| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | September 17, 2019 |
| Latest Amendment Date: | August 26, 2022 |
| Award Number: | 1919855 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Marilyn McClure
mmcclure@nsf.gov (703)292-5197 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | October 1, 2019 |
| End Date: | September 30, 2023 (Estimated) |
| Total Intended Award Amount: | $350,137.00 |
| Total Awarded Amount to Date: | $350,137.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
4700 Research Way Lakeland FL US 33805-8531 (863)874-8585 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
4700 Research Way Lakeland FL US 33805-8531 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Major Research Instrumentation |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
First and foremost, we would like to thank NSF for the funding, our academic institutions for providing the support, and our students for their hard work. Connected and Autonomous Vehicles are becoming an increasingly important part of our daily lives, and despite the rapid progress during the past decade, there are still several challenges in this area. Our team has accomplished the following major milestones throughout this project.
1. Built Hardware-in-the-loop Vehicle Simulators for Connected and Autonomous Vehicles with 3D game engine integration.
2. Completed the drive-by-wire conversion of an electric golf-cart, and successfully tested its self-driving capabilities on a campus environment
3. Developed a light-weight software framework for self-driving vehicles, and successfully tested it in a 0.5 miles self-driving experiment using a real Ford Fusion hybrid vehicle
4. For people with disabilities, implemented a solution to drive a vehicle by using head movements and succesfully tested it
5. Built cyberattack resilient control systems for Connected and Autonomous Vehicles
6. Built a system for remote control of a real vehicle
7. Built a mm-wave radar and communications systems for Connected and Autonomous Vehicles research.
8. Published research papers with undergraduate and graduate students. Worked with several students and multidisciplinary capstone design teams for drive-by-wire conversion, software development, and game engine integration.
Last Modified: 01/13/2024
Modified by: Onur Toker
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