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: $ 60万
• 依托单位: Clarkson University
• 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
• 起止时间: 2023-03-15 至 2028-02-29
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231622&HistoricalAwards=false
• 关键词: IUCRC; Phase; Clarkson; University; Center

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.

eCAT中心专注于围绕电动、互联和自动驾驶汽车（eCAV）的跨学科研究。该中心不仅是学术研究人员与工业界就国家和国际重要性问题进行合作的机构，而且还为行业合作伙伴提供机会，以获得由不同研究人员群体产生的先进协同研究。eCAT中心将加速从传统车辆到eCAV的移动方式的转变，并通过在行业、企业和政府之间建立长期合作伙伴关系，为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地点，将专注于创新研发，以实现电气化和自动化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，以及互联自动驾驶系统的创建。克拉克森大学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中心将致力于推动科学和技术在我们的日常生活中实现eCAV。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快速转变为行业和市场。教育工作将致力于（i）本科和研究生课程设计，（ii）K-12学生夏令营开发，（iii）扩大克拉克森大学和其他eCAT网站对计算和工程的参与。从这个项目中获得的数据将包括实验，计算，基于文本和/或课程数据。所有数据产品将在奖项结束后至少保留三年，或在公开发布（出版）后至少保留三年，以较晚者为准。该中心的网站将有密码保护的共享网络驱动器，以促进团队内的数据共享，与合作者，以及社区中对NSF资助的数据感兴趣的任何人。将在www.example.com上创建一个用于导航到存档数据的着陆页http://ecat.center.This奖项反映了NSF的法定使命，并被认为值得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来支持。

项目成果

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
• 作者: Southcott, Mark;Zhang, Leo;Liu, Chen
• 通讯作者: Liu, Chen