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US 12,585,733 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 autonomous transportation comprising:
- at least one computer processor including a memory;
- at least one curation engine, at least one link engine, at least one fusion engine, and at least one validation engine;
- at least one first distance sensor operable to capture a first distance measurement from a vehicle to at least one object;
- and
- at least one second distance sensor operable to capture a second distance measurement from the vehicle to the at least one object;
- wherein the at least one computer processor is operable to analyze the first distance measurement and the second distance measurement;
- 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 distance measurement and the second distance measurement, the at least one link engine is operable to link the first distance measurement and the second distance measurement, the at least one fusion engine is operable to fuse the first distance measurement and the second distance measurement, and the at least one validation engine is operable to validate the first distance measurement and the second distance measurement;
- wherein the at least one curation engine is operable to adjust an environmental sampling rate;
- wherein the at least one link engine is operable to link the first distance measurement and the second distance measurement exceeding a mathematical threshold;
- wherein the mathematical threshold is dynamically adjusted based on the at least one query;
- wherein the at least one curation engine is operable to curate the first distance measurement by categorizing the first distance measurement into at least one first distance property or at least one first distance sub-property;
- wherein the at least one first distance property or the at least one first distance sub-property includes at least one first data point of the vehicle;
- wherein the at least one curation engine is operable to curate the second distance measurement by categorizing the second distance measurement into at least one second distance property or at least one second distance sub-property;
- wherein the at least one second distance property or the at least one second distance sub-property includes the at least one first data point of the vehicle or at least one second data point of the vehicle;
- wherein the at least one fusion engine is operable to fuse the first distance measurement and the second distance measurement;
- wherein the at least one fusion engine creates at least one new data set;
- wherein at least one inference engine is operable to determine internal sensor damage for the at least one first distance sensor or the at least one second distance sensor based on the at least one new data set;
- and
- wherein the at least one computer processor is operable to instruct the vehicle to brake based on the at least one new data set.
17 more elements
A method for sensor data fusion for sensor management and utilization in autonomous transportation comprising:
- providing at least one computer processor including a memory;
- providing at least one curation engine, at least one link engine, at least one fusion engine, and at least one validation engine;
- at least one first distance sensor capturing a first distance measurement from a vehicle to at least one object;
- at least one second distance sensor capturing a second distance measurement from the vehicle to the at least one object;
- analyzing by the at least one computer processor the first distance measurement and the second distance measurement;
- receiving by the at least one computer processor at least one query;
- curating by the at least one curation engine the first distance measurement and the second distance measurement, linking by the at least one link engine the first distance measurement and the second distance measurement, fusing by the at least one fusion engine the first distance measurement and the second distance measurement, and validating by the at least one validation engine the first distance measurement and the second distance measurement;
- adjusting by the at least one curation engine an environmental sampling rate;
- linking by the at least one link engine the first distance measurement and the second distance measurement exceeding a mathematical threshold;
- dynamically adjusting by the at least one link engine the mathematical threshold based on the at least one query;
- curating by the at least one curation engine the first distance measurement by categorizing the first distance measurement into at least one first distance property or at least one first distance sub-property;
- wherein the at least one first distance property or the at least one first distance sub-property includes at least one first data point of the vehicle;
- curating by the at least one curation engine the second distance measurement by categorizing the second distance measurement into at least one second distance property or at least one second distance sub-property;
- wherein the at least one second distance property or the at least one second distance sub-property includes the at least one first data point of the vehicle or at least one second data point of the vehicle;
- fusing by the at least one fusion engine the first distance measurement and the second distance measurement;
- creating by the at least one fusion engine at least one new data set;
- determining by at least one inference engine internal sensor damage for the at least one first distance sensor or the at least one second distance sensor based on the at least one new data set;
- and
- instructing by the at least one computer processor the vehicle to brake based on the at least one new data set.
16 more elements
A system for sensor data fusion for sensor management and utilization in autonomous transportation comprising:
- at least one computer processor including a memory;
- at least one curation engine, at least one link engine, at least one fusion engine, and at least one validation engine;
- and
- at least two sensors, each of the at least two sensors operable to measure a first distance from a vehicle to at least one object and a second distance from the vehicle to the at least one object;
- wherein the at least one computer processor is operable to analyze the first distance and the second distance;
- 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 distance and the second distance, the at least one link engine is operable to link the first distance and the second distance, the at least one fusion engine is operable to fuse the first distance and the second distance, and the at least one validation engine is operable to validate the first distance and the second distance;
- wherein the at least one curation engine is operable to adjust an environmental sampling rate;
- wherein the at least one link engine is operable to link the first distance measurement and the second distance measurement exceeding a mathematical threshold;
- wherein the mathematical threshold is dynamically adjusted based on the at least one query;
- wherein the at least one curation engine is operable to curate the first distance by categorizing the first distance into at least one first distance property or at least one first distance sub-property based in part on the at least one query;
- wherein the at least one first distance property or the at least one first distance sub-property includes at least one first data point of the vehicle;
- wherein the at least one curation engine is operable to curate the second distance by categorizing the second distance into at least one second distance property or at least one second distance sub-property based in part on the at least one query;
- wherein the at least one second distance property or the at least one second distance sub-property includes the at least one additional data point of the vehicle or at least one second data point of the vehicle;
- wherein the at least one fusion engine is operable to fuse the first distance and the second distance;
- wherein the at least one fusion engine creates at least one new data set;
- wherein at least one inference engine is operable to determine internal sensor damage for the at least two sensors based on the at least one new data set;
- and
- wherein the at least one computer processor is operable to instruct the vehicle to brake based on the at least one new data set.
16 more elements
Dependencies are inferred from the claim text.