This $109,992 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a collaborative research project at the University of Texas at Dallas (UTD) focused on enhancing the safety and reliability of autonomous driving systems. The research aims to develop advanced detection and countermeasure techniques at the application, system, and hardware layers to enable self-driving cars to make safe driving decisions even when faced with attempts to disrupt their operation. This comprehensive approach involves creating robust deep-learning modules, enhancing the security of automotive processors, and developing tools to detect and fix hardware issues. By extensively testing these innovations with real-world automotive benchmarks, the project seeks to validate solutions that can be confidently adopted to make autonomous transportation systems safer and more trustworthy for public use. The research findings will be broadly disseminated through publications, software releases, and educational outreach to support the development of a skilled workforce in this rapidly evolving field.
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