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关于无人机听觉感知的综述。

A Review on Auditory Perception for Unmanned Aerial Vehicles.

机构信息

Instituto Nacional de Astrofisica Optica y Electronica (INAOE), Puebla 72840, Mexico.

Department of Computer Science, University of Bristol, Bristol BS8 1UB, UK.

出版信息

Sensors (Basel). 2020 Dec 18;20(24):7276. doi: 10.3390/s20247276.

DOI:10.3390/s20247276
PMID:33352997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7766763/
Abstract

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.

摘要

尽管在无人机 (UAV) 环境中已经进行了大量的视觉感知工作,但在听觉感知方面却没有那么多工作。后者可以通过提供可用于检测、分类和定位感兴趣的音频源的附加信息来补充对无人机周围环境的观察。受听觉感知对无人机的有用性的启发,我们进行了文献综述,讨论了文献中报道的音频技术和麦克风配置。根据无人机在听觉感知中扮演的角色(它是被感知者还是感知者?),提出了一种技术分类方法,以及一套在当前文献中更常被目标化的目标(检测、分类和定位)。本文献综述旨在提供迄今为止有关无人机听觉感知的最相关工作的简明概述,并为那些刚开始在该领域工作的人提供未来研究方向的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/eedecb9eaffa/sensors-20-07276-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/0ba1f7d99c0b/sensors-20-07276-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/eeffd320e42e/sensors-20-07276-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/cd7e5bfd4559/sensors-20-07276-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/db4fedd0ff44/sensors-20-07276-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/61b5e3f6d76d/sensors-20-07276-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/840f4588f44d/sensors-20-07276-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/eedecb9eaffa/sensors-20-07276-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/0ba1f7d99c0b/sensors-20-07276-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/eeffd320e42e/sensors-20-07276-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/cd7e5bfd4559/sensors-20-07276-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/db4fedd0ff44/sensors-20-07276-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/61b5e3f6d76d/sensors-20-07276-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/840f4588f44d/sensors-20-07276-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/711d/7766763/eedecb9eaffa/sensors-20-07276-g007.jpg

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本文引用的文献

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Acoustic localization and tracking of a multi-rotor unmanned aerial vehicle using an array with few microphones.使用带有少量麦克风的阵列对多旋翼无人机进行声学定位和跟踪。
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On the Use of the AIRA-UAS Corpus to Evaluate Audio Processing Algorithms in Unmanned Aerial Systems.利用 AIRA-UAS 语料库评估无人机系统中的音频处理算法。
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Multi-Ray Modeling of Ultrasonic Sensors and Application for Micro-UAV Localization in Indoor Environments.
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Sensors (Basel). 2019 Apr 13;19(8):1770. doi: 10.3390/s19081770.
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Design of UAV-Embedded Microphone Array System for Sound Source Localization in Outdoor Environments.用于室外环境声源定位的无人机嵌入式麦克风阵列系统设计
Sensors (Basel). 2017 Nov 3;17(11):2535. doi: 10.3390/s17112535.