Project Grant 2235012

Award Date 3/15/23
Completion Date 2/28/26
Dollars Obligated $960K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Los Angeles, CA 90095, USA
Similar Awards
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program provides $163,351 to the University of California, Irvine (UC Irvine) to develop techniques for efficiently and effectively detecting and removing defects in autonomous vehicle software through simulations. The project aims to reduce safety-critical errors in the software powering autonomous driving vehicles, which are increasingly...
This $743,560 federal Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an open-source ecosystem called DRIVEX to advance automated driving and intelligent transportation research. Led by the University of California, Los Angeles (UCLA), the project aims to create a collaborative platform featuring integrated tools like simulators, data management systems, and algorithmic models. DRIVEX will...
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 $572,778 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award will support research and development at North Carolina State University (NC State) to address fundamental challenges in simulation-based testing of autonomous driving systems (ADS). The key objectives are to: 1) Improve the efficiency and effectiveness of simulation-based ADS testing by leveraging...
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 $289,374 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to advance connected autonomous driving technology and software-defined vehicles. The project, titled "COLLABORATIVE RESEARCH: CSR: SMALL: CADAAS: DETERMINISTIC COMMUNICATION AND PREDICTIVE COMPUTATION FOR CONNECTED AUTONOMOUS DRIVING AS A SERVICE," seeks to integrate available information from nearby vehicles and...
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 $500,000 project grant, awarded on January 1, 2024 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address the urgent need for end-to-end safety in learning-enabled autonomous systems across various application scenarios, such as self-driving cars and urban air mobility. The project, titled "COLLABORATIVE RESEARCH: SLES: GUARANTEED TUBES FOR SAFE LEARNING ACROSS AUTONOMY ARCHITECTURES,"...
This Project Grant award for $100,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the planning and prototyping of a cloud-based autonomous driving software research infrastructure called CADRI. The key products and services to be delivered under this award include: (1) a cataloged library of cutting-edge autonomous driving software testing approaches, (2) pre-configured autonomous driving...
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 from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $960,327 to develop an open-source autonomous driving simulation platform called MetaDriverse. The University of California, Los Angeles will lead development of MetaDriverse in collaboration with the State of California Controller's Office through February 2026. MetaDriverse aims to foster innovation in autonomous driving research through realistic driving simulation capabilities. It will support diverse traffic scenarios and assets to enable evaluation of perception, decision-making, and other autonomy techniques. MetaDriverse also aims to serve as a common experimental platform for academic and industry researchers to develop new AI methods, share models and data, and benchmark progress. Its development is expected to have significant impacts on autonomous driving research and education.

Generated 1/6/24, 9:13 PM