CN-118196948-B - Identity authentication method and system for vehicle-road cooperation

CN118196948BCN 118196948 BCN118196948 BCN 118196948BCN-118196948-B

Abstract

The invention discloses a vehicle-road collaborative identity authentication method and a vehicle-road collaborative identity authentication system, which relate to the technical field of identity authentication and comprise the steps that when a vehicle runs to a gate entrance, a camera and a measuring radar collect external information of the vehicle and send the external information to a quick authentication end, the gate entrance is opened after the quick authentication end receives the external information of the vehicle, the quick authentication end extracts characteristic quantities in the external information of the vehicle and sends the characteristic quantities to a server authentication end through a communication module, the server authentication end compares the characteristic quantities with information in a police system end, alarms are carried out if the difference degree of the characteristic quantities is larger than a set threshold value, weighting calculation is carried out if the difference degree of the characteristic quantities is smaller than the set threshold value, and the vehicle is warned and tracked if the difference degree of the characteristic quantities is larger than the set threshold value after calculation. The quick authentication end can directly collect and release vehicle information, and can transmit the vehicle information to the quick authentication end at the exit only when the abnormality exists in the check, so that the logic design can greatly improve the efficiency of vehicle authentication.

Inventors

BIN DONGMEI
TANG FUCHUAN
LI XIN
XIE MING
YANG CHUNYAN
LING YING
MENG LIANG
HAN SONGMING
Ming Shaofeng
Lu Jieke

Assignees

广西电网有限责任公司电力科学研究院

Dates

Publication Date: 20260512
Application Date: 20240227

Claims (9)

