Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A visual simulation method and system for traffic data based on AI recognition

A simulation method and traffic data technology, applied in the direction of design optimization/simulation, character and pattern recognition, special data processing applications, etc., can solve the problem of inability to effectively complete the spatio-temporal behavior analysis of video target objects, regional state monitoring, large data volume, traffic problems, etc. To solve problems such as limited information, achieve the effect of simple and easy to operate, improve the level and efficiency, and facilitate the error correction of driving trajectory

Active Publication Date: 2021-08-10
四川见山科技有限责任公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the large amount of road monitoring video data, the traffic information obtained from the fixed shooting angle of the monitoring video is limited. Only relying on the monitoring image data cannot effectively complete many complex monitoring tasks such as the temporal and spatial behavior analysis of video target objects and regional state monitoring.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A visual simulation method and system for traffic data based on AI recognition
  • A visual simulation method and system for traffic data based on AI recognition
  • A visual simulation method and system for traffic data based on AI recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] see figure 1 , the present embodiment provides a traffic data visualization simulation method based on AI identification, the method includes the following steps:

[0077] S1. Build a digital twin city based on a real city;

[0078] Specifically, the map of the city is obtained, and according to the map data, a digital twin city is built in the development platform according to the real ratio. The development platform includes UE4, Unity, Unigine, OSG. Preferably, in this embodiment, the UE4 development platform.

[0079] S2. Obtain the real road monitoring video corresponding to the digital twin city, and divide the preset driving area in the digital twin city according to the monitoring area of ​​the monitoring video;

[0080] Specifically, the road monitoring video includes the aerial video of the UAV and the video taken by the road monitoring camera, wherein the aerial video of the UAV needs to be photographed obliquely, and the front or rear of the vehicle needs ...

Embodiment 2

[0165] Corresponding to the above method embodiment, the embodiment of the present disclosure also provides a traffic data visualization simulation system based on AI recognition, the traffic data visualization simulation system based on AI recognition described below is the same as the traffic data visualization simulation system based on AI recognition described above Data visualization simulation methods can be used for mutual reference.

[0166] The system includes the following modules:

[0167] Modeling unit: build a digital twin city based on a real city;

[0168] Receiving unit: obtain the real road monitoring video corresponding to the digital twin city, and divide the preset driving area in the digital twin city according to the monitoring area of ​​the monitoring video;

[0169] Recognition unit: divide the monitoring video according to the number of frames to obtain several frames of images, identify vehicle information in each frame of images, and the vehicle inf...

Embodiment 3

[0182] Corresponding to the above method embodiment, the embodiment of the present disclosure also provides a traffic data visualization simulation device based on AI recognition, a congestion simulation device based on real-time traffic data described below and an AI recognition-based simulation device described above The visualization simulation methods of traffic data can be referred to each other.

[0183] The electronic device may include: a processor and a memory. The electronic device may also include one or more of a multimedia component, an input / output (I / O) interface, and a communication component.

[0184] Wherein, the processor is used to control the overall operation of the electronic device, so as to complete all or part of the steps in the above-mentioned traffic data visualization simulation method based on AI recognition. The memory is used to store various types of data to support the operation of the electronic device, such data may include instructions fo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention relates to the technical field of intelligent transportation, in particular to a traffic data visualization simulation method and system based on AI recognition, including: building a digital twin city based on a real city; obtaining road monitoring video corresponding to the digital twin city; Segment the monitoring video to obtain several frames of images, identify the vehicle information in each frame of images, and calculate the offset coordinates of the vehicle; store the vehicle information in the several frames of images in the data table, and record the occurrence of each vehicle The starting frame number at the time; traverse the data table according to the computer drawing time, read the vehicle information, and when traversing to the starting frame number, generate a simulated vehicle at the corresponding offset coordinates in the digital twin city scene. The invention is used to solve the technical problem that due to the large amount of road monitoring video data, it is impossible to effectively complete many complex monitoring tasks such as temporal and spatial behavior analysis of video target objects and regional state monitoring only relying on monitoring image data.

Description

technical field [0001] The present invention relates to the technical field of intelligent transportation, in particular to a method and system for visual simulation of traffic data based on AI recognition. Background technique [0002] In the process of urban construction and management, the road monitoring system plays an important role in the prevention and control of public security. The road monitoring points in the city are mainly distributed at road intersections and key road sections where traffic and people flow are relatively concentrated. Through image / video transmission channels Upload the road traffic conditions to the road monitoring and command center, and the personnel on duty at the center can keep abreast of the road conditions in each area in order to adjust the vehicle flow at each intersection and ensure smooth traffic. Or for monitoring violations of road vehicles, it can timely discover and arrange to deal with road traffic accidents, etc., and provide...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06F30/20
CPCG06F30/20G06V20/42G06V20/54G06V2201/08
Inventor 罗德宁高旻张严辞亢林涛何轶郭美段强陶李彭林春
Owner 四川见山科技有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products