Abstract: Apparatus and associated methods relate to rendering an image of objects in a region of an airport taxiway. The image is rendered from data provided by multiple sources. Three-dimensional models of static airport structures located within the region of an airport taxiway are provided. Rendered image data of the region of the airport taxiway if formed based on the retrieved three-dimensional models of the static airport structures. Data indicative of locations of dynamic objects within the region of the airport taxiway is also provided. Symbols identifying the dynamic objects within the region of the airport taxiway are mapped into the rendered image data at the locations indicated by the provided data. The rendered image data is sent to a display device configured to display the rendered image data.

Abstract: Apparatus and associated methods relate to ranging object(s) nearby an aircraft using triangulation of pulses of linearly-patterned light projected upon and reflected by the object(s). A light projector projects the pulses of linearly-patterned light in a controllable direction onto the scene external to the aircraft. A reflected portion of the projected pulses is focused onto a selected row or column of light-sensitive pixels of a two-dimensional array, thereby forming a row or column of image data. The direction of projected light and the row or column of pixels selected are coordinated so that the portion of the projected pulses reflected by the scene is received by the camera and focused on the selected one of the rows or columns of light-sensitive pixels. Location(s) and/or range(s) of object(s) in the scene are calculated, based on a projector location, a camera location, and the row or column of image data.

Abstract: Apparatus and associated methods relate to projecting a linear beam onto a distant object. One or more laser diodes are configured to emit one or more elliptical beams of light in an emission direction. If more than one laser diodes are used, they are aligned so as to have coplanar emission facets and common slow-axis and fast-axis directions, which are perpendicular to one another and to the emission direction. A first cylindrical lens is configured to receive the emitted beam(s) and to collimate the emitted beam(s) in the fast-axis direction perpendicular to a slow-axis direction. A second cylindrical lens is configured to receive the emitted beam(s) and to diverge the emitted beam(s) in the slow-axis direction such that if more than one beams are emitted, they are diverged so as to overlap one another in the slow-axis direction.

Abstract: A system includes at least one light projector, at least one image sensor, and at least one controller. The at least one light projector is attachable to an aircraft at a first location. The at least one light projector is configured to emit a first beam of light in a first direction at a first intensity. The at least one image sensor is attachable to the aircraft at a second location. The at least one image sensor is configured to capture a first image of a scene including reflections of the first beam of light and a second image of the scene without the at least one projector emitting a beam of light. The at least one controller is configured to determine a maximum detection range of the first beam of light based upon the light intensity of the light beam, the first location, and the second location.

Abstract: Apparatus and associated methods relate to ranging object(s) nearby an aircraft using triangulation of pulses of spatially-patterned light projected upon and reflected by the object(s). The projected pulses provide rapidly-changing illumination of a spatially patterned portion of the scene. A camera receives a reflected portion of the projected pulse and focuses the received portion onto a plurality of light-sensitive pixels, thereby forming a pulse image. The pulse image includes pixel data indicative of a rate of change of light intensity focused thereon exceeding a predetermined threshold. Pixel coordinates, corresponding to a subset of the plurality of light-sensitive pixels that are indicative of the rate of change of light intensity exceeding a predetermined threshold, are identified. Trajectory and/or range data of object(s) in the scene are calculated, based on a projector location, a camera location, and the identified pixel coordinates.

Abstract: Apparatus and associated methods relate to determining a measure of collision risk between a taxiing aircraft and an object external to the taxiing aircraft. The measure of collision risk is determined using the dynamics of both the taxiing aircraft and the external object. The taxiing aircraft's dynamics can be determined based on collected position, heading, and ground-speed data. The external object's dynamics can be determined based on location data tracked by an object tracking system, for example. A measure of collision risk is calculated, based on the determined dynamics of both the taxiing aircraft and the external object. In some embodiments, image data of an area external to and including the taxiing aircraft is formed. The image data can be annotated with the calculated collision risks and/or indicia of regions of the taxiing aircraft and/or the external objects associated with the collision risks.

Abstract: A system includes a first smart sensor, a second smart sensor, and at least one image processor. The first smart sensor is configured to sense light in a forward direction and to capture an image during a first time period. The second sensor is configured to sense light in the forward direction and to capture a second image during the first time period. The at least one image processor is configured to identify at least one object in the first and second image, to determine a first size of the at least one object in the first image and a second size of the at least one object in the second image, and to determine a distance of the at least one object from the aircraft based upon the first size and the second size.

