面向深海集矿机定位的数据融合 - 中南大学学报（自然科学版、英文版） 关键字: 深海集矿机；定位；数据融合；卡尔曼滤波[gap=1070]Key words: deep-seabed mining vehicle; orientation; data fusion; Kalman filter
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Meanwhile, it discusses developing trend and study emphasis for deep seabed mining robot vehicle.
探讨了深海底采矿机器车的发展趋势和未来的研究重点。
On the effect of environment and mining vehicle itself, deep seabed Self-propelled tracked mining machine mining process has characteristics of unknown, random, and nonlinear etc.
深海自行走履带采矿车作业过程，受到作业环境和采矿车自身的影响，具有未知性、随机性、非线性等特性。
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