This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with the CFDA number 47.070, provides $273,555 to the University of Delaware to develop a new "Connected Autonomous Driving as a Service" (CADAAS) paradigm. The key objectives are to:
- Design new network techniques for user-initialized resource reservation and performance assurance in wireless networks to support autonomous driving.
- Develop deadline-aware inference frameworks to ensure low-latency inference from multiple deep neural networks running concurrently on edge servers.
- Deploy and evaluate the CADAAS system in real-world scenarios using the University of Nebraska-Lincoln's Husker-Net and the University of Delaware's D-STAR infrastructure.
This transformative project aims to integrate vehicle-to-vehicle and vehicle-to-infrastructure data to significantly improve the performance and safety of autonomous driving capabilities. The award period runs from March 1, 2025 to February 29, 2028, with no sub-awards planned.
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