Abstract: According to various aspects, an unmanned aerial vehicle controlling device may include: a receiver configured to receive a spherical image of a vicinity from an unmanned aerial vehicle; a display configured to display a first person view of the spherical image; a plurality of motion sensors configured to sense a movement within a tracked space; one or more processors configured to map the sensed movement within the tracked space to a mapped movement within the vicinity of the unmanned aerial vehicle and generate a control signal based on the mapped movement; and a transmitter configured to transmit the control signal to the unmanned aerial vehicle.

Abstract: Embodiments described herein provide for blind spot rendering optimizations for eye tracking head mounted displays. One embodiment provides an apparatus comprising first logic to receive eye-tracking data from an eye tracking system, second logic to determine a blind spot region for a scene based on the eye tracking data, and third logic to provide identifying data for the blind spot region to a renderer. The renderer is configured to render pixels of the scene that fall within the blind spot region at a lower rendering quality relative to the remainder of the scene.

Abstract: Systems and methods may provide a plurality of distortion meshes that compensate for radial and chromatic aberrations created by optical lenses. The plurality of distortion meshes may include different lens specific parameters that allow the distortion meshes to compensate for chromatic aberrations created within received images. The plurality of distortion meshes may correspond to a red color channel, green color channel, or blue color channel to compensate for the chromatic aberrations. The distortion meshes may also include shaped distortions and grids to compensate for radial distortions, such as pin cushion distortions. In one example, the system uses a barrel-shaped distortion and a triangulation grid to compensate for the distortions created when the received image is displayed on a lens.

Abstract: Herein is disclosed an unmanned aerial vehicle segment-imagery system comprising at least a first unmanned aerial vehicle and a second unmanned aerial vehicle, the first unmanned aerial vehicle further comprising one or more processors, configured to control an aerial movement of the first unmanned aerial vehicle; one or more lasers, configured to emit a laser light; and a laser targeting system, configured to cause the laser to strike a second unmanned aerial vehicle.

Abstract: According to various aspects, a vehicle may include: one or more receivers, wherein the one or more receivers receive an animal tracking signal comprising animal attribute data from an animal tracking device configured to store animal attribute data; one or more processers, where in the processors are configured to process the animal attribute data to determine if an animal will be in the path of the vehicle and control the vehicle based on the determination that the animal will be in the path of the vehicle, and to further control the vehicle based on the animal attribute data and/or an animal behavior based on the animal attribute data.

Abstract: A luminous intensity compensator, comprising a light source; a sensor, configured to receive sensor information representing a position of the light source, and to output sensor data representing the position of the light source; one or more processors, configured to determine from the sensor data a distance between the light source and a reference point; determine a loss factor of a wavelength based on the determined distance between the light source and the reference point; determine a compensated luminous intensity to yield a target luminous intensity of the wavelength after luminous intensity reduction due to the loss factor; and output control data to control the light source to emit the wavelength at the compensated luminous intensity.

Abstract: The invention is directed to a method and a device for controlling images in a head mounted display equipped with an eye tracker and worn by a user, comprising the following steps: detecting, with the eye-tracker, an eye gaze of at least one of the eyes of the user; controlling the images depending on the detected eye gaze; wherein the step of controlling the images comprises not rendering or not updating pixels (22) of the images that are not visible by the user at the detected eye gaze.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a change in virtual camera orientation that will increase a virtual walkable space associated with a rendered environment in a head mounted display (HMD) system. Additionally, a saccadic movement state may be detected with respect to a wearer of the HMD system, wherein the change in virtual camera orientation is conducted when the saccadic movement state is present. In one example, the change in virtual camera orientation may be bypassed when the saccadic movement state is not present.

Abstract: According to various aspects, an obstacle map generator is provided, including: one or more processors configured to receive one or more depth images from a depth imaging system, determine, for each depth image of the one or more received depth images, a first set of pixels and a second set of pixels, each pixel of the first set of pixels has a depth value assigned thereto and each pixel of the second set of pixels has no depth value assigned thereto or has a depth value outside a predefined depth value range assigned thereto, assign a pre-defined depth value to one or more pixels of the second set of pixels, and generate an obstacle map based on the determined first set of pixels and the one or more pixels of the second set of pixels having the pre-defined depth value assigned thereto.

