Abstract: A vertical landing vehicle including an airframe forming a hull and having at least one wing coupled to the airframe, at least one proximity sensor coupled to the airframe, and a flight control system including a control processor and an operator interface, wherein the at least one proximity sensor is coupled to the control processor, wherein the control processor, based on signals from the at least one proximity sensor, is configured to generate, for presentation through the operator interface, situational awareness indications corresponding to portions of the hull sensed by the at least one proximity sensor and obstacles sensed by the at least one proximity sensor, and wherein the situational awareness indications comprise a terrain map overlay including positional relationships between the hull and the obstacles.

Abstract: Disclosed herein is a method that comprises acquiring one or more images of a plurality of markers of an off-board target using a camera onboard a rotorcraft, the plurality of markers arranged in a predefined pattern. The method also comprises processing, using an image processor, the one or more images of the plurality of markers to identify the predefined pattern of the plurality of markers. The method further comprises determining guidance information for the rotorcraft relative to the off-board target based on the identified predefined pattern of the plurality of markers, an orientation of the plurality of markers and a relative spacing of the plurality of markers. The method additionally comprises providing the determined guidance information to a display device within a field of view of an operator of the rotorcraft.

Abstract: Disclosed herein is a method that comprises acquiring one or more images of a plurality of markers of an off-board target using a camera onboard a rotorcraft, the plurality of markers arranged in a predefined pattern. The method also comprises processing, using an image processor, the one or more images of the plurality of markers to identify the predefined pattern of the plurality of markers. The method further comprises determining guidance information for the rotorcraft relative to the off-board target based on the identified predefined pattern of the plurality of markers, an orientation of the plurality of markers and a relative spacing of the plurality of markers. The method additionally comprises providing the determined guidance information to a display device within a field of view of an operator of the rotorcraft.

Abstract: Disclosed herein is a method that comprises acquiring one or more images of an off-board signal source using a camera onboard a rotorcraft. The off-board signal source comprises a beacon array, which comprises at least two beacons. The method also comprises processing, using an image processor, the one or more images of the beacon array to identify one or more coded signals that are propagated from the off-board signal sour. The method further comprises decoding the one or more coded signals to identify information for providing guidance to an operator of the rotorcraft.

Abstract: A vertical landing vehicle including an airframe forming a hull and having at least one wing coupled to the airframe, at least one proximity sensor coupled to the airframe, and a flight control system including a control processor and an operator interface, wherein the at least one proximity sensor is coupled to the control processor, wherein the control processor, based on signals from the at least one proximity sensor, is configured to generate, for presentation through the operator interface, situational awareness indications corresponding to portions of the hull sensed by the at least one proximity sensor and obstacles sensed by the at least one proximity sensor, and wherein the situational awareness indications comprise a terrain map overlay including positional relationships between the hull and the obstacles.

Abstract: Disclosed herein is a method that comprises acquiring one or more images of an off-board signal source using a camera onboard a rotorcraft. The off-board signal source comprises a beacon array, which comprises at least two beacons. The method also comprises processing, using an image processor, the one or more images of the beacon array to identify one or more coded signals that are propagated from the off-board signal sour. The method further comprises decoding the one or more coded signals to identify information for providing guidance to an operator of the rotorcraft.

Abstract: A Light Detecting and Ranging (LIDAR) based system detecting and quantifying ice accretions and shedding on an aircraft. This system can be used to detect ice, operate ice protection systems, and satisfy aircraft icing certification requirements. This system can also be used to determine the shape, thickness, type, and location of the ice accretions.

Abstract: A vertical landing vehicle including an airframe forming a hull and having at least one wing coupled to the airframe, at least one proximity sensor coupled to the airframe, and a flight control system including a control processor and an operator interface, the at least one proximity sensor being coupled to the control processor, the control processor being configured to receive proximity signals from the at least one proximity sensor and present, through the operator interface and based on the proximity signals, situational awareness information of obstacles within a predetermined distance of the vertical landing vehicle relative to the hull and/or the at least one wing.

Abstract: Within examples, systems and methods of generating a synthetic image representative of an environment of a vehicle are described comprising generating a first image using infrared information from an infrared (IR) camera, generating a second image using laser point cloud data from a LIDAR, generating an embedded point cloud representative of the environment based on a combination of the first image and the second image, receiving navigation information traversed by the vehicle, transforming the embedded point cloud into a geo-referenced coordinate space based on the navigation information, and combining the transformed embedded point cloud with imagery of terrain of the environment to generate the synthetic image representative of the environment of the vehicle.

Abstract: A Light Detecting and Ranging (LIDAR) based system detecting and quantifying ice accretions and shedding on an aircraft. This system can be used to detect ice, operate ice protection systems, and satisfy aircraft icing certification requirements. This system can also be used to determine the shape, thickness, type, and location of the ice accretions.

Abstract: A vertical landing vehicle including an airframe forming a hull and having at least one wing coupled to the airframe, at least one proximity sensor coupled to the airframe, and a flight control system including a control processor and an operator interface, the at least one proximity sensor being coupled to the control processor, the control processor being configured to receive proximity signals from the at least one proximity sensor and present, through the operator interface and based on the proximity signals, situational awareness information of obstacles within a predetermined distance of the vertical landing vehicle relative to the hull and/or the at least one wing.

