Abstract: Described is an imaging component for use by an unmanned aerial vehicle (“UAV”) for object detection. As described, the imaging component includes one or more cameras that are configured to obtain images of a scene using visible light that are converted into a depth map (e.g., stereo image) and one or more other cameras that are configured to form images, or thermograms, of the scene using infrared radiation (“IR”). The depth information and thermal information are combined to form a representation of the scene based on both depth and thermal information.

Abstract: A configurable unmanned aerial vehicle (UAV) may include swappable components that may be selectable to configure a customized UAV just prior to deployment of the UAV that is configured to deliver a package to a destination. The UAV may include a plurality of ports that may accept swappable components. The ports may be coupled to a logic board to enable control of the swappable components. The ports and swappable components may enable quick replacement of a malfunctioning components, such as an image sensor, which may avoid subjecting a UAV to significant downtime for service. The malfunctioning component may then be serviced after the UAV is readied for a subsequent flight or deployed on a subsequent flight.

Abstract: A mobile calibration room may be used for calibrating one or more sensors used on unmanned aerial vehicles (UAVs). A system can include folding or collapsible walls to enable the system to be moved between a stowed position and a deployed position. In the deployed position, the system can comprise a calibration room including one or more 2D or 3D targets used to calibrate one or more sensors (e.g., cameras) on a UAV. The system can include a turntable to rotate the UAV about a first axis during calibration. The system can also include a cradle to rotate the UAV around, or translate the UAV along, a second axis. The turntable can include a frame to rotate the UAV around a third axis during calibration. The mobile calibration room can be coupled to a vehicle to enable the mobile calibration room to be moved between locations.

Abstract: Described is an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), that includes a plurality of sensors, such as stereo cameras, mounted along a perimeter frame of the aerial vehicle and arranged to generate a scene that surrounds the aerial vehicle. The sensors may be mounted in or on winglets of the perimeter frame. Each of the plurality of sensors has a field of view and the plurality of optical sensors are arranged and/or oriented such that their fields of view overlap with one another throughout a continuous space that surrounds the perimeter frame. The fields of view may also include a portion of the perimeter frame or space that is adjacent to the perimeter frame.

Abstract: This disclosure describes a configuration of an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), that includes a plurality of cameras that may be selectively combined to form a stereo pair for use in obtaining stereo images that provide depth information corresponding to objects represented in those images. Depending on the distance between an object and the aerial vehicle, different cameras may be selected for the stereo pair based on the baseline between those cameras and a distance between the object and the aerial vehicle. For example, cameras with a small baseline (close together) may be selected to generate stereo images and depth information for an object that is close to the aerial vehicle. In comparison, cameras with a large baseline may be selected to generate stereo images and depth information for an object that is farther away from the aerial vehicle.

Abstract: A system for detecting transparent elements in a vehicle environment are described. In some examples, this may include accessing an image of a scene captured by an image capture device attached to a vehicle. A reflected image present in the image may be detected. The reflected image may include a portion of the vehicle. It may be determined that the scene includes a transparent element based at least in part on detecting the reflected image present in the image.

Abstract: Temperature management systems for aerial vehicles may include heat pipes that are thermally connected to components that generate heat. The heat pipes may be routed through or adjacent to a propeller or propulsion airflow, or within or across a vehicle airflow, to dissipate heat from the components. A heat pipe may be selected from a plurality of heat pipes based on measured temperatures of components that generate heat, operational characteristics of the aerial vehicle and/or one or more propellers, and/or measured temperatures of other components that may be heated. Additional temperature management systems may include cool air ducts and cool air pipes that may be routed from a propeller or propulsion airflow, or a vehicle airflow, to components that generate heat or other components that may be cooled.

Abstract: A system may include sensor modules configured to generate sensor signals representative of an environment surrounding a vehicle, and a sensor configured to be coupled to the frame of the vehicle at a location spaced from a first sensor module and configured to generate sensor signals representative of movement of the first sensor module relative to a portion of the frame. The system may also include a sensor processor configured to receive the sensor signals representative of movement of the first sensor module and estimate relative motion of the first sensor module relative to the portion of the frame of the vehicle. The sensor processor may also be configured to calculate, based at least in part on the relative motion estimation, a position, orientation, and/or velocity of the vehicle, and a position of objects in the surrounding environment and/or movement of the objects in the surrounding environment.

Abstract: Techniques for verifying a location and identification of a landing marker to aid an unmanned aerial vehicle (UAV) to deliver a payload to a location may be provided. For example, upon receiving an indication that a UAV has arrived to a delivery location, a server computer may process one or more images of an area that are provided by the UAV and/or a user interacting with a user device. A landing marker may be identified in the image and a representation of the landing marker along with instructions to guide the UAV to deliver the payload to the landing marker may be transmitted to the UAV and implemented by the UAV.

Abstract: This disclosure describes a configuration of an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), that includes a plurality of cameras that may be selectively combined to form a stereo pair for use in obtaining stereo images that provide depth information corresponding to objects represented in those images. Depending on the distance between an object and the aerial vehicle, different cameras may be selected for the stereo pair based on the baseline between those cameras and a distance between the object and the aerial vehicle. For example, cameras with a small baseline (close together) may be selected to generate stereo images and depth information for an object that is close to the aerial vehicle. In comparison, cameras with a large baseline may be selected to generate stereo images and depth information for an object that is farther away from the aerial vehicle.

