Computer vision
CVT does both early-stage research and developmental work to build prototype solutions that impact government and commercial markets, including defense, healthcare, automotive and more. Numerous companies have been spun-off from CVT technology successes.
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SayNav: Grounding Large Language Models to Navigation in New Environments
SayNav is a novel planning framework, that leverages human knowledge from Large Language Models (LLMs) to dynamically generate step-by-step instructions for autonomous agents to complicated navigation tasks in unknown large-scale environments. It also enables efficient generalization of learning to navigate from simulation to real novel environments.
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SRI’s classroom collaboration NSF Project on Understanding STEM Collaboration
The Automated Collaboration Assessment Using Behavioral Analytics project will measure and support collaboration as students engage in STEM learning activities.
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Supun Samarasekera: Improving how we interact with the world around us
In his over 25-year career at SRI, Samarasekera has created innovative vision technology that helps us see, learn, and train in augmented reality.
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Pedestrian Detection from Moving Unmanned Ground Vehicles
SRI’s vision-based systems enable safe operations of moving unmanned ground vehicles around stationary and moving people in urban/cluttered environments. Under the Navy Explosive Ordnance Disposal project, SRI has developed a real-time, fused-sensor system that significantly improves stationary and dynamic object detection, pedestrian classification, and tracking capabilities from a moving unmanned ground vehicle (UGV). The system…







