Project Grant 2544839
- 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 $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 $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 $235,187 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research to develop principled algorithms and practical tools for systematically discovering and repairing unsafe behavior in multi-module autonomous vehicle systems. The key objectives are to: (1) create an automated method for constructing test scenarios that decouple high-level semantics and low-level details; (2) develop a search-based testing approach to efficiently...
- 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 $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 $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 federal Project Grant award of $260,118, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports collaborative research to enhance the safety and harmonious coordination of highway vehicles with varying levels of human and automated driving capabilities. The project aims to create new methods and tools to enable the safe integration of a diverse mix of human-driven and autonomous vehicles (Levels 1-5) on shared...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program aims to enhance software testing and debugging for autonomous driving vehicles. The $566,404 award to the University of California, Irvine (UCI) will develop techniques to efficiently and effectively detect and remove defects in autonomous vehicle software through simulations. This will result in significant cost, time, and effort...
This federal Project Grant award of $258,882, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of MELIOREM, an automated tool to enhance the safety of autonomous vehicles. The University of Florida is the primary awardee, and the project aims to leverage high-performance computing infrastructure to rigorously test and address potential safety issues with autonomous vehicles before they impact public roads. By conducting simulations of various driving scenarios, MELIOREM will assess the performance of self-driving technology under different conditions, with the goal of bolstering the safety and dependability of autonomous vehicles for all road users. The project also creates educational opportunities by training students in this critical research area.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $258.9k | 8/4/25 |