PARTIALLY-LEARNED MODEL FOR SPEED ESTIMATES IN RADAR TRACKING

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United States of America

APP PUB NO 20240393459A1
SERIAL NO

18795944

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Abstract

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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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Patent Owner(s)

Patent OwnerAddress
APTIV TECHNOLOGIES AGSCHAFFHAUSEN

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
BECKER, Adrian Leverkusen, DE 17 7
ROESLER, Simon Neuss, DE 8 8
SCHIFFMANN, Jan K Newbury Park, US 31 615

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