This Project Grant award of $588,751 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to address computational challenges in real-time analysis of high-throughput sensor data for collaborative autonomous vehicles. The University of Maryland, College Park is developing a novel large-scale machine learning and edge computing framework to integrate emerging techniques like fast deep learning optimization, federated learning, and hierarchical edge computing. This will enable real-time prediction, data-driven modeling, and safe operation of collaborative autonomous aerial and ground vehicles for applications like infrastructure monitoring and disaster response. The project aims to advance the relationship between engineering innovation and computational analysis through rigorous theoretical work and application studies. No sub-awards are planned under this grant, which has a performance period from September 1, 2023 to July 31, 2024.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $588.8k | 9/20/23 |