Collaborative Research: EAGER: CSR: Full-stack defense of vision-based autonomous driving — NSF Award to Rensselaer Polytechnic In
This project focuses on enhancing the safety and reliability of autonomous driving systems, making them more trustworthy in a variety of environments, including potentially hostile ones. The research will develop advanced detection and countermeasure techniques at the application, system, and hardware layers to help en
| Award title | Collaborative Research: EAGER: CSR: Full-stack defense of vision-based autonomous driving |
|---|---|
| Award ID | 2537757 |
| Awardee | Rensselaer Polytechnic Institute |
| City | TROY |
| State | NY |
| Amount obligated | $91,988 |
| Principal investigator | Kanad Basu |
| Program | CSR-Computer Systems Research |
| Start date | 08/15/2025 |
| Abstract | This project focuses on enhancing the safety and reliability of autonomous driving systems, making them more trustworthy in a variety of environments, including potentially hostile ones. The research will develop advanced detection and countermeasure techniques at the application, system, and hardware layers to help ensure that self-driving cars can make safe driving decisions even when faced with deliberate attempts to disrupt their operation. This involves creating robust deep-learning modules |
| Source | NSF Awards |
$799/mo
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