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Two-Dimensional Axis Mapping Using LiDAR

delete2016-02-01
delete24
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M
Marc J. Gallant
J
Joshua A. Marshall *
DOI:10.1109/TRO.2015.2506162delete
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摘要

摘要

En 中文
This paper introduces two-dimensional axis mapping, which estimates axis maps (AMs) based on LiDAR measurements. An AM describes the dominant orientations of surfaces in an environment and is void of positional information. As a consequence of the directional nature of the map, there are significant differences compared with traditional mapping algorithms. Experimental results are presented from simulated, indoor, outdoor, and underground environments. One major application of AMs is for heading estimation. An example of this application is shown to effectively bound the growth of heading error in both an indoor and an outdoor environment.
Keyword:
Directional statistics
LiDAR
mapping
mobile robots
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期刊

IEEE Transactions on Robotics 封面图
IEEE Transactions on Robotics
IF:
10.5
论文数:
3.3K
被引数:
2.8W

机构

Q
queens university - canada
学者数:
1.8W
论文数: 1.7W
被引数: 29
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