Systems and methods of sensor data fusion
AssigneeDigital Global Systems, Inc.
InventorArmando Montalvo
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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, comprising:
- at least one computer processor including a memory;
- at least one fusion engine and at least one inference engine;
- at least one first sensor operable to capture a first measurement;
- and
- at least one second sensor operable to capture a second measurement;
- wherein the at least one computer processor is operable to analyze the first measurement and the second measurement;
- wherein the at least one fusion engine is operable to fuse the first measurement and the second measurement and the at least one inference engine is operable to determine at least one inference from the first measurement and the second measurement;
- wherein the at least one inference engine is operable to determine a second inference;
- wherein 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 a vehicle based on the at least one inference being validated.
A method for sensor data fusion for sensor management and utilization, comprising:
- providing at least one computer processor including a memory;
- providing at least one fusion engine and at least one inference engine;
- at least one first sensor capturing a first measurement;
- at least one second sensor capturing a second measurement;
- analyzing by the at least one computer processor the first measurement and the second measurement;
- fusing by the at least one fusion engine the first measurement and the second measurement, and determining at least one inference by the at least one inference engine from the first measurement and the second measurement;
- determining by the at least one inference engine a second inference;
- validating by 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 a vehicle based on the at least one inference being validated.
A system for sensor data fusion for sensor management and utilization, comprising:
- at least one computer processor including a memory;
- at least one fusion engine and at least one inference engine;
- and
- at least two sensors, each of the at least two sensors operable to measure a first measurement and a second measurement;
- wherein the at least one computer processor is operable to analyze the first measurement and the second measurement;
- wherein the at least one fusion engine is operable to fuse the first measurement and the second measurement and the at least one inference engine is operable to determine at least one inference from the first measurement and the second measurement;
- wherein the at least one inference engine is operable to determine a second inference;
- wherein 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;
- and
- wherein the at least one computer processor is operable to instruct a vehicle based on the at least one inference being validated.
Dependencies are inferred from the claim text.