Project Grant 2301868
- This National Science Foundation (NSF) CAREER Award under the Engineering (CFDA 47.041) program provides $556,507 in funding to Embry-Riddle Aeronautical University from July 1, 2023 to June 30, 2028. The award supports fundamental research to investigate human driving behavior and interactions among traffic participants, with the goal of enabling technological advances in autonomous and connected vehicles. The research will leverage an immersive virtual reality driving simulator to conduct...
- 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 $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 Project Grant of $2,090,572 will fund research at Georgia Tech Research Corporation from June 2022 to May 2025 to develop next-generation advanced driver assistance systems. The research aims to increase safety and performance of deep neural networks operating within feedback loops that include human drivers. Specifically, the grant will support research to utilize reinforcement learning and formal methods techniques to design systems that can accommodate...
- This Project Grant award from the National Science Foundation Division of Computer and Network Systems provides $148,867 to support research into cooperative neuro-inspired anomaly detection models for connected vehicles. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to Texas State University aims to develop novel algorithmic methods and multi-agent models to identify anomalous sensor readings that could pose safety risks in...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $108,000 to Michigan State University to support an undergraduate research experience focused on autonomous vehicle algorithm development. Specifically, the award funds activities from March 2022 through February 2025 to allow students to gain hands-on experience designing, testing, and evaluating self-driving algorithms using street-legal electric vehicles on campus....
- This $350,961 National Science Foundation project grant supports the development of algorithms and design principles to enable safe and secure collaboration between artificial intelligence systems and human operators in autonomous vehicles. Funded under the Computer and Information Science and Engineering program, the objectives are to maintain human vigilance through secondary in-vehicle tasks calibrated to AI decision uncertainty levels, develop a fault-tolerant AI capable of assessing its own...
- 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...
- The National Science Foundation (NSF) awarded a $263,797 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Pennsylvania State University. The grant, titled "CAREER: Enabling Human Situation Awareness Across Physical and Cyber Spaces for Vehicle-to-Everything Communication Security and Driving Safety," is focused on understanding and mitigating the risks posed by Vehicle-to-Everything (V2X) communication attacks on driver situation...
- The Colorado State University was awarded a $295,602 project grant from the National Science Foundation Division of Computer and Network Systems to support research titled "EAGER: EXPLORING MULTI-MODAL DEEP LEARNING SYSTEMS FOR SUSTAINABLE CONNECTED AND AUTONOMOUS VEHICLES" from October 1, 2021 to September 30, 2023. This award will fund research under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), which supports investigator-initiated...
This $199,992 National Science Foundation Engineering Research Initiation project grant to Texas A&M University-Commerce will support research and education activities contributing to autonomous vehicle safety and privacy. The two-year award from the Division of Electrical, Communications and Cyber Systems begins June 1, 2023. The university will develop new knowledge and techniques for interpreting driver behavior and intentions using deep learning modeling of limited sensory data. Researchers will assess how human and road factors impact driving distraction and create an explainable neural network to predict driver attention and steering based on actual driver models. Undergraduate and graduate students will assist with research, and outreach activities are planned to engage middle school students in science, technology, engineering and mathematics. The project aims to advance active vehicle safety controls while preserving driver privacy through collaborative sensing, reasoning and control approaches. Findings will be integrated into computer science coursework to improve STEM education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 5/16/23 |