课题基金 / 基金详情

IUCRC Phase I Clarkson University: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)

IUCRC Phase I Clarkson University: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
IUCRC 第一阶段克拉克森大学:电动、互联和自主移动技术中心 (eCAT)
批准号:
2231622
负责人:
Chen Liu
金额:
$60.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-03-15 至 2028-02-29

项目摘要

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中文摘要
翻译
eCAT中心专注于以电动、联网和自动驾驶汽车(ecav)为中心的跨学科研究。该中心不仅是学术研究人员与工业界就具有高度国家和国际重要性的问题进行合作的机构,而且还为行业合作伙伴提供机会,使他们能够接触到由不同研究人员组成的先进协同研究成果。eCAT中心将加速从传统车辆到ecav的移动方式的转变,并通过发展工业、学术界和政府之间的长期合作伙伴关系,为交通运输行业提供新的合作模式。我们的跨学科研究团队分布在多个站点,将专注于创新研究和开发,以实现电气化和自动驾驶技术在各个领域的整合,包括先进的电动汽车(ev)和物联网(IoT)传感器,可靠的车联网(V2X)通信设备,高性能边缘计算平台,传感器数据处理的高效算法,以及连接自动驾驶系统的创建。克拉克森大学网站将专注于硬件支持和计算骨干,特别是以整体和集成的方式采用边缘计算、边缘服务器、云计算,以满足连接和自动驾驶工作负载的计算需求。eCAT中心将努力推动科学技术的发展,使eCAT在我们的日常生活中得以实现。该中心将通过合作伙伴关系加速学术界和工业界之间的知识和知识产权(IP)转移。这将使最先进的移动技术从研究实验室迅速转化为工业和市场。教育工作将致力于(i)本科和研究生阶段的课程设计,(ii)为K-12学生开发夏令营,(iii)在克拉克森大学和其他eCAT站点扩大对计算机和工程的参与。从这个项目中获得的数据将包括实验数据、计算数据、基于文本的数据和/或课程数据。所有数据产品将在奖励结束后或公开发布(出版)后至少保留三年,以较晚者为准。中心的站点将有密码保护的共享网络驱动器,以促进团队内部、合作者之间以及社区中对nsf资助的数据感兴趣的任何人之间的数据共享。将在http://ecat.center.This上创建一个导航存档数据的登陆页面,该页面反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,认为值得支持。
英文摘要
The eCAT center concentrates on interdisciplinary research centered around electric, connected and autonomous vehicles (eCAVs). The center not only serves as an apparatus of academic researchers collaborating with industry on problems of high national and international importance, but also provides opportunities industry partners to access the advanced synergic research produced by a diverse group of researchers. The eCAT Center will accelerate the transformation of mobility methods from conventional vehicles to eCAVs and facilitate a new collaboration paradigm for the transportation industry by developing long-term partnerships among industry, academe, and government. Our trans-disciplinary research team located at multiple sites will focus on innovative research and development towards the integration of electrification and autonomous technologies in various domains, including advanced electric vehicles (EVs) and Internet of Things (IoT) sensors, reliable Vehicle to Everything (V2X) communication devices, high performance edge computing platforms, efficient algorithms for sensor data processing, and the creation of connected autonomous driving systems. The Clarkson University Site will focus on hardware support and computing backbone, especially employing edge computing, edge server, cloud computing in a holistic and integrated fashion to address the computing need for connected and autonomous driving workloads. The eCAT Center will strive to advance the science and technologies towards realizing eCAVs in our daily life. The center will accelerate both knowledge and intellectual property (IP) transfer between academia and industry through collaborative partnerships. This will allow for the rapid transformation of the state-of-the-art mobility technologies from research labs to industry and market. Educational efforts will be devoted to (i) curriculum design at undergraduate and graduate levels, (ii) summer camp development for K-12 students, (iii) broadening participation in computing and engineering, at Clarkson University and the other eCAT Sites as well. Data obtained from this project will include experimental, computational, text-based, and/or curricular data. All data products will be retained for a minimum of three years after conclusion of the award or three years after public release (publication), whichever is later. The Sites of the Center will have password-protected shared network drives to facilitate data sharing within the teams, with collaborators, and indeed anyone in the community with an interest in the NSF-funded data. A landing page for navigation to archived data will be created at http://ecat.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.
期刊论文(1)
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会议论文
Millimeter wave radar-based road segmentation
基于毫米波雷达的道路分割
DOI: 10.1117/12.2661942
发表时间: 2023
期刊: SPIE
影响因子: --
作者: [Southcott, Mark, Zhang, Leo, Liu, Chen]
通讯作者: Liu, Chen
IUCRC Planning Grant Clarkson University: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
  • 批准号:
    2113901
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2021
  • 负责人:
    Chen Liu
  • 依托单位:
MRI: Acquisition of a Heterogeneous Computing Platform for Biometrics Research
  • 批准号:
    1626360
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.74万
  • 财政年份:
    2016
  • 负责人:
    Chen Liu
  • 依托单位:
I-Corps: Many-Core Computing for Biometrics Liveness Detection
  • 批准号:
    1445125
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2014
  • 负责人:
    Chen Liu
  • 依托单位:
BRIGE: OS-SPECIFIC MANY-CORE DESIGN
  • 批准号:
    1301953
  • 项目类别:
    Standard Grant
  • 资助金额:
    $16.9万
  • 财政年份:
    2012
  • 负责人:
    Chen Liu
  • 依托单位:
国内基金
海外基金
Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark Supercooled Phase Transition
  • 批准号:
    24ZR1429700
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YUICHIRO NAKAI
  • 依托单位:
ATLAS实验探测器Phase 2升级
  • 批准号:
    11961141014
  • 项目类别:
    国际(地区)合作与交流项目
  • 资助金额:
    3350万元
  • 批准年份:
    2019
  • 负责人:
    刘衍文
  • 依托单位:
地幔含水相Phase E的温度压力稳定区域与晶体结构研究
  • 批准号:
    41802035
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    12.0万元
  • 批准年份:
    2018
  • 负责人:
    张里
  • 依托单位:
基于数字增强干涉的Phase-OTDR高灵敏度定量测量技术研究