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An effective Image feature-based (keypoint) occupancy grid map-merging approach for collaborative SLAM.

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Feature-Based Occupancy Map-Merging for Collaborative SLAM

Given two overlapping 2D occupancy grid maps, the map-fusion algorithm establishes an association between the individual maps and fuses them to construct a global map of the environment. This repo presents a map fusion approach based on image key points implemented in Matlab. The figure below gives an overview.

Overview

About the implementation:

  • This is a simple Matlab implementation that requires Matlab's Computer Vision Toolbox.
  • The code is only for demonstration; some parts may be inefficient.
  • To get started, just run:
Occupancy-Grid-Map-Fusion/mapFusionMAIN.m

For more details, please refer to the MDPI journal.

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An effective Image feature-based (keypoint) occupancy grid map-merging approach for collaborative SLAM.

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