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: 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: 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: 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: 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: 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.

Abstract: Herein is disclosed an image-based detection system comprising, one or more image sensors, configured to receive images of a vicinity of a control; and one or more processors, configured to identify within the images a control actuator and the control; detect a trigger action of the control actuator relative to the control based on the images; and switch from a normal control mode to a safety mode according to the detected trigger action.

Abstract: Herein is disclosed an unmanned aerial vehicle photography 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 image sensors, configured to obtain a subject image of a subject; and one or more processors, configured to cause the one or more image sensors to obtain the subject image synchronously with the second unmanned aerial vehicle.

Abstract: Components, devices, systems, and methods for providing passive haptic feedback for a user interacting with a virtual reality simulation. A physical object with a surface may represents an object in the virtual reality simulation. A mechanism may be configured to change a shape or size of the surface of the physical object in response to a change in the virtual reality simulation.

Abstract: One embodiment of a virtual reality apparatus comprises: a graphics processing engine comprising a plurality of graphics processing stages, the graphics processing engine to render a plurality of image frames for left and right displays of a head mounted display (HMD); and foveation control hardware logic to independently control two or more of the plurality of graphics processing stages based on feedback received from an eye tracking module of the HMD, the feedback indicating a foveated region selected based on a current or anticipated direction of a user's gaze, the foveation control hardware logic to cause the two or more of the graphics processing stages to process the foveated region differently than other regions of the image frames.

Abstract: In one example, notice of a priority vehicle is obtained. A first protective field is generated around a current vehicle and a second protective field is generated around the priority vehicle. A priority lane is created by moving the first protective field of the current vehicle away from the second protective field of the priority vehicle.

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: In stereoscopic cameras with wide fields of view, portions of the camera's lenses can be captured in stereoscopic content captured by the camera. These lens artifacts can be distracting to a viewer of the captured stereoscopic content. Revised stereoscopic content can be generated in which the lens artifacts in the left and right images of the stereoscopic content are replaced with image content that blends in with the remainder of the images. With the lens artifacts removed, revised stereoscopic content provides for a more immersive viewing experience to a viewer. A lens artifact in one image of a stereoscopic image can be replaced by image data generated by an inpainting model, interpolated from a portion of the image region around the lens artifact, or based on the corresponding region of the other image in the stereoscopic image. Lens masks can define the portion of an image to be replaced.

Abstract: Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.

Abstract: Methods, apparatus, systems, and articles of manufacture for facilitating task execution using a drone are disclosed. An example method includes accessing a result of a task performed by a task executor. The result includes one or more images of a task objective captured by the task executor. The result is validated based on a task definition provided by a task issuer. In response to the validation of the result indicating that the result complies with the task definition, the result is provided to the task issuer, and a reward is issued to the task executor.