| US 11,754,708 B1 | ||
| Object detection using propeller noise | ||
| Jean-Guillaume Dominique Durand, Seattle, WA (US); and Chengwu Luke Cui, Redmond, WA (US) | ||
| Assigned to Amazon Technologies, Inc., Seattle, WA (US) | ||
| Filed by Amazon Technologies, Inc., Seattle, WA (US) | ||
| Filed on Dec. 10, 2018, as Appl. No. 16/214,571. | ||
| Int. Cl. G01S 15/93 (2020.01); G01S 15/32 (2006.01); B64C 39/02 (2023.01); G01S 15/04 (2006.01); B64U 10/10 (2023.01); B64U 101/30 (2023.01) | ||
| CPC G01S 15/93 (2013.01) [B64C 39/024 (2013.01); G01S 15/04 (2013.01); G01S 15/325 (2013.01); B64U 10/10 (2023.01); B64U 2101/30 (2023.01); B64U 2201/10 (2023.01)] | 18 Claims |
|
1. A computer-implemented method to detect objects, comprising:
selecting respective noise patterns to be emitted by respective propellers of a plurality of propellers rotated by respective motors during operation of an aerial vehicle; instructing rotation of the plurality of propellers including a first propeller and a second propeller; causing emission of the respective noise patterns based on the rotation of the plurality of propellers, the respective noise patterns including a first noise pattern based on the rotation of the first propeller and a second noise pattern based on the rotation of the second propeller; receiving, using at least one microphone, a first echo of the first noise pattern of the respective noise patterns reflected by an object within an environment of the aerial vehicle; processing the first echo to determine at least one first property associated with the object; and receiving, using the at least one microphone, a second echo of the second noise pattern of the respective noise patterns reflected by the object within the environment of the aerial vehicle; processing the second echo to determine at least one second property associated with the object; and modifying the operation of the aerial vehicle based at least in part on the at least one first property and the at least one second property associated with the object. |