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Operator
Assist





Autonomous
Technology





Mechanisms &
Manipulation





Unmanned
Vehicle





Sensing & Image
Processing





Machine
Learning
Sensing & Image Processing
NREC often applies perception technology developed for mobile robots to challenging sensing and image processing applications. We develop high-performance machine vision systems, build custom sensors for “dirty” environments, and develop algorithms for understanding highly complex and dynamic 3D scenes.


GPS-Free Positioning (MINT) Tunnel Mapping Hybrid Safety System (HSS)
Agricultural Human Detection and Tracking Belt Inspection LNG Pipe Vision (LPV)
Sweep Monitoring Tree Inventory Strawberry Plant Sorter

OTHER PROJECTS

CV Clinical Monitoring
Caisson Construction
Drug Discovery System
Medical Imaging
Negative Obstacle Detection
Pipeline Explorer
Vehicle Classifier
ARCHIVED PROJECTS

Container Handling

National Robotics Engineering Center    SITE MAP    |    ABOUT    |    MEDIA    |    CONTACT    |    CAREERS    © Carnegie Mellon University    
GPS Free Positioning MINT (Micro-Inertial Navigation Technology) Precision Tunnel Mapping produced accurate 3D maps of tunnels The Hybrid Safety System (HSS) enables humans and industrial robots to work together safely Agricultural Human Detection and Tracking A high-speed machine vision system for monitoring the condition of conveyor belts such as those used in underground coal mines The LNG Pipe Vision (LPV) system travels through the inside of pipe networks and builds a detailed, three-dimensional map of the entire interior surface of the pipes NREC developed the Sweep Monitoring System (SMS) for training soldiers and demining personnel to use hand-held land mine detectors A tree inventory system uses vehicle-mounted sensors to automatically count and map the locations of trees in an orchard. NREC is developing an automated, machine vision-based strawberry plant sorter.