SLAM-Assisted Coverage Path Planning for Indoor LiDAR Mapping Systems

TL;DR

This paper integrates offline coverage path planning with online SLAM for indoor LiDAR mapping, introducing modifications to improve coverage efficiency and path continuity in autonomous navigation.

Contribution

It proposes novel modifications to classic offline CPP and SLAM to enable effective indoor mapping with continuous coverage and adaptable initial points.

Findings

Improved total area coverage in indoor LiDAR mapping

Effective integration of offline CPP with online SLAM

Enhanced path continuity and error evaluation

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.