Abstract: A system includes a camera mounted on an aircraft, one or more processors, and computer readable memory, for determining a location of an aircraft relative to fiducial markings of airport byways. The method includes the steps of capturing, by a camera disposed on the aircraft, a time-sequence of images of a scene external to the aircraft, wherein the scene includes the byways and the fiducial markings; identifying, by image processing circuitry, pixel coordinates within each of the time sequence of captured images corresponding to the fiducial markings; and determining, by the image processing circuitry, the location of the aircraft relative to the fiducial markings based on the identified pixel coordinates.

Abstract: Apparatus and associated methods relate to ranging an object in a scene external to an aircraft. A light projector and two cameras are mounted on the aircraft, the cameras at two locations distinct from one another. The light projector and the two cameras are coordinated so that the light projector projects a linear-patterned beam of light while the cameras simultaneously capture a row or column of image data corresponding to an active row or column of pixels upon which a linear-patterned beam of light projected by the light projector and reflected by the scene is focused. Range to the object is calculated using triangulation based on the captured rows or columns of image data and the distinct locations of the two cameras from which the image data are simultaneously captured.

Abstract: Apparatus and associated methods relate to ranging an object nearby an aircraft by triangulation using two simultaneously-captured images of the object. The two images are simultaneously captured from two distinct vantage points on the aircraft. Because the two images are captured from distinct vantage points, the object can be imaged at different pixel-coordinate locations in the two images. The two images are correlated with one another so as to determine the pixel-coordinate locations corresponding to the object. Range to the object is calculated based on the determined pixel-coordinate locations and the two vantage points from which the two images are captured. Only a subset of each image is used for the correlation. The subset used for correlation includes pixel data from pixels upon which spatially-patterned light that is projected onto the object by a light projector and reflected by the object.

Abstract: Apparatus and associated methods relate to projecting a linear beam onto a distant object. One or more laser diodes are configured to emit one or more elliptical beams of light in an emission direction. If more than one laser diodes are used, they are aligned so as to have coplanar emission facets and common slow-axis and fast-axis directions, which are perpendicular to one another and to the emission direction. A first cylindrical lens is configured to receive the emitted beam(s) and to collimate the emitted beam(s) in the fast-axis direction perpendicular to a slow-axis direction. A second cylindrical lens is configured to receive the emitted beam(s) and to diverge the emitted beam(s) in the slow-axis direction such that if more than one beams are emitted, they are diverged so as to overlap one another in the slow-axis direction.

Abstract: A system can include an unmanned aerial vehicle and an altimeter disposed on the unmanned aerial vehicle. The altimeter can include an ultra-wideband radar antenna disposed orthogonally to a plane of straight and level flight of the unmanned aerial vehicle and having an omnidirectional azimuthal beam pattern orthogonal to the plane of straight and level flight of the unmanned aerial vehicle. The altimeter can be configured to determine an altitude of the unmanned aerial vehicle above a target surface based on time of flight of radar pulses between the ultra-wideband radar antenna and the target surface.

Abstract: Apparatus and associated methods relate to determining a measure of collision risk between a taxiing aircraft and an object external to the taxiing aircraft. The measure of collision risk is determined using the dynamics of both the taxiing aircraft and the external object. The taxiing aircraft's dynamics can be determined based on collected position, heading, and ground-speed data. The external object's dynamics can be determined based on location data tracked by an object tracking system, for example. A measure of collision risk is calculated, based on the determined dynamics of both the taxiing aircraft and the external object. In some embodiments, image data of an area external to and including the taxiing aircraft is formed. The image data can be annotated with the calculated collision risks and/or indicia of regions of the taxiing aircraft and/or the external objects associated with the collision risks.

Abstract: Apparatus and associated methods relate to rendering an image of objects in a region of an airport taxiway. The image is rendered from data provided by multiple sources. Three-dimensional models of static airport structures located within the region of an airport taxiway are provided. Rendered image data of the region of the airport taxiway if formed based on the retrieved three-dimensional models of the static airport structures. Data indicative of locations of dynamic objects within the region of the airport taxiway is also provided. Symbols identifying the dynamic objects within the region of the airport taxiway are mapped into the rendered image data at the locations indicated by the provided data. The rendered image data is sent to a display device configured to display the rendered image data.

