US 12,306,593 B1
Systems and methods of sensor data fusion
Armando Montalvo, Winter Garden, FL (US)
Assigned to Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed by Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed on Jan. 15, 2025, as Appl. No. 19/022,069.
Application 19/022,069 is a continuation of application No. 18/990,121, filed on Dec. 20, 2024.
Application 18/990,121 is a continuation of application No. 18/988,120, filed on Dec. 19, 2024.
Int. Cl. G05B 13/02 (2006.01)
CPC G05B 13/0205 (2013.01) 20 Claims
OG exemplary drawing
 
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 data from a vehicle to at least one object; and
at least one second distance sensor operable to capture a second distance measurement data from the vehicle to the at least one object;
wherein the at least one computer processor is operable to analyze the first distance measurement data and the second distance measurement data;
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 data and the second distance measurement data, creating a curated first distance measurement data and a curated second distance measurement data, the at least one link engine is operable to link the curated first distance measurement data and the curated second distance measurement data, the at least one inference engine is operable to determine at least one inference from the curated first distance measurement data and the curated second distance measurement data, and the at least one validation engine is operable to validate the curated first distance measurement data and the curated second distance measurement data;
wherein the at least one link engine is operable to link the curated first distance measurement data and the curated second distance measurement data based in part on at least one first distance property and at least one second distance property creating a property link and/or based in part on at least one first distance sub-property and at least one second distance sub-property creating a sub-property link;
wherein the at least one link engine is operable to calculate a conditional property entropy between the at least one first distance property and the at least one second distance property and/or a conditional sub-property entropy between the at least one first distance sub-property and the at least one second distance sub-property based in part on the at least one query;
wherein the property link and/or the sub-property link is a non-existent link, a weak link, or a strong link via the conditional property entropy and/or the conditional sub-property entropy;
wherein the at least one fusion engine is operable to fuse the curated first distance measurement data and the curated second distance measurement data;
wherein the at least one fusion engine creates 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.