A vehicle-road cooperation identity authentication method and system
By using a vehicle-road cooperative identity authentication method, vehicle information is collected by cameras and measuring radar. The authentication end quickly extracts features and sends them to the server for comparison, which solves the problem of slow identity recognition caused by insufficient network bandwidth in traditional systems and achieves efficient and secure vehicle authentication.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
- Filing Date
- 2024-02-27
- Publication Date
- 2026-05-12
AI Technical Summary
现有交通管理系统中，传统的实时车辆识别系统由于网络带宽不足，导致身份识别过程变得漫长。
采用车路协同的身份认证方法，通过摄像头和测量雷达采集车辆外部信息，快速认证端提取特征量并发送至服务器认证端进行比对，服务器端对比特征量与警务系统信息，根据差异度进行报警或加权计算以控制闸门的开启。
It improves vehicle authentication efficiency, reduces network bandwidth requirements, ensures the accuracy and security of identity recognition, prevents illegal modifications, and reduces vehicle authentication time and network burden.
Smart Images
Figure CN118196948B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of identity authentication technology, and in particular to a vehicle-road cooperative identity authentication method and system. Background Technology
[0002] Vehicle-to-infrastructure (V2I) communication utilizes advanced wireless communication and next-generation internet technologies to implement comprehensive, dynamic, real-time information exchange between vehicles and between vehicles and infrastructure. Based on the collection and fusion of dynamic traffic information across all times and spaces, it enables proactive vehicle safety control and collaborative road management. All messages received in V2I scenarios, especially those related to emergencies and safety incidents, must be guaranteed to originate from legitimate nodes.
[0003] In existing traffic management systems, especially on long-span roads such as highways, the traditional real-time vehicle identification system often results in a longer identification process due to factors such as insufficient network bandwidth. Summary of the Invention
[0004] In view of the above-mentioned problems, the present invention is proposed.
[0005] Therefore, the problem that this invention aims to solve is that traditional real-time vehicle recognition systems often make the identification process more lengthy due to factors such as insufficient network bandwidth.
[0006] To address the aforementioned technical problems, this invention provides the following technical solution: a vehicle-road cooperative identity authentication method, comprising: when a vehicle approaches a gate entrance, a camera and a measuring radar collect external information about the vehicle and send it to a rapid authentication terminal; after receiving the external information, the rapid authentication terminal opens the gate entrance, allowing the vehicle to enter; the rapid authentication terminal extracts feature values from the external information and sends them to a server authentication terminal via a communication module; the server authentication terminal compares the feature values with information in the police system; if the difference in the feature values is greater than a set threshold, an alarm is triggered; if the difference in the feature values is less than the set threshold, a weighted calculation is performed; if the calculated value is still less than the threshold, the gate exit is opened; if it is greater than the set threshold, a warning is issued and the vehicle information is stored for tracking.
[0007] As a preferred embodiment of the vehicle-road cooperative identity authentication method of the present invention, the opening of the gate entrance includes: the information of the vehicle entering the gate is recorded by the fast authentication terminal and the gate is opened; if there is inconsistency in the information of the entering vehicle, but the fast authentication terminal does not record it, the gate at the entrance end is still open; the external information of the vehicle includes license plate image, vehicle length and width dimensions, wheel hub image, tire image, front view image, rear view image, and roof view image.
