Authors: Upinder Kaur (@upinderKaur22), Praveen Abbaraju , Harisson McCarty (@hmccarty), and Richard Voyles.
This repository contains code as well as the clutter slices dataset.
Clutter Slices is a unique way to comprehend surroundings based on the distribution of objects in a space.
We present a novel dataset (Clutter_slices_data.zip) which contains 2D LIDAR scans of common spaces, such as Restrooms, corridors, staircases, and shared spaces.
These scans are analyzed using simple machine learning methods to derive a unique signature of these spaces.
This unique signature is used for recognition and classification purposes. We attained 93.5% accuracy with this approach in classifying spaces using the clutter Slices dataset.
For citing this dataset, please use the following citation:
@inproceedings{kaur_abbaraju_mccarty_voyles,
title={Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces},
author={Kaur, Upinder and Abbaraju, Praveen and McCarty, Harisson and Voyles, Richard M},
year = {2020},
}
Dataset also available at: https://github.com/upinderKaur22/CRL_ClutterSlices_dataset