📢 A new NSF grant has been awarded. $200K for two years (10/1/2025 – 9/30/2027).

📑 Title: Predictive Neural Dynamics for Latency Mitigation in Autonomous Driving.

🏛️ 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 experiencing a collision. The prevailing solutions utilize costly, high-performance hardware to mitigate these delays, rendering autonomous vehicles expensive and inaccessible to the general public. This project aims to address this fundamental challenge by developing intelligent systems that can predict what sensors will detect in the immediate future and prepare appropriate responses in advance, thereby effectively eliminating the negative effects of processing delays. The research has the potential to enhance the safety, reliability, and cost-effectiveness of autonomous vehicles, thereby facilitating their integration into society’s transportation infrastructure. Beyond the realm of autonomous driving, this technology has the potential to enhance various applications, including remotely operated vehicles, delivery robots, and search-and-rescue systems. These domains necessitate rapid and precise responses to environmental changes, which are critical for ensuring safety and optimal performance.

More details:

🔗 https://lnkd.in/e5D63s2A

A new research grant has been awarded. The project title is “Active Inference-based Deep Learning Technology for Automatic Perception and Control of Autonomous Vehicles.” With generous support from Hanyang University, BIMI will investigate an integrated bio-inspired approach for perception and control in autonomous driving through the Active Inference principle until the end of 2026, collaborating with visiting scholars from Hanyang University.

Driverless vehicle research on campus recently got a big boost thanks to a National Science Foundation grant. This new Chrysler minivan from Rochester Hills-based Dataspeed is loaded with a full suite of sensors needed for road-legal, fully autonomous driving, including advanced optical cameras and a LIDAR system for creating 360-degree maps of the surrounding environment. Assistant Professor of Electrical and Computer Engineering Jaerock Kwon (far left) and his graduate students (from left) Aws Khalil, Elahe Delavari and Feeza Khan Khanzada are among the researchers who will be using the new AV in their research. (Photo by Max Parham) https://lnkd.in/eNGxBR6K

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