[0008] As a preferred embodiment of the vehicle-road cooperative identity authentication method of the present invention, the step of extracting feature quantities from the vehicle's external information includes: locking preset feature points of the received image; extracting all feature quantities on the feature points and defining them as original image features; performing Gaussian noise reduction on the received image after extraction to obtain a first-class image; collecting color information at the feature point locations of the first-class image; performing grayscale processing on the first-class image to obtain a second-class image; collecting structural information at the feature point locations of the second-class image; reconstructing the image based on the color information to obtain a first-class reconstructed image; comparing the features of the first-class reconstructed image with those of the original image; calculating the loss between the features of the first-class reconstructed image and the original image, defined as the reconstruction loss; calculating the feature distance between the first-class reconstructed image and the original image and the feature distance between the first-class reconstructed image and the first-class image, and calculating the difference between the two feature distances to obtain the distance. The loss is calculated as follows: A weighted sum of reconstruction loss and distance loss is obtained. This sum is used to iterate through the first-class image until the sum is less than or equal to a set threshold. The iteration stops when the sum is less than or equal to a set threshold, and the iterated first-class image is output, along with extracted new color information. The second-class reconstructed image is then obtained based on structural information. The features of the second-class reconstructed image are compared with those of the original image, and the loss between these two features is calculated, defined as the reconstruction loss. The feature distances between the second-class reconstructed image and the original image, and between the second-class reconstructed image and the second-class image, are calculated, along with the difference between these two feature distances to obtain the distance loss. A weighted sum of reconstruction loss and distance loss is then obtained. This sum is used to iterate through the second-class image until the sum is less than or equal to a set threshold. The iteration stops when the sum is less than or equal to a set threshold, and the iterated second-class image is output, along with extracted new structural information.
[0009] As a preferred embodiment of the vehicle-road cooperative identity authentication method of the present invention, the comparison includes: after extracting the features of the license plate image, if the extracted features do not contain complete license plate number information, an alarm is triggered, the data is labeled with a "copycat" tag and output; if complete license plate number information is available, the original vehicle model corresponding to this license plate number is retrieved, and the feature information of the original vehicle model is loaded into the comparison module; the comparison module compares the color information of the original vehicle model with the new color information; if the color difference between the new color information and the color information of the original vehicle model is greater than a specified percentage, an alarm is triggered, the data is labeled with a color tag and output, and the next comparison is performed; the length and width dimensions of the original vehicle model are compared with the collected vehicle body length and width dimensions; if the difference in length and width dimensions after comparison is greater than a specified value, an alarm is triggered, the data is labeled with a vehicle body size tag and output, and the next comparison is performed; the size and structure information of the four wheel rims collected are compared with the wheel rim dimensions of the original vehicle model; if the size difference is greater than a preset value, an alarm is triggered; if it is less than or equal to the preset value, the difference is resolved. The system compares the size consistency of the front-wheel drive left and right wheel rims with the rear-wheel drive left and right wheel rims. If the wheel rim sizes are inconsistent, an alarm is triggered, the data is labeled with a wheel rim tag and output, and the next comparison is performed. It then compares the tread pattern differences between the front-wheel drive left and right tires with the rear-wheel drive left and right tire tread patterns. If the tread pattern difference exceeds a set threshold, an alarm is triggered, the data is labeled with a tire tread tag and output, and the next comparison is performed. Based on the roof view image, it determines if any modifications have been added. If no modifications are found, the next comparison is performed. If modifications are found, the height of the added device is calculated to ensure it meets regulations. If it does not, an alarm is triggered, the data is labeled with a modification tag and output, and the next comparison is performed. Based on the collected front and rear view images, the system compares the differences between the structural components at the front and rear of the vehicle and the original model. If the differences do not meet preset conditions, an alarm is triggered, the data is labeled with a structural tag and output. If all the above comparisons meet preset conditions and regulations, all comparison data are collected and weighted for calculation.
[0010] In a preferred embodiment of the vehicle-road cooperative identity authentication method described in this invention, the weighted calculation includes calculating the impact of color, vehicle body size, wheel hub size, tire tread, installation height, and vehicle body equipment on vehicle driving safety using weighted calculations to obtain a degree value. The degree value calculation formula is expressed as follows:
[0011]
[0012] Where, ω y Represented as the color visibility coefficient, it is obtained by fitting the collected color information, d y The color difference is represented by ρ, where ρ represents air density, v represents the maximum speed of the vehicle, and C represents the maximum speed of the vehicle. dThe drag coefficient is represented by F, which is obtained by fitting the shape and streamline of the original vehicle model. A represents the front end area of the vehicle. M d represents the maximum lateral load capacity of the vehicle while it is in motion. c This is expressed as the difference in length and width dimensions, d j Indicated as the height of the added device, ω l The wheel hub influence coefficient is expressed as d, which is obtained by fitting the measured influence of wheel hub size on the vehicle drag coefficient. l The wheel hub size variation is represented by S1, the reference tread depth is S2, and the measured tread depth is d. w This is expressed as the difference in tire tread pattern, ω z Represented as structural device coefficients, d is obtained by fitting the structural devices at the front and rear ends of the original vehicle model. z This is expressed as the degree of difference in structural devices.
