IUCRC Planning Grant University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)

IUCRC 规划拨款北德克萨斯大学：电动、互联和自主移动技术中心 (eCAT)

• 批准号: 2113805
• 负责人: Song Fu
• 金额: $ 2万
• 依托单位: University of North Texas
• 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: 2021-07-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2113805&HistoricalAwards=false
• 关键词: IUCRC; Planning; Grant; University; North

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.

虽然自动驾驶汽车公司专注于制造无人驾驶汽车，但电气化和互联技术可以通过允许车辆与驾驶环境进行通信来升级行业，从而以更少的排放实现更高的安全性，这是电动、互联和自动驾驶汽车系统发展的主要障碍。拟议的电动、互联和自主移动技术中心（eCAT）将专注于传统的跨学科研究，旨在启动和加速从车辆到电动、互联和自主的移动方式的转变。通过创造创新的车辆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) 之间的合作伙伴关系，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， UNT 站点还为行业合作伙伴提供获得来自不同研究人员小组的先进协同研究的机会，该站点将特别专注于开发新颖的感知算法和系统架构，以支持联网自动驾驶车辆。实验室、集成智能移动系统中心以及与行业的长期合作关系将为该中心带来重大贡献，不仅将推动电动、互联和自动驾驶汽车的科学技术发展，还将加速知识和智力的发展。通过合作伙伴关系在学术界和工业界之间进行财产转移，这将使最先进的移动技术从研究实验室到工业界的快速转变。教育工作将致力于（1）BS/MS 的课程设计。计划，（2）夏令营发展K-12 学生，(3) 扩大 WSU、UNT 和 Clarkson 计算机和工程领域的参与 研究成果将通过我们的年度会议 - MetroCAD、出版物以及公开开源项目的开发进行传播。从该项目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项结束后至少保留三年或公开发布（出版）后三年，以较晚者为准。 。 WSU、UNT 和克拉克森将拥有受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。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

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: 10.1109/ipdps53621.2022.00118
• 发表时间: 2022-05
• 期刊: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS
• 作者: Jiang, Beilei;Cheng, Xianwei;Tang, Sihai;Ma, Xu;Gu, Zhaochen;Fu, Song;Yang, Qing;Liu, Mingxiong
• 通讯作者: Liu, Mingxiong

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: 2021-09
• 期刊: 2021 IEEE International Conference on Edge Computing (EDGE
• 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

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: 2022-11
• 期刊: Future Internet
• 影响因子: 3.4
• 作者: Bai, Tianyu;Fu, Song;Yang, Qing
• 通讯作者: Yang, Qing

Characterization of Real-Time Object Detection Workloads on Vehicular Edge

车辆边缘实时目标检测工作负载的表征

• DOI: 10.1109/metrocad56305.2022.00010
• 发表时间: 2022-04
• 期刊: IEEE International Conference on Connected and Autonomous Driving (MetroCAD
• 作者: Tang, Sihai;Whitney, Kaitlynn;Wang, Benjamin;Fu, Song;Yang, Qing
• 通讯作者: Yang, Qing

Online Self-Evolving Anomaly Detection for Reliable Cloud Computing

用于可靠云计算的在线自我演化异常检测

• 发表时间: 2022-12
• 期刊: IEEE/ACM International Conference on Utility and Cloud Computing (UCC
• 作者: Tianyu Bai; Haili Wang
• 通讯作者: Haili Wang