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US 12,743,959 B2Granted
Spaceborne neural network for unmanned traffic management
AssigneeDrobotics, LLC
InventorEyal Stein
Life of this patent
Estimating the term…
Abstract
A HAPS platform may execute a neural network (a “HAPSNN”) as it monitors air traffic; the neural network enables it to classify, predict, and resolve events in its airspace of coverage in real time as well as learn from new events that have never before been seen or detected. The HAPSNN-equipped HAPS platform may provide surveillance of nearly 100% of air traffic in its airspace of coverage, and the HAPSNN may process data received from a drone to facilitate safe and efficient drone operation within an airspace.
Claims24
A satellite-based communication network for communication with unmanned aerial vehicles (UAVs), comprising:
- a wireless transceiver;
- a computer memory;
- a communication facility for communicating, via the transceiver, with UAVs operating within a defined airspace;
- and
- a computer including a processor and electronically stored instructions, executable by the processor, for using data received from the UAVs as input to a predictor that has been computationally trained to classify inspection data from the UAV as normal or anomalous, and identify actions to be taken based on a UAV state and a condition affecting its flight, in real-time, to enable the UAV to deviate from a preprogrammed flight path to inspect an anomalous detection,
- wherein the UAV state comprises a spatial position and a velocity,
- the computer being further configured to
- while the UAV is traversing the preprogrammed flight path:
- determine, prior to any communication between a UAV and a terrestrial communication source, based on the identified actions to be taken provided by the predictor, terrestrial features and their likelihood of interfering with current or future communications between the UAV and the terrestrial communication source during traversal of the deviation from the preprogrammed flight path, and
- in response to a determination that the likelihood exceeds a threshold, establish a communication link bridging the UAV and the terrestrial communication source.
7 more elements
A satellite based communication network for communication with unmanned aerial vehicles (UAVs), comprising:
- a wireless transceiver;
- a computer memory;
- a communication facility for communicating, via the transceiver, with UAVs operating within a defined airspace;
- and
- a computer including a processor and electronically stored instructions, executable by the processor, for using data received from the UAVs as input to a predictor that has been computationally trained to classify inspection data from the UAV as normal or anomalous, and identify actions to be taken based on a UAV state and a condition affecting its flight, in real-time, to enable the UAV to deviate from a preprogrammed flight path to inspect an anomalous detection wherein the computer is configured for communication with air-traffic control infrastructure,
- wherein the UAV state comprises a spatial position and a velocity, the computer being further configured to
- (i) predictively determine, based on an anomalous detection and the identified actions to be taken provided by the predictor, a need for an altered flight plan for the UAV, and
- (ii) in response to a determination, based on the identified actions to be taken provided by the predictor, that the altered flight plan is needed, cause the transceiver to wirelessly obtain authorization for the altered flight plan from the air-traffic control infrastructure and thereupon communicate the authorized altered flight plan to the UAV.
5 more elements
A method of controlling a defined airspace using a satellite-based communication network, the method comprising the steps of:
- wirelessly monitoring a state of at least one unmanned aerial vehicle (UAV) operating in the defined airspace, wherein the UAV state comprises a spatial position and a velocity;
- detecting flight-affecting conditions in the defined airspace;
- using data received from the at least one UAV as input to a predictor that has been computationally trained to classify inspection data from the UAV as normal or anomalous, and identify actions to be taken based on the UAV state and a detected flight-affecting condition, in real-time, to enable the UAV to deviate from a preprogrammed flight path to inspect an anomalous detection;
- and
- using the predictor, causing the satellite-based communication network to:
- while the UAV is traversing the preprogrammed flight path:
- prior to any communication between a UAV and a terrestrial communication source, determine, based on the identified actions to be taken provided by the predictor, terrestrial features and their likelihood of interfering with current or future communications between the UAV and the terrestrial communication source during traversal of the deviation from the preprogrammed flight path, and
- determine that the likelihood exceeds a threshold,
- in response to a determination that the likelihood exceeds a threshold, establish a communication link bridging the UAV and the terrestrial communication source.
6 more elements
A method of controlling a defined airspace using a satellite-based communication network configured for communication with air-traffic control infrastructure, the method comprising the steps of:
- wirelessly monitoring a state of at least one unmanned aerial vehicle (UAV) operating in the defined airspace, wherein the UAV state comprises a spatial position and a velocity;
- detecting flight-affecting conditions in the defined airspace;
- using data received from the at least one UAV as input to a predictor that has been computationally trained to classify inspection data from the UAV as normal or anomalous, and identify actions to be taken based on the UAV state and a detected flight-affecting condition in real-time to enable the UAV to deviate from a preprogrammed flight path to inspect an anomalous detection;
- and
- using the predictor, causing the satellite-based communication network to:
- computationally determine, based on an anomalous detection and the identified actions to be taken provided by the predictor, a predicted need for an altered flight plan for the UAV;
- and
- in response to a determination, based on the identified actions to be taken provided by the predictor, that the altered flight plan is needed, wirelessly obtain authorization for the altered flight plan from the air-traffic control infrastructure and communicate the authorized altered flight plan to the UAV.
5 more elements
Dependencies are inferred from the claim text.