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 hardware layers. The project aims to create robust deep-learning modules for driving decisions, improve the safety and security of automotive processors, and develop tools to detect and fix hardware issues in mission mode. By conducting extensive real-world testing with popular automotive benchmarks, the project seeks to validate these innovations, ensuring they can be confidently adopted in everyday use. The broader impacts of this research extend beyond automotive technology to other critical systems such as space exploration, smart medical devices, and various Internet of Things (IoT) applications. The project's findings will be widely disseminated through publications, software releases, and educational courses, contributing to the development of a skilled workforce in this rapidly evolving field.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $120.0k | 7/2/24 |