Patent · US Active

Object classification using machine learning

US12044797B2 · kind B2 · utility

0Cited by

2References

20Claims

0Family size

Assignee

ATAI LABS PVT LTD. · IN

Inventors

Vijay Shankar Khairmode · Hyderabad, IN
Vamsikrishna Devara · Hyderabad, IN
Aanandh Suttamalli Balasubramanian · Hyderabad, IN
Vidya Manoher Bommena · Hyderabad, IN
Gangadhar Gude · Mansanpalle, IN
Kishor Arumilli · Hyderabad, IN

Key dates

Filing date	Dec 31, 2019
Grant date	Jul 23, 2024
Priority date	—
Expiry date	Apr 18, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

Techniques of machine learning of a radar are disclosed, where the radar has a plurality of antennas that are arranged on an antenna array. In an example, a method of machine learning includes obtaining a real training sample from a first real target in field of view of the radar, where the real training sample includes a plurality of first real data signals, where each of the first real data signals are obtained from a corresponding antenna from amongst the plurality of antennas. The method further includes deriving a synthetic training sample by manipulating the plurality of first real data signals to simulate a rotation of the first real target about a pre-determined axis of the antenna array.

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