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Welcome to Ravven labs within the College of Engineering Technology at the Rochester Institute of Technology. We combine practical real world know-how with the latest hardware and theoretical frameworks to create cutting edge technologies the world has never seen before. Our two major focus areas are FPGA-based on-board video processing and flight controller development for GPS-denied navigation of UAVs and object classification and localization via quantized neural networks. Feel free to take a look around our site as we have several tutorials and videos for you to enjoy.
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Embedded Systems Design II Class Project Presented at Imagine RIT [2019]
Embedded Systems Design II Class Project Presented at Imagine RIT [2018]
Embedded Systems Design II Class Project [2017]
Embedded Systems Design II Class Project [2016]
Embedded Systems Design II Class Project [2016]
Pynq Framework
Low Latency Tracker for UAV Applications
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Completely Autonomous Flight via Custom Auto-Coded Flight Controller
Syracuse High School Visit
April Tag Detection
Sine Wave Injections
Simple Flight [Top View]
Mathworks Unity Link
HDL Vision Toolbox Sobel Filter
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