[0013] As a preferred embodiment of the vehicle-road cooperative identity authentication method of the present invention, the alarm includes: impounding and transporting vehicles that output alarm operations, sending tagged data to the vehicle owner terminal, stopping the vehicle from driving, and restoring driving rights when the vehicle is detected again and meets the requirements; the tracking includes: for vehicles that output warning operations, sending the data with the greatest difference to the vehicle owner terminal, opening the gate exit, allowing driving, but tracking the vehicle, requiring it to be detected again and meet the requirements within a preset time interval.
[0014] Another objective of this invention is to provide a vehicle-road cooperative identity authentication system that can quickly verify vehicle information and detect whether a vehicle has been illegally modified.
[0015] To address the aforementioned technical problems, this invention provides the following technical solution: a system for vehicle-road cooperative identity authentication, comprising: a data acquisition camera, a measurement radar, a communication module, a fast authentication terminal, and a server authentication terminal; the fast authentication terminal includes a feature extraction module, a processing unit, and a data storage module; the server authentication terminal includes a comparison module, an alarm module, a processing unit, a system encryption module, and an identity recognition module; the data acquisition camera and the measurement radar transmit the detected electrical signals to the processing unit of the fast authentication terminal; the feature extraction module and the data storage module are both signal-connected to the processing unit of the fast authentication terminal; the processing unit of the server authentication terminal is signal-connected to the comparison module, the system encryption module, and the identity recognition module; the comparison module is signal-connected to the alarm module.
[0016] In a preferred embodiment of the vehicle-road cooperative identity authentication method of the present invention, the fast authentication terminal and the server authentication terminal are connected via a communication module, and the processing unit of the fast authentication terminal and the processing unit of the server authentication terminal are connected via the signal of the communication module; the processing module processes the data signal through the system encryption module and the identity recognition module, and then retrieves the vehicle data information from the police system terminal through the cloud server terminal; the comparison module compares the vehicle information from the police system terminal with the information captured by the fast authentication terminal, and connects to the police system terminal through the alarm module when the two information do not meet the conditions.
[0017] A computer device includes a memory and a processor, wherein the memory stores a computer program, characterized in that the processor executes the computer program to implement the steps of the vehicle-road cooperative identity authentication method and system as described above.
[0018] A computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the vehicle-road cooperative identity authentication method and system as described above.
[0019] The beneficial effects of this invention are as follows: By setting up a fast authentication terminal and a server authentication terminal to cooperate with each other, when authenticating vehicles on the road, the processing unit of the fast authentication terminal can directly collect vehicle information and release the vehicle. At this time, the information collected can be verified and compared by the server authentication terminal. Only data with abnormality verified by the server will be transmitted to the fast authentication terminal at the exit. This logical design can greatly improve the efficiency of vehicle authentication.
[0020] This invention uses a server authentication terminal to perform delayed information comparison of vehicles. This requires a relatively large amount of computation and network bandwidth for vehicle information comparison, thus reducing the need for real-time information verification. Furthermore, since vehicles take a considerable amount of time to travel on roads, this provides the server with ample time to verify vehicle information. Attached Figure Description
[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:
[0022] Figure 1 This is a flowchart of a vehicle-road cooperative identity authentication method in Example 1.
[0023] Figure 2This is a module structure diagram of a vehicle-road cooperative identity authentication system in Example 3. Detailed Implementation
[0024] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0025] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.
[0026] Example 1
[0027] Reference Figure 1 This is the first embodiment of the present invention, which provides a vehicle-road cooperative identity authentication method including,
[0028] Step 1: When a vehicle arrives at the gate entrance, the camera and measuring radar collect external information about the vehicle and send it to the fast authentication terminal.
