RAPID: Collaborative Research: Unmanned Aerial System Datasets from Hurricanes Harvey and Irma

RAPID：协作研究：飓风哈维和艾尔玛的无人机系统数据集

• 批准号: 1762137
• 负责人: Robin Murphy
• 金额: $ 1.78万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1762137&HistoricalAwards=false
• 关键词: RAPID; Collaborative; Research; Unmanned; Aerial

This 12-month RAPID project will organize unmanned aerial system (UAS) data from 119 flights at Hurricane Harvey and 247 at Hurricane Irma, in order to make the data available to researchers. The project will (1) screen for personal privacy identification and applicable state laws, and make available to researchers, (2) host a virtual workshop to introduce the dataset and access procedures for researchers, and (3) host a follow up workshop at the 2018 IEEE International Symposium on Safety Security and Rescue Robotics to discuss the results by researchers using the datasets and how to acquire datasets in the future.The datasets were collected by the Texas A&M Engineering Experiment Station and Florida State University who co-deployed to Fort Bend County, Texas, and Putnam and Collier Counties, Florida. They are unique because they (1) reflect the largest number of flights for public officials; (2) represent a diversity of UAS platforms (10 different models) flying at different altitudes and for eight distinctly different missions; (3) consist of video, still imagery, and photogrammetric data products based on mission; and (4) include flights before the event, during the response phase, and through the restoration phase. However, the datasets require some additional work to screen content for privacy, to complete meta-data, to be consistent in naming conventions in order to facilitate access by external researchers, and to set up controlled access. The datasets are ephemeral because the missing meta-data of pilots, platforms, and flight times for each mission will be lost in the memory of the pilots and because the datasets are needed to enable other researchers in computing and engineering use the data.

这个为期12个月的RAPID项目将组织来自飓风哈维的119次飞行和飓风厄玛的247次飞行的无人机系统（UAS）数据，以便将数据提供给研究人员。该项目将（1）筛选个人隐私识别和适用的州法律，并提供给研究人员，（2）举办一个虚拟研讨会，为研究人员介绍数据集和访问程序，以及（3）在2018年IEEE安全保障和救援机器人国际研讨会上举办后续研讨会，讨论研究人员使用数据集的结果以及如何在这些数据集由德克萨斯A& M工程实验站和佛罗里达州立大学收集，他们共同部署到德克萨斯州的弯曲县和佛罗里达的普特南县和科利尔县。它们是独一无二的，因为它们（1）反映了公职人员的最大数量的飞行;（2）代表了UAS平台的多样性（10种不同的型号）在不同的高度飞行，用于8种明显不同的任务;（3）由基于使命的视频、静止图像和摄影测量数据产品组成;（4）包括事件发生前、响应阶段和恢复阶段的飞行。然而，这些数据集需要做一些额外的工作，以筛选内容的隐私，完成元数据，保持命名惯例的一致性，以方便外部研究人员的访问，并建立受控访问。这些数据集是短暂的，因为飞行员、平台和每个使命的飞行时间的缺失元数据将在飞行员的记忆中丢失，并且因为需要这些数据集来使计算和工程中的其他研究人员能够使用这些数据。