Intersection anti-collision warning system based on pedestrian tracking algorithm

A pedestrian tracking and intersection technology, applied in the fields of traffic safety and image recognition, can solve the problems of small warning effect, inability to achieve danger warning effect, prompt or early warning, etc.

Pending Publication Date: 2022-04-05
江苏集萃未来城市应用技术研究所有限公司
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing products on the market use radar and cameras to detect intersections. When pedestrians or vehicles are about to pass through the intersection, they will warn through voice or LED screens. Or non-motorized vehicles pass, no matter whether there is danger or not, it will be prompted. Over time, when people get used to it, the warning effect will become smaller and smaller, and the real danger warning effect will not be achieved.

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
  • Intersection anti-collision warning system based on pedestrian tracking algorithm
  • Intersection anti-collision warning system based on pedestrian tracking algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] Such as figure 1 As shown, a kind of intersection anti-collision warning system based on pedestrian tracking algorithm of the present invention comprises the following steps:

[0020] Step 1: The monitoring unit is the camera installed on the traffic light pole to monitor pedestrians and bicycles on the road, and transmit the video information to the edge computing box in real time.

[0021] Step 2: The edge computing box performs target detection based on the surveillance video of the camera, and detects pedestrians and vehicles in the video.

[0022] Step 3: On the basis of step 2, the edge computing box tracks and predicts pedestrians and vehicles in the video according to the integrated correlation filter-based full convolutional network...

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 invention discloses an intersection anti-collision warning system based on a pedestrian tracking algorithm, which comprises a monitoring unit, a collision judgment unit, an early warning unit and a grid drawing and early warning rule configuration system, and is characterized in that the monitoring unit comprises a camera and a millimeter wave radar for monitoring real-time information of pedestrians and vehicles; the collision judgment unit comprises an edge calculation box integrated with a target detection algorithm and a pedestrian tracking algorithm and an industrial control host, and can calculate whether collision occurs or not according to the information acquired by the monitoring unit; the early warning unit comprises light-emitting floor tiles, an LED display screen and a directional sound box and is used for sending out early warning information to vehicles and pedestrians possibly colliding with each other. The grid drawing and early warning rule configuration system can perform grid drawing on a camera identification area and perform configuration and modification on an early warning rule. According to the invention, early warning can be given to pedestrians and vehicles in advance to reduce the probability and intensity of traffic accidents when the pedestrians do not comply with traffic rules or the sight is blocked and the like.

Description

technical field [0001] The invention relates to the fields of traffic safety and image recognition, in particular to an intersection anti-collision warning system based on a target detection algorithm and a correlation filtering full convolution network target tracking algorithm. Background technique [0002] Vulnerable road users (pedestrians, cyclists, and other small vehicle occupants) still enjoy limited protection relative to motor vehicles and their drivers. According to the World Health Organization's global status report on road safety, about 1.25 million people died in road traffic accidents worldwide in 2015, and nearly half of the traffic accident deaths were vulnerable road users. According to statistics from the Ministry of Public Security of China, there were more than 200,000 road traffic accidents involving casualties across the country in 2012, resulting in nearly 60,000 deaths, among which the death toll of vulnerable road users accounted for 71.8% of the t...

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 Applications(China)
IPC IPC(8): G08G1/16G08G1/09
Inventor 付华彪王庆张昊陈强峰汤立凡
Owner 江苏集萃未来城市应用技术研究所有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products