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<p>In this paper, we introduce the Ground Plane Estimation and Navigation System (GPENS) designed for autonomous mining trucks operating in unstructured environments. GPENS employs an efficient method for modeling unstructured terrain, which enhances the segmentation of 3D point clouds and improves the accuracy of ground versus non-ground classification. The integrated system facilitates real-time processing from ground plane estimation through to road boundary detection, motion planning, and control, enabling the autonomous navigation and parking of mining trucks. Additionally, we present a unique dataset comprising annotated point clouds, collected from a real mining area using an actual mining truck. Our state-of-the-art algorithms demonstrate a performance increase over current ground plane estimation solutions, achieving a 2% improvement in precision. Utilizing GPENS, we successfully showcase a truck-trailer combination capable of both navigating and parking autonomously in the challenging conditions of a real-world mine.</p>

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GPENS: Ground Plane Estimation and Navigation System for Autonomous Mining Trucks

  • 期刊论文

  • 发表日期：

    2025年1月24日

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  • Eren Aydemir,
  • Mustafa Unel

摘要

In this paper, we introduce the Ground Plane Estimation and Navigation System (GPENS) designed for autonomous mining trucks operating in unstructured environments. GPENS employs an efficient method for modeling unstructured terrain, which enhances the segmentation of 3D point clouds and improves the accuracy of ground versus non-ground classification. The integrated system facilitates real-time processing from ground plane estimation through to road boundary detection, motion planning, and control, enabling the autonomous navigation and parking of mining trucks. Additionally, we present a unique dataset comprising annotated point clouds, collected from a real mining area using an actual mining truck. Our state-of-the-art algorithms demonstrate a performance increase over current ground plane estimation solutions, achieving a 2% improvement in precision. Utilizing GPENS, we successfully showcase a truck-trailer combination capable of both navigating and parking autonomously in the challenging conditions of a real-world mine.