Abstract: A system for unmanned aerial vehicle alignment including: an image sensor, configured to obtain an image of unmanned aerial vehicles and provide to a processor image data corresponding to the obtained image, the processor, configured to determine from the image data image positions of the unmanned aerial vehicles, determine an average position of the unmanned aerial vehicles relative to a first axis based on the image positions, determine an average line that extends along a second axis through the average position, wherein the first and second axes are perpendicular to each other, determine a target position of one of the unmanned aerial vehicles based on a relationship between its respective image position and a target alignment, and determine an adjustment instruction to direct said one of the unmanned aerial vehicles toward the target position, and provide the adjustment instruction to said one of the unmanned aerial vehicles.

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: Methods and apparatus for cloud gaming Graphics Processing Unit (GPU) with integrated Network Interface Controller (NIC) and shared frame buffer access. The GPU include one or more frame buffers that provide shared access to an integrated encoder/decoder. The GPU further includes an integrated NIC coupled to the integrated encoder/decoder and one or more video outputs coupled to the one or more frame buffers. The GPU is configured to process outbound and inbound game image content that is encoded and decoded using a video codec or using a game tile encoder and decoder. Video frames buffered in the frame buffer(s) are encoded by the integrated encoder and forwarded directly to the NIC to be packetized and streamed using a media streaming protocol. Inbound streamed media content is depacketized by the NIC and decoded by the integrated decoder, which writes the decoded content to a frame buffer to regenerate.

Abstract: Herein is disclosed an unmanned aerial vehicle comprising a memory, configured to store a projection image; an image sensor, configured detect image data of a projection surface within a vicinity of the unmanned aerial vehicle; one or more processors, configured to determine a depth information for a plurality of points in the detected image data; generate a transformed projection image from a projection image by modifying the projection image to compensate for unevenesses in the projection surface according to the determined depth information; and send the transformed projection image to an image projector; and an image projector, configured to project the transformed projection image onto the projection surface.

Abstract: According to various aspects, a vehicle may include: an external structure; an assembly configured to allow a movement of at least a part of the assembly relative to the external structure at least from a first position to a second position, wherein the assembly protrudes from the external structure with a first distance in the first position and with a second distance less than the first distance in the second position; one or more sensors configured to receive obstacle information associated with one or more obstacles in a vicinity of the vehicle; one or more processors configured to determine a collision threat to the assembly based on the obstacle information, and trigger the movement of at least the part of the assembly from the first position into the second position in the case that the collision threat is determined.

Abstract: Methods and apparatus are disclosed for using long exposure video for virtual reality headsets. An example apparatus includes a video camera to capture first, real time video of a scene using a first field of view while operating using a first exposure time, the first exposure time corresponding to a normal exposure time of a human eye; a transformer to transform the first, real time video into a second video corresponding to a second exposure time, the second exposure time being at least twice as long as the first exposure time; and a display to display the second video at the second exposure time.

Abstract: System and techniques for vehicle-based measurement of signal object integrity are described herein. Sensor data of an environment of the vehicle is obtained. A bound for the sensor data for the sensor data is also obtained. Here, the bound corresponds to a signal object (e.g., sign, light, road marking, etc.). A classifier for the signal object is invoked on the sensor data based on the bound. If the classifier produces a result that indicates a problem with the signal object, a representation of the result is communicated.

Abstract: An embodiment of a semiconductor package apparatus may include technology to analyze an electronic image to determine indirect information including one or more of shadow information and reflection information, and provide the indirect information to a vehicle guidance system. Other embodiments are disclosed and claimed.

Abstract: Various systems and methods for multimodal trip planning are described herein, including determining candidate travel paths for a trip request, determining a score for each of the determined travel candidate paths, and determining adjusted scores for each of the candidate travel paths using an indication of physiological ability of the user.

Abstract: System and techniques for just-in-time conveyance delivery are described herein. A multi-mode route may be communicated to a first user. Here, the multi-mode route starts with a first mode and includes a leg with a second mode. A conveyance is secured for the leg of the multi-mode route with the second mode by continually identifying a route for a second user using a conveyance of the second mode and modifying the route for the second user based on an endpoint of the leg of the multi-mode route with the second mode. Use of the conveyance may be communicated to the first user for the leg of the multi-mode route with the second mode once the conveyance is secured.

Abstract: Disclosed are embodiments for determining compatibility between ride hailing passengers. Depending on a compatibility between two passengers, the two passengers are conditionally assigned to a common vehicle. The compatibility is determined by comparing a set of largest probability states of a first of the two passengers to corresponding states of the second passenger. A compatibility score is then determined based on probabilities that the second passenger shares the set of states with the first passenger.

Abstract: Disclosed herein are systems and methods for vehicle emissions control. The systems and methods may include receiving a planning request. The planning request may include an origin, a destination, and a vehicle to be used for a trip plan. The trip plan may be created and may define a route from the origin to the destination. An emissions output for the vehicle to complete the trip plan may be determined. A determination may be made that the emissions output is below a budgeted emissions output. When the emissions output is below the budgeted emissions output, the trip plan may be transmitted.

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 device includes one or more processors configured to obtain an image of a traffic sign, analyze the image to determine a traffic sign information, identify a verification information based on the traffic sign information, and verify the validity of the traffic sign information. Wherein verifying the validity of the traffic sign information includes: comparing the verification information to a further verification information, and determining whether the verification information is the same as the further verification information. Wherein the one or more processors are further configured to generate an instruction based on the determination. Wherein the one or more processors are further configured to obtain a further image of the traffic sign, and analyze the further image to determine a further traffic sign information, wherein the further traffic sign information includes the further verification information.

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: Apparatus and method for correcting image regions following upsampling or frame interpolation. For example, one embodiment of an apparatus comprises a machine-learning engine to evaluate at least a first image in a sequence of images generated by a real-time interactive application, the machine learning engine to responsively use previously learned data to generate an upsampled or interpolated image comprising a plurality of pixel patches. In one embodiment, each pixel patch is associated with a confidence value reflecting how accurately the pixel patch was generated by the machine learning engine. A selective ray tracing engine identifies a first pixel patch to be corrected based a first confidence value corresponding to the first pixel patch being lower than a threshold and performs ray tracing operations on a first portion of the first image to generate a corrected first pixel patch.

Abstract: System and techniques for drone obstacle avoidance using real-time wind estimation are described herein. A wind metric is measures at a first drone and communicated to a second drone. In response to receiving the wind metric, a flight plan of the second drone is modified based on the wind metric.

Abstract: Methods and apparatus are disclosed for using long exposure video for virtual reality headsets. A video camera can capture video of a scene. An exposure generator can generate a long exposure time for at least one long exposure time video frame corresponding to long exposure video of the scene to display. A head mounted display can display the long exposure video of the scene that includes the long exposure video frame.

Abstract: Apparatus, method and storage medium associated with a beverage dispensing apparatus are disclosed herein. In embodiments, a beverage dispensing apparatus may include a dispenser to dispense a beverage into a beverage container placed underneath the dispenser; one or more sensors to sense and collect depth data associated with the beverage container; and a controller coupled to the dispenser and the one or more sensors to control the dispenser's dispensation of the beverage, in accordance with a capacity of the beverage container inferred based at least in part on the collected depth data associated with the beverage container. Other embodiments may be disclosed or claimed.

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.