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

IUCRC 第一阶段北德克萨斯大学：电动、互联和自主移动技术中心 (eCAT)

• 批准号: 2231519
• 负责人: Song Fu
• 金额: $ 60万
• 依托单位: University of North Texas
• 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=2231519&HistoricalAwards=false
• 关键词: IUCRC; Phase; University; North; Texas

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 accelerate the transformation of mobility methods from conventional vehicles to electric, connected and autonomous vehicles by creating innovative electric, connected and autonomous technologies. 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 University of North Texas (UNT) Site will particularly focus on developing novel perception algorithms and system architecture to support connected autonomous vehicles. The UNT Site will leverage the Connected Autonomous Vehicular System Lab, the Vehicle and Edge Computing Lab, and the Center for Integrated Intelligent Mobility Systems, as well as the long-running relationships with industry to bring significant contributions to the Center. The Center will advance the science and technologies of electric, connected and autonomous vehicles, and 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. Education and workforce development 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. Research results will be disseminated through our annual conference, publications, and the development of 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. 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.

虽然自动驾驶汽车公司专注于制造无人驾驶汽车，但电气化和连接技术可以通过允许车辆与驾驶环境沟通来升级行业，以实现更好的安全性和更少的排放。电动、互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。拟议的电动、互联和自主移动技术中心(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，加快移动方法从传统车辆向电动、互联和自动驾驶汽车的转变。该中心不仅是学术研究人员与业界就重要问题进行合作的机构，而且还为行业合作伙伴提供机会，以获取由不同研究人员群体产生的高级协同研究成果。北德克萨斯大学(UNT)的网站将特别专注于开发新颖的感知算法和系统架构，以支持联网的自动驾驶汽车。UNT基地将利用互联自动车辆系统实验室、车辆和边缘计算实验室和集成智能移动系统中心，以及与行业的长期合作关系，为该中心带来重大贡献。该中心将推进电动、互联和自动驾驶汽车的科学和技术，并通过合作伙伴关系加快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快速转化为行业。教育和劳动力发展工作将致力于(1)BS/MS课程的课程设计，(2)为K-12学生发展夏令营，(3)扩大对计算和工程的参与。研究成果将通过我们的年度会议、出版物和开源项目的开发来传播。从该项目中获得的数据将包括实验、计算、基于文本和/或课程的数据。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)后三年保留，以较晚的时间为准。该中心的网站将拥有受密码保护的共享网络驱动器，以促进团队内部、与合作者以及社区中任何对NSF资助的数据感兴趣的人共享数据。Http://ecat.center.This将创建一个用于导航到存档数据的登录页面，以反映国家科学基金会的法定使命，并已通过使用基金会的智力优势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

Output-Directed Dynamic Quantization for DNN Acceleration

• DOI: 10.1145/3605573.3605580
• 发表时间: 2023-08
• 期刊: Proceedings of the 52nd International Conference on Parallel Processing
• 作者: Beilei Jiang;Xianwei Cheng;Yuan Li;Jocelyn Zhang;Song Fu;Qing Yang;Mingxiong Liu;Alejandro Olvera

User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing

• DOI: 10.1145/3583740.3628436
• 发表时间: 2023-12
• 期刊: 2023 IEEE/ACM Symposium on Edge Computing (SEC)
• 作者: Tianyu Bai;Qing Yang;Song Fu

Sniffer Faster R-CNN ++: An Efficient Camera-LiDAR Object Detector with Proposal Refinement on Fused Candidates

• DOI: 10.1145/3631138
• 发表时间: 2023-10
• 期刊: Journal on Autonomous Transportation Systems
• 作者: Sudip Dhakal;Dominic Carrillo;Deyuan Qu;Qing Yang;Song Fu

Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles

• DOI: 10.1109/edge60047.2023.00026
• 发表时间: 2023-07
• 期刊: 2023 IEEE International Conference on Edge Computing and Communications (EDGE)
• 作者: Sihai Tang;Shengze Wang;Song Fu;Qing Yang