Abstract
In the past many solutions for simultaneous
localization and mapping (SLAM) have been
presented. Recently these solutions have been
extended to map large environments with six degrees
of freedom (DoF) poses. To demonstrate the
capabilities of these SLAM algorithms it is common
practice to present the generated maps and
successful loop closing. Unfortunately there is
often no objective performance metric that allows to
compare different approaches. This fact is
attributed to the lack of ground truth data. For
this reason we present a novel method that is able
to generate this ground truth data based on
reference maps. Further on, the resulting reference
path is used to measure the absolute performance of
different 6D SLAM algorithms building a large urban
outdoor map.
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