US 12,272,252 B2
Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles
Rene Seeber, Kassel (DE); Ingo Seebach, Kassel (DE); Henning Meyer, Kassel (DE); Markus Schoeler, Kassel (DE); Kai Baumgart, Kassel (DE); Christian Scheibe, Kassel (DE); and David Prantl, Hamburg (DE)
Assigned to Dedrone Holdings, Inc., Palo Alto, CA (US)
Filed by Dedrone Holdings, Inc., Palo Alto, CA (US)
Filed on Aug. 17, 2022, as Appl. No. 17/889,897.
Application 17/889,897 is a continuation of application No. 16/819,401, filed on Mar. 16, 2020, abandoned.
Application 16/819,401 is a continuation of application No. 16/264,085, filed on Jan. 31, 2019, granted, now 10,621,443, issued on Apr. 14, 2020.
Application 16/264,085 is a continuation of application No. 15/346,269, filed on Nov. 8, 2016, granted, now 10,229,329, issued on Mar. 12, 2019.
Prior Publication US 2022/0406067 A1, Dec. 22, 2022
Int. Cl. G08G 5/00 (2006.01); B64D 1/02 (2006.01); B64U 20/87 (2023.01); G01S 13/04 (2006.01); G01S 13/536 (2006.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 20/52 (2022.01); B64U 101/16 (2023.01); B64U 101/17 (2023.01); B64U 101/31 (2023.01); G06T 7/194 (2017.01)
CPC G08G 5/0026 (2013.01) [B64D 1/02 (2013.01); B64U 20/87 (2023.01); G01S 13/04 (2013.01); G01S 13/536 (2013.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 20/52 (2022.01); G08G 5/006 (2013.01); G08G 5/0069 (2013.01); G08G 5/0082 (2013.01); B64U 2101/16 (2023.01); B64U 2101/17 (2023.01); B64U 2101/31 (2023.01); G06T 7/194 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/30212 (2013.01); G06T 2207/30232 (2013.01); G06V 2201/07 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a data store; and
at least one computing device in communication with the data store, the at least one computing device being configured to:
receive first data from a first sensor proximate to a particular air space, the first sensor corresponding to a first type of data;
analyze the first data to determine a first confidence measure that a UAV is within the particular air space;
receive second data from a second sensor proximate to the particular air space, the second sensor corresponding to a second type of data;
analyze the second data to determine a second confidence measure that the UAV is within the particular air space;
receive third data from a third sensor proximate to the particular air space, the third sensor corresponding to a third type of data;
analyze the third data to determine a third confidence measure that the UAV is within the particular air space;
receive fourth data from a fourth sensor proximate to the particular air space, the fourth sensor corresponding to a fourth type of data;
analyze the fourth data to determine a fourth confidence measure that the UAV is within the particular air space;
aggregate the first confidence measure, the second confidence measure, the third confidence measure, and the fourth confidence measure into a combined confidence measure indicating a possible presence of the UAV within in the particular air space; and
upon determination that the combined confidence measure exceeds a predetermined threshold value, perform at least one action.