[0029] After a vehicle enters the road through the gate, a camera at the gate collects the license plate number and vehicle appearance information.
[0030] Radar is used to measure the size of a vehicle body, and the parameters used to measure the size of a vehicle body are another standard for determining vehicle modifications.
[0031] The authentication equipment at the gate quickly captures and authenticates the vehicle information.
[0032] After the authentication device records the information, the gate opens, and the recorded information is transmitted to the server in sequence according to the recording time. After receiving the information, the server will compare it in sequence according to the time. Since it takes a long time for vehicles to travel on the road, this gives the server enough time to verify the vehicle information.
[0033] Vehicle exterior information includes images of the license plate, vehicle length and width, wheel rims, tires, front view, rear view, and roof view.
[0034] Step 2: After receiving the vehicle's external information, the fast authentication terminal opens the gate entrance, the vehicle enters the gate, and the fast authentication terminal extracts the feature data from the vehicle's external information and sends it to the server authentication terminal through the communication module.
[0035] The camera captures images of vehicle colors; different numbers of feature points are collected for different vehicle types.
[0036] The system collects images from the front and rear of the vehicle using cameras, and gathers color and structural information at the locations of feature points from these images.
[0037] Opening the gate entrance also includes the rapid authentication terminal recording the information of the vehicle entering the gate and opening the gate. If there is an inconsistency in the information of the entering vehicle, but the rapid authentication terminal does not record it, the gate at that entrance will still be open.
[0038] The extraction of features from vehicle external information includes: locking preset feature points in the received image; extracting all features from the feature points and defining them as original image features; performing Gaussian noise reduction on the received image after extraction to obtain a first-class image; collecting color information at the feature point locations in the first-class image; performing grayscale processing on the first-class image to obtain a second-class image; and collecting structural information at the feature point locations in the second-class image.
[0039] Reconstructing an image based on color information yields a class of reconstructed images. These reconstructed images are then compared with the original image features, and the loss between them is calculated, defined as the reconstruction loss. The feature distances between the reconstructed and original images, and between the reconstructed and original images themselves, are calculated, along with the difference between these two feature distances to obtain the distance loss. A weighted sum of the reconstruction loss and the distance loss is then obtained. The reconstructed image and the distance loss are iterated over based on this sum until the sum is less than or equal to a set threshold. The iteration stops when the sum is less than or equal to a set threshold. The iterated image is then output, and new color information is extracted.
[0040] The iteration here can be performed using either the least squares method or the gradient descent method, depending on the specific circumstances.
[0041] The image is reconstructed based on structural information to obtain a second-class reconstructed image. The features of the second-class reconstructed image are compared with those of the original image, and the loss between the features of the second-class reconstructed image and the original image is calculated, which is defined as the reconstruction loss. The feature distance between the second-class reconstructed image and the original image and the feature distance between the second-class reconstructed image and the second-class image are calculated, and the difference between the two feature distances is calculated to obtain the distance loss. The reconstruction loss and the distance loss are weighted and summed to obtain the loss sum. The second-class image is iterated based on the loss sum until the loss sum is less than or equal to the set threshold. The iteration stops when the loss sum is less than or equal to the set threshold. The iterated second-class image is output and new structural information is extracted.
[0042] Step 3: The server authentication end compares the feature value with the information in the police system. If the difference between the feature values is greater than the set threshold, an alarm is triggered. If the difference between the feature values is less than the set threshold, a weighted calculation is performed. If the calculated value is still less than the threshold, the gate exit is opened. If it is greater than the set threshold, a warning is issued and the vehicle information is stored for tracking.
[0043] The server receives the authentication information from the fast authentication device and compares it with the information from the police system.
[0044] Once the information is verified and approved, it will be sent to the exit gate.
[0045] If a vehicle is found to have a counterfeit license plate, has been modified, or is invalid, its information authentication will be deemed unqualified, and this information will be transmitted to the police system via the alarm module.
[0046] The comparison process includes: after extracting features from the license plate image, if the extracted features do not contain complete license plate information, an alarm is triggered, the data is labeled as a cloned license plate and output; if complete license plate information is available, the original vehicle model corresponding to this license plate number is retrieved, and the feature information of the original vehicle model is loaded into the comparison module.
