MRI: Acquisition of Autonomous Plug-In Hybrid Vehicle Platform for Multidisciplinary Research and Education at the University of Michigan-Dearborn

NSF核磁共振项目旨在获得高性能自动驾驶电动汽车平台和传感器套件，用于研究和教育，以推进基础科学和工程研究和教育。这个项目的智力价值包括以下几点。该平台将加速机器学习关键算法的开发，并为自动驾驶汽车的安全性和稳定性量身定制分析方法，同时通过提供真实场景，实现网络安全的变革性研究。先进机动能源系统的研究也将得到扩展和进一步探索。该项目的更广泛影响包括以下方面。该平台将通过可编程电动汽车的体验式学习，为本科生、研究生以及博士后提供研究培训机会。密歇根大学迪尔伯恩分校（UM-D）位于底特律大都会区，是“三巨头”（通用汽车、福特汽车和克莱斯勒汽车）和汽车供应商的所在地。美国汽车和先进的移动行业需要更多技术娴熟、知识渊博的科学家和工程师，他们需要为新技术做好准备，比如由人工智能和机器学习驱动的智能系统、能源和电力系统、网络安全和人车界面。该项目将有助于满足先进移动行业对熟练工人的高需求。该平台将成为重要的研究工具，显著加强密歇根大学在多个研究活动中的跨学科研究和教育，包括具体认知车辆、车载网络安全、能源消耗、环境感知、网络安全以及电动和先进交通工具的驾驶员行为分析。该仪器还将大大提高马里兰大学电气、计算机、机器人、机械和工业工程系的本科生和研究生的研究训练。UM-D在汽车、机器人、网络安全、能源系统和人机界面等领域进行了积极的研究。拟议的平台将在上述新兴研究领域的现实环境中与全尺寸可编程车辆进行协作研究。项目团队将致力于十个变革性的研究课题，这些课题将由该平台实现，这将大大提高UM-D目前的研究和实验能力。该奖项反映了美国国家科学基金会的法定使命，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，被认为值得支持。

This NSF MRI project aims to acquire a high-performance autonomous electric vehicle platform with a sensor suite for research and education to advance fundamental science and engineering research and education. The intellectual merits of the project include the following. The platform will accelerate the development of critical algorithms in machine learning and analysis methods tailored to the safety and stability of autonomous vehicles while enabling transformative research on cybersecurity by providing real-world scenarios. Research on energy systems for advanced mobility will also be able to be extended and further explored. The broader impacts of the project entail the following. The platform will support undergraduate and graduate students, as well as post-doctoral fellows by offering research training opportunities through experiential learning with a programmable electric vehicle. The University of Michigan-Dearborn (UM-D) is located in the Metro-Detroit area, the home to the “Big Three” (GM, Ford, and Chrysler), and automotive suppliers. The U.S. automotive and advanced mobility industries need more skilled and knowledgeable scientists and engineers who are ready for new technologies such as intelligent systems powered by artificial intelligence and machine learning, energy and power systems, cybersecurity, and human-vehicle interfaces. The project will help in contributing to the high demand for skilled workers from the advanced mobility industry with the acquired instrument. The platform will be crucial research instrumentation to significantly enhance interdisciplinary research and education at UM-D in several research activities, including embodied cognitive vehicle, in-vehicular network security, energy consumption, environmental perception, cybersecurity, and driver behavior analyses in electric and advanced mobilities. The instrument will also substantially improve undergraduate and graduate research training in the electrical, computer, robotics, mechanical, and industrial engineering departments at UM-D. Active research is going on in the fields of automotive, robotics, cybersecurity, energy systems, and human-vehicle interface at UM-D. The proposed platform will enable collaborative research in a realistic environment with a full-scale programmable vehicle in the aforementioned emerging research areas. The project team will work on ten transformative research topics to be enabled by the platform that will substantially improve the current research and experimentation capabilities at UM-D.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.