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Chapter 40 Target Localization and Tracking of Unmanned Mining Equipment Based on Multi-sensor Information Fusion Technology

机译:第40章基于多传感器信息融合技术的无人采矿设备目标定位与跟踪

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摘要

The accurate localization is very important for mobile devices to make right decisions about autonomous path planning, avoiding obstacles and finishing other complex tasks. This paper presents a research on the localization and tracking technology of autonomous underground mining equipment. Two types of Kalman filters are considered as information fusion method: multi-sensor multi-model adaptive Kalman filtering and weighted adaptive multiple model Kalman filtering.
机译:准确的本地化对于移动设备来说非常重要,以做出关于自主路径规划的正确决策,避免障碍和完成其他复杂任务。本文介绍了自主地下采矿设备本地化和跟踪技术研究。两种类型的卡尔曼过滤器被认为是信息融合方法:多传感器多模型自适应卡尔曼滤波和加权自适应多模型卡尔曼滤波。

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