[0047] The comparison module compares the color information of the original vehicle model with the new color information. If the difference between the new color information and the original color information is greater than a specified percentage, an alarm is triggered, the data is labeled with a color tag and output, and the next comparison is performed.
[0048] If the color at the location of the collected feature point is different from the vehicle body color recorded by the vehicle management office, and the number of color-abnormal feature points accounts for more than 70% of the total number of feature points, the system considers the vehicle information to be abnormal.
[0049] Compare the original vehicle's length and width dimensions with the collected vehicle's length and width dimensions. If the difference between the compared length and width dimensions exceeds the specified limit, an alarm will be triggered, the data will be labeled with the vehicle's dimensions, and the data will be output for the next comparison.
[0050] The collected dimensions and structural information of the four wheel hubs are compared with the dimensions of the original vehicle's wheel hubs. If the difference in dimensions is greater than a preset value, an alarm is triggered. If the difference is less than or equal to the preset value, the dimensions of the front-wheel drive left and right wheel hubs are compared with those of the rear-wheel drive left and right wheel hubs. If the wheel hub dimensions are inconsistent, an alarm is triggered. The data is then labeled with wheel hub tags and output for further comparison.
[0051] Compare the tread patterns of the left and right front-wheel drive tires with the tread patterns of the left and right rear-wheel drive tires. If the tread pattern difference exceeds the set threshold, an alarm is triggered, the data is labeled with tread patterns and output, and then the next comparison is performed.
[0052] Based on the information from the roof view image, determine if there is any additional installation. If not, proceed to the next comparison step. If there is an additional installation, calculate whether the height of the installation device meets the regulations. If it does not meet the regulations, trigger an alarm, label the data as an additional installation, output it, and proceed to the next comparison step.
[0053] Based on the collected images from the front and rear of the vehicle, the structural components at the front and rear are compared with those of the original vehicle model. If the difference does not meet the preset conditions, an alarm is triggered, and the data is labeled with structural tags and output.
[0054] If all the above comparisons meet the preset conditions and regulations, then all comparison data will be collected and weighted for calculation.
[0055] The weighted calculation includes separately calculating the impact of color, vehicle body size, wheel size, tire tread, installation height, and body equipment on vehicle driving safety, and then weighting these factors to obtain a severity value. The formula for calculating the severity value is expressed as follows:
[0056]
[0057] Where, ω y Represented as the color visibility coefficient, it is obtained by fitting the collected color information, d y The color difference is represented by ρ, where ρ represents air density, v represents the maximum speed of the vehicle, and C represents the maximum speed of the vehicle. d The drag coefficient is represented by the vehicle's shape and streamline profile, and A represents the frontal area of the vehicle, specifically A = vehicle height × vehicle width. M d represents the maximum lateral load capacity of the vehicle while it is in motion. c This is expressed as the difference in length and width dimensions, d j Indicated as the height of the added device, ω l The wheel hub influence coefficient is expressed as d, which is obtained by fitting the measured influence of wheel hub size on the vehicle drag coefficient. l The wheel hub size variation is represented by S1, the reference tread depth is S2, and the measured tread depth is d. w This is expressed as the difference in tire tread pattern, ω z Represented as structural device coefficients, d is obtained by fitting the structural devices at the front and rear ends of the original vehicle model. z This is expressed as the degree of difference in structural devices.
[0058] The weighted calculation of this invention can effectively prevent potential safety accidents. Generally, those skilled in the art only consider the impact of whether a single condition is met on driving safety, while ignoring the problem that if multiple parts are modified to meet the requirements, the interaction of these multiple parts may affect driving safety and lead to accidents.
[0059] Vehicles that trigger alarms will be impounded and transported. The tagged data will be sent to the vehicle owner's terminal, stopping the vehicle from driving until it is re-tested and meets the requirements, at which point driving rights will be restored.
[0060] For vehicles that issue warnings, the data with the greatest difference is sent to the owner's terminal, the gate is opened, and driving is allowed. However, the vehicle is tracked and needs to be checked again within a preset time interval and meet the requirements.
