autonomous_drone_simulator

UAV Swarm Autonomous Missions for Animal Ecology Remote Sensing Studies

https://github.com/jennamk14/autonomous_drone_simulator

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: ieee.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.9%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

UAV Swarm Autonomous Missions for Animal Ecology Remote Sensing Studies

Basic Info
  • Host: GitHub
  • Owner: jennamk14
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 76.2 KB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 1
Created about 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

This tool allows users to test autonomous drone navigation policies in simulation, based on real-world drone missions. See getting_started.ipynb for detailed instructions on the provided scripts.

Funding Sources

This work was supported by the Imageomics Institute, which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under Award #2118240 (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Additional support was also provided by the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), which is funded by the US National Science Foundation under Award #2112606. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Developed for the paper: A Framework for Autonomic Computing for In Situ Imageomics. If you use this code, please consider citing it. @INPROCEEDINGS{10336017, author={Kline, Jenna and Stewart, Christopher and Berger-Wolf, Tanya and Ramirez, Michelle and Stevens, Samuel and Babu, Reshma Ramesh and Banerji, Namrata and Sheets, Alec and Balasubramaniam, Sowbaranika and Campolongo, Elizabeth and Thompson, Matthew and Stewart, Charles V. and Kholiavchenko, Maksim and Rubenstein, Daniel I. and Van Tiel, Nina and Miliko, Jackson}, booktitle={2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)}, title={A Framework for Autonomic Computing for In Situ Imageomics}, year={2023}, pages={11-16}, keywords={Social groups;Ecosystems;Wildlife;Machine learning;Data collection;Cameras;Object recognition;autonomous flight;UAVs;ecology;machine learning;computer vision;imageomics}, doi={10.1109/ACSOS58161.2023.00018}}

Owner

  • Name: Jenna Kline
  • Login: jennamk14
  • Kind: user

PhD Student @ The Ohio State University

Citation (CITATION.cff)

---
abstract: Autonomous drone mission simulator
authors:
  - family-names: Kline
    given-names: <Jenna M.>
    orcid: https://orcid.org/<0009-0006-7301-5774>
cff-version: 1.2.0
date-released: 2024-06-18
identifiers:
  - description: UAV Swarm Autonomous Missions for Animal Ecology Remote Sensing Studies
    type: url
    value: https://github.com/jennamk14/autonomous_drone_simulator
keywords:
  - imageomics
  - drone
  - simulation
  - ecology
  - herd
license: MIT
message: If you use this software, please cite it using these metadata.
repository-code: UAV Swarm Autonomous Missions for Animal Ecology Remote Sensing Studies
title: autonomous_drone_simulator
version: 1.0.0
doi: <DOI from Zenodo>
type: software
preferred-citation:
  type: software
  authors:
    - family-names: Kline
      given-names: Jenna
  title: Autonomous Drone Simulator for Animal Ecology Studies
  year: 2024

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