This $482,972 National Science Foundation (NSF) Engineering program (CFDA 47.041) grant supports fundamental research at North Carolina State University (NC State) to understand the behavior and interactions of mixed autonomous and human-driven vehicle traffic streams. The project aims to: (1) characterize the driving behaviors of human-driven and connected automated vehicles in conflicting traffic, (2) analyze the collective impact of mixed traffic on traffic flow, and (3) develop robust...
This $564,734 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop principled algorithms and practical tools that systematically discover and repair unsafe behavior in autonomous vehicle systems. The key objectives are to: Create an automated method for constructing diverse test scenarios that can deeply explore realistic traffic situations and identify collision-inducing scenarios. Develop...
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 enhance software testing and debugging for autonomous driving vehicles. The project aims to develop techniques to efficiently and effectively detect and remove defects in autonomous vehicle software through simulations, resulting in cost and time savings by reducing the need for physical testing....
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) is funding a $273,555 collaborative research project titled "CADAAS: Deterministic Communication and Predictive Computation for Connected Autonomous Driving as a Service" under the NSF Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, awarded to the University of Delaware, aims to advance autonomous driving technology by integrating information from nearby vehicles and roadside...
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...
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 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) focuses on developing tools to ensure the safe operation of autonomous systems, such as robots and self-driving vehicles. The $375,000 award will be used by the University of Massachusetts to: 1) develop algorithms to align the learned norms of reinforcement learning agents with the intended design goals; 2) create formal verification...
This $229,303 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an integrated hardware-software architecture to enhance the safety and reliability of autonomous driving systems and other autonomous machines. The key objectives of the project, titled "CHRONOSDRIVE: ENSURING TIMING CORRECTNESS IN DNN-DRIVEN AUTONOMOUS VEHICLES WITH ACCELERATOR-ENHANCED REAL-TIME SOC...
This Project Grant award in the amount of $279,674 from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop "MELIOREM", an automated tool to enhance the safety of autonomous vehicles. The project, led by George Mason University, will leverage high-performance computing infrastructure to conduct rigorous testing and simulations to identify and address potential safety issues with autonomous vehicles before...