MRI: CNS: Acquisition of Real-Time Hardware-in-the-Loop Simulation for Verification of Connected and Autonomous Vehicles
MRI: CNS: Acquisition of Real-Time Hardware-in-the-Loop Simulation for Verification of Connected and Autonomous Vehicles
批准号:
1919855
负责人:
ONUR TOKER
金额:
$35.01万
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
项目状态:
已结题
起止时间:
2019-10-01 至 2023-09-30
中文摘要
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英文摘要
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.
期刊论文(23)
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Verification of Autonomous Vehicles: Scenario Generation based on Real World Accidents
自动驾驶车辆的验证:基于现实世界事故的场景生成
DOI:
10.1109/southeastcon44009.2020.9368284
发表时间:
2020
期刊:
IEEE
影响因子:
--
作者:
[Holland, James C., Sargolzaei, Arman]
通讯作者:
Sargolzaei, Arman
DOI:
10.3390/electronics10040407
发表时间:
2021-02-01
期刊:
ELECTRONICS
影响因子:
2.9
作者:
[Mokhtari, Sohrab, Abbaspour, Alireza, Sargolzaei, Arman]
通讯作者:
Sargolzaei, Arman
Experimental Performance Analysis of a Self-Driving Vehicle Using High-Definition Maps
使用高清地图的自动驾驶车辆的实验性能分析
DOI:
10.1109/southeastcon51012.2023.10115093
发表时间:
2023
期刊:
IEEE
影响因子:
--
作者:
[Toker, Onur]
通讯作者:
Toker, Onur
DOI:
10.3390/electronics9040573
发表时间:
2020-04-01
期刊:
ELECTRONICS
影响因子:
2.9
作者:
[Toker, Onur, Alsweiss, Suleiman]
通讯作者:
Alsweiss, Suleiman
A Secure Control Design for Networked Control Systems with Linear Dynamics under a Time-Delay Switch Attack
时滞开关攻击下线性动态网络控制系统的安全控制设计
DOI:
10.3390/electronics10030322
发表时间:
2021
期刊:
Electronics
影响因子:
2.9
作者:
[Victorio, Mauro, Sargolzaei, Arman, Khalghani, Mohammad Reza]
通讯作者:
Khalghani, Mohammad Reza
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