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Title: Autonomous sense and guide machine learning system

Abstract

A system for generating a machine learning system to generate guidance information based on locations of objects is provided. The system accesses training data that includes training time-of-arrival (“TOA”) information of looks and guidance information for each look. The guidance information is based on a training collection of object locations. The TOA of a look represents, for each object location of a training collection of object locations, times between signals transmitted by transmitters and return signals received by receivers. The return signals represent signals reflected from an object at the object location. The system trains a machine learning system using the training data wherein the machine learning system inputs TOA information and outputs guidance information.

Inventors:
; ;
Issue Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1998524
Patent Number(s):
11685050
Application Number:
16/697,652
Assignee:
Lawrence Livermore National Security, LLC (Livermore, CA)
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Patent
Resource Relation:
Patent File Date: 11/27/2019
Country of Publication:
United States
Language:
English

Citation Formats

Beer, N. Reginald, Chambers, David H., and Mast, Jeffrey Edward. Autonomous sense and guide machine learning system. United States: N. p., 2023. Web.
Beer, N. Reginald, Chambers, David H., & Mast, Jeffrey Edward. Autonomous sense and guide machine learning system. United States.
Beer, N. Reginald, Chambers, David H., and Mast, Jeffrey Edward. Tue . "Autonomous sense and guide machine learning system". United States. https://www.osti.gov/servlets/purl/1998524.
@article{osti_1998524,
title = {Autonomous sense and guide machine learning system},
author = {Beer, N. Reginald and Chambers, David H. and Mast, Jeffrey Edward},
abstractNote = {A system for generating a machine learning system to generate guidance information based on locations of objects is provided. The system accesses training data that includes training time-of-arrival (“TOA”) information of looks and guidance information for each look. The guidance information is based on a training collection of object locations. The TOA of a look represents, for each object location of a training collection of object locations, times between signals transmitted by transmitters and return signals received by receivers. The return signals represent signals reflected from an object at the object location. The system trains a machine learning system using the training data wherein the machine learning system inputs TOA information and outputs guidance information.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {6}
}

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