IUCRC Planning Grant University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
IUCRC Planning Grant University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
批准号:
2113805
负责人:
Song Fu
金额:
$2.0万
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
项目状态:
已结题
起止时间:
2021-07-01 至 2022-12-31
中文摘要
虽然无人驾驶汽车企业专注于制造无人驾驶汽车,但电气化和互联技术可以让车辆与驾驶环境进行通信,从而提高安全性,减少排放,从而实现产业升级。电动、网联和自动驾驶汽车系统发展的一个关键障碍是缺乏所需领域的协同研究。拟议中的电动、互联和自动驾驶汽车技术中心(eCAT)将专注于跨学科研究,旨在通过创造创新的电动、互联和自动驾驶技术,启动和加速从传统汽车到电动、互联和自动驾驶汽车的移动方式的转变。该中心是韦恩州立大学(WSU)、北德克萨斯大学(UNT)和克拉克森大学(Clarkson)的合作伙伴关系,不仅是学术研究人员与工业界就重要问题进行合作的机构,而且还为工业界合作伙伴提供了接触不同研究人员群体的先进协同研究的机会。UNT网站将特别专注于开发新的感知算法和系统架构,以支持联网自动驾驶汽车。UNT的eCAT将利用互联自动驾驶车辆系统实验室、集成智能移动系统中心以及与工业界的长期合作关系,为该中心带来重大贡献。该中心不仅将推进电动汽车、网联汽车和自动驾驶汽车的科学技术,还将通过合作伙伴关系加速学术界和产业界之间的知识和知识产权转移。这将使最先进的移动技术从研究实验室迅速转化为工业。教育方面的努力将致力于(1)学士/硕士课程的课程设计,(2)为K-12学生开发夏令营,(3)扩大WSU, UNT和Clarkson在计算机和工程方面的参与。研究成果将通过我们的年度会议——MetroCAD、出版物和公开可用的开源项目的发展来传播。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。WSU, UNT和Clarkson将拥有密码保护的共享网络驱动器,以促进团队内部,合作者以及社区中对nsf资助的数据感兴趣的任何人的数据共享。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
While autonomous vehicle companies focus on manufacturing driverless cars, electrification and connectivity technologies can upgrade the industry by allowing vehicles to communicate with the driving circumstance to achieve better safety with less emission. A key obstacle to the development of the electric, connected and autonomous vehicle system is the shortage of synergy research from needed domains. The proposed Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT) will concentrate on interdisciplinary research, aiming to initiate and accelerate the transformation of mobility methods from conventional vehicles to electric, connected and autonomous vehicles by creating innovative electric, connected and autonomous technologies. A partnership between Wayne State University (WSU), University of North Texas (UNT), and Clarkson University (Clarkson), the center not only serves as an apparatus of academic researchers collaborating with industry on important problems, but also provides industry partners opportunities to access advanced synergic research produced from a diverse group of researchers. The UNT Site will particularly focus on developing novel perception algorithms and system architecture to support connected autonomous vehicles. The UNT’s eCAT will leverage the Connected Autonomous Vehicular System Lab, the Center for Integrated Intelligent Mobility Systems, and long-running relationships with industry to bring significant contributions to the center. The Center will not only advance the science and technologies of electric, connected and autonomous vehicles, but also accelerate both knowledge and intellectual property 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. Educational efforts will be devoted to (1) curriculum design for the BS/MS programs, (2) summer camp development for K-12 students, (3) broadening participation in computing and engineering, at WSU, UNT, and Clarkson. Research results will be disseminated through our annual conference - MetroCAD, publications, and the development of publicly-available open-source projects.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. WSU, UNT, and Clarkson 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.
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Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing
使用用于车辆边缘计算的安全卷积神经网络进行隐私保护对象检测
DOI:
10.3390/fi14110316
发表时间:
2022
期刊:
Future Internet
影响因子:
3.4
作者:
[Bai, Tianyu, Fu, Song, Yang, Qing]
通讯作者:
Yang, Qing
VECFrame: A Vehicular Edge Computing Framework for Connected Autonomous Vehicles
VECFrame:用于联网自动驾驶车辆的车辆边缘计算框架
DOI:
10.1109/edge53862.2021.00019
发表时间:
2021
期刊:
2021 IEEE International Conference on Edge Computing (EDGE
影响因子:
--
作者:
[Tang, Sihai, Chen, Bruce, Iwen, Harold, Hirsch, Jason, Fu, Song, Yang, Qing, Palacharla, Paparao, Wang, Nannan, Wang, Xi, Shi, Weisong]
通讯作者:
Shi, Weisong
DOI:
10.1109/access.2021.3137387
发表时间:
2021-01-01
期刊:
IEEE ACCESS
影响因子:
3.9
作者:
[Li, Xinrong, Wang, Xiaodong, Fu, Song]
通讯作者:
Fu, Song
DOI:
10.1109/ucc56403.2022.00014
发表时间:
2022-12
期刊:
2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)
影响因子:
--
作者:
[Tianyu Bai;Haili Wang;Jingda Guo;Xu Ma;Mahendra Talasila;Sihai Tang;Song Fu;Qing Yang]
通讯作者:
Tianyu Bai;Haili Wang;Jingda Guo;Xu Ma;Mahendra Talasila;Sihai Tang;Song Fu;Qing Yang
MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications
MLCNN:用于加速深度学习应用的跨层协作优化和加速器架构
DOI:
--
发表时间:
2022
期刊:
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS
影响因子:
--
作者:
[Beilei Jiang, Xianwei Cheng]
通讯作者:
Beilei Jiang, Xianwei Cheng
共 7 条
IUCRC Phase I University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)
-
批准号:2231519
-
项目类别:Continuing Grant
-
资助金额:$60.0万
-
财政年份:2023
-
负责人:Song Fu
-
依托单位:
Collaborative Research: Enabling Machine Learning based Cooperative Perception with mmWave Communication for Autonomous Vehicle Safety
-
批准号:2010332
-
项目类别:Standard Grant
-
资助金额:$24.65万
-
财政年份:2020
-
负责人:Song Fu
-
依托单位:
CyberTraining: Implementation: Small: Collaborative and Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure
-
批准号:2017564
-
项目类别:Standard Grant
-
资助金额:$49.94万
-
财政年份:2020
-
负责人:Song Fu
-
依托单位:
REU Site: Vehicular Edge Computing and Security: Research Experience for Undergraduates
-
批准号:1852134
-
项目类别:Standard Grant
-
资助金额:$36.0万
-
财政年份:2019
-
负责人:Song Fu
-
依托单位:
CSR: Medium: Collaborative Research: Wizard: Exploiting Disk Performance Signatures for Cost-Effective Management of Large-Scale Storage Systems
-
批准号:1563750
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2016
-
负责人:Song Fu
-
依托单位:
CSR:Small:Failure-Aware Monitoring and Management of Online Availability and Performance for Dependable Computing Clusters
-
批准号:0915396
-
项目类别:Standard Grant
-
资助金额:$18.51万
-
财政年份:2009
-
负责人:Song Fu
-
依托单位:
海外基金