A framework uses standardized US license plate typography and geometry as passive fiducials for metric monocular distance, velocity, and time-to-collision estimation without machine learning training.
Performances of a Contactless Energy Transfer System for Rotary Ultrasonic Machining Applications
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Analytical model for miniature rotary transformers derives magnetizing and leakage inductances via magnetic equivalent circuit including fringing and air gaps, validated with FEA and experiments.
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Physics-Grounded Monocular Vehicle Distance Estimation Using Standardized License Plate Typography
A framework uses standardized US license plate typography and geometry as passive fiducials for metric monocular distance, velocity, and time-to-collision estimation without machine learning training.
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Accurate Analytical Modeling of Small-Size Rotary Transformers for Wound-Rotor Resolvers
Analytical model for miniature rotary transformers derives magnetizing and leakage inductances via magnetic equivalent circuit including fringing and air gaps, validated with FEA and experiments.