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US 12,748,823 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 fusion engine, at least one inference engine, and at least one validation engine;
- at least one first position sensor operable to capture a first position measurement of a robotic component;
- and
- at least one second position 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 fusion engine is operable to fuse the first position measurement and the second position measurement, and wherein the at least one inference engine is operable to determine at least one inference from the first position measurement and the second position measurement;
- wherein the at least one inference engine is operable to determine a second inference;
- wherein the at least one validation engine validates the at least one inference when a comparison between the at least one inference and the second inference exceeds a predefined threshold;
- and
- wherein the at least one computer processor is operable to instruct the robotic component.
8 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 fusion engine, at least one inference engine, and at least one validation engine;
- at least one first position sensor capturing a first position measurement of a robotic component;
- at least one second position 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;
- fusing by the at least one fusion engine the first position measurement and the second position measurement, and determining at least one inference by the at least one inference engine from the first position measurement and the second position measurement;
- determining by the at least one inference engine a second inference;
- validating by the at least one validation engine the at least one inference when a comparison between the at least one inference and the second inference exceeds a predefined threshold;
- and
- instructing by the at least one computer processor the robotic component based on the at least one inference being validated.
7 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 fusion engine, at least one inference engine, and at least one validation engine;
- and
- at least two sensors, each of the at least two sensors operable to measure a first position of a robotic component and a second position of the robotic component;
- wherein the at least one computer processor is operable to analyze the first position and the second position;
- wherein the at least one fusion engine is operable to fuse the first position and the second position, and wherein the at least one inference engine is operable to determine at least one inference from the first position and the second position;
- wherein the at least one inference engine is operable to determine a second inference;
- wherein the at least one validation engine validates the at least one inference when a comparison between the at least one inference and the second inference exceeds a predefined threshold;
- wherein the at least one validation engine is operable to use artificial intelligence to dynamically adjust the predefined threshold based in part on types of data sources, environmental factors, and/or learning from previous analyses conducted by the at least one validation engine;
- and
- wherein the at least one computer processor is operable to instruct the robotic component based on the at least one inference being validated.
8 more elements
Dependencies are inferred from the claim text.