Design and Implementation of Real-Time Visualization of Sound Source Positions by Drone Audition

Wakabayashi, Mizuho; Washizaka, Kai; Hoshiba, Kotaro; Nakadai, Kazuhiro; Okuno, Hiroshi G.; Kumon, Makoto

doi:10.1109/sii46433.2020.9025940

Cited by 6 publications

(12 citation statements)

References 19 publications

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“…Therefore, there are many studies that utilize triangulation for both localizing stationary sound sources [21,22] and tracking moving sound sources [9,23]. If the sound source is assumed to be on the ground, calculating the intersection point between the sound source direction and the ground surface is also a good way to localize the sound source [1,6]. However, when it comes to drone applications, severe ego-noise and wind noise may distort estimation results of the direction, which will negatively affect triangulation methods.…”

Section: Related Workmentioning

confidence: 99%

“…Besides, research shows that the information of the source location is helpful for sound source separation techniques [4,5], which demonstrates the importance of tracking moving sound sources in drone audition. Therefore, several sound source tracking methods for drones has been proposed [1,[6][7][8]. Authors also have proposed a sound source tracking method that utilizes multiple microphone arrays [9,10].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Sound Source Tracking Using Multiple Drones Equipped with Multiple Microphone Arrays

Yamada

Itoyama

Nishida

et al. 2021

IJERPH

Self Cite

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Drone audition techniques are helpful for listening to target sound sources from the sky, which can be used for human searching tasks in disaster sites. Among many techniques required for drone audition, sound source tracking is an essential technique, and thus several tracking methods have been proposed. Authors have also proposed a sound source tracking method that utilizes multiple microphone arrays to obtain the likelihood distribution of the sound source locations. These methods have been demonstrated in benchmark experiments. However, the performance against various sound sources with different distances and signal-to-noise ratios (SNRs) has been less evaluated. Since drone audition often needs to listen to distant sound sources and the input acoustic signal generally has a low SNR due to drone noise, making a performance assessment against source distance and SNR is essential. Therefore, this paper presents a concrete evaluation of sound source tracking methods using numerical simulation, focusing on various source distances and SNRs. The simulated results captured how the tracking performance will change when the sound source distance and SNR change. The proposed approach based on location distribution estimation tended to be more robust against distance increase, while existing approaches based on directional estimation tended to be more robust against decreasing SNR.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of Sound Source Tracking Using Multiple Drones Equipped with Multiple Microphone Arrays

Yamada

Itoyama

Nishida

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…Similarly, there are also a few works that carry out localization and detection in tandem. The work of [ 81 ] uses a variation of MUSIC to localize sound sources, the features of which are fed to a support vector machine (SVM) for classification. The authors extended their work to separate each sound source before carrying out classification [ 79 ].…”

Section: Auditory Perception From a Uav (Land To Air)mentioning

confidence: 99%

“…The work of [ 75 ] employed several UAVs to locate multiple sound sources. The work of [ 80 ] used the global nearest neighbor to cluster Direction of Arrival (DOA) estimated through time using the sound source features; then, the authors used a variation of MUSIC to estimate multiples DOAs at a time [ 79 , 81 ].…”

Section: Auditory Perception From a Uav (Land To Air)mentioning

confidence: 99%

“…Mavic Pro [74] Quad [75] Bebop 2 [16] Matrice 100 [16] Quad [76] Quad [77] * Phantom I [78] Quad [79] Quad [80] Hexa [81] Overall, there are some interesting tendencies that are worth pointing out at this moment. In Figure 5, we present a distribution of works revised in this review across recent years and differentiated by their category, i.e., AL, LA, and AA.…”

mentioning

confidence: 98%

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A Review on Auditory Perception for Unmanned Aerial Vehicles

Martínez-Carranza

Rascón

2020

Sensors

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Although a significant amount of work has been carried out for visual perception in the context of unmanned aerial vehicles (UAVs), not so much has been done regarding auditory perception. The latter can complement the observation of the environment that surrounds a UAV by providing additional information that can be used to detect, classify, and localize audio sources of interest. Motivated by the usefulness of auditory perception for UAVs, we present a literature review that discusses the audio techniques and microphone configurations reported in the literature. A categorization of techniques is proposed based on the role a UAV plays in the auditory perception (is it the one being perceived or is it the perceiver?), as well as a set of objectives that are more popularly aimed to be accomplished in the current literature (detection, classification, and localization). This literature review aims to provide a concise landscape of the most relevant works on auditory perception in the context of UAVs to date and provides insights into future avenues of research as a guide to those who are beginning to work in this field.

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Techniques and methods for managing disasters and critical situations

AlAli,

Alabady

2024

Nat Hazards

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Design and Implementation of Real-Time Visualization of Sound Source Positions by Drone Audition

Cited by 6 publications

References 19 publications

Assessment of Sound Source Tracking Using Multiple Drones Equipped with Multiple Microphone Arrays

Assessment of Sound Source Tracking Using Multiple Drones Equipped with Multiple Microphone Arrays

A Review on Auditory Perception for Unmanned Aerial Vehicles

Techniques and methods for managing disasters and critical situations

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