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, alongside 804 external citations. Polarity classification is still indexing.
representative citing papers
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.
The paper defines agentic vehicles (AgVs) and argues that vehicle intelligence should be measured along two independent dimensions, autonomy and agency, not just driving automation.
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.
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Agentic Vehicles for Human-Centered Mobility: Definition, Prospects, and Synergistic Co-Development with Vehicle Autonomy
The paper defines agentic vehicles (AgVs) and argues that vehicle intelligence should be measured along two independent dimensions, autonomy and agency, not just driving automation.