[HTML][HTML] Distance estimation of a sound source using the multiple intensity vectors

IJ Jung, JG Ih - The Journal of the Acoustical Society of America, 2020 - pubs.aip.org
The three-dimensional acoustic intensimetry employing multiple probe-modules are
implemented for estimating the source distance by calculating the nearest intersection points …

DroneChase: A Mobile and Automated Cross-Modality System for Continuous Drone Tracking

N Vora, Y Wu, J Liu, P Nguyen - Proceedings of the Ninth Workshop on …, 2023 - dl.acm.org
This paper presents DroneChase, an automated sensing system that monitors acoustic and
visual signals captured from a nearby flying drone to track its trajectory in both line-of-sight …

Disambiguation of measurements for multiple acoustic source localization using deep multi-dimensional assignments

MS Ayub, J Chen, A Zaman - Digital Signal Processing, 2023 - Elsevier
The location estimation of multiple simultaneously active sources in an acoustic sensor
network is quite challenging because the correct combination of measurements received …

The hybrid Cramér-Rao lower bound for simultaneous self-localization and room geometry estimation

M Veisman, Y Noam, S Gannot - EURASIP Journal on Advances in Signal …, 2021 - Springer
This paper addresses the problem of tracking a moving source, eg, a robot, equipped with
both receivers and a source, that is tracking its own location and simultaneously estimating …

[图书][B] UAV detection and classification using radar, radio frequency and machine learning techniques

MC Ezuma - 2022 - search.proquest.com
Unmanned aerial vehicles (UAVs or drones) have been receiving a lot of attention in civilian
space. Many small and low-cost UAVs are finding applications in areas such as commercial …

Low-altitude protection technology of anti-UAVs based on multisource detection information fusion

S Chen, Y Yin, Z Wang, F Gui - International Journal of …, 2020 - journals.sagepub.com
Nowadays, unmanned aerial vehicles (UAVs) have achieved massive improvement, which
brings great convenience and advantage. Meanwhile, threats posed by them may damage …

A Survey on Detection, Classification, and Tracking of Aerial Threats using Radar and Communications Systems

W Khawaja, M Ezuma, V Semkin, F Erden… - arXiv preprint arXiv …, 2024 - arxiv.org
The use of unmanned aerial vehicles (UAVs) for a variety of commercial, civilian, and
defense applications has increased many folds in recent years. While UAVs are expected to …

Unmanned aerial vehicle detection and identification using deep learning

H Liu - 2021 International Wireless Communications and …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) detection and identification technology are two of the key
technologies of UAV supervision. This paper proposes a UAV detection and identification …

Optimized Route Planning and Precise Circle Detection in Unmanned Aerial Vehicle with Machine Learning

A Garg, P Mishra, N Mishra - … on Cognitive Computing and Cyber Physical …, 2023 - Springer
This research paper presents a distributed architecture for optimized route planning and
precise circle detection in unmanned aerial vehicle with machine learning. The architecture …

Precise acoustic drone localization and tracking via drone noise: Steered response power-phase transform around harmonics

S Uluskan - International Journal of Aeroacoustics, 2024 - journals.sagepub.com
This study introduces a new method for precise acoustic drone localization and tracking via
the noise generated by the drone. Drone noises include harmonic frequency components …