Patent · US Active

Partially-learned model for speed estimates in radar tracking

US12092734B2 · kind B2 · utility

0Cited by

6References

15Claims

0Family size

Assignee

APTIV TECHNOLOGIES AG · BB

Inventors

Simon Roesler · Neuss, DE
Adrian Becker · Leverkusen, DE
Jan K. Schiffmann · Newbury Park, US

Key dates

Filing date	Dec 15, 2021
Grant date	Sep 17, 2024
Priority date	—
Expiry date	Nov 29, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/02
WIPO fieldMeasurement
WIPO sectorInstruments

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.