Multiscale adaptive sampling in environmental robotics
Multiscale adaptive sampling in environmental robotics
复制标题
环境机器人中的多尺度自适应采样
DOI：
10.1109/mfi.2010.5604463
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
D. Blidberg
中科院分区：
文献类型：
--
作者：
Vadiraj Hombal;A. Sanderson;D. Blidberg
使用传感器使能的AUV观测空间分布的海洋现象涉及覆盖范围和分辨率之间的权衡。在本文中，自适应变化敏感的样本分布在这样的传感任务的性能进行评估使命的限制，如有限的测量时间和有限的车辆速度和均匀采样相比。考虑的四种算法的相对性能的特点是在测试功能的本地化。
Observation of spatially distributed oceanographic phenomena using sensor-enabled AUVs involves a trade-off between coverage and resolution. In this paper the performance of adaptive variation sensitive sample distributions in such a sensing task is evaluated under mission constraints such as finite measurement time and finite vehicle speed and compared to uniform sampling. The relative performance of the four algorithms considered is characterized in terms of localization of features in the test functions.