Granted Patent B2

US 12,561,406 · App. 19/319,105 · Granted Feb 24, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

G06F18/256B25J9/163B60R19/483B60T8/1755B60T8/3275B60W10/18B60W10/184B60W30/085B60W30/09B60W60/0018B60W60/00186B62D15/0285G01C3/00G01C21/3804G01C21/3811G01C21/3848G01C22/00G01S5/14G01S11/00G01S13/08G01S13/103G01S13/42G01S15/08G01S15/101G01S15/42G01S17/08G01S17/88G01S17/894G05B13/0205G06F7/14G06F7/16G06F16/24G06F16/245G06F16/2455G06F16/24556G06F16/2456G06F16/33G06F16/334G06F16/43G06F16/53G06F16/903G06F16/90335G06F16/9035G06F17/18G06F18/217G06F18/2431G06F18/25G06F18/251G06N3/02G06N3/0464G06N5/022G06N5/042G06N5/045G06N5/046G06N5/048G06T7/521G06V10/764G06V10/803G06V10/82G06V20/56H04L67/12H04W4/38B25J9/1664B25J9/1694B60T2201/00B60T2201/03B60W2050/0052B60W60/00B60W2420/00B60W2420/40B60W2420/403B60W2420/408B60W2420/50B60W2510/069B60W2510/18B60W2520/04B60W2540/12B60W2554/801B60W2554/802B60W2556/35B60W2710/18B60W2754/30G01C21/1652G01S7/4808G01S2013/93185G05D2101/15G05D2111/50G05D2111/67G06F18/213G06N5/04G06N20/00G06T2207/10028G06T2207/20024G06T2207/20084G06T2207/30252G06T2207/30264G06V10/80G08B29/188G08G1/0133G08G1/04G08G1/042

Abstract

Claims (62)

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 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, thereby creating fused data, 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 fused data includes at least one new data set;

wherein the at least one validation engine is operable to actively validate the fused data;

wherein the active validation of the fused data includes modification of an orientation of the at least one first distance sensor, and the at least one first distance sensor capturing a third distance measurement from the vehicle to the at least one object at the modified orientation to generate a second data set;

wherein the active validation of the fused data further includes the at least one validation engine comparing the fused data to the second data set via a statistical comparison;

wherein the at least one new data set is not saved unless the at least one validation engine validates the fused data;

wherein the at least one new data set includes an accuracy value for the at least one first distance sensor and the at least one second distance sensor;

wherein the at least one inference engine determines the at least one inference by using artificial intelligence based in part 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.

2 . The system of claim 1 , wherein the at least one inference includes a distance from the vehicle to the at least one object.

3 . The system of claim 1 , wherein the at least one inference engine is operable to determine the at least one inference in real-time.

4 . The system of claim 1 , wherein the at least one inference engine is operable to determine which of the at least one first distance sensor and/or the at least one second distance sensor the at least one computer processor responds to based in part on the at least one inference.

5 . The system of claim 1 , wherein the at least one inference includes a numerical value.

6 . The system of claim 1 , wherein the at least one inference includes a prediction of a future event based in part on the fused data.

7 . 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;

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, thereby creating fused data, 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;

wherein the fused data includes at least one new data set;

actively validating by the at least one validation engine the fused data;

wherein actively validating the fused data includes modifying an orientation of the at least one first distance sensor, and the at least one first distance sensor capturing a third distance measurement from the vehicle to the at least one object at the modified orientation, thereby generating a second data set;

wherein actively validating the fused data further includes the at least one validation engine comparing the fused data to the second data set via a statistical comparison;

wherein the at least one new data set is not saved unless the at least one validation engine validates the fused data;

wherein the at least one new data set includes an accuracy value for the at least one first distance sensor and the at least one second distance sensor;

determining via the at least one inference engine the at least one inference by using artificial intelligence based in part on the at least one new data set; and

instructing by the at least one computer processor movement of the vehicle based on the at least one new data set.

8 . The method of claim 7 , wherein the at least one inference includes a distance from the vehicle to the at least one object.

9 . The method of claim 7 , wherein the at least one inference includes a numerical value.

10 . The method of claim 7 , further comprising predicting via the at least one inference engine a future event based in part on the fused data.

11 . The method of claim 7 , wherein determining the at least one inference occurs in real-time.

12 . The method of claim 7 , further comprising determining via the at least one inference engine which of the at least one first distance sensor and/or the at least one second distance sensor the at least one computer processor responds to based in part on the at least one inference.

13 . The method of claim 7 , further comprising validating the at least one inference by the at least one validation engine by comparing the at least one inference to a second inference.

14 . 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 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, thereby creating fused data, 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 fused data includes at least one new data set;

wherein the at least one validation engine is operable to actively validate the fused data;

wherein the active validation of the fused data includes modification of an orientation of at least one of the at least two sensors, the at least one of the at least two sensors capturing a third distance measurement from the vehicle to the at least one object at the modified orientation to generate a second data set;

wherein the active validation of the fused data further includes the at least one validation engine comparing the fused data to the second data set via a statistical comparison;

wherein the at least one new data set is not saved unless the at least one validation engine validates the fused data;

wherein the at least one new data set includes an accuracy value for each of the at least two sensors;

wherein the at least one inference engine determines the at least one inference by using artificial intelligence based in part on the at least one new data set;

wherein the at least one validation engine is operable to validate the at least one inference by comparing the at least one inference to a second inference; 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.

15 . The system of claim 14 , wherein the at least one inference includes a distance from the vehicle to the at least one object.

16 . The system of claim 14 , wherein the at least one inference engine is operable to determine which of the at least one first distance sensor and/or the at least one second distance sensor the at least one computer processor responds to based in part on the at least one inference.

17 . The system of claim 14 , wherein the at least one inference includes a numerical value.

18 . The system of claim 14 , wherein the at least one inference engine is operable to determine the at least one inference in real-time.

19 . The system of claim 14 , wherein the at least one inference includes a prediction of a future event based in part on the fused data.

20 . The system of claim 14 , wherein the at least one new data set includes an accuracy value for each of the at least two sensors.

Assignments (1)

Continuity (4)

References Cited (184)