Pedestrian early warning method and system for freeway entrance and exit

A technology for highways, entrances and exits, applied in the fields of instruments, biological neural network models, character and pattern recognition, etc., can solve problems such as unsatisfactory results, insufficient detail, and restricting the development of intelligent transportation systems.

Inactive Publication Date: 2018-09-21
SOUTH CHINA UNIV OF TECH
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the traffic abnormal state discrimination algorithms at home and abroad mainly include statistical algorithms, smoothing filter algorithms, catastrophe theory and artificial intelligence event detection algorithms, etc. Among them, the portability of statistical algorithms, smoothing filter algorithms and catastrophe theory algorithms is relatively poor, and the results are not good. satisfactory
Artific...

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
  • Pedestrian early warning method and system for freeway entrance and exit
  • Pedestrian early warning method and system for freeway entrance and exit
  • Pedestrian early warning method and system for freeway entrance and exit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0048] Such as figure 1 Shown, a kind of pedestrian warning method of expressway entrance and exit, comprises the following steps:

[0049] S1 collects pedestrian data sets and makes sample label files as training samples. Pedestrian sample data sets can be obtained by downloading standard databases from the Internet, or collected by cameras.

[0050] Requirements for data samples include:

[0051] A sample image must contain at least one pedestrian; the sample should be rich, including a variety of scenes, light intensities, and pedestrian poses; the size of the pedestrian target should be moderate, accounting for no more than 1 / 2 of the entire image.

[0052] The size and position of the target frame in the label file are adjusted through actual samples. The requirements for making labels include:

[0053] For the pedestrian targets whose proportion is less than 1 / 8 and greater than 1 / 2 in the sample, discard and do not mark; for the pedestrian targets that meet the size r...

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 a pedestrian early warning method and system for freeway entrance and exit. The method comprises the steps of collecting a pedestrian data set, making sample tag files as training samples, and extracting features of pedestrians from the training samples by using a convolutional neural network method; according to the extracted pedestrian features, iteratively training a region proposal network and a target detection network to obtain a pedestrian detection network model; and shooting road condition videos in real time, transmitting the videos to a trained pedestrian detection network model for obtaining target probabilities and target boxes of the pedestrians, immediately giving an alarm and prompting pedestrian position information. The quantity and the geographicpositions of the pedestrians are determined while real-time pedestrian detection is performed; and under the remote condition, the detection speed is high and the accuracy is high, so that the freewayemergency event processing efficiency is improved, the introduction of additional errors can be avoided, and the processing accuracy is ensured.

Description

technical field [0001] The invention relates to the field of video object detection, in particular to a pedestrian early warning method and system for expressway entrances and exits. Background technique [0002] As the severity of expressway accidents in our country increases year by year, it has now risen to the second place in the world. For every 11 deaths in traffic accidents, one person died on the highway, and the proportion of casualties in road traffic accidents increased year by year. The fatality rate and fatality ratio of expressways are 15.4% and 22.2% higher than national highways respectively. Therefore, it is necessary to accurately grasp the traffic operation status and detect abnormal situations in time for traffic management and emergency response strategies. [0003] One of the keys to reduce the rate of highway traffic accidents is to ensure that there are only vehicles on the highway. If someone accidentally enters the highway without noticing a pote...

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
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/10G06N3/045
Inventor 曾德炉贺鑫
Owner SOUTH CHINA UNIV OF TECH
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