| CPC G05B 13/0205 (2013.01) [B25J 9/163 (2013.01); B25J 9/1694 (2013.01); B60R 19/483 (2013.01); B60W 10/18 (2013.01); B60W 30/085 (2013.01); B60W 30/09 (2013.01); B60W 60/00 (2020.02); B60W 60/0018 (2020.02); B60W 60/00186 (2020.02); G01C 3/00 (2013.01); G01C 21/1652 (2020.08); G01C 21/3804 (2020.08); G01C 21/3811 (2020.08); G01C 21/3848 (2020.08); G01C 22/00 (2013.01); G01S 5/14 (2013.01); G01S 7/4808 (2013.01); G01S 13/08 (2013.01); G01S 13/103 (2013.01); G01S 15/08 (2013.01); G01S 17/08 (2013.01); G06F 16/24 (2019.01); G06F 16/245 (2019.01); G06F 16/2455 (2019.01); G06F 16/903 (2019.01); G06F 16/90335 (2019.01); G06F 16/9035 (2019.01); G06F 18/217 (2023.01); G06F 18/2431 (2023.01); G06F 18/25 (2023.01); G06F 18/251 (2023.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); G06T 7/521 (2017.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01); G08G 1/0133 (2013.01); G08G 1/04 (2013.01); G08G 1/042 (2013.01); H04L 67/12 (2013.01); H04W 4/38 (2018.02); B60W 2050/0052 (2013.01); B60W 2420/00 (2013.01); B60W 2420/40 (2013.01); B60W 2420/50 (2013.01); B60W 2510/069 (2013.01); B60W 2510/18 (2013.01); B60W 2520/04 (2013.01); B60W 2540/12 (2013.01); B60W 2556/35 (2020.02); B60W 2710/18 (2013.01); G01S 2013/93185 (2020.01); G05D 2101/15 (2024.01); G05D 2111/50 (2024.01); G05D 2111/67 (2024.01); G06F 17/18 (2013.01); G06F 18/213 (2023.01); G06F 18/256 (2023.01); G06T 2207/20024 (2013.01); G06V 10/80 (2022.01); G08B 29/188 (2013.01)] | 20 Claims |

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1. A system for sensor data fusion for sensor management and utilization, comprising:
at least one computer processor including a memory;
at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;
at least one first sensor of a first sensor type, operable to measure a first parameter of a machine; and
at least one second sensor of a second sensor type, operable to measure a second parameter of the machine;
wherein the at least one computer processor is operable to analyze data relating to the first parameter and the second parameter;
wherein the at least one computer processor is operable to receive at least one query;
wherein the at least one curation engine is operable to curate the first parameter and the second parameter in real time, the at least one link engine is operable to link the first parameter and the second parameter in real time, the at least one fusion engine is operable to fuse the first parameter and the second parameter in real time, thereby creating fused data, the at least one inference engine is operable to determine at least one inference from the first parameter and the second parameter in real time, and the at least one validation engine is operable to validate the first parameter and the second parameter in real time;
wherein the fused data includes at least one new data set;
wherein the at least one inference engine determines the at least one inference by using artificial intelligence;
wherein the at least one validation engine is operable to create a statistical comparison between the at least one inference and at least one new inference and determine if the statistical comparison exceeds a predefined threshold to automatically validate the at least one inference in real time;
wherein the statistical comparison includes calculating a conditional entropy of curated data from the first parameter and the second parameter;
wherein the at least one computer processor is operable to instruct modification of the machine based on the automatically validated at least one inference and/or the at least one new data set; and
wherein the modification of the machine includes adjusting an orientation of a satellite.
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