An Automatic Detection Method of Traffic Accidents Based on Collision Sound

A traffic accident and automatic detection technology, applied in traffic flow detection, measurement devices, measurement of ultrasonic/sonic/infrasonic waves, etc., can solve the problems of large computational complexity, unfavorable real-time detection, low misjudgment rate, and inability to achieve results.

Active Publication Date: 2011-12-14
ANHUI SANLIAN APPLIED TRAFFIC TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Most of the existing detection algorithms based on audio signals are conducted offline experiments in a laboratory environment. For limited specific samples, a high detection rate and a low false positive rate have been achieved.
However, for the actual complex traffic environment, the sound signal changes in various ways, and the ideal effect cannot be achieved; some algorithms also have the disadvantage that the huge amount of calculation is not conducive to real-time detection

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
  • An Automatic Detection Method of Traffic Accidents Based on Collision Sound
  • An Automatic Detection Method of Traffic Accidents Based on Collision Sound
  • An Automatic Detection Method of Traffic Accidents Based on Collision Sound

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention simultaneously adopts the energy distribution of the acoustic signal in the time domain, the energy distribution in the frequency domain and the autocorrelation function (Auto Correlation Function, ACF) as features for identifying the collision sound of traffic accidents, wherein the energy distribution in the frequency domain is extracted by wavelet. Specific steps are as follows:

[0028] 1) Collect the acoustic signal and divide it into frames;

[0029] 2) Time-domain total energy distribution detection, if the collision condition is met, go to 3), otherwise go to 5);

[0030] 3) Frequency-domain energy distribution detection based on wavelet, if the collision condition is met, go to 4), otherwise go to 5);

[0031] 4) Detect ACF, if the condition of collision is met, send an alarm signal, otherwise go to 5);

[0032] 5) Wait for data collection until the next frame of data is full, and proceed to the next frame of processing.

[0033] The en...

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 relates to an automatic detection method for traffic accidents based on collision sound. The collected sound signals are divided into frames, and the total energy distribution in the time domain is detected first. Processing of one frame; next, judge the energy distribution in the frequency domain, use wavelet to extract the characteristic components of the energy distribution and judge, if the collision condition is met, further recognition will be carried out, otherwise, it will directly jump out and wait for the processing of the next frame; finally, perform ACF detection , if the condition of collision is met, it is judged as a collision sound, otherwise, it waits for the processing of the next frame. The invention can suppress the calculation amount to the minimum while improving the detection accuracy rate and reducing the false alarm rate.

Description

technical field [0001] The invention relates to the technical field of automatic detection of traffic accidents, in particular to a method for detecting traffic accidents using sound signals. Background technique [0002] Compared with the development of automatic incident detection technology, the research on major traffic accident detection lags behind. Traditional traffic incident detection devices are mainly divided into vehicle detection equipment based on magnetic frequency signals, vehicle detection equipment based on spectrum signals and vehicle detection equipment based on video signals. However, various sensors including cameras, ultrasonic waves, and microwaves are used to detect traffic incidents, mainly focusing on macroscopic road traffic flow information such as road flow, vehicle occupancy, traffic density, etc. The detection of microscopic phenomena such as traffic accidents is indirect. ,not effectively. At present, the most effective method of calling th...

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): G08G1/01G01H17/00
Inventor 金会庆宋扬
Owner ANHUI SANLIAN APPLIED TRAFFIC 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap