Title: SLAM-Assisted Coverage Path Planning for Indoor LiDAR Mapping Systems,
Abstract: Applications involving autonomous navigation and planning of mobile agents
can benefit greatly by employing online Simultaneous Localization and Mapping
(SLAM) techniques, however, their proper implementation still warrants an
efficient amalgamation with any offline path planning method that may be used
for the particular application. In this paper, such a case of amalgamation is
considered for a LiDAR-based indoor mapping system which presents itself as a
2D coverage path planning problem implemented along with online SLAM. This
paper shows how classic offline Coverage Path Planning (CPP) can be altered for
use with online SLAM by proposing two modifications: (i) performing convex
decomposition of the polygonal coverage area to allow for an arbitrary choice
of an initial point while still tracing the shortest coverage path and (ii)
using a new approach to stitch together the different cells within the
polygonal area to form a continuous coverage path. Furthermore, an alteration
to the SLAM operation to suit the coverage path planning strategy is also made
that evaluates navigation errors in terms of an area coverage cost function.
The implementation results show how the combination of the two modified offline
and online planning strategies allow for an improvement in the total area
coverage by the mapping system - the modification thus presents an approach for
modifying offline and online navigation strategies for robust operation.