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Published byAlison Sabina Robbins Modified over 9 years ago
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Subterranean Sensing Research Overview 1
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CMU Field Robotics Center Ultra-high density autonomous underground survey with FMCW Lidar on CaveCrawler robot Reconnaissance Automated Modeling
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CMU Field Robotics Center Reconnaissance Automated Modeling
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CMU Field Robotics Center Multi-Sensor Perception Super-Resolution Fusion Detail of rock wall, airflow curtain and roof supports in a mine.
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CMU Field Robotics Center Visualization and Virtualization (Left) Point Rendering techniques produce solid appearance from dense point measurements using GPU acceleration. Scene of a mine corridor, 4 million points. (Bottom) Non-Photorealistic Rendering with exaggerated reflectance models enhances viewer understanding of scene geometry. Mine wall and ceiling detail, 300k polygons.
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CMU Field Robotics Center Multispectral Imaging 1 2 3 4 1. Near Infrared, 2. Infrared (Thermal), 3. Rectilinear color, 4. Fisheye Color, images in Walker’s Mill cave.
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CMU Field Robotics Center Imaging in Darkness (Left) Long range borehole panoramic imager with intelligent illumination (Right) Structured Light geometry scanner projecting a beam pattern
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CMU Field Robotics Center Imaging in Darkness Panorama stitching from multiple views Fusion of multiple exposures for optimal clarity warp align 1 2 blend Fisheye projection of potash mine panorama
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CMU Field Robotics Center Calibration and Characterization Radiometric and Colorimetric Geometric
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Stereo Vision Phase Shift Lidar Flash Lidar MMW Radar Structured Light Long Range Time of Flight Lidar Short Range Time-of-Flight Lidar Range Sensors CMU Field Robotics Center
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Digital SLRs Bridge Cameras Near IR/LowLight Industrial/MV Security/IP Thermal/IR CMU Field Robotics Center Imaging Sensors
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