IUCRC Proposal Planning Grant, Saint Louis University: Center for Accurate Georeferencing of the Environment (CAGE)

IUCRC 提案规划拨款,圣路易斯大学:环境精确地理配准中心 (CAGE)

基本信息

  • 批准号:
    2113870
  • 负责人:
  • 金额:
    $ 2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-06-01 至 2023-05-31
  • 项目状态:
    已结题

项目摘要

The global economic impact of Global Positioning System (GPS) use is estimated at ~$1B/day. GPS and resulting geospatial location information (i.e., georeferencing) serves a diverse ecosystem of companies across the spectrum of users including manufacturers, system integrators, service providers, and end users. It is a technology that has exploded in recent decades with the private sector superseding the historic dominance of U.S. federal agencies in geospatial technology development and deployment. However, this proliferation has revealed vulnerabilities due rapidly advancing technology and data analytics for both commercial and government entities. The resulting evolution and fragmentation of geospatial technologies has precipitated a need for strategic investment in foundational elements related to GPS and georeferencing. To address this issue, funding is being provided for The Ohio State University, Purdue University, and Saint Louis University to explore the formation of a three-Site industry-university cooperative research center: The Center for Accurate Georeferencing of the Environment (CAGE). The Center will generate and disseminate new foundational knowledge in three interrelated areas of potential strong interest to prospective Members. These include foundational research on GPS-based and alternative AI-based navigation and mapping technologies to advance geospatial data referencing platforms upon which commercial innovation depends; refine and work with industry to codify and adopt geospatial data standards and best practices for functions such as acquisition of multi-sensor/multi-platform/multi-temporal geospatial data such that diverse members will be able to build interoperable systems; and develop new AI-based methods for the reconstruction and labelling of physical locations/object space from diverse geospatial data will unlock significant potential for geospatial data analytics. Through a Center planning meeting, The Ohio State University, Purdue University, and Saint Louis University faculty and administrators will engage a broad spectrum of public and private entities to identify and discuss collective needs with the goal of creating a viable research roadmap and associated research thrusts in which partners are willing to participate and invest. Topics and potential Center research thrusts will be discussed at the meeting, and those of highest importance to industry will be identified upon which a viable Center can be created. Broader impacts of the work include increased economic productivity and integration of the economic sectors that use or wish to use georeferencing; workforce training where students participate in industry-relevant, basic, pre-competitive research projects proposed by university faculty; the engagement of underrepresented groups via various partnerships with institutional entities focused in recruiting and retraining students from underserved populations; and outreach to the public and K-12. Industry-university cooperative research centers, like the three-Site Center jointly proposed to be focused on georeferencing in the environment and geospatial techniques and applications by The Ohio State University, Purdue University, and Saint Louis University are powerful partnerships between universities; the private sector; government; non-profits; and local communities. These Centers operate as consortia where university faculty and students perform fundamental research that addresses collective industry and community needs and where projects are funded by membership fees and other financial contributions from Center members. In this construct, the intellectual power; infrastructure; and student talent of universities is focused on real world problems of critical interest of a segment of the economy in need of innovation to overcome conceptual and technological hurdles that individual entities are unable to overcome themselves. The planning meeting proposed will bring together interested parties to hear proto-Center leadership describe the Center’s value proposition and potential return-on-investment of those entities wishing to become members of the Center. Those at the planning meeting will also help the Center create a research road map and research thrusts that best address the most pressing needs of the collective membership in the Center.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.
全球定位系统(GPS)使用的全球经济影响估计为$ 1B/天。 GPS和由此产生的地理空间位置信息(即,地理发行)为各种用户的公司生态系统提供服务,包括制造商,系统集成商,服务提供商和最终用户。这是一项近几十年来探索的技术,私营部门取代了美国联邦机构在地理空间技术开发和部署中的历史性优势。但是,这种扩散揭示了由于商业和政府实体的技术和数据分析的迅速发展的脆弱性。在与GPS和GEOREFERCTIANS相关的基础元素中,规定了地理空间技术的进化和分裂。为了解决这个问题,正在为俄亥俄州立大学,普渡大学和圣路易斯大学提供资金,以探索三站行业 - 大学 - 大学教练研究中心的形成:环境准确的地理提示中心(CAGE)。该中心将在三个相互关联的潜在成员潜在浓厚兴趣的领域中产生并传播新的基础知识。这些包括基于基于GPS和基于AI的替代性导航和映射技术的基础研究,以推动商业创新所依赖的地理空间数据参考平台;优化并与行业合作,以编纂和采用地理空间数据标准和最佳实践,以诸如获取多传感器/多平台/多阶段的地理空间数据,以便潜水员能够构建可互操作的系统;并开发新的基于AI的方法,用于从潜水员地理空间数据中重建和标记物理位置/对象空间的重建和标记,将解锁地理空间数据分析的巨大潜力。通过一次中心计划会议,俄亥俄州立大学,普渡大学和圣路易斯大学教职员工和管理人员将聘请广泛的公共和私人实体,以识别和讨论集体需求,目的是创建可行的研究路线图和相关的研究推力,并在哪些合作伙伴愿意参与和投资。会议将讨论主题和潜在的中心研究作用,并将确定可以在该行业中最高的行业中心。这项工作的更广泛的影响包括提高经济生产力和使用或希望使用地理发起的经济部门的整合;劳动力培训学生参加了大学教职员工提出的与行业相关的,基本的,竞争的研究项目;通过与机构实体的各种合作伙伴关系的参与,专注于从服务不足的人群中招募和培训学生;并向公众和K-12宣传。工业大学的教练研究中心,例如联合建议将重点放在环境和地理空间技术和应用的地理发行上,俄亥俄州立大学,普渡大学和圣路易斯大学是大学之间有力的合作伙伴;私营部门;政府;非营利组织;和当地社区。这些中心作为财团运作,大学教职员工和学生进行基础研究,以满足集体行业和社区需求,以及项目由会员费和中心成员提供的其他财务捐款资助的项目。在这个结构中,智力力量;基础设施;大学的学生才华集中在需要创新的经济领域的现实世界问题上,以克服个人实体无法克服自己的概念和技术障碍。计划会议提案将使感兴趣的各方聚集在一起,以听取原始中心领导力描述了该中心的价值主张和希望成为该中心成员的实体的潜在回报投资。在计划会议上的人还将帮助该中心创建研究路线图和研究推力,最能满足该中心集体成员资格最紧迫的需求。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优点和更广泛的影响审查标准来评估被认为是宝贵的支持。

项目成果

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Vasit Sagan其他文献

Optical and Thermal Remote Sensing for Monitoring Agricultural Drought
光学和热遥感监测农业干旱
  • DOI:
    10.3390/rs13245092
  • 发表时间:
    2021-12
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Qiming Qin;Zihua Wu;Tianyuan Zhang;Vasit Sagan;Zhaoxu Zhang;Yao Zhang;Chengye Zhang;Huazhong Ren;Yuanheng Sun;Wei Xu;Cong Zhao
  • 通讯作者:
    Cong Zhao

Vasit Sagan的其他文献

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