[0061] Example 2
[0062] The second embodiment of the present invention differs from the first embodiment in that: the vehicle-road cooperative identity authentication method further includes, in order to verify and explain the technical effect adopted in the method, a comparative test is conducted between the traditional technical solution and the present invention, and the test results are compared by means of scientific demonstration to verify the real effect of the method.
[0063] A set of experiments was designed to simulate the methods of the present invention using both traditional methods and the method of the present invention. The specific test indicators are as follows:
[0064] Comparison of vehicle authentication speeds: Measure and compare the vehicle authentication time of traditional real-time vehicle recognition systems and the fast authentication terminal in this invention.
[0065] Comparison of network bandwidth requirements: Compare the network bandwidth required by the two systems when performing vehicle authentication.
[0066] Security performance analysis: Evaluate the efficiency and accuracy of the server authentication end in detecting security vulnerabilities.
[0067] Overall system efficiency assessment: Measure the time it takes for both systems to process the same number of vehicles during normal and peak hours.
[0068] The data obtained from testing using the traditional method and the method of this invention are summarized in the table below:
[0069] Table 1: Comparison of data between traditional methods and the method of this invention
[0070] Indicator / System Type Traditional real-time vehicle recognition system This invention system Average vehicle certification time 8 seconds 3 seconds Peak network bandwidth usage 20Mbps 10Mbps Accuracy of safety hazard identification 85％ 95％ Number of vehicles processed during normal hours 450 vehicles / hour 600 vehicles / hour Number of vehicles processed during peak hours 300 vehicles / hour 500 vehicles / hour
[0071] Average vehicle authentication time: The authentication time of the system of this invention is an average of 3 seconds, which is significantly reduced compared to 8 seconds of the traditional system.
[0072] Peak network bandwidth usage: The network bandwidth usage of the system of this invention is 10Mbps at peak times, which is significantly lower than the 20Mbps of traditional systems, effectively reducing the network burden and improving the scalability of the system.
[0073] Accuracy of safety hazard identification: The accuracy of safety hazard identification of the system of this invention is 95%, which is higher than 85% of the traditional system, indicating that it is more reliable in terms of safety performance.
[0074] Vehicle handling capacity during normal and peak hours: During normal hours, the system of this invention can handle 600 vehicles / hour, while the traditional system can only handle 450 vehicles / hour. During peak hours, the system of this invention can handle 500 vehicles / hour, far exceeding the 300 vehicles / hour of the traditional system. This demonstrates that the system of this invention is more efficient in handling high-density traffic flow.
[0075] Example 3
[0076] Reference Figure 2 This is the third embodiment of the present invention, which differs from the previous two embodiments in that: a system for vehicle-road cooperative identity authentication method, characterized in that: it includes a data acquisition camera, a measurement radar, a communication module, a fast authentication terminal, and a server authentication terminal; the fast authentication terminal includes a feature extraction module, a processing unit, and a data storage module; the server authentication terminal includes a comparison module, an alarm module, a processing unit, a system encryption module, and an identity recognition module; the data acquisition camera and the measurement radar transmit the detected electrical signals to the processing unit of the fast authentication terminal, and the feature extraction module and the data storage module are both signal-connected to the processing unit of the fast authentication terminal; the processing unit of the server authentication terminal is signal-connected to the comparison module, the system encryption module, and the identity recognition module, and the comparison module is signal-connected to the alarm module.
[0077] The fast authentication terminal and the server authentication terminal are connected via a communication module. The processing unit of the fast authentication terminal and the processing unit of the server authentication terminal are connected via the signal of the communication module. The processing module processes the data signal through the system encryption module and the identity recognition module, and then retrieves the vehicle data information from the police system terminal through the cloud server. The comparison module compares the vehicle information from the police system terminal with the information captured by the fast authentication terminal. If the two information do not meet the conditions, the alarm module connects to the police system terminal.
[0078] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0079] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.
[0080] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.
[0081] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.
