Commercial and general aircraft avoidance using acoustic pattern recognition
First Claim
1. A method, comprising:
- generating acoustic signals, by one or more acoustic sensors of an unmanned aerial vehicle (UAV), from acoustic waves generated by propulsion of a flying object;
determining one or more characteristic features of the acoustic signals;
identifying the flying object based at least in part on a comparison of the one or more characteristic features to a database of known acoustic signals;
associating performance parameters with the flying object using a database that includes performance parameters for at least one of a plurality of flying objects or class of flying objects;
determining a location and an airspeed associated with the flying object based at least in part on the acoustic signals;
determining a trajectory envelope for the flying object based at least in part on the location, the airspeed and the associated performance parameters; and
updating a flight plan for the UAV based at least in part on the trajectory envelope of the flying object, wherein the updated flight plan does not interact with the trajectory envelope of the flying object.
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Accused Products
Abstract
This disclosure is directed to a detection and avoidance apparatus for an unmanned aerial vehicle (“UAV”) and systems, devices, and techniques pertaining to automated object detection and avoidance during UAV flight. The system may detect objects within the UAV'"'"'s airspace through acoustic, visual, infrared, multispectral, hyperspectral, or object detectable signal emitted or reflected from an object. The system may identify the source of the object detectable signal by comparing features of the received signal with known sources signals in a database. The features may include, for example, an acoustic signature emitted or reflected by the objet. Furthermore, a trajectory envelope for the object may be determined based on characteristic performance parameters for the object such as cursing speed, maneuverability, etc. The UAV may determine an optimized flight plan based on the trajectory envelopes of detected objects within the UAV'"'"'s air-space.
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Citations
20 Claims
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1. A method, comprising:
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generating acoustic signals, by one or more acoustic sensors of an unmanned aerial vehicle (UAV), from acoustic waves generated by propulsion of a flying object; determining one or more characteristic features of the acoustic signals; identifying the flying object based at least in part on a comparison of the one or more characteristic features to a database of known acoustic signals; associating performance parameters with the flying object using a database that includes performance parameters for at least one of a plurality of flying objects or class of flying objects; determining a location and an airspeed associated with the flying object based at least in part on the acoustic signals; determining a trajectory envelope for the flying object based at least in part on the location, the airspeed and the associated performance parameters; and updating a flight plan for the UAV based at least in part on the trajectory envelope of the flying object, wherein the updated flight plan does not interact with the trajectory envelope of the flying object. - View Dependent Claims (2, 3, 4, 5)
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6. An unmanned aerial vehicle (UAV), comprising:
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one or more processors; memory to store computer-readable instructions; one or more audio sensors coupled to the unmanned aerial vehicle (UAV), the one or more audio sensors to generate audio signals from sound received from an object within an airspace at least partially surrounding the UAV; and a flight management component stored within the memory that, when executed, causes the one or more processors to; receive the audio signals associated with the object; determine, based at least in part on an analysis of the audio signals, an identity of the object associated with audio signals; determine performance parameters for the object based at least in part on the identity of the object; and determine a trajectory envelope for the object based at least in part on the performance parameters. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13)
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14. An object detection and avoidance system comprising:
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one or more processors; and memory storing computer-executable instructions that, when executed, cause the one or more processors to perform acts comprising; generating audio signals from sound captured from an object; identifying the object based at least in part on one or more characteristic features of the audio signals; determining performance parameters for the object based at least in part on the identifying of the object; and determining a trajectory envelope of the object based at least in part on the performance parameters. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification