Project Grant 2551814
- 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...
- 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....
- 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,...
- 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 Division of Electrical, Communications and Cyber Systems awarded Illinois Institute of Technology $200,000 on April 1, 2027, under the Engineering program (CFDA 47.041) to develop collaborative perception and networking capabilities for autonomous urban mobility systems. The research establishes a paradigm for semantic-aware information exchange that enhances collective situational awareness among distributed autonomous agents—including delivery robots 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...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Texas at Dallas $299,741 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial-intelligence methods enabling cooperative radar perception networking across connected vehicles and roadside infrastructure. The project addresses a critical gap in vehicle-based mmWave radar sensing: individual vehicles perceive only from their own...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Illinois $360,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop Performativity-Aware Intelligent Autonomous Systems (PIAS), a framework enabling autonomous vehicles to anticipate, monitor, and safely respond to behavior changes caused by their own actions. The project addresses a safety challenge inherent in real-world autonomous...
- 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...
- 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 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 processing techniques to compress and fuse sensor data while preserving information essential for machine-learning-based cooperative perception algorithms. The second establishes an adaptive framework that prioritizes safety-critical data to meet strict timing and reliability requirements of autonomous driving. The third employs integrated modeling-based and data-driven approaches to predict and minimize end-to-end delays throughout the communication pipeline. The research team will evaluate effectiveness through realistic simulations and experiments on specialized connected vehicle testbeds. The project runs through July 31, 2029, with place of performance in Tucson, Arizona. The work addresses the challenge that large volumes of sensor data from cooperative perception systems can congest wireless networks and introduce delays that compromise vehicle safety. By focusing communication systems on the most safety-critical information needed for autonomous driving, the project supports improved road safety, reduced accidents, and training in next-generation technology.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $625.0k | 7/21/26 |