How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion

Juann Kim, Youngseo Kim, Heeyeon Shin, Yaqin Wang, Eric Matson

2023

Abstract

The recent successes of drone detection models show that leveraging the decision fusion of audio-based and vision-based features can achieve high accuracy, instead of only using unitary features. In this paper, we propose to estimate how far can a drone be detected in different distances. Drone-to-drone dataset for were collected separately using a camera and a microphone. The data are evaluated using deep learning and machine learning techniques to show how far can a drone be detected. Two different types of sensors were used for collecting acoustic-based features and vision-based features. Convolutional Neural Network (CNN) and Support Vector Machine (SVM) are utilized with audio-based features, which are Mel-Frequency Cepstral Coefficients (MFCC) and Log-Mel Spectrogram. YOLOV5 is adopted for visual feature extraction and drone detection. Ultimately, by using the sensor fusion of both domains of audio and computer vision, our proposed model achieves high performances in different distances.

Paper Citation

in Harvard Style

Kim J., Kim Y., Shin H., Wang Y. and Matson E. (2023). How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 877-884. DOI: 10.5220/0011791000003393

in Bibtex Style

@conference{icaart23,
author={Juann Kim and Youngseo Kim and Heeyeon Shin and Yaqin Wang and Eric Matson},
title={How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={877-884},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011791000003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion
SN - 978-989-758-623-1
AU - Kim J.
AU - Kim Y.
AU - Shin H.
AU - Wang Y.
AU - Matson E.
PY - 2023
SP - 877
EP - 884
DO - 10.5220/0011791000003393