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...

Full description

Bibliographic Details
Main Authors: Schmidt, J (Author), Wong, CK (Author), Yeap, WK (Author)
Format: Others
Published: AUT University, 2011-12-21T03:10:22Z.
Subjects:
Online Access:Get fulltext