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US 12,576,534 B2Granted
Systems and methods of sensor data fusion
AssigneeDigital Global Systems, Inc.
InventorArmando Montalvo
Life of this patent
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Abstract
Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.
Claims20
A system for sensor data fusion for sensor management and utilization in robotics, comprising:
- at least one computer processor including a memory;
- at least one curation engine, at least one inference engine, and at least one fusion engine;
- at least one first sensor operable to capture a first position measurement of a robotic component;
- and
- at least one second sensor operable to capture a second position measurement of the robotic component;
- wherein the at least one computer processor is operable to analyze the first position measurement and the second position measurement;
- wherein the at least one curation engine is operable to curate the first position measurement and the second position measurement;
- wherein the at least one curation engine is operable to curate the first position measurement by categorizing the first position measurement into at least one first position property and/or at least one first position sub-property;
- wherein the at least one curation engine is operable to curate the second position measurement by categorizing the second position measurement into at least one second position property and/or at least one second position sub-property;
- wherein the at least one fusion engine is operable to fuse the curated first position measurement and the curated second position measurement;
- wherein the at least one inference engine includes at least one artificial intelligence (AI) agent operable to create an inference;
- and
- wherein the at least one computer processor is operable to instruct the robotic component based on the fused curated first position measurement and fused curated second position measurement.
10 more elements
A method for sensor data fusion for sensor management and utilization in robotics, comprising:
- providing at least one computer processor including a memory;
- providing at least one curation engine, at least one inference engine, and at least one fusion engine;
- at least one first sensor capturing a first position measurement of a robotic component;
- at least one second sensor capturing a second position measurement of the robotic component;
- analyzing by the at least one computer processor the first position measurement and the second position measurement;
- curating by the at least one curation engine the first position measurement and the second position measurement;
- curating by the at least one curation engine the first position measurement by categorizing the first position measurement into at least one first position property and/or at least one first position sub-property;
- curating by the at least one curation engine the second position measurement by categorizing the second position measurement into at least one second position property and/or at least one second position sub-property;
- fusing by the at least one fusion engine the curated first position measurement and the curated second position measurement;
- creating by the at least one inference engine, using at least one artificial intelligence (AI) agent, an inference;
- and
- instructing the robotic component by the at least one computer processor based on the fused curated first position measurement and fused curated second position measurement.
9 more elements
A system for sensor data fusion for sensor management and utilization in robotics, comprising:
- at least one computer processor including a memory;
- at least one curation engine, at least one inference engine, and at least one fusion engine;
- and
- at least two sensors, each of the at least two sensors operable to measure a first velocity of a robotic component and a second velocity of the robotic component;
- wherein the at least one computer processor is operable to analyze the first velocity and the second velocity;
- wherein the at least one curation engine is operable to curate the first velocity and the second velocity, and the at least one fusion engine is operable to fuse the first velocity and the second velocity;
- wherein the at least one curation engine is operable to curate the first velocity by categorizing the first velocity into at least one first velocity property and/or at least one first velocity sub-property based in part on at least one query;
- wherein the at least one curation engine is operable to curate the second velocity by categorizing the second velocity into at least one second velocity property and/or at least one second velocity sub-property based in part on the at least one query;
- wherein the at least one curation engine is operable to filter the first velocity and the second velocity;
- wherein the at least one fusion engine is operable to fuse the curated first velocity and the curated second velocity;
- wherein the at least one inference engine includes at least one artificial intelligence (AI) agent operable to create an inference;
- and
- wherein the at least one computer processor is operable to instruct the robotic component based on the fused curated first velocity and fused curated second velocity.
10 more elements
Dependencies are inferred from the claim text.