Autonomous Systems
Key Research Area
Autonomous Systems
RAVVEN Lab in the College of Engineering Technology works to combine practical, real-world techniques with the latest hardware and theoretical frameworks to create new, cutting-edge technologies.
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.
The lab consists of two separate spaces. First is the flight room, that also houses our high-end AI computers, and the monitors that are used for visual intertial odometry. This room also contains our Optitrack absolute tracking system. The second associated room contains several computers for student and faculty-collaborative research as well the Dell Alienware Area 51 high end computer. There is a double-pane glass window between the rooms that allows operators to look out into the flight room from the safety of the control room. Lastly there is a viewing window in the flight room so that tour groups can enjoy watching our amazing UAVs.
Facilities
RAVVEN Lab
Welcome to RAVVEN lab 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 for GPS-denied navigation and object classification via quantized neural networks.