Position Monitoring System for Roadheaders Based on Machine Vision
Abstract：To address the issues of low accuracy and poor stability in the position monitoring of roadheaders during coal mine tunneling, a binocular vision positioning method is adopted. The infrared filter is used to capture the target features, combined with HSV color space conversion and feature point matching algorithms to extract 3D spatial coordinates. By integrating machine vision with inertial navigation technology, high-precision position monitoring is achieved through non-contact measurement, and a composite position monitoring system based on machine vision is proposed. This system improves the accuracy and operational safety of roadheaders in complex environments and supports intelligent functions such as path planning and automatic cutting.
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Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 71-74 )