Abstract: Described is an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), that includes a plurality of sensors, such as stereo cameras, mounted along a perimeter frame of the aerial vehicle and arranged to generate a scene that surrounds the aerial vehicle. The sensors may be mounted in or on winglets of the perimeter frame. Each of the plurality of sensors has a field of view and the plurality of optical sensors are arranged and/or oriented such that their fields of view overlap with one another throughout a continuous space that surrounds the perimeter frame. The fields of view may also include a portion of the perimeter frame or space that is adjacent to the perimeter frame.

Abstract: Camera calibration may be performed in a mobile environment. One or more cameras can be mounted on a mobile vehicle, such as an unmanned aerial vehicle (UAV) or an automobile. Because of the mobility of the vehicle the one or more cameras may be subjected to inaccuracy in imagery caused by various factors, such as environmental factors (e.g., airflow, wind, etc.), impact by other objects (e.g., debris, vehicles, etc.), vehicle vibrations, and the like. To reduce the inaccuracy in imagery, the mobile vehicle can include a mobile camera calibration system configured to calibrate the one or more cameras while the mobile vehicle is traveling along a path. The mobile camera calibration system can cause the one or more cameras to capture an image of an imaging target while moving, and calibrate the one or more cameras based on a comparison between the image and imaging target data.

Abstract: Described are systems, methods, and apparatus for detecting objects within a distance of an aerial vehicle, and developing a three-dimensional model or representation of those objects. Rather than attempting to use stereo imagery to determine distances and/or depth of objects, the described implementations utilize range-gating, or time-gating, and the known position of the aerial vehicle to develop a three-dimensional representation of objects. For example, when the aerial vehicle is at a first position it may use range-gating to detect an object at a defined distance from the vehicle. The aerial vehicle may then alter its position and use range-gating to detect an object that is the defined distance from the vehicle at the new position. This may be done at several different positions and the resulting information and aerial vehicle position information combined to form a three-dimensional representation of those objects.

Abstract: An unmanned aerial vehicle (UAV) landing marker transmits a reply signal in response to receiving radar signals emitted by a UAV. The landing marker can include a passive transponder that emits the reply signal, with the reply signal being a harmonic of the fundamental frequency of the radar signal emitted by the UAV. The landing marker can also include a transmitter to transmit the reply signal. Additionally, the landing marker can include sensors to monitor the environment about the landing marker and this environmental information can be transmitted to the UAV as part of the reply signal.

Abstract: Described is an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), that includes a plurality of sensors, such as stereo cameras, mounted along a perimeter frame of the aerial vehicle and arranged to generate a scene that surrounds the aerial vehicle. The sensors may be mounted in or on winglets of the perimeter frame. Each of the plurality of sensors has a field of view and the plurality of optical sensors are arranged and/or oriented such that their fields of view overlap with one another throughout a continuous space that surrounds the perimeter frame. The fields of view may also include a portion of the perimeter frame or space that is adjacent to the perimeter frame.

Abstract: Described is an, such as an unmanned aerial vehicle (“UAV”), that includes stereo pairs of imaging element, each imaging element including a region of interest controller. The region of interest controller for an imaging element of the stereo pair receives movement information affecting the imaging element and selects a portion of pixels of a digital image formed by the imaging element. The portion of pixels are provided to an image processor that utilizes the portion of pixels to determine depth information for objects represented by the pixels.

Abstract: A propeller provided on an aerial vehicle may include a digital camera or other imaging device embedded into a surface of one of the blades of the propeller. The digital camera may capture images while the propeller is rotating at an operational speed. Images captured by the digital camera may be processed to recognize one or more objects therein, and to determine ranges to such objects by stereo triangulation techniques. Using such ranges, a depth map or other model of the surface features in an environment in which the aerial vehicle is operating may be defined and stored or used for any purpose. A propeller may include digital cameras or other imaging devices embedded into two or more blades, and may also use such images to determine ranges to objects by stereo triangulation techniques.

Abstract: An aerial vehicle is configured to process an image captured by an imaging device, and to identify a portion of the image that is likely to appear in images subsequently captured by the imaging device based on the motion of the aerial vehicle. A control unit aboard the aerial vehicle generates instructions for controlling such motion and provides the instructions to the imaging device. Based on such instructions, the imaging device processes the image to identify a portion of the image that will appear within a field of view of the imaging device following the motion, and selects a shutter speed, an aperture, a level of gain, or another attribute of the imaging device based on the portion of the image, in order to optimize the quality of an image subsequently captured by the imaging device.

Abstract: Systems and methods for detecting contamination on a sensor cover. In an example, an image sensor of a vehicle may be used to capture an image of an environment of the vehicle. A sensor cover may be positioned outwardly from the image sensor and may form a covered volume around at least a sensing surface of the image sensor. A light source may be positioned in the covered volume. A management module may be coupled with the image sensor. The management module may be configured to receive test image data of the environment generated by the image sensor while the light source is on, compare the test image data to baseline image data generated while the light source is off, and detect whether contamination exists on a surface of the sensor cover based on the comparison.

Abstract: This disclosure describes a configuration of an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), that includes a plurality of cameras that may be selectively combined to form a stereo pair for use in obtaining stereo images that provide depth information corresponding to objects represented in those images. Depending on the distance between an object and the aerial vehicle, different cameras may be selected for the stereo pair based on the baseline between those cameras and a distance between the object and the aerial vehicle. For example, cameras with a small baseline (close together) may be selected to generate stereo images and depth information for an object that is close to the aerial vehicle. In comparison, cameras with a large baseline may be selected to generate stereo images and depth information for an object that is farther away from the aerial vehicle.