Abstract: Within examples, systems and methods of generating a synthetic image representative of an environment of a vehicle are described comprising generating a first image using infrared information from an infrared (IR) camera, generating a second image using laser point cloud data from a LIDAR, generating an embedded point cloud representative of the environment based on a combination of the first image and the second image, receiving navigation information traversed by the vehicle, transforming the embedded point cloud into a geo-referenced coordinate space based on the navigation information, and combining the transformed embedded point cloud with imagery of terrain of the environment to generate the synthetic image representative of the environment of the vehicle.

Abstract: Methods and apparatus for detecting surface deformation of aircraft surfaces are disclosed. An example apparatus includes a sensor system to monitor an aircraft surface, the sensor system including a first sensor and a second sensor. A surface monitoring system receives signals from the first sensor and the second sensor and based on the signals received, the surface monitoring system is to: detect a surface deformation on the aircraft surface; analyze one or more environmental conditions or aircraft parameters; and classify a severity of a detected surface deformation based on the one or more environmental conditions or aircraft parameters to determine if the detected surface deformation impacts aircraft performance or safety.

Abstract: Within examples, systems and methods of generating a synthetic image representative of an environment of a vehicle are described comprising generating a first image using infrared information from an infrared (IR) camera, generating a second image using laser point cloud data from a LIDAR, generating an embedded point cloud representative of the environment based on a combination of the first image and the second image, receiving navigation information traversed by the vehicle, transforming the embedded point cloud into a geo-referenced coordinate space based on the navigation information, and combining the transformed embedded point cloud with imagery of terrain of the environment to generate the synthetic image representative of the environment of the vehicle.

Abstract: A latency measurement system includes an event generation device that generates an initial event used to measure system latency. A component test system receives the event and in response outputs a test component output signal and a zero-latency indicator. An electronics system including a multifunction display unit receives the test component output signal and displays a visible element on the multifunction display unit. A camera generates a series of recorded images, where each recorded image contains an image of the zero-latency indicator and an image of the visible element. A processor then determines the system latency by determining a time difference in the series of recorded images between a representation of an occurrence of the event in the image of the zero-latency indicator and a representation of the occurrence of the event in the image of the visible element.

Abstract: Within examples, systems and methods of generating a synthetic image representative of an environment of a vehicle are described comprising generating a first image using infrared information from an infrared (IR) camera, generating a second image using laser point cloud data from a LIDAR, generating an embedded point cloud representative of the environment based on a combination of the first image and the second image, receiving navigation information traversed by the vehicle, transforming the embedded point cloud into a geo-referenced coordinate space based on the navigation information, and combining the transformed embedded point cloud with imagery of terrain of the environment to generate the synthetic image representative of the environment of the vehicle.

Abstract: In one embodiment a communication system comprises a radiofrequency (RF) transmitter, an antenna communicatively coupled to the RF transmitter to direct an RF signal in a first direction, a laser ranger mounted to the antenna to direct a pulsed laser signal in the first direction and receive reflected laser signals from a rotorblade, and logic to determine a measure of interference resulting from a rotorblade, provide the measure of interference to a radiofrequency (RF) transmitter, and shutter an RF transmission signal from the RF transmitter in response to the measure of interference. Other embodiments may be described.

Abstract: A method and apparatus for managing communications. In one illustrative embodiment, an apparatus comprises a communications interface, an avionics interface, and a communications manager. The communications interface is configured to be connected to a group of wireless communications units. The avionics interface is configured to be connected to an avionics system. The communications manager is configured to identify the group of wireless communications units connected to the communications interface, receive input for a communications operation from a user interface in the avionics system, identify a number of wireless communications units in the group of wireless communications units for the communications operation from the input, and control operation of the number of wireless communications units to perform the communications operation.

Abstract: The present disclosure is directed to a system for, and method operating latency measurement including an event generation device that generates an initial event used to measure system latency. A component test system receives the event and in response outputs a test component output signal and a zero-latency indicator. An electronics system including a multifunction display unit receives the test component output signal and displays a visible element on the multifunction display unit. A camera generates a series of recorded images, where each recorded image contains an image of the zero-latency indicator and an image of the visible element. A processor then determines the system latency by determining a time difference in the series of recorded images between a representation of an occurrence of the event in the image of the zero-latency indicator and a representation of the occurrence of the event in the image of the visible element.

Abstract: Methods and systems for use in locating and prioritizing cargo are provided. The system includes a communications unit configured to receive location information and content information for each of a plurality of pieces of cargo from a cargo location and classification sensor (CLCS). The system also includes a cargo pickup planner module configured to determine a priority listing of pieces of cargo based on mission information, the location information, and the content information. The system also includes a cargo approach planner module configured to transmit a set of waypoints for specified pieces of cargo selected from the priority listing to a control system (FCS) configured to maneuver a vehicle to a position above a specified piece of cargo. The system further includes a cargo pickup overlay generator module configured to generate an overlay for a pilotage system (PS) display to assist a user in maneuvering the vehicle above each piece of cargo for pickup.