Abstract: Herein is disclosed an unmanned aerial vehicle segment-imagery system comprising at least a first unmanned aerial vehicle and a second unmanned aerial vehicle, the first unmanned aerial vehicle further comprising one or more processors, configured to control an aerial movement of the first unmanned aerial vehicle; one or more lasers, configured to emit a laser light; and a laser targeting system, configured to cause the laser to strike a second unmanned aerial vehicle.

Abstract: Herein is disclosed a vehicle comprising a plurality of image sensors, configured to detect image data of a vicinity of the vehicle from a plurality of views; a receiver, configured to receive the detected image data and deliver the detected image data to one or more processors, and the one or more processors, configured to generate from the detected image data a virtual three-dimensional reconstruction of the vicinity of the vehicle; and output the three-dimensional image in real-time.

Abstract: According to various aspects, a collision avoidance method may include: receiving depth information of one or more depth imaging sensors of an unmanned aerial vehicle; determining from the depth information a first obstacle located within a first distance range and movement information associated with the first obstacle; determining from the depth information a second obstacle located within a second distance range and movement information associated with the second obstacle, the second distance range is distinct from the first distance range, determining a virtual force vector based on the determined movement information, and controlling flight of the unmanned aerial vehicle based on the virtual force vector to avoid a collision of the unmanned aerial vehicle with the first obstacle and the second obstacle.

Abstract: Herein is disclosed an unmanned aerial vehicle light flash comprising a support structure; a camera coupled to the support structure and configured to take a photograph; one or more processors coupled to the support structure and configured to control a predetermined flight plan of the unmanned aerial vehicle, control the camera, generate or process a synchronization signal to synchronize a light flash to be generated by a further unmanned aerial vehicle with a taking of the photograph by the camera; a transceiver coupled to the support structure and configured to transmit or receive the synchronization signal to or from the further unmanned aerial vehicle.

Abstract: Herein is disclosed an infrastructure state prediction device comprising a memory device onto which an infrastructure state model corresponding to a location and a state timing of a plurality of infrastructure elements is stored; one or more processors, communicatively coupled to the memory device and configured to receive measurement information representing a location and an observed state of a first infrastructure element; determine a predicted state of a second infrastructure element based on a state timing corresponding to a second infrastructure element; determine a movement information based on the observed state of the first infrastructure element, the predicted state of the second infrastructure element and a relation between the location of the first infrastructure element and a location of the second infrastructure element; and generate a message comprising the movement information.

Abstract: An unmanned aerial vehicle comprising one or more sensors, configured to receive data from an area surrounding the unmanned aerial vehicle; one or more processors, configured to detect movement in a region surrounding the unmanned aerial vehicle using the sensor data; assess the detected movement for fulfillment of a predetermined movement threshold; and upon fulfillment of the predetermined movement threshold, switch between a first operational mode and a second operational mode.

Abstract: Herein is disclosed an unmanned aerial vehicle alignment system comprising one or more image sensors, configured to obtain an image of a plurality of unmanned aerial vehicles and provide to one or more processors image data corresponding to the obtained image; one or more processors, configured to detect from the image data image positions of the plurality of unmanned aerial vehicles; derive a target position based on a relationship between an image position and a target alignment; and determine an adjustment instruction to direct an unmanned aerial vehicle toward the target position.

Abstract: Herein is disclosed an unmanned aerial vehicle navigation system including one or more cameras configured to detect user image data; and one or more processors configured to determine from the user image data a user eye orientation; select according to a selection criterion a navigation behavior based on the user eye orientation; and determine a navigation instruction to cause the unmanned aerial vehicle to travel in accordance with the navigation behavior.

Abstract: According to various aspects, an unmanned aerial vehicle may be described, the unmanned aerial vehicle including: one or more sensors configured to gather thermal information associated with a vicinity of the unmanned aerial vehicle; one or more processors configured to determine at least one control information based on the thermal information and to control the unmanned aerial vehicle based on the at least one control information.

Abstract: Systems, apparatuses, and methods may provide for technology to dynamically control a display in response to ocular characteristic measurements of at least one eye of a user.

Abstract: A mechanism is described for facilitating smart multiplexed image compression in computing environments. An apparatus of embodiments, as described herein, includes reception and observation logic to receive timestamped data relating to an image associated with an application running at a computing device, and decision and selection logic to determine a hard transition associated with the image, and select the image for multiplexed compression. The apparatus may further include multiplexed compression logic to perform multiplexed compression of the image, if the hard transition is associated with the image, and rendering and transferring logic to communicate the compressed image back to the computing device.