ERI: Predictive Neural Dynamics for Latency Mitigation in Autonomous Driving — NSF Award to Regents of the University of Michigan
Autonomous vehicles are regarded as a transformative technology with the potential to enhance safety, efficiency, and accessibility in transportation systems. However, a critical challenge, preventing their widespread adoption, is the delay between when sensors detect environmental changes and when the vehicle responds
| Award title | ERI: Predictive Neural Dynamics for Latency Mitigation in Autonomous Driving |
|---|---|
| Award ID | 2500638 |
| Awardee | Regents of the University of Michigan - Dearborn |
| City | Dearborn |
| State | MI |
| Amount obligated | $200,000 |
| Principal investigator | Jaerock Kwon |
| Program | ERI-Eng. Research Initiation |
| Start date | 10/01/2025 |
| Abstract | Autonomous vehicles are regarded as a transformative technology with the potential to enhance safety, efficiency, and accessibility in transportation systems. However, a critical challenge, preventing their widespread adoption, is the delay between when sensors detect environmental changes and when the vehicle responds with appropriate actions. This latency, frequently quantified in milliseconds, can determine the difference between navigating safely around a suddenly appearing obstacle and expe |
| Source | NSF Awards |
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