[0082] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A vehicle-road cooperative identity authentication method, characterized in that: include, When a vehicle approaches the gate entrance, cameras and measuring radar collect external information about the vehicle and send it to the rapid authentication terminal. After receiving external vehicle information, the fast authentication terminal opens the gate entrance, the vehicle enters the gate, and the fast authentication terminal extracts the feature data from the external vehicle information and sends it to the server authentication terminal through the communication module. The server authentication end compares the feature value with the information in the police system. If the difference between the feature values is greater than the set threshold, an alarm is triggered. If the difference between the feature values is less than the set threshold, a weighted calculation is performed. If the calculated value is still less than the threshold, the gate exit is opened. If it is greater than the set threshold, a warning is issued and the vehicle information is stored for tracking. The extraction of features from the vehicle's external information includes: locking preset feature points in the received image; extracting all features from the feature points and defining them as original image features; performing Gaussian noise reduction on the received image after extraction to obtain a first-class image; collecting color information at the feature point locations of the first-class image; performing grayscale processing on the first-class image to obtain a second-class image; and collecting structural information at the feature point locations of the second-class image. Reconstructing an image based on color information yields a reconstructed image class. This reconstructed image class is then compared with the original image features, and the loss between these two feature classes is calculated, defined as the reconstruction loss. The feature distances between the reconstructed image class and the original image, and between the reconstructed image class and other images within the same class, are calculated, along with the difference between these two feature distances to obtain the distance loss. A weighted sum of the reconstruction loss and the distance loss is then obtained. This sum is used to iterate through the reconstructed image class until the sum of the losses is less than or equal to a set threshold. The iteration is then stopped, and the reconstructed image class is output, along with the extraction of new color information. The image is reconstructed based on structural information to obtain a second-class reconstructed image. The features of the second-class reconstructed image are compared with those of the original image, and the loss between the features of the second-class reconstructed image and the original image is calculated, which is defined as the reconstruction loss. The feature distance between the second-class reconstructed image and the original image and the feature distance between the second-class reconstructed image and the second-class image are calculated, and the difference between the two feature distances is calculated to obtain the distance loss. The reconstruction loss and the distance loss are weighted and summed to obtain the loss sum. The second-class image is iterated based on the loss sum until the loss sum is less than or equal to the set threshold. The iteration stops when the loss sum is less than or equal to the set threshold. The iterated second-class image is output and new structural information is extracted.
2. The vehicle-road cooperative identity authentication method as described in claim 1, characterized in that: The opening of the gate entrance includes the following: when a vehicle enters the gate, the information is recorded by the fast authentication terminal and the gate is opened. If there is an inconsistency in the information of the entering vehicle, but the fast authentication terminal does not record it, the gate at the entrance end is still open. The vehicle's external information includes images of the license plate, vehicle length and width, wheel rims, tires, front view, rear view, and roof view.
3. The vehicle-road cooperative identity authentication method as described in claim 2, characterized in that: The comparison includes: after extracting the features of the license plate image, if the extracted features do not contain complete license plate number information, an alarm is triggered, the data is labeled as a cloned license plate and output; if there is complete license plate number information, the original vehicle model corresponding to this license plate number is retrieved, and the feature information of the original vehicle model is loaded into the comparison module. The comparison module compares the color information of the original vehicle model with the new color information. If the difference between the new color information and the color information of the original vehicle model is greater than a specified percentage, an alarm is triggered, the data is labeled with color and output, and the next comparison is performed. Compare the original vehicle's length and width dimensions with the collected vehicle's length and width dimensions. If the difference between the compared length and width dimensions exceeds the specified limit, an alarm will be triggered, the data will be labeled with the vehicle's dimensions, and the data will be output for the next comparison. The collected dimensions and structural information of the four wheel hubs are compared with the dimensions of the original vehicle wheel hubs. If the size difference is greater than the preset value, an alarm is triggered. If the difference is less than or equal to the preset value, the size consistency of the front-wheel drive left and right wheel hubs is compared with that of the rear-wheel drive left and right wheel hubs. If the wheel hub sizes are inconsistent, an alarm is triggered. The data is labeled with wheel hub tags and output for the next comparison. Compare the tread patterns of the left and right front-wheel drive tires and the left and right rear-wheel drive tires respectively. If the tread pattern difference exceeds the set threshold, an alarm is triggered, the data is labeled with tread patterns and output, and then the next comparison is performed. Based on the information from the roof view image, determine whether there is any additional installation. If not, proceed to the next comparison step. If there is an additional installation, calculate whether the height of the installation device meets the regulations. If it does not meet the regulations, trigger an alarm, label the data with an additional installation tag, output it, and proceed to the next comparison step. Based on the collected images from the front and rear of the vehicle, the structural components at the front and rear of the vehicle are compared with those of the original vehicle model. If the difference does not meet the preset conditions, an alarm is triggered, and the data is labeled with structural tags and output. If all the above comparisons meet the preset conditions and regulations, then all comparison data will be collected and weighted for calculation.
