Mapping and localisation with sparse range data
We present an approach for indoor mapping and localization with a mobile robot using sparse range data, without the need for solving the SLAM problem. The paper consists of two main parts. First, a split and merge based method for dividing a given metric map into distinct regions is presented, thus...
Main Authors: | Schmidt, J (Author), Wong, CK (Author), Yeap, WK (Author) |
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Format: | Others |
Published: |
AUT University,
2011-12-21T03:10:22Z.
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Subjects: | |
Online Access: | Get fulltext |
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