IUCRC Phase I Virginia Tech: Center for Autonomous Air Mobility and Sensing (CAAMS)

IUCRC 第一阶段弗吉尼亚理工大学：自主空气流动和传感中心 (CAAMS)

基本信息

批准号：
2137159
负责人：
Kevin Kochersberger
金额：
$ 46.77万
依托单位：
Virginia Polytechnic Institute and State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-15 至 2027-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2137159&HistoricalAwards=false
关键词：
IUCRC Phase Virginia Tech Center

项目摘要

The world’s aviation industry is moving towards autonomous air mobility and sensing, where new developments in artificial intelligence, energy systems, aerodynamics, structures and materials, advanced manufacturing, and multidisciplinary design are enabling new air vehicle concepts and new ways of using aviation in the daily transport of information, people, and cargo. The Center for Autonomous Air Mobility and Sensing (CAAMS) will produce new fundamental engineering knowledge, will develop new technologies, and will train a new workforce needed by pooling the technical know-how of America’s leading engineering research universities with innovative companies ranging from startups to long-established leaders in the aerospace industry.CAAMS research focuses on improving air vehicle performance, sustainability, safety systems, manufacturability, and reliability by integrating research in traditional aerospace fields such as control, aerodynamics, structures and materials, communication, and energy storage with new disciplines including artificial intelligence, machine learning, and robotics. Virginia Tech hosts one of six FAA-designated UAS test sites (the Mid-Atlantic Aviation Partnership) that supports the safe development and approval of air vehicle systems operating in the national airspace. An on-campus netted facility and a 4-km2 off-campus test site (Kentland Farm) with runway gives CAAMS researchers a test and evaluation capability critical to delivering results from research.Autonomous air mobility and sensing includes a broad range of vehicle concepts, integrated subsystems, supporting infrastructure, traffic management tools, and applications that exploit increasingly autonomous capabilities in aviation. These autonomous systems have the potential to improve safety and reliability, reduce costs, and enable new missions of national and global importance. The global market for autonomous aircraft is expected to reach $1.5 trillion by 2040, and CAAMS will be a key asset in enhancing US competitiveness. Center research will support dozens of students every year, giving them hands-on experience with advanced autonomous systems and direct understanding of industry perspectives and needs.Center outcomes will be broadly disseminated through archival publications, presentations at engineering and computer science conferences, and technical interchanges with aviation industry members. A single center-wide data repository will be established by the lead site with a password-protected web portal that can be accessed by all center industry members. Project data will be made available to center members annually and will be made available upon request to the public two years after the center fiscal year has ended.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.

全球航空业正在朝着自动驾驶的AR移动性和感知迈进和货物。移动性和感应中心（CAAMS）将生产新的基础工程DGE，将开发新技术，并将通过创新公司从创业公司范围内培训一项新的劳动力CAAMS研究重点是改善航空车辆的性能，安全系统，制造性和可靠性，通过整合在控制领域，诸如控制，空气动力学，结构和材料，交流和储能与包括人造的纪律等空间领域的研究，以改善航空器的性能，安全系统，制造性和可靠性。，机器人和机器人h。 4 km2校外测试地点CAAMS研究人员研究和评估对提供研究结果至关重要的测试和评估性。自治空气移动和感应包括各种各样的车辆概念，集成子系统，支持基础架构，交通管理工具以及使您不利的应用程序越来越多的自主能力使全球和全球的新任务在2040年的全球市场上达到1.5万亿美元。先进的自主系统和对行业观点和需求的直接理解。中心将在工程和计算机科学上广泛传播，以及与航空业成员稳定的技术交互。应对公众的要求，中央财政年度的中部结束了。该奖项Reflemsf的NSF法定任务，被认为值得支持该基金会的知识分子和影响审稿人IA。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

UAS-Based Radio Frequency Interference Localization Using Power Measurements

使用功率测量进行基于 UAS 的射频干扰定位

DOI：
10.33012/2024.19570
发表时间：
2024
期刊：
ION ITM 2024
影响因子：
0
作者：
Smith, Casey;Yan, Haoming;Hafez, Osama Abdul;Hopwood, Jeremy;Joerger, Mathieu
通讯作者：
Joerger, Mathieu

A Hybrid Model Reference Adaptive Control System for Multi-Rotor Unmanned Aerial Vehicles

多旋翼无人机混合模型参考自适应控制系统