Systems and methods of sensor data fusion

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;
• calculating by the at least one link engine a non-existent link, a weak link, or a strong link between 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 based in part on the strong link and the at least one query, thereby creating fused data;
• wherein the fused data includes at least one new data set;
• wherein the at least one new data set includes an accuracy value for the at least one first distance sensor and/or the at least one second distance sensor;
• and
• instructing by the at least one computer processor the vehicle to brake based on the at least one new data set.

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 link engine is operable to iteratively calculate a non-existent link, a weak link, or a strong link between the first distance and the second distance;
• wherein the at least one fusion engine is operable to fuse the first distance, the second distance, at least one first distance property and/or at least one first distance sub-property, and at least one second distance property and/or at least one second distance sub-property based in part on the strong link and/or the at least one query, thereby creating fused data;
• wherein the fused data includes at least one new data set;
• wherein the at least one new data set includes an accuracy value for the at least two sensors;
• and
• wherein the at least one computer processor is operable to instruct the vehicle to move based on the at least one new data set.