Collaborative Research: Open Source AI Acoustic Buoys and Drifters

合作研究：开源人工智能声学浮标和漂流器

• 批准号: 2024077
• 负责人: Aran Mooney
• 金额: $ 39.53万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2024077&HistoricalAwards=false
• 关键词: Collaborative; Research; Open; Source; AI

Recent advances using mobile platforms equipped with passive acoustic sensors show great promise to map the distribution of marine organisms over large spatial scales. Ocean passive acoustics (listening tools) can be used to identify and provide the locations of sound producing animals including snapping shrimp, many fishes including those that are commercially important, marine mammals, and boats However, these mobile platforms have several limitations preventing their use to collect synoptic data on a very large scale including mechanical noise, requiring support vessels, and generally high costs. This work will seek to develop and test innovative acoustic buoys and drifters that are substantially less expensive than current mobile platforms to enable global in situ biological observations. Our goal is to make acoustic buoys and drifters widely available so that it is possible for small research groups to perform ocean-scale studies.A low-cost acoustic buoy and drifter will enable deployments of 100x as many sensors as would be feasible using a single autonomous vehicle. The main challenge with drifters is that the data of interest must be sent over low-bandwidth satellite links. This bandwidth limitation necessitates processing data onboard and sending back the key bits of information to answer specific biological questions. This research will integrate an advanced convolutional neural network AI processing engine in the drifters and develop tools to make it easy for researchers to train their own detection and classification networks and load them onto a drifter. The drifters will also store high resolution raw data that can be accessed if the drifter is recovered. The open source design will enable other researchers to define their own signal processing schemes to detect signals of interest.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

使用配备被动声传感器的移动平台的最新进展表明，在绘制大空间尺度上的海洋生物分布图方面大有希望。海洋被动声学(收听工具)可用于识别和提供产生声音的动物的位置，包括捕虾、许多鱼类(包括那些具有商业重要性的鱼类)、海洋哺乳动物和船只。然而，这些移动平台有几个限制，使其无法用于收集非常大范围的天气数据，包括机械噪音、需要支持船只和通常较高的成本。这项工作将寻求开发和测试创新的声学浮标和漂移器，这些浮标和漂移器比目前的移动平台便宜得多，能够进行全球现场生物观测。我们的目标是让声学浮标和漂流物广泛使用，这样小型研究小组就有可能进行海洋规模的研究。低成本的声学浮标和漂流物将使部署的传感器数量是使用单一自动驾驶车辆可行数量的100倍。漂移者面临的主要挑战是，感兴趣的数据必须通过低带宽卫星链路发送。这种带宽限制需要在船上处理数据，并发回关键的信息比特来回答特定的生物问题。这项研究将在漂移物中集成先进的卷积神经网络AI处理引擎，并开发工具，使研究人员可以轻松地训练自己的检测和分类网络，并将其加载到漂移物上。漂移器还将存储高分辨率原始数据，如果恢复漂移器，则可以访问这些原始数据。开源设计将使其他研究人员能够定义他们自己的信号处理方案来检测感兴趣的信号。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Sounding the Call for a Global Library of Underwater Biological Sounds

• DOI: 10.3389/fevo.2022.810156
• 发表时间: 2022-02
• 作者: Miles J. G. Parsons;Tzu‐Hao Lin;T. Mooney;C. Erbe;F. Juanes;M. Lammers;Songhai Li;S. Linke;Audrey Looby;S. Nedelec;Ilse C. Van Opzeeland;C. Radford;A. Rice;L. Sayigh;J. Stanley;E. Urban;L. Di Iorio

Adaptive Online Sampling of Periodic Processes with Application to Coral Reef Acoustic Abundance Monitoring

周期性过程的自适应在线采样及其在珊瑚礁声学丰度监测中的应用

• DOI: 10.1109/iros47612.2022.9982217
• 发表时间: 2022
• 期刊: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS
• 作者: McCammon, Seth;Aoki, Nadege;Mooney, T. Aran;Girdhar, Yogesh
• 通讯作者: Girdhar, Yogesh

Ground-truthing daily and lunar patterns of coral reef fish call rates on a US Virgin Island reef

美属维尔京群岛珊瑚礁上珊瑚礁鱼类呼叫率的地面实况每日和月球模式

• DOI: 10.3354/ab00755
• 发表时间: 2022
• 期刊: Aquatic Biology
• 影响因子: 1.4
• 作者: Ferguson, SR;Jensen, FH;Hyer, MD;Noble, A;Apprill, A;Mooney, TA
• 通讯作者: Mooney, TA

CUREE: A Curious Underwater Robot for Ecosystem Exploration

CUREE：用于生态系统探索的好奇水下机器人

• DOI: 10.1109/icra48891.2023.10161282
• 发表时间: 2023
• 期刊: 2023 IEEE International Conference on Robotics and Automation (ICRA
• 作者: Girdhar, Yogesh;McGuire, Nathan;Cai, Levi;Jamieson, Stewart;McCammon, Seth;Claus, Brian;Soucie, John E.;Todd, Jessica E.;Mooney, T. Aran
• 通讯作者: Mooney, T. Aran

Acoustic properties and shallow water propagation distances of Caribbean spiny lobster sounds ( Panulirus argus )

加勒比龙虾声音（Panulirus argus）的声学特性和浅水传播距离

• DOI: 10.1121/10.0016898
• 发表时间: 2023
• 期刊: The Journal of the Acoustical Society of America
• 作者: Jézéquel, Youenn;Aoki, Nadège;Mooney, T. Aran
• 通讯作者: Mooney, T. Aran