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GROUP: Computer Vision (347H)
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The Computer Vision Group conducts research and development of algorithms and software for automatically interpreting data from a variety of imaging sensors, including visible, ladar, and radar. This includes:

  • 3D perception, position estimation, motion estimation, and terrain analysis for autonomous navigation of unmanned vehicles for surface and near-surface operation, such as ground vehicles and low-flying air vehicles.
  • Autonomous navigation of unmanned vehicles and ground-level surveillance.
  • Development of concepts and prototypes for custom hardware implementations of smart imager chips, smart cameras, compact ladars, and compact, low power, high performance image processing systems, such as based on field-programmable gate arrays (FPGA).

People in This Group
Larry Matthies - Group Supervisor
Roland Brockers
Ryan Kennedy
Todd Litwin
Jeremy Nash
Jeremie Papon
Arturo Rankin
Brandon Rothrock
Michael Ryoo
Stephan Weiss


Flight Project and Research Task Leadership
  1. Adaptive Resolution Stereo-Vision (ARES-V)
  2. Autonomous Small UAVs for In-situ Observation of Ecosystem Properties from Leaf to Canopy
  3. Micro Autonomous Systems Collaborative Technology Alliance (MAST CTA)
  4. Project Tango – Visual SLAM Development
  5. Robotics Collaborative Technology Alliance (RCTA)
  6. Sensor Fusion for Low-Cost Perception
  7. Supervised Remote Robot with Guided Autonomy/Teleoperation (Surrogate)


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