US 12561945 B1 / Feb 24, 2026

System and method for detection and classification using a statistical feature vector

The present application discloses a method, system, and computer system for performing object detection and/or classification. The method includes (i) obtaining sensor data, (ii) processing the sensor data to obtain hypercube data representing the sensor data, (iii) transforming a data representation of the sensor data to obtain a statistical feature vector representing the sensor data, wherein the data representation is transformed based at least in part on processing the data representation using a Multistage Wiener Filter (MWF), (iv) performing an object detection and/or classification based at least in part on analyzing the statistical feature vector using a machine learning model, and (v) providing an indication of the object detection and/or classification.

Publication details

Recorded assignee
ANDURIL INDUSTRIES, INC.
Publication number
US 12561945 B1
Publication type
Utility patent grant
Publication date
Feb 24, 2026
Filing date
Apr 24, 2023
CPC classes
G06V10/758, G01S13/90, G01S13/9027
Inventors
Picciolo; Michael Lee, Myrick; Wilbur Leon, Goldstein; Jay Scott

Party names reflect the published document. Current ownership and legal status can change.

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