This $1,499,949 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance the safety of autonomous vehicle (AV) systems. The key focus areas include: Developing rational machine learning (ML) models that can accurately predict driving decisions based on valid rationales, rather than inappropriate extrapolations from common scenarios. Integrating hardware reliability into the...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $600,000 to the University of Delaware to conduct research aimed at enhancing the reliability and safety of autonomous vehicle perception systems. The key products and services to be delivered under this 3-year award (10/1/2024 - 9/30/2027) include: Developing a configurable profiling framework to comprehensively understand the root causes of variability in...
This $272,238 Project Grant, awarded on July 15, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enhance the safety and reliability of autonomous vehicles. The project aims to identify vulnerabilities in the software and machine learning components of autonomous vehicle systems, and develop mitigation techniques to improve their overall resilience. The research will combine model-based and...
This federal Project Grant award for $209,421 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award aims to develop a framework that integrates real-time safety verification and assurance into the performance optimization process of AI-driven safety-critical systems, such as self-driving cars and surgical robots. The project will devise innovative real-time scheduling strategies and safe...
This federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $229,303 to Wayne State University to develop an integrated hardware-software architecture that enhances the safety and reliability of autonomous driving systems and other autonomous machines. The key objectives of the 5-year project, commencing on March 1, 2025, are: (1) developing an accelerator-enhanced system-on-a-chip (SoC) that...
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 $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...
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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $338,536 to George Mason University to enhance the safety and reliability of autonomous vehicle systems. The project aims to identify and mitigate vulnerabilities in the control software and machine learning components of autonomous vehicles through a combination of model-based and data-driven approaches for end-to-end resilience assessment and...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award provides $163,351 to the University of California, Irvine to develop techniques to enhance software testing and debugging for autonomous driving vehicles. The project aims to reduce safety-critical errors in autonomous vehicle software through simulations, resulting in significant savings of capital, time, and effort compared to physical testing. Key focus...