IUCRC Phase I Brigham Young University: Center for Autonomous Air Mobility and Sensing (CAAMS)

IUCRC 第一阶段杨百翰大学：自主空气流动和传感中心 (CAAMS)

基本信息

批准号：
2139551
负责人：
Randal Beard
金额：
$ 46.77万
依托单位：
Brigham Young 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 2027-03-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2139551&HistoricalAwards=false
关键词：
IUCRC Phase Brigham Young University

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. Brigham Young University’s contributions to CAAMS include research specializations in GPS-denied and degraded navigation, algorithms for autonomous tracking from unmanned aircraft using electro-optical and infrared cameras, guidance and control of electric vertical take-off and landing (eVTOL) aircraft, multi-vehicle coordination and control, unmanned aircraft traffic management, airborne infrastructure monitoring, and eVTOL aircraft aerodynamic modeling and design optimization.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.

世界航空业正在朝着自主空气移动和敏感性迈进，在该行业中，人工智能，能源系统，空气动力学，结构和材料，先进的制造和多学科设计的新发展正在实现新的空中汽车概念以及在日常运输信息，人员和人类和货物中使用航空的新方法。自主空气流动性和感应中心（CAAMS）将产生新的基本工程知识，将开发新技术，并将通过汇集美国领先的工程研究大学的技术知识来培训所需的新劳动力，而创新的公司的技术知识范围从创业公司到启动，从启动到长期以来的领导者在航空航天行业中的发展范围。诸如控制，空气动力学，结构和材料，通信和能源存储等新学科等航空航天领域，包括人工智能，机器学习和机器人技术。 Brigham Young University对CAAM的贡献包括使用电光和红外摄像机从无人飞机进行自主跟踪的算法进行研究专业，对电动机和红外摄像机的自主跟踪，对电动垂直起飞和控制的指导和控制飞机空气动力学建模和设计优化。自治空气移动性和敏感性包括各种各样的车辆概念，集成子系统，支持基础架构，交通管理工具以及利用航空中越来越自主能力的应用。这些自治系统有可能提高安全性和可靠性，降低成本并实现新的国家和全球重要性。预计到2040年，全球自动驾驶飞机市场将达到1.5万亿美元，CAAMS将成为增强美国竞争力的关键资产。中心研究每年都会支持数十名学生，为他们提供先进的自主系统的动手经验，并直接了解行业观点和需求。中心的成果将通过档案出版物，工程和计算机科学会议的演示以及与航空行业成员的技术交互来广泛传播。 Lead网站将使用一个受密码保护的Web门户网站建立一个中央范围的数据存储库，所有中心行业成员都可以访问。项目数据将每年向中心成员提供，并在中心财政年度结束两年后，应要求向公众提供。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子和更广泛的影响审查标准来通过评估来诚实地支持支持。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Continuous-Time Trajectory Estimation for Differentially Flat Systems

差分平坦系统的连续时间轨迹估计

DOI：
10.1109/lra.2022.3224364
发表时间：
2023
期刊：
IEEE Robotics and Automation Letters
影响因子：
5.2
作者：
Johnson, Jacob C.;Mangelson, Joshua G.;Beard, Randal W.
通讯作者：
Beard, Randal W.

Group-$k$ Consistent Measurement Set Maximization for Robust Outlier Detection

Group-$k$ 一致的测量集最大化，用于稳健的异常值检测

DOI：
10.1109/iros47612.2022.9982057
发表时间：
2022
期刊：
IEEExplore
影响因子：
0
作者：
Forsgren, Brendon;Vasudevan, Ram;Kaess, Michael;McLain, Timothy W.;Mangelson, Joshua G.
通讯作者：
Mangelson, Joshua G.

Offline GNSS/Camera Extrinsic Calibration Using RTK and Fiducials