Granted Patent B1

US 12,282,528 · App. 19/024,518 · Granted Apr 22, 2025

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

G06F18/25G06F18/217

Abstract

Claims (53)

1. 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, at least one inference 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, the at least one inference engine is operable to determine at least one inference from 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 inference engine is operable to determine a second inference;

wherein the at least one validation engine is operable to use artificial intelligence to compare the at least one inference to the second inference;

wherein the at least one validation engine validates the at least one inference when the 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 vehicle to move based on the at least one inference being validated.

2. The system of claim 1 , wherein the predefined threshold includes the at least one inference being within about 1% or less of the second inference.

3. The system of claim 1 , wherein the system is operable to store the first distance measurement and the second distance measurement after the at least one validation engine validates the at least one inference.

4. The system of claim 1 , wherein the at least one validation engine is operable to validate the at least one inference passively and/or actively.

5. The system of claim 4 , wherein passive validation includes not modifying an orientation of the at least one first distance sensor and/or the at least one second distance sensor.

6. The system of claim 4 , wherein active validation includes modifying an orientation of the at least one first distance sensor and/or the at least one second distance sensor.

7. The system of claim 1 , 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.

8. 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, at least one inference 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, determining at least one inference by the at least one inference engine from 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;

determining by the at least one inference engine a second inference;

comparing by the at least one validation engine via artificial intelligence the at least one inference to the second inference;

validating by the at least one validation engine the at least one inference when the 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 vehicle to brake based on the at least one inference being validated.

9. The method of claim 8 , wherein the predefined threshold includes the at least one inference being within about 1% or less of the second inference.

10. The method of claim 8 , further comprising validating the at least one inference passively and/or actively.

11. The method of claim 10 , wherein validating passively includes not modifying an orientation of the at least one first distance sensor and/or the at least one second distance sensor.

12. The method of claim 10 , wherein validating actively includes modifying an orientation of the at least one first distance sensor and/or the at least one second distance sensor.

13. The method of claim 8 , further comprising adjusting via the at least one validation engine using artificial intelligence 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.

14. The method of claim 8 , further comprising storing the first distance measurement and the second distance measurement after the at least one validation engine validates the at least one inference.

15. 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, 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 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, the at least one inference engine is operable to determine at least one inference from 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 inference engine is operable to determine a second inference;

wherein the at least one validation engine is operable to use artificial intelligence to compare the at least one inference to the second inference;

wherein the at least one validation engine validates the at least one inference when the 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 vehicle to move based on the at least one inference being validated.

16. The system of claim 15 , wherein the predefined threshold includes the at least one inference being within about 1% or less of the second inference.

17. The system of claim 15 , wherein the at least one validation engine is operable to validate the at least one inference passively and/or actively.

18. The system of claim 17 , wherein passive validation includes not modifying a parameter.

19. The system of claim 17 , wherein active validation includes modifying at least one parameter.

20. The system of claim 15 , wherein the system is operable to store the first distance and the second distance after the at least one validation engine validates the at least one inference.

Assignments (1)

Continuity (2)

References Cited (37)