Unlock instant, AI-driven research and patent intelligence for your innovation.

A Railway Obstacle Detection Method Based on Online Learning

A technology for obstacle detection and railways, applied in the field of image processing, can solve problems such as undetectable curves, achieve the effects of reducing workload, improving accuracy, and reducing false detection rates

Inactive Publication Date: 2016-08-10
ZHEJIANG ICARE VISION TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can quickly and effectively locate the position of the rail, and at the same time solve the problem that the curve cannot be detected

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 Railway Obstacle Detection Method Based on Online Learning
  • A Railway Obstacle Detection Method Based on Online Learning
  • A Railway Obstacle Detection Method Based on Online Learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with accompanying drawings and embodiments.

[0037] In order to solve the shortcomings of the traditional obstacle detection method, the present invention proposes an obstacle detection method based on online learning. Implementation process such as figure 1 As shown, it is mainly divided into two parts: rail positioning and obstacle detection. The specific steps are as follows:

[0038] 1. Track positioning

[0039] Track positioning is divided into two steps:

[0040] 1. Railway track information extraction

[0041] a) calculate image gradient, the present invention has adopted SOBEL operator in realization process, as follows:

[0042] 1 0 - 1 2 0 ...

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 a railway obstacle detecting method based on on-line study. By a traditional method, only image edge information is utilized and meanwhile the railway is supposed to be a straight line state in the image, so that railway detecting is incomplete or the bending rail cannot be detected. The railway obstacle detecting method includes firstly performing a railway positioning, and then performing an obstacle detecting in railway areas. The railway positioning includes extracting railway information and utilizing dynamic planning to position railway information. The obstacles detecting includes railway segmentation, texture description, on-line study and detecting obstacles. By the aid of the dynamic planning method, accuracy of straight railway positioning is improved, and bending railway positioning is realized. As for obstacle detecting, a mechanical study method is adopted for performing real-time analysis and statistics of railway states and judging whether an obstacle exists on current roadbed of the railway or not according to a statistic analysis result, so that false detection rate of the obstacle detecting is effectively reduced, train driving can be assisted and workload of afterwards analyzing train mounted video is remarkably reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for detecting railway obstacles based on online learning. Background technique [0002] Train safety driving has always been a popular research topic. Tens of thousands of people die in railway traffic every year in our country, but unfortunately there has not yet been a very sound train safety driving system. The research of obstacle detection method is very meaningful. [0003] The front obstacle detection methods based on vehicle sensors are mainly divided into two categories: one is the method based on non-visual sensors such as millimeter radar, laser radar, and ultrasonic; the other is the visual obstacle detection method based on the camera. The current research on the latter has problems such as inaccurate rail positioning and high false detection rate of obstacle detection. The main reason is that the traditional method of rail positioning only uses the ...

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): G06K9/00G06K9/66G06K9/46
Inventor 尚凌辉林国锡张兆生高勇
Owner ZHEJIANG ICARE VISION TECH