive traffic information; wherein, the deduction equipment carries out automatic deduction on the target vehicle through the deduction channel according to the to-be-paid fee, and the method comprises the following steps:

the fee deduction equipment automatically deducts fees from the target vehicle through the ETC fee deduction channel according to the to-be-paid fee;

if the deduction of the fee to the target vehicle through the ETC deduction channel fails, determining the target deduction channel provided by the target vehicle according to the non-inductive passing information by the fee deduction equipment;

and the fee deducting equipment automatically deducts fees from the target vehicle through the target fee deducting channel according to the to-be-paid fee.

3. The method of claim 1, wherein the target vehicle image comprises at least two vehicle images, each target vehicle image being acquired at a corresponding target instant; wherein acquiring vehicle speed information of the target vehicle at the first distance location includes:

Acquiring image position information of the target vehicle in each target vehicle image;

determining actual position information of the target vehicle at each target moment according to the image position information of the target vehicle in each target vehicle image;

and determining the vehicle speed information of the target vehicle at the first distance position according to the actual position information of the target vehicle at each target moment.

4. A method according to claim 3, characterized in that the actual position information is used to describe the actual distance of the target vehicle from the non-inductive passing exit; wherein determining vehicle speed information of the target vehicle at the first distance position according to actual position information of the target vehicle at each target time comprises:

acquiring lane information of the target vehicle in each target vehicle image;

determining vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position according to actual position information of the target vehicle at each target moment and the lane information;

vehicle speed information of the target vehicle at the first distance location is determined from the vehicle speed scalar information and the vehicle speed vector information.

5. The method of claim 4, wherein the target vehicle image comprises a first vehicle image and a second vehicle image, the target time comprising a first target time and a second target time, the first vehicle image being acquired at the first target time and the second vehicle image being acquired at the second target time; wherein determining vehicle speed scalar information and vehicle speed vector information of the target vehicle at the first distance position according to actual position information of the target vehicle at each target time and the lane information, comprises:

determining longitudinal movement information of the target vehicle according to the actual position information of the target vehicle in the first vehicle image and the actual position information of the target vehicle in the second vehicle image;

determining lateral movement information of the target vehicle according to the lane information of the target vehicle in the first vehicle image and the lane information of the target vehicle in the second vehicle image;

determining a first target time and the second target time to determine a target time difference;

determining the vehicle speed scalar information of the target vehicle at the first range location based on the longitudinal movement information, the lateral movement information, and the target time difference;

Performing position interpolation on the target vehicle between the first vehicle image and the second vehicle image to determine a target movement track of the target vehicle from the position of the target vehicle in the first vehicle image to the position of the target vehicle in the second vehicle image;

and determining the vehicle speed vector information of the target vehicle at the first distance position according to the target moving track.

6. A non-inductive passing system, comprising:

the image acquisition device is arranged at a first distance position from the non-inductive passing outlet and is used for acquiring images of target vehicles to obtain target vehicle images, and performing image processing on the target vehicle images to obtain vehicle characteristic information of the target vehicles, wherein the vehicle characteristic information is acquired by the image acquisition device at the first distance position from the non-inductive passing outlet;

the fee deduction device is arranged at a first distance from the non-inductive passing outlet and is used for determining fee-related information and fee deduction channels of the target vehicle according to the vehicle characteristic information; the method is also used for determining the to-be-paid fee of the target vehicle according to the fee-related information; the method is also used for automatically deducting fees from the target vehicle through the fee deduction channel according to the to-be-paid fee;

The non-inductive passing control equipment is used for determining that the target vehicle deducts fees successfully, and the target vehicle passes through a non-inductive passing outlet without a toll bar;

the guide screen is arranged between the non-inductive passing outlet and a second distance from the non-inductive passing outlet and is used for guiding the target vehicle to a target rod toll lane so that the target vehicle can pay when the non-inductive passing control equipment determines that the target vehicle is unsuccessful in paying;

the non-inductive passing control device is further configured to, when the payment of the target vehicle by the payment device is unsuccessful and the target vehicle does not pass through the toll collection lane, pay the target vehicle into an abnormal list according to the vehicle characteristic information, so that the target vehicle can carry out fee compensation;

wherein, guide the said target vehicle to the target has pole charging lane in order to pay through the said at least one guide screen, including:

acquiring position information, vehicle speed information and headway information of the target vehicle at the first distance position; processing the position information, the vehicle speed information and the headway information of the target vehicle at the first distance position through a position prediction neural network to determine target position information of the target vehicle at a second distance position; determining a target lane where the target vehicle and the non-inductive passing exit are located at a second distance from each other according to the target position information, wherein the second distance is smaller than the first distance; guiding the target vehicle through a target guide screen in at least one guide screen on the target lane.

7. An electronic device, comprising:

a memory; and

a processor coupled to the memory, the processor being configured to perform the non-inductive passing method of any of claims 1-5 based on instructions stored in the memory.

8. A computer readable storage medium having stored thereon a program which when executed by a processor implements the non-inductive passing method of any of claims 1-5.