This Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) provides $199,880 to the University of Michigan-Dearborn through February 2024 to investigate the role of affect in fostering trust in automated driving. Specifically, the awardee will pursue three integrated aims: 1) build real-time trust prediction models using psychophysiological measures; 2) investigate the relationships between affect and trust in automated vehicles; and 3) calibrate trust in...
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 $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 Project Grant award of $260,118, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, aims to advance the state of the art in cyber-physical systems (CPS) research related to vehicle autonomy, safety, and transportation. The primary objectives are to develop new methods and tools to enable the safe and harmonious integration of highway vehicles with heterogeneous, varying levels of human and machine autonomy (Levels 1-5...
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 National Science Foundation (NSF) Engineering program (CFDA 47.041) grant award of $299,954 to the University of Washington supports fundamental research to enhance trust in autonomous mobility systems (AMS) through the use of human egocentric eyeglasses as external AMS sensors. The 2-year project, titled "EAGER: TASKDCL: Building Human Trust in Autonomous Social Navigation with Egocentric Visual Feedback," aims to develop computer vision models, online inference approaches, and...
This five-year, $673,782 National Science Foundation project grant in the Engineering program (CFDA 47.041) will fund research at Purdue University to develop a control-theoretic framework for modeling human cognitive state dynamics during human-automation interaction. The framework will define a human cognitive state space and characterize its dynamics in a model that can be used for control system design. A methodology will be created to estimate cognitive states and parameters in real time...
This $175,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Texas Tech University from April 2022 to March 2024 related to developing novel modeling, control, and optimization methods for connected and automated vehicles. The research aims to improve the efficiency and sustainability of urban transportation systems while respecting individual...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop techniques to efficiently and effectively detect and remove defects in autonomous vehicle software through simulations. The $163,351 award to the University of California, Irvine will produce methods to automatically generate driving scenarios that reveal errors, accurately consider driving context and traffic laws to identify...
This five-year National Science Foundation Project Grant of $1,238,246 will fund research at Carnegie Mellon University toward developing safe autonomous systems. The goal is to enable robots and other autonomous systems to operate safely while interacting closely with humans, as required for applications like next-generation manufacturing infrastructure. The university will develop a new algorithmic framework for assuring safety in autonomous robotic systems. The framework aims to optimize...