Systems and methods for mapping manmade objects buried in subterranean surfaces using an unmanned aerial vehicle integrated with radar sensor equipment
AssigneeBGA Technology LLC
InventorsSaikumar Padmanabhan, Srinivas Sridhar
Life of this patent
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Abstract
A method for mapping an object buried in a subterranean surface includes receiving a first input data set. The first input data set is based on a GNSS signal, a SAR signal, and a GPR signal. The method further includes generating a raw image based on the first input data set, comparing the raw image to a calibration data set, identifying an object based on the raw image compared to the calibration data set, transmitting object data to a ground-based post-processing unit, and displaying the object data to a graphic user interface. The calibration data set may be based on material calibration data. The object data may be based on the object identified.
Claims18
An unmanned aerial vehicle (“UAV”) system for mapping an object buried in a subterranean surface, the UAV system comprises:
- a UAV;
- a sensor array;
- a processor;
- and
- a memory, including instructions, which when executed by the processor, cause the system to:
- receive a first input data set, the first input data set based on a Global Navigation Satellite System (“GNSS”) signal, a Synthetic Aperture and RADAR (“SAW”) signal, and a Ground Penetrating Radar (“GPR”) signal;
- generate a raw image based on the first input data set;
- and
- compare the raw image to a calibration data set, the calibration data set based on material calibration data,
- wherein the material calibration data is based on unique spectral reflection patterns of an object in a controlled environment at predefined heights and subterranean conditions.
A method for mapping an object buried in a subterranean surface, the method comprising:
- receiving a first input data set, the first input data set based on a Global Navigation Satellite System (“GNSS”) signal, a Synthetic Aperture and RADAR (“SAR”) signal, and a Ground Penetrating Radar (“GPR”) signal;
- generating a raw image based on the first input data set;
- and
- comparing the raw image to a calibration data set, the calibration data set based on material calibration data,
- wherein the material calibration data is based on unique spectral reflection patterns of an object in a controlled environment at predefined heights and subterranean conditions.
A non-transitory storage medium that stores a program causing a processor to execute a method for mapping an object buried in a subterranean surface, the method comprising:
- receiving a first input data set, the first input data set based on a Global Navigation Satellite System (“GNSS”) signal, a Synthetic Aperture and RADAR (“SAR”) signal, and a Ground Penetrating Radar (“GPR”) signal;
- generating a raw image based on the first input data set;
- comparing the raw image to a calibration data set, the calibration data set based on material calibration data;
- identifying an object based on the raw image compared to the calibration data set;
- and
- comparing the raw image to a calibration data set, the calibration data set based on material calibration data,
- wherein the material calibration data is based on unique spectral reflection patterns of an object in a controlled environment at predefined heights and subterranean conditions.
Dependencies are inferred from the claim text.