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MRI: CNS: Acquisition of Real-Time Hardware-in-the-Loop Simulation for Verification of Connected and Autonomous Vehicles

MRI：CNS：获取实时硬件在环仿真以验证联网和自动驾驶车辆

基本信息

批准号：
1919855
负责人：
ONUR TOKER
金额：
$ 35.01万
依托单位：
Florida Polytechnic University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1919855&HistoricalAwards=false
关键词：
MRI CNS Acquisition Real Time

项目摘要

This project supports the acquisition of a Real Time Lab system for automatic simulation and verification testing, including a large-scale hardware-in-the-loop (HiL) simulation facility for Connected Autonomous Vehicles (CAVs). The framework enables reasoning and test development in simulation, an abstraction process to virtualize real-world crashes, and a co-simulation capability for concurrent design and test. While rapid progress is being made in the underlying engines for CAVs, this progress will not be useful without a significant advance in methods to show robustness and safety of these systems.The effort opens opportunities to replicate and simulate real-world scenarios and offers the framework for the Advanced Mobility Institute (AMI) to provide industry and regulators with a technical language to communicate safety and verification issues. Moreover, other applications can benefit from the outcomes (e.g., marine, logistics, agriculture), thus enabling future partnerships. The facility also offers a unique opportunity for students to gain hands-on experience and attract industrial partners to test their systems. The institution encourages neighboring universities to use their facilities on research challenges related to CAVs. Finally, the integrated instrument enriches the existing curriculum with a simulation facility that supports HiL and has real-time (RT) simulation capacity.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.

该项目支持购买用于自动模拟和验证测试的实时实验室系统，包括用于互联自动驾驶车辆(CAV)的大规模硬件在环(HIL)模拟设施。该框架支持在模拟中进行推理和测试开发，支持虚拟现实世界崩溃的抽象过程，以及用于并行设计和测试的协同模拟能力。虽然CAV的底层引擎正在取得快速进展，但如果不在展示这些系统的健壮性和安全性的方法上取得重大进步，这种进步将毫无用处。这一努力为复制和模拟真实世界的场景提供了机会，并为高级移动研究所(AMI)提供了框架，为行业和监管机构提供了一种技术语言来交流安全和验证问题。此外，其他应用也可从成果中受益(例如，海洋、物流、农业)，从而促进未来的伙伴关系。该设施还为学生提供了一个独特的机会，让他们获得实践经验，并吸引行业合作伙伴测试他们的系统。该机构鼓励邻近的大学利用他们的设施来应对与骑士队相关的研究挑战。最后，集成仪器通过支持HIL并具有实时(RT)模拟能力的模拟设施丰富了现有课程。该奖项反映了NSF的法定使命，并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。