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视觉-惯性测量单元融合,同时定位和映射算法研究复杂地形在露天矿山

Yuanbin Xiao1,2, Wubin Xu2,3, Bing Li1,2

  • 1School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
概括

本研究介绍了智能采矿机器人增强的同时定位和映射 (SLAM) 系统,改进了视觉惯性数据融合,用于在具有挑战性的露天采矿环境中精确导航.

关键词:
斯拉姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯线路特征提取 线路特征提取这是一座露天矿山.点融合特征是点融合特征.

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