Application status and trend of roadheader pose detection based on machine vision

Relying on the characteristics of non-contact and rich information acquisition, machine vision technology has been widely used in the process of intelligent coal mining.In coal mining, the roadheader, as the main equipment of roadway tunneling, has the functions of cutting, transferring and transportation.Moreover, the operation of the roadheader mainly depends on manual operation, which restricts the efficiency of roadway tunneling.The position and posture detection of the roadheader not only provides reference for workers' operation, but also is conducive to the automation and intelligent operation of the roadheader, which is also conducive to the advancement of the intelligent process of the coal mine.It can not only alleviate the contradiction of mining imbalance, and reduce the labor intensity of workers.This paper analyzes the application status and development trend of machine vision technology in the position and posture detection of cantilever roadheader in recent years, studies the common problems of image preprocessing and position and posture detection model involved in various position and posture detection methods of cantilever roadheader.The redundancy of pose detection and the accuracy of feature extraction still need further research and breakthrough.