Real-time drone detection using deep learning approach
The arbitrary use of drones poses great threat to public safety and personal privacy. It is
necessary to detect the intruding drones in sensitive areas in real time. In this paper, we …
necessary to detect the intruding drones in sensitive areas in real time. In this paper, we …
Sound event localization based on sound intensity vector refined by DNN-based denoising and source separation
We propose a direction-of-arrival (DOA) estimation method for Sound Event Localization
and Detection (SELD). Direct estimation of DOA using a deep neural network (DNN), ie …
and Detection (SELD). Direct estimation of DOA using a deep neural network (DNN), ie …
AD-YOLO: You look only once in training multiple sound event localization and detection
Sound event localization and detection (SELD) combines the identification of sound events
with the corresponding directions of arrival (DOA). Recently, event-oriented track output …
with the corresponding directions of arrival (DOA). Recently, event-oriented track output …
DOA estimation using amateur drones harmonic acoustic signals
Drone localization plays an important role in anti-drone systems, which are designed for
alleviating the threats brought by the illegal use of amateur drones. For the realization of …
alleviating the threats brought by the illegal use of amateur drones. For the realization of …
Wearable SELD dataset: Dataset for sound event localization and detection using wearable devices around head
Sound event localization and detection (SELD) is a combined task of identifying the sound
event and its direction. Deep neural networks (DNNs) are utilized to associate them with the …
event and its direction. Deep neural networks (DNNs) are utilized to associate them with the …
[HTML][HTML] On-line sound event localization and detection for real-time recognition of surrounding environment
Abstract Sound Event Localization and Detection (SELD) is a task of simultaneously
identifying sound events and their locations. The existing methods perform SELD in the off …
identifying sound events and their locations. The existing methods perform SELD in the off …
Drone Detection Method Based on the Time-Frequency Complementary Enhancement Model
H Dong, J Liu, C Wang, H Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Drone audio detection methods have become a key component of anti-drone systems.
Traditional audio feature extraction methods have problems such as large fluctuations in …
Traditional audio feature extraction methods have problems such as large fluctuations in …
Echo-aware adaptation of sound event localization and detection in unknown environments
M Yasuda, Y Ohishi, S Saito - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Our goal is to develop a sound event localization and detection (SELD) system that works
robustly in unknown environments. A SELD system trained on known environment data is …
robustly in unknown environments. A SELD system trained on known environment data is …
Prototype Optical Bionic Microphone with a Dual-Channel Mach–Zehnder Interferometric Transducer
X Liu, C Cai, K Ji, X Hu, L Xiong, Z Qi - Sensors, 2023 - mdpi.com
A prototype optical bionic microphone with a dual-channel Mach–Zehnder interferometric
(MZI) transducer was designed and prepared for the first time using a silicon diaphragm …
(MZI) transducer was designed and prepared for the first time using a silicon diaphragm …
无人机声学定位技术综述.
陈鹏， 陈洋， 王威 - Journal of South China University of …, 2022 - search.ebscohost.com
近年来“低小慢” 无人机的过快增长, 肆意飞行严重威胁了城市安防和公众安全.
如何在复杂低空环境下有效地定位“低小慢” 无人机, 成为亟待解决的社会问题. 由于雷达 …
如何在复杂低空环境下有效地定位“低小慢” 无人机, 成为亟待解决的社会问题. 由于雷达 …