Sikorsky Aircraft Corporation

Lockheed Martin Corporation

Sean Scott Carlson

George Nicholas Loussides

Igor Cherepinsky

Garrett Pitcher

Cauvin Polycarpe

Joshua M Leland

Michael Paul Baran

Carl John Pankok, Jr

Alexander Quinn Weintraub

Ronald G Mccall

According to an aspect, a computer-implemented method for water volume estimation includes detecting water based at least in part on sensor-based data; determining a volume of water based at least in part on the sensor-based data; determining a location at the water for an aircraft to retrieve water via a water retrieving apparatus; and translating the location of the water into pilot inputs to guide the aircraft to the water.

Automated water volume estimation

A system for detecting icing includes an optical sensor configured to view at least a portion of an exterior surface or component of an aircraft and to output sensor data indicating at least one optical quality of the exterior surface or component, and an icing detection module. The icing detection module is configured to receive the sensor data from the optical sensor, compare the sensor data to predetermined quality data indicating at least one known optical quality of the exterior surface or component without icing, and determine the presence of icing on the exterior surface or component based on a difference between the sensor data and the predetermined quality data.

Icing detection systems

A method of determining cable angle includes acquiring image data of a cable and a load coupled to a rotorcraft using three-dimensional (3D) spatial perception system, constructing an image of the cable and load using the image data, and determining the angle of the cable relative to the external load at an interface of the cable and external load based on the image.

Systems and methods for controlling rotorcraft external loads

An apparatus is described comprising at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the apparatus to: organize items of raw data received from at least one sensor of a vehicle as a first data structure, organize classified data objects as a second data structure, and link at least one item of the first data structure to at least one object of the second data structure.

Method for three dimensional perception processing and classification

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New Milford, CT, United States of America

Sean Scott Carlson