Back to results
US 11,385,659 B2Granted
Counter drone system
AssigneeAnduril Industries, Inc.
InventorsJason Levin, Palmer F. Luckey, Julian Hammerstein, Joseph Chen
Life of this patent
Estimating the term…
Abstract
The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.
Claims16
A system for countering a threat drone, comprising:
- a plurality of sensor systems, wherein a sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a mesh network;
- a counter drone, wherein the counter drone is connected to the mesh network;
- and
- a processor configured to:
- receive an indication of a potential target from the plurality of sensor systems;
- generate a fused data set of the potential target, wherein the fused data set comprises the indication of the potential target and one or more of:
- another indication of the potential target, a raw sensor information, and/or a derived sensor information, wherein generating the fused data set comprises determining that the one or more of the another indication of the potential target, the raw sensor information, and/or the derived sensor information are all associated with the potential target and combining the one or more of the another indication of the potential target, the raw sensor information, and/or the derived sensor information;
- determine that the potential target comprises the threat drone based at least in part on the fused data set, comprising:
- determine that the potential target exists within a geofenced area;
- and
- in response to a determination that the potential target exists within the geofenced area:
- determine a first probability that a potential target image matches a threat drone image, a second probability that a potential target vibration profile matches a threat drone vibration profile, and a third probability that a potential target sound profile matches a threat drone sound profile;
- determine a combined weighted average probability, comprising:
- obtain a first weighted probability by combining a first weight with the first probability;
- obtain a second weighted probability by combining a second weight with the second probability, the first weight being different from the second weight;
- and
- determine the combined weighted average probability based on the first weighted probability, the second weighted probability, and the third probability;
- determine whether the combined weighted average probability is equal to or exceeds a threshold;
- and
- in response to a determination that the combined weighted average probability is equal to or exceeds the threshold, determine that the potential target comprises the threat drone;
- and
- in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.
19 more elements
A method for countering a threat drone, comprising:
- receiving an indication of a potential target from a plurality of sensor systems, wherein a sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a mesh network;
- generating a fused data set of the potential target, wherein the fused data set comprises the indication of the potential target and one or more of:
- another indication of the potential target, a raw sensor information, and/or a derived sensor information, wherein generating the fused data set comprises determining that the one or more of the another indication of the potential target, the raw sensor information, and/or the derived sensor information are all associated with the potential target and combining the one or more of the another indication of the potential target, the raw sensor information, and/or the derived sensor information;
- determining, using a processor, that the potential target comprises the threat drone based at least in part on the fused data set, comprising:
- determining that the potential target exists within a geofenced area;
- and
- in response to a determination that the potential target exists within the geofenced area:
- determining a first probability that a potential target image matches a threat drone image, a second probability that a potential target vibration profile matches a threat drone vibration profile, and a third probability that a potential target sound profile matches a threat drone sound profile;
- determining a combined weighted average probability, comprising:
- obtaining a first weighted probability by combining a first weight with the first probability;
- obtaining a second weighted probability by combining a second weight with the second probability, the first weight being different from the second weight;
- and
- determining the combined weighted average probability based on the first weighted probability, the second weighted probability, and the third probability;
- determining whether the combined weighted average probability is equal to or exceeds a threshold;
- and
- in response to a determination that the combined weighted average probability is equal to or exceeds the threshold, determining that the potential target comprises the threat drone;
- and
- in response to determining that the potential target comprises the threat drone, providing counter drone instructions to the counter drone, wherein the counter drone is connected to the mesh network.
15 more elements
A computer program product for countering a threat drone, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- receiving an indication of a potential target from a plurality of sensor systems, wherein a sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a mesh network;
- generating a fused data set of the potential target, wherein the fused data set comprises the indication of the potential target and one or more of:
- another indication of the potential target, a raw sensor information, and/or a derived sensor information, wherein generating the fused data set comprises determining that the one or more of the another indication of the potential target, the raw sensor information, and/or the derived sensor information are all associated with the potential target and combining the one or more of the another indication of the potential target, the raw sensor information, and/or the derived sensor information;
- determining, using a processor, that the potential target comprises the threat drone based at least in part on the fused data set, comprising:
- determining that the potential target exists within a geofenced area;
- and
- in response to a determination that the potential target exists within the geofenced area:
- determining a first probability that a potential target image matches a threat drone image, a second probability that a potential target vibration profile matches a threat drone vibration profile, and a third probability that a potential target sound profile matches a threat drone sound profile;
- determining a combined weighted average probability, comprising:
- obtaining a first weighted probability by combining a first weight with the first probability;
- obtaining a second weighted probability by combining a second weight with the second probability, the first weight being different from the second weight;
- and
- determining the combined weighted average probability based on the first weighted probability, the second weighted probability, and the third probability;
- determining whether the combined weighted average probability is equal to or exceeds a threshold;
- and
- in response to a determination that the combined weighted average probability is equal to or exceeds the threshold, determining that the potential target comprises the threat drone;
- and
- in response to determining that the potential target comprises the threat drone, providing counter drone instructions to the counter drone, wherein the counter drone is connected to the mesh network.
15 more elements
Dependencies are inferred from the claim text.