Using N thermal light sources and measuring m-order intensity correlations reduces the Cramér-Rao bound on remote object distance by a factor of N compared to traditional LIDAR.
Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Projecting LiDAR-detected dynamic object centers onto a 360° fisheye panorama and matching with YOLOv8 bounding boxes doubles tracking persistence for temporarily static workers compared to LiDAR alone.
citing papers explorer
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Superradiant LIDAR
Using N thermal light sources and measuring m-order intensity correlations reduces the Cramér-Rao bound on remote object distance by a factor of N compared to traditional LIDAR.
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Dynamic Object Detection and Tracking in Construction: A Fisheye Camera and LiDAR Sensor Fusion Model
Projecting LiDAR-detected dynamic object centers onto a 360° fisheye panorama and matching with YOLOv8 bounding boxes doubles tracking persistence for temporarily static workers compared to LiDAR alone.
- Agentic Vehicles for Human-Centered Mobility: Definition, Prospects, and Synergistic Co-Development with Vehicle Autonomy