US 12,282,340 B2
Counter drone system
Jason Levin, Costa Mesa, CA (US); Palmer F. Luckey, Newport Beach, CA (US); Julian Hammerstein, Murrieta, CA (US); and Joseph Chen, Irvine, CA (US)
Assigned to Anduril Industries, Inc., Costa Mesa, CA (US)
Filed by Anduril Industries, Inc., Costa Mesa, CA (US)
Filed on Jan. 4, 2024, as Appl. No. 18/404,684.
Application 18/404,684 is a continuation of application No. 17/830,000, filed on Jun. 1, 2022, granted, now 11,899,473.
Application 17/830,000 is a continuation of application No. 16/415,924, filed on May 17, 2019, granted, now 11,385,659, issued on Jul. 12, 2022.
Prior Publication US 2024/0142996 A1, May 2, 2024
Int. Cl. F41H 11/02 (2006.01); B64D 7/00 (2006.01); G01H 9/00 (2006.01); G01S 7/41 (2006.01); G01S 7/48 (2006.01); G05D 1/00 (2006.01); G05D 1/683 (2024.01); H04W 4/021 (2018.01); B64U 101/15 (2023.01)
CPC G05D 1/12 (2013.01) [B64D 7/00 (2013.01); F41H 11/02 (2013.01); G05D 1/683 (2024.01); H04W 4/021 (2013.01); B64U 2101/15 (2023.01); B64U 2201/10 (2023.01); G01H 9/00 (2013.01); G01S 7/41 (2013.01); G01S 7/4802 (2013.01)] 23 Claims
OG exemplary drawing
 
1. 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 network;
a counter drone, wherein the counter drone is connected to the 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, wherein the derived sensor, information is generated using the raw sensor information, and wherein the derived sensor information comprises an altitude, a position data, a location within a geo-fenced area, a target trajectory, a radar image, an infrared image, an optical image, a lidar image, a vibration profile, an RF profile, a sound profile, and/or an absence or a presence of an RF immunity beacon;
determine that the potential target does not comprise the threat drone based at least in part on the fused data set, comprising to:
determine that a characteristic of the potential target is not within a geofenced area; and
in response to determining that the characteristic of the potential target is not within the geofenced area:
determine that a trajectory of the potential target will take the potential target within the geofenced area; and
in response to determining that the trajectory of the potential target will take the potential target 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 probability based on a combination of the first probability, the second probability, and the third probability;
 determine whether the combined probability is equal to or exceeds a threshold; and
 in response to determining that the combined probability is less than the threshold, determine that the potential target does not comprise the threat drone; and
in response to determining that the potential target comprises does not comprise the threat drone, provide omit providing counter drone instructions to the counter drone.