Abstract: Apparatus and associated methods relate to using an image of a fiducial located indicating a parking location for the aircraft to provide docking guidance data to a pilot of an aircraft. The fiducial has vertically-separated indicia and laterally-separated indicia. A camera is configured to mount at a camera location so as to be able to capture two-dimensional images of a scene external to the aircraft. The two-dimensional image includes pixel data generated by the two-dimensional array of light-sensitive pixels. A digital processor identifies first and second sets of pixel coordinates corresponding to the two vertically-separated and the two laterally-separated indicia, respectively. The digital processor then calculates, based at least in part on the identified first pixel coordinates corresponding to the two vertically-separated indicia, a range to the parking location.

Abstract: Apparatus and associated methods relate to controlling, based on a mode selector, the field of view of an external object detector during aircraft taxi operations. For example, during high-speed taxi operations, the field of view can be controlled to have a relatively-small solid-angle of detection capability. The relatively-small solid-angle field of view can be aligned so as to detect more distant objects within a narrow corridor extending forward of the aircraft's wingtips. During low-speed taxi operations, for example, the field of view can be controlled to have a relatively-large solid-angle of detection capability. The relatively-large solid-angle field of view can be aligned so as to detect close objects in the vicinity of the aircraft wings and engine nacelle. The object detector projects structured light within the controlled field of view, thereby illuminating the object(s) external to the aircraft that are within the illumination field of view.

Abstract: Apparatus and associated methods relate to controlling, based on a mode selector, the field of view of an external object detector during aircraft taxi operations. For example, during high-speed taxi operations, the field of view can be controlled to have a relatively-small solid-angle of detection capability. The relatively-small solid-angle field of view can be aligned so as to detect more distant objects within a narrow corridor extending forward of the aircraft's wingtips. During low-speed taxi operations, for example, the field of view can be controlled to have a relatively-large solid-angle of detection capability. The relatively-large solid-angle field of view can be aligned so as to detect close objects in the vicinity of the aircraft wings and engine nacelle. The object detector projects structured light within the controlled field of view, thereby illuminating the object(s) external to the aircraft that are within the illumination field of view.

Abstract: Apparatus and associated methods relate to displaying an image of a taxiing aircraft in relation to objects in a surrounding environment. A first data set indicative of locations, relative to the taxiing aircraft, of objects external to the taxiing aircraft is collected. Then, image data of a map of an area external to and including the taxiing aircraft is formed. Symbols of the objects external to the aircraft at the locations, relative to the taxiing aircraft, indicated by the first data set are mapping into the image data. The image data is then sent to a display device for displaying the image data to a pilot of the taxiing aircraft. Displaying a map indicating the relative location of external objects with which the taxiing aircraft could potentially collide advantageously assists the pilot in taxi operation.

Abstract: A system can include an unmanned aerial vehicle and an altimeter disposed on the unmanned aerial vehicle. The altimeter can include an ultra-wideband radar antenna disposed orthogonally to a plane of straight and level flight of the unmanned aerial vehicle and having an omnidirectional azimuthal beam pattern orthogonal to the plane of straight and level flight of the unmanned aerial vehicle. The altimeter can be configured to determine an altitude of the unmanned aerial vehicle above a target surface based on time of flight of radar pulses between the ultra-wideband radar antenna and the target surface.

Abstract: Apparatus and associated methods relate to ranging object(s) nearby an aircraft using triangulation of pulses of linearly-patterned light projected upon and reflected by the object(s). A light projector projects the pulses of linearly-patterned light in a controllable direction onto the scene external to the aircraft. A reflected portion of the projected pulses is focused onto a selected row or column of light-sensitive pixels of a two-dimensional array, thereby forming a row or column of image data. The direction of projected light and the row or column of pixels selected are coordinated so that the portion of the projected pulses reflected by the scene is received by the camera and focused on the selected one of the rows or columns of light-sensitive pixels. Location(s) and/or range(s) of object(s) in the scene are calculated, based on a projector location, a camera location, and the row or column of image data.