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US Patent 12092734 Partially-learned model for speed estimates in radar tracking

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120927340
Patent Inventor Names
Jan K. Schiffmann0
Simon Roesler0
Adrian Becker0
Date of Patent
September 17, 2024
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Patent Application Number
176444640
Date Filed
December 15, 2021
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Patent Citations
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US Patent 9240053 Target tracking
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US Patent 10451712 Radar data collection and labeling for machine learning
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US Patent 9983301 Automated vehicle radar system to determine yaw-rate of a target vehicle
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US Patent 11852746 Multi-sensor fusion platform for bootstrapping the training of a beam steering radar
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US Patent 6873251 Tracking system and method employing multiple overlapping sensors
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US Patent 7026979 Method and apparatus for joint kinematic and feature tracking using probabilistic argumentation
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Patent Primary Examiner
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Timothy A Brainard
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CPC Code
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G01S 13/584
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G01S 13/726
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G01S 13/66
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G01S 7/42
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G06N 3/02
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G06N 3/08
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G06N 20/00
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G01S 7/415
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Patent abstract

This document describes techniques and systems for a partially-learned model for speed estimates in radar tracking. A radar system is described that determines radial-velocity maps of potential detections in an environment of a vehicle. The model uses a data cube to determine predicted boxes for the potential detections. Using the predicted boxes, the radar system determines Doppler measurements associated with the potential detections that correspond to the predicted boxes. The Doppler measurements are used to determine speed estimates for the predicted boxes based on the corresponding potential detections. These speed estimates may be more accurate than a speed estimate derived from the data cube and the model. Driving decisions supported by the speed estimates may result in safer and more comfortable vehicle behavior.

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