Method and device for identifying rail traffic conditions

Abstract

The invention discloses a method and a device for identifying rail traffic conditions. The method includes: acquiring the first image information taken by the short-focus camera and the second image information taken by the long-focus camera; acquiring scanning information within a predetermined distance ahead of the vehicle obtained by laser radar scanning; and based on preset logic fusion rules Carry out fusion logic analysis on each piece of first image information, each piece of second image information and scanning information, and identify abnormal conditions within a predetermined distance in front of the vehicle according to the analysis results; wherein, the abnormal conditions refer to the presence of signals, obstacles or Any one or more types of track switches. The technical solution disclosed in the present invention adopts the combination of long and short focus and radar scanning, which can provide the driver with sufficient reaction time to the situation ahead, reduce the risk of untimely response, and improve the safety protection effect. According to the short focus image, the Accuracy in identifying the road ahead.

Description

technical field [0001] The invention belongs to the field of urban traffic, in particular to a method and device for identifying rail traffic conditions. Background technique [0002] With the rapid development of urban rail transit, the safety, reliability and efficient operation of the urban rail transit system are particularly critical. However, at present, the efficiency of manual driving is relatively low. There are many reasons for this, such as inexperienced drivers and excessive driving fatigue. These factors lead to relatively low safety and efficiency. Therefore, it is necessary to study the autonomous environment perception of trains. However, there are still many shortcomings in the current domestic train autonomous environment perception, especially in the collision avoidance system, which need to be improved, such as: low protection efficiency and so on. Contents of the invention [0003] The embodiment of the present invention provides a method for identify...

AI Technical Summary

Problems solved by technology

However, at present, the efficiency of manual driving is relatively low. There are many reasons for this, such as inexperienced drivers and excessive driving fatigue. These factors lead to relatively low safety and efficiency. Therefore, it is necessary to study the autonomous environment perception of trains.

However, at present, there are still many shortcomings in the autonomous environment perception of domestic trains, especially in the anti-collision system, which need to be improved, such as: low protection efficiency, etc.

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