This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award of $550,000, effective March 1, 2024 through February 28, 2026, aims to develop vehicle technologies that can improve traffic flow and reduce energy use by allowing automated vehicles to dynamically adjust their speeds based on real-time traffic conditions. The project will create a system to automatically detect and filter out erroneous traffic information to enable the safe...
This $500,000 project grant, awarded on January 1, 2024 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address the urgent need for end-to-end safety in learning-enabled autonomous systems across various application scenarios, such as self-driving cars and urban air mobility. The project, titled "COLLABORATIVE RESEARCH: SLES: GUARANTEED TUBES FOR SAFE LEARNING ACROSS AUTONOMY ARCHITECTURES,"...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $202,000 Project Grant to Michigan State University under the Engineering (CFDA 47.041) program. The funding will support collaborative research to develop scalable, data-driven predictive control frameworks for managing mixed traffic systems with connected and automated vehicles alongside human-driven vehicles. The project aims to enable advancements in transportation efficiency and...
The National Science Foundation (NSF) awarded a $109,992 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of Texas at Dallas (UTD). This 2-year grant, effective July 1, 2024, focuses on enhancing the safety and reliability of autonomous driving systems. Key objectives include: Developing advanced detection and countermeasure techniques at the application, system, and hardware layers to ensure self-driving cars can make safe...
This $1,000,000 Project Grant, awarded by the National Science Foundation (NSF) under the CFDA 47.084 Technology, Innovation, and Partnerships program, aims to develop a reliable technology for authenticating electronic devices used in the automotive industry. The key products and services to be delivered through this 3-year project (July 2024 to June 2027) include: Developing high-quality prototypes that can consistently verify the integrity of electronic components, such as electronic...
The National Science Foundation awarded a $750,000 Project Grant under the Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to Mississippi State University on December 15, 2022 for work completing November 30, 2023. The award will support the development of advanced driving technology to improve independent driving skills and employment opportunities for persons with disabilities. A multi-disciplinary team of researchers, industry partners, educators, and stakeholders...
This $572,778 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award will support research and development at North Carolina State University (NC State) to address fundamental challenges in simulation-based testing of autonomous driving systems (ADS). The key objectives are to: 1) Improve the efficiency and effectiveness of simulation-based ADS testing by leveraging...
This $120,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Regents of the University of California at Riverside (UC Riverside). The funding will support a collaborative research project focused on enhancing the safety and reliability of autonomous driving systems through the development of advanced detection and countermeasure techniques at the application, system, and...
This $235,187 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop principled algorithms and practical tools for systematically discovering and repairing unsafe behavior in multi-module autonomous vehicle systems. The key objectives are to: (1) create an automated method for constructing test scenarios that decouple high-level semantics and low-level details; (2) develop a search-based testing approach to efficiently...