Smart drone audition: A search and rescue drone system that listens and communicates
Smart drone audition: A search and rescue drone system that listens and communicates
批准号:
22KF0141
负责人:
中臺 一博
金额:
$1.41万
依托单位国家:
日本
项目类别:
Grant-in-Aid for JSPS Fellows
财政年份:
2023
资助国家:
日本
项目状态:
未结题
起止时间:
2023-03-08 至 2025-03-31
中文摘要
Benjamin Yen博士已经将他在奥克兰大学的一些研究整合到东京工业大学的相关无人机试听项目中。具体来说,他将自己在声源增强方面的工作技术结合起来,使用多架无人机来改进声源跟踪。这产生了一个会议论文提交给2023年IEEE/RSJ智能机器人和系统国际会议。该论文目前正在审查中。我们已经向IEEE/ACM Transactions on Audio Speech and Language Processing提交了一篇关于无人机试听的期刊文章。具体而言,我们提出了一种噪声协方差矩阵估计方法,可应用于声源增强算法的无人机试听。虽然这项研究是在Benjamin Yen博士在奥克兰大学期间开发的,但它完全在JSPS博士后奖学金提案的研究范围内,并且是在此奖学金期间将进一步发展的主题。本文目前正在进行重大修改。我们已经进行了一次重大的户外实验,以收集必要的数据,对各种无人机试听算法进行性能评估。这包括对无人机噪音和移动目标声源的准确录音。此外,还记录了目标声源运动的精确GPS数据。这些测量将有助于评估声源跟踪性能的算法提出。我们已经计划了一系列的研究课题相关的研究主题将由我们自己和新的B4/硕士生进行研究。
英文摘要
Dr. Benjamin Yen has integrated some of his research at the University of Auckland into related drone audition projects at the Tokyo Institute of Technology. Specifically, he incorporated techniques from his work in sound source enhancement to improve sound source tracking using multiple drones. This has yielded a conference paper submission to the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems. The paper is currently under review.We have submitted a journal article for drone audition to the IEEE/ACM Transactions on Audio Speech and Language Processing. Specifically, we proposed a noise covariance matrix estimation method that can be applied to sound source enhancement algorithms for drone audition. While this research is developed during Dr. Benjamin Yen's time at the University of Auckland, it is entirely within the research scope of the JSPS postdoctoral fellowship proposal and is a topic that will be further developed during this fellowship. The paper is currently under major revision.We have carried out a major outdoor experiment to collect the necessary data to perform performance evaluation for various drone audition algorithms. This includes accurate audio recordings of drone noise and a moving target sound source. In addition, accurate GPS data of the target sound source's movement is also recorded. These measurements will be helpful in evaluating sound source tracking performance from the algorithms proposed.We have planned a range of research topics related to the research theme to be researched by ourselves and new B4/masters students.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Rotor noise power spectral density informed sound source enhancement and localisation for unmanned aerial vehicles
无人机转子噪声功率谱密度通知声源增强和定位
DOI:
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发表时间:
2022
期刊:
影响因子:
--
作者:
[Sebastian Bahamonde, Sebastian Bahamonde, Sebastian Bahamonde, Benjamin Yen and Yusuke Hioka]
通讯作者:
Benjamin Yen and Yusuke Hioka
野鳥行動解析のためのマルチモーダル生態環境理解・解析技術の構築
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批准号:20H00475
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项目类别:Grant-in-Aid for Scientific Research (A)
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资助金额:$29.12万
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财政年份:2020
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负责人:中臺 一博
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依托单位:
海外基金