1. A vehicle-road cooperative identity authentication method is characterized by comprising the steps of, When the vehicle runs to the gate entrance, the camera and the measuring radar collect external information of the vehicle and send the external information to the quick authentication end; The rapid authentication end receives external information of the vehicle, then opens a gate entrance, the vehicle enters the gate, extracts characteristic quantities in the external information of the vehicle, and sends the characteristic quantities to the server authentication end through the communication module; the server authentication end compares the characteristic quantity with information in the police system end, alarms if the difference degree of the characteristic quantity is larger than a set threshold value, performs weighted calculation if the difference degree of the characteristic quantity is smaller than the set threshold value, opens a gate outlet if the calculated value is still smaller than the threshold value, warns and stores the vehicle information if the calculated value is larger than the set threshold value, and tracks the vehicle; The method comprises the steps of extracting feature values in external information of a vehicle, wherein the feature values comprise locking preset feature points of a received picture, extracting all feature values on the feature points to define original picture features, carrying out Gaussian noise reduction treatment on the received picture after extraction to obtain a first picture, collecting color information at the position of the feature points of the first picture, carrying out gray level treatment on the first picture after collection to obtain a second picture, and collecting structural information at the position of the feature points of the second picture; The method comprises the steps of obtaining a type of reconstructed pictures according to color information reconstruction sheets, comparing the type of reconstructed pictures with original image features, calculating losses between the type of reconstructed pictures and the original image features, defining the losses as reconstruction losses, calculating feature distances between the type of reconstructed pictures and the original image and feature distances between the type of reconstructed pictures and the type of pictures, calculating difference between the two feature distances to obtain distance losses, carrying out weighted summation on the reconstruction losses and the distance losses to obtain loss sums, carrying out iteration on the type of pictures based on the loss sums, stopping iteration until the iteration losses are smaller than or equal to a set threshold value, outputting the iterated type of pictures, and extracting new color information; The method comprises the steps of obtaining two kinds of reconstructed pictures according to structural information reconstruction sheets, comparing the two kinds of reconstructed pictures with original image features, calculating losses between the two kinds of reconstructed pictures and the original image features, defining the losses as reconstruction losses, calculating feature distances between the two kinds of reconstructed pictures and the original image and feature distances between the two kinds of reconstructed pictures and the two kinds of images, calculating difference between the two feature distances to obtain distance losses, carrying out weighted summation on the reconstruction losses and the distance losses to obtain loss sums, carrying out iteration on the two kinds of pictures based on the loss sums, stopping iteration until the loss sums after the iteration are smaller than or equal to a set threshold, outputting the two kinds of iterated pictures, and extracting new structural information.
2. The vehicle-road collaborative identity authentication method according to claim 1, wherein the opening of the gate entrance comprises the steps that the rapid authentication end records information when a vehicle enters the gate and opens the gate, and if the information of the entering vehicle is inconsistent but the rapid authentication end does not record, the gate of the entrance end is still opened; the vehicle external information comprises license plate pictures, vehicle body length and width dimensions, hub pictures, tire pictures, head view pictures, tail view pictures and roof view pictures.
3. The method for authenticating the identity of the vehicle and the road cooperation is characterized in that the comparison comprises the steps of after extracting license plate picture features, alarming if the extracted features have no complete license plate number information, marking data with a license plate tag and outputting the data, and if the complete license plate number information exists, searching an original vehicle type corresponding to the license plate number and loading the feature information of the original vehicle type into a comparison module; the comparison module compares the difference between the color information of the original vehicle type and the new color information, if the difference color of the new color information compared with the color information of the original vehicle type is larger than a specified percentage, an alarm is given, the data is marked with a color label and output, and the next comparison is carried out; Comparing the length and width dimensions of the original vehicle model with the acquired length and width dimensions of the vehicle body, alarming if the difference of the length and width dimensions after comparison is larger than a specified value, marking the data with a vehicle body dimension label and outputting the data, and performing the next comparison; Comparing the acquired size structural information of the four wheel hubs with the size of the wheel hubs of the original vehicle model, and alarming if the size difference is larger than a preset value, respectively comparing the size consistency of the left wheel hub and the right wheel hub of the front drive with the size consistency of the left wheel hub and the right wheel hub of the rear drive if the size difference is smaller than or equal to the preset value, alarming if the size of the wheel hubs is inconsistent, marking the data with a wheel hub label, outputting the data, and performing the next comparison; Respectively comparing the difference degrees of the left and right tyre lines of the precursor with the difference degrees of the left and right tyre lines of the rear drive, giving an alarm if the difference degrees of the pattern lines are larger than a set threshold value, marking the data with a tyre line label, outputting the data, and performing the next comparison; Judging whether additional installation exists according to the information of the car roof visual angle picture, if not, performing next comparison, if so, calculating whether the height of the additional installation device meets the regulation, if not, alarming, labeling the data, outputting the data, and performing next comparison; according to the collected head view angle picture and tail view angle picture information, comparing the difference degree of the head and tail structural devices and the original vehicle type, alarming if the difference degree does not meet the preset condition, marking the data with a structural label and outputting the data; And if the comparison meets the preset conditions and regulations, collecting all comparison data for weighting calculation.
4. The method for authenticating the vehicle and the road cooperation according to claim 3, wherein the weighted calculation comprises the steps of calculating a degree value by weighting the color, the vehicle body size, the hub size, the tire tread, the mounting height and the influence of the vehicle body device on the vehicle driving safety respectively, wherein the degree value is expressed as a calculation formula, Wherein, the Represented as color visibility coefficients, fitted from the acquired color information, Expressed as the degree of color difference, Expressed in terms of the air density and, Representing the maximum travel speed of the vehicle for this purpose, Expressed as a vehicle resistance coefficient, obtained by the shape and streamline fitting of the original vehicle model, Represented as the area of the front end of the vehicle, Expressed as the maximum lateral load bearing capacity of the vehicle while it is traveling, Expressed as the amount of the difference in the length-width dimension, Represented by the height of the attachment means, Expressed as a wheel hub influence coefficient, is fitted from the measured influence of the wheel hub size on the vehicle resistance coefficient, Expressed as the degree of difference in the dimensions of the hubs, Represented as the reference depth of the tread pattern, Expressed as the measured tread depth, Expressed as the degree of variation in the pattern of the tire, Expressed as a structural device coefficient, is obtained by fitting the structural devices at the front end and the rear end of the original vehicle model, Expressed as structural device variability.
5. The vehicle-road collaborative identity authentication method according to claim 4, wherein the alarming comprises the steps of performing withholding consignment processing on a vehicle outputting alarming operation, sending tagged data to a vehicle owner terminal, stopping the vehicle to run, and recovering the running right until the vehicle is detected again and meets the requirement; The tracking comprises the steps of for a vehicle outputting warning operation, sending data with the largest difference degree to a vehicle owner terminal, opening a gate outlet, and allowing running, wherein the vehicle is tracked, and needs to be detected again within a preset time interval and meets the requirements.
6. A system adopting the vehicle-road collaborative identity authentication method according to any one of claims 1-5, which is characterized by comprising a collecting camera, a measuring radar, a communication module, a rapid authentication end and a server authentication end; the server authentication end comprises a comparison module, an alarm module, a processing unit, a system encryption module and an identity recognition module; The characteristic extraction module and the data storage module are both in signal connection with the processing unit of the quick authentication end; The processing unit of the server authentication end is in signal connection with the comparison module, the system encryption module and the identity recognition module, and the comparison module is in signal connection with the alarm module.
7. The system of the vehicle-road collaborative identity authentication method of claim 6, wherein the fast authentication end is connected with the server authentication end through a communication module, and a processing unit of the fast authentication end is connected with a processing unit of the server authentication end 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 invokes the vehicle data information of the police system end through the cloud server end; And the comparison module compares the vehicle information of the police system end with the information shot by the quick authentication end, and is connected with the police system end through the alarm module when the vehicle information and the information do not meet the conditions.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of a vehicle-road collaborative identity authentication method according to any one of claims 1 to 5.
9.A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of a vehicle-road collaborative identity authentication method according to any one of claims 1 to 5.

