Parallel OctoMapping: A Scalable Framework for Enhanced Path Planning in Autonomous Navigation
🤖 AI Summary
This work addresses the limitations of fixed-resolution mapping methods, which often yield overly conservative obstacle representations that lead to planning failure or suboptimal paths in complex environments. To overcome this, we propose a parallelized OctoMap-based mapping framework that, for the first time, refines free-space representation within a fixed-resolution grid while preserving map accuracy and compatibility with existing search-based planners. The framework leverages multi-threaded computation to significantly accelerate both mapping and planning processes. Experimental results demonstrate substantial improvements in pathfinding success rates and path quality in dense environments, alongside a marked increase in computational efficiency.
Application Category
📝 Abstract
Mapping is essential in robotics and autonomous systems because it provides the spatial foundation for path planning. Efficient mapping enables planning algorithms to generate reliable paths while ensuring safety and adapting in real time to complex environments. Fixed-resolution mapping methods often produce overly conservative obstacle representations that lead to suboptimal paths or planning failures in cluttered scenes. To address this issue, we introduce Parallel OctoMapping (POMP), an efficient OctoMap-based mapping technique that maximizes available free space and supports multi-threaded computation. To the best of our knowledge, POMP is the first method that, at a fixed occupancy-grid resolution, refines the representation of free space while preserving map fidelity and compatibility with existing search-based planners. It can therefore be integrated into existing planning pipelines, yielding higher pathfinding success rates and shorter path lengths, especially in cluttered environments, while substantially improving computational efficiency.
Problem
Research questions and friction points this paper is trying to address.
mapping
path planning
occupancy grid
autonomous navigation
obstacle representation
Innovation
Methods, ideas, or system contributions that make the work stand out.
Parallel OctoMapping
free space refinement
multi-threaded computation
occupancy grid
autonomous navigation
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