This $279,674 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund the development of MELIOREM, an automated tool designed to enhance the safety of autonomous vehicles (AVs). The project aims to leverage high-performance computing infrastructure to conduct rigorous testing of AVs in simulated driving scenarios, identifying and addressing potential safety issues before they impact public...
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 $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 $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 $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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $260,118 to the University of Illinois to research and develop methods for enabling safe and harmonious integration of highway vehicles with varying levels of human and machine autonomy. The key objectives are to advance the state-of-the-art in cyber-physical systems research related to vehicle autonomy, safety, and transportation. The...
This $163,351 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop new techniques for efficiently and effectively detecting and removing software defects in autonomous driving vehicles. The key products and services to be delivered through this 5-year grant include: Generating driving scenarios that are likely to reveal errors when autonomous driving systems (ADS) are responsible for traffic...
This National Science Foundation project grant of $1,199,708 supports research at Iowa State University from June 2022 to May 2025 under the Computer and Information Science and Engineering program. The university will develop algorithms to characterize inconsistencies in perception and decision-making between interacting autonomous systems and human operators. This aims to quantify sources of inconsistency and their effects on safety in applications like autonomous vehicles interacting with...
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 $270,913 federal Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program, supports research to develop qualitative and quantitative methodologies for assessing the safety of learning-enabled autonomous systems. The project, led by the Augusta University Research Institute, Inc. (AURI), will target foundational challenges in capturing uncertainties from environments and providing timely, comprehensive, and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $310,077 to The University of Iowa to develop "MELIOREM", an integrated evaluation cyberinfrastructure for assessing the safety and dependability of autonomous driving systems. The project aims to utilize high-performance computing to rigorously test and identify potential vulnerabilities in autonomous vehicle software, ensuring their safe operation on public roads. By advancing autonomous vehicle safety through simulation-based testing, this initiative will contribute to the broader adoption and societal benefits of self-driving technology. The project period runs from September 1, 2024 to August 31, 2027. No sub-awards are planned under this grant.