Description

Identity authentication method and system for vehicle-road cooperation Technical Field The invention relates to the technical field of identity authentication, in particular to a vehicle-road collaborative identity authentication method and a vehicle-road collaborative identity authentication system. Background The vehicle-road cooperation is to implement dynamic real-time information interaction between vehicles and roads in all directions by adopting advanced wireless communication, new generation internet and other technologies, and to develop active safety control and road cooperation management of the vehicles on the basis of full-time empty dynamic traffic information acquisition and fusion. Various messages received in the cooperative scene of the vehicle and the road, especially for emergency, safety event and other messages, must be ensured to be sent from legal nodes. In the existing traffic management system, especially in the equal-span roads of the expressway, the conventional real-time vehicle identification system is used, and the identification process is longer due to the fact that the network bandwidth is insufficient and other multi-party factors. Disclosure of Invention The present invention has been made in view of the above-described problems. Therefore, the invention aims to solve the problem that the conventional real-time vehicle identification system often causes the identification process to be longer because of a plurality of factors such as insufficient network bandwidth and the like. The technical scheme includes that when a vehicle runs to a gate entrance, a camera and a measuring radar collect vehicle external information and send the information to a quick authentication end, the quick authentication end opens the gate entrance after receiving the vehicle external information, the vehicle enters the gate, extracts characteristic quantities in the vehicle external information and sends the characteristic quantities to a server authentication end through a communication module, the server authentication end compares the characteristic quantities with information in a police system end, alarms are carried out if the difference degree of the characteristic quantities is larger than a set threshold value, weighting calculation is carried out if the difference degree of the characteristic quantities is smaller than the set threshold value, a gate exit is opened if the calculated value is still smaller than the threshold value, warning is carried out if the calculated value is larger than the set threshold value, the vehicle information is stored, and the vehicle is tracked. The vehicle and road collaborative identity authentication method is characterized in that the gate opening comprises the steps that information when a vehicle enters a gate is recorded by a rapid authentication end and the gate is opened, if the information of the entering vehicle is inconsistent but the rapid authentication end is not recorded, the gate at the gate end is still opened, and the vehicle external information comprises license plate pictures, length and width dimensions of the vehicle, hub pictures, tire pictures, head view pictures, tail view pictures and roof view pictures. The method comprises the steps of extracting feature quantities in external information of a vehicle, locking preset feature points of a received picture, extracting all feature quantities on the feature points to define original picture features, carrying out Gaussian noise reduction processing on the received picture after extraction to obtain a class of picture, collecting color information at the position of the feature points of the class of picture, carrying out gray processing on the class of picture after collection to obtain a class of picture, collecting structural information at the feature point position of the class of picture, reconstructing a piece according to the color information to obtain a class of reconstructed picture, comparing the class of reconstructed picture with the original picture features, calculating feature distance between the class of reconstructed picture and the original picture features to define reconstruction loss, calculating feature distance between the class of reconstructed picture and the class of reconstructed picture, calculating the feature distance between the class of reconstructed picture and the class of picture to obtain the distance loss, carrying out weighted sum on the reconstruction loss between the reconstruction loss and the class of reconstructed picture and the original picture based on the feature distance between the class of reconstructed picture and the class of reconstructed picture, stopping the class of picture when the loss and the iteration loss is smaller than or equal to a set threshold value after collection, carrying out iteration calculation on the class of the reconstructed picture and the iteration loss, carrying out weighted sum on the reconstructi