US 11,685,050 B2
Autonomous sense and guide machine learning system
N. Reginald Beer, Pleasanton, CA (US); David H. Chambers, Livermore, CA (US); and Jeffrey Edward Mast, Loveland, CO (US)
Assigned to LAWRENCE LIVERMORE NATIONAL SECURITY, LLC, Livermore, CA (US)
Filed by Lawrence Livermore National Security, LLC, Livermore, CA (US)
Filed on Nov. 27, 2019, as Appl. No. 16/697,652.
Prior Publication US 2021/0157337 A1, May 27, 2021
Int. Cl. G05D 1/10 (2006.01); G05B 13/02 (2006.01); G05D 1/00 (2006.01); B64C 39/02 (2023.01); G06T 7/70 (2017.01); G06V 20/10 (2022.01); B25J 9/16 (2006.01); B64U 10/13 (2023.01)
CPC B25J 9/1676 (2013.01) [B64C 39/024 (2013.01); G05B 13/02 (2013.01); G05D 1/0088 (2013.01); G05D 1/101 (2013.01); G06T 7/70 (2017.01); G06V 20/10 (2022.01); B64U 10/13 (2023.01); B64U 2201/10 (2023.01); G06T 2207/30252 (2013.01)] 32 Claims
OG exemplary drawing
 
1. A method performed by one or more computing systems for generating a machine learning system to generate guidance information based on locations of objects, the method comprising:
accessing training data that includes a plurality of training times-of-arrival (TOAs) for each of a plurality of looks and guidance information for the plurality of looks, the guidance information being based on a training collection of object locations, wherein the TOAs of a look of the plurality of looks represent, for each object location of the training collection of object locations, a time between a signal transmitted by each of a plurality of transmitters of a sensor array on a platform that is not located at any of the object locations and a corresponding return signal received by each of a plurality of receivers of the sensor array on the platform, wherein return signals corresponding to an object location of the training collection of object locations represent signals transmitted by the plurality of transmitters of the sensor array on the platform and subsequently reflected from an object at the object location; and
training a machine learning system using the training data wherein the machine learning system inputs TOA information and outputs guidance information.