Project Grant 2551815
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Arizona $625,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a semantic communications framework for low-latency and reliable cooperative perception in vehicle-to-everything (V2X) networks serving connected and autonomous vehicles. The award funds three research thrusts. The first develops machine perception-guided data...
- This 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), provides $665,053 to San Jose State University Research Foundation (doing business as San Jose State University) for the period of July 15, 2022 through June 30, 2025. The grant supports development of a next-generation cooperative perception system with multi-modal sensing and low-latency communication capabilities....
- 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 $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 $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 $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...
- The National Science Foundation (NSF) awarded a $132,605 project grant under its Engineering program (CFDA 47.041) to the University of Southern California (USC) Department of Contracts and Grants. This grant will fund research to advance the state-of-the-art in connected and automated vehicle (CAV) systems through innovations in networking, sensing, and edge computing. The research team will develop an integrated platform that strategically aggregates wireless communication technologies,...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Lehigh University $240,000 on April 1, 2027, under the Engineering program (CFDA 47.041) for collaborative research on semantic-aware collaborative perception and networking for autonomous urban mobility systems. The research establishes a new paradigm for collaborative perception and networking that enhances collective situational awareness among autonomous agents—including delivery robots,...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded North Carolina State University a $188,120 project grant under the Engineering (CFDA 47.041) federal grant program. The grant funded research from February 1, 2021 through July 31, 2021 to develop sensor aided millimeter wave communication technologies for connected vehicles. Specifically, the university investigated using sensors to help vehicles overcome challenges with millimeter wave signals,...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of Delaware. The grant will fund a 3-year research project to develop a framework for predictable deep neural network (DNN) inference in autonomous vehicle (AV) perception systems. The key objectives are to: (1) understand the challenges of timing predictability in DNN inference for AVs, (2) design a framework...
The National Science Foundation Division of Information and Intelligent Systems awarded $255,000 to North Carolina State University on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a semantic communications framework for cooperative perception in connected and autonomous vehicles. The project develops machine perception-guided data processing techniques to compress and fuse sensor data while retaining information essential for machine-learning-based cooperative perception algorithms in vehicle-to-everything (V2X) networks. The research team will create an adaptive framework that prioritizes safety-critical data to meet strict timing and reliability requirements of autonomous driving, and will employ integrated modeling-based and data-driven approaches to predict and minimize end-to-end delays throughout the communication pipeline. The work addresses wireless network congestion caused by large sensor data volumes in cooperative perception systems, enabling vehicles to share information reliably and with low latency to improve road safety and reduce accidents. Effectiveness will be evaluated through realistic simulations and experiments. Performance of work occurs in Raleigh, North Carolina, with a period of performance from August 1, 2026, through July 31, 2029. This is a Project Grant assistance type.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $255.0k | 7/21/26 |