4. The vehicle-road cooperative identity authentication method as described in claim 3, characterized in that: The weighted calculation includes calculating the impact of color, vehicle body size, wheel size, tire tread, installation height, and body equipment on vehicle driving safety, and then weighting these factors to obtain a severity value. The severity value calculation formula is expressed as follows: in, It is represented as the color visibility coefficient, which is obtained by fitting the collected color information. This is expressed as color difference. Expressed as air density, This indicates the maximum speed of the vehicle. It is expressed as the vehicle drag coefficient, obtained by fitting the shape and streamline of the original vehicle model. This refers to the area at the front end of the vehicle. This represents the maximum lateral load-bearing capacity of the vehicle while it is in motion. This is expressed as the difference in length and width dimensions. This indicates the height of the installed device. This is expressed as the wheel hub influence coefficient, which is obtained by fitting the measured influence of wheel hub size on the vehicle's drag coefficient. This is expressed as the degree of difference in wheel hub size. This is represented as the tire tread depth reference. This is expressed as the measured tread depth. This is expressed as the degree of difference in tire tread pattern. This is represented as a structural device coefficient, obtained by fitting the structural devices at the front and rear ends of the original vehicle model. This is expressed as the degree of difference in structural devices.
5. The vehicle-road cooperative identity authentication method as described in claim 4, characterized in that: The alarm includes impounding and transporting the vehicle that outputs the alarm, sending the tagged data to the owner's terminal, stopping the vehicle from driving, and restoring driving rights when the vehicle is re-inspected and meets the requirements. The tracking includes sending the data with the greatest difference to the vehicle owner's terminal for vehicles that have issued warnings, opening the gate exit to allow driving, but tracking this vehicle requires re-detection and meeting the requirements within a preset time interval.
6. A system employing a vehicle-road cooperative identity authentication method as described in any one of claims 1 to 5, characterized in that: This includes a data acquisition camera, a measurement radar, a communication module, a fast authentication terminal, and a server authentication terminal; The rapid authentication terminal includes a feature extraction module, a processing unit, and a data storage module; the server authentication terminal includes a comparison module, an alarm module, a processing unit, a system encryption module, and an identity recognition module. The acquisition camera and measurement radar transmit the detected electrical signals to the processing unit of the fast authentication terminal. The feature extraction module and data storage module are both signal-connected to the processing unit of the fast authentication terminal. The server authentication processing unit is signal-connected to the comparison module, the system encryption module, and the identity recognition module, and the comparison module is signal-connected to the alarm module.
7. The system of the vehicle-road cooperative identity authentication method as described in claim 6, characterized in that: The fast authentication terminal and the server authentication terminal are connected through a communication module, and the processing unit of the fast authentication terminal and the processing unit of the server authentication terminal are connected by a signal through the communication module. The processing unit of the server authentication end processes the data signal through the system encryption module and the identity recognition module, and then retrieves the vehicle data information from the police system through the cloud server. The comparison module compares the vehicle information on the police system with the information captured by the fast authentication terminal. If the two information do not meet the conditions, the alarm module connects to the police system.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the vehicle-road cooperative identity authentication method according to any one of claims 1 to 5.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the vehicle-road cooperative identity authentication method according to any one of claims 1 to 5.