Abstract: Methods, systems, apparatuses, and computer program products for multi-objective mission planning and execution for an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, multi-objective mission planning and execution for a UAV includes a computing device detecting a mode change event associated with a UAV executing a mission in a first mission mode. In this embodiment, the computing device determines, based on the mode change event, a second mission mode for the UAV and switches a current mission mode of the UAV from the first mission mode to the second mission mode.

Abstract: Methods, systems, apparatuses, and computer program products for automated mission planning and execution for an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, automated mission planning and execution for a UAV includes a computing device receiving from a user, mission parameters for planning a mission and identifying, based on the mission parameters, constraints on the mission. In this example embodiment, the computing device determines, based on the identified constraints, a set of pairs of UAVs and flight paths. Each pair includes a flight path and a UAV that is available and capable to perform the flight path in accordance with the mission parameters. The computing device selects from the set of pairs to assign to the mission, a pair of a particular UAV and a particular flight path.

Abstract: Methods, apparatuses, system, devices, and computer program products for updating airspace awareness for unmanned aerial vehicles are disclosed. In a particular embodiment, the classification of a detected object is identified based on sensor data collected by an in-flight unmanned aerial vehicle (UAV). The location of the object is determined based on the sensor data. An airspace awareness controller generates, in dependence upon the classification of the object and the location of the object, an airspace awareness update concerning the object.

Abstract: An image capture device obtains first image data from a front facing camera on a front face of the device including a display. The first image data represents a subject within a field of view of the image capture device. Facial recognition is performed in response to the first image data from the front facing camera. The front image data is used for determining whether any subject is a priority subject, of whom at least one priority subject image-indicative data is accessible by the image capture device. A region of interest is selected, corresponding to the subject determined to be a priority subject. Automatic focus, automatic exposure, or automatic white balance is performed using the selected region of interest. Second image data from the front facing camera are captured based on the automatic focus, automatic exposure, or automatic white balance using the selected region of interest.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media for intelligent routing of notifications related to media programming. In one aspect, a smart television (TV) can be implemented to track a user's TV watching behavior, and anticipate programming based on that behavior. In some other aspects, the smart TV can be implemented to detect a user's presence, and based on that detection, can automatically change the TV channel to media programming analyzed to be desirable to the user. In some further aspects, the smart TV can be implemented to transmit notification instructions to electronic devices within a network in an attempt to alert the user to upcoming media programming. Additionally, the smart TV can be implemented to transmit detection instructions to the electronic devices within the network, whereby the electronic devices attempt to detect a user's presence through voice or facial recognition.

Abstract: Methods of processing vehicle sensor information for object detection may include capturing generating a feature map based on captured sensor information, associating with each pixel of the feature map a prior box having a set of two or more width priors and a set of two or more height priors, determining a confidence value of each height prior and each width prior, outputting an indication of a detected object based on a highest confidence height prior and a highest confidence width prior, and performing a vehicle operation based on the output indication of a detected object. Embodiments may include determining for each pixel of the feature map one or more prior boxes having a center value, a size value, and a set of orientation priors, determining a confidence value for each orientation prior, and outputting an indication of the orientation of a detected object based on the highest confidence orientation.

Abstract: Improved photocatalytic and photovoltaic materials wherein an additional energy transfer pathway is available between an optical illumination source and a targeted adsorbate molecule. Dielectric particles are sized and shaped to produce electron excitations and subsequent user-defined chemical transformation without exceeding a band gap energy barrier of the dielectric. Thus, energy transfers that occur between the novel dielectric material and the target adsorbate happen via Mie resonance mediated energy and electron transfer (MRET), which possesses the unique trait of having the capacity to occur below the conduction band.

Abstract: An exemplary pushbutton mechanism is configured for use with a lockset including a spindle and a plunger extending into the spindle, and generally includes a first component, a second component, and a cam interface. The first component is configured for rotational coupling with the plunger and for axial coupling with the spindle, and is rotatable between a locking orientation and an unlocking orientation. The second component is configured for rotational coupling with the spindle and for axial movement relative to the first component and the spindle, and is axially movable between a depressed position and a projected position. The cam interface is configured to correlate rotation of the first component with axial displacement of the second component.

Abstract: A system and method provides for multibeam keyword detection. A composite audio signal may include sound components. The system and method groups the sound components into subsets based on the angles of arrival of sound components. Keyword detectors evaluate each subset and determine whether a keyword is present.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media for intelligent routing of notifications of incoming voice communication requests. A device, such as a smartphone, may receive an incoming voice communication request, such as a cellular voice call. The smartphone may then identify devices connected to it, such as headsets, tablets, etc., and request each device activate a microphone or camera to attempt to locate the user with respect to the connected devices. The smartphone may then select one of the connected devices, or itself, as the device best able to notify the user of the incoming call based on captured audio, images, or video. The smartphone may then request the selected device output a notification, such as a ring tone, to notify the user of the incoming call. Such a technique may avoid inundating the user with simultaneous call notifications from multiple devices.

Abstract: Systems which support an asymmetric link define rules and policies in each individual physical layer. An asymmetric link is a physical layer with a different number of transmit versus receive lanes. Asymmetric links enable physical layers to optimize performance, power, and system resources based on the required data bandwidth per direction across a link. Modern applications exhibit large demands for high memory bandwidth, i.e., more memory channels and larger bandwidth per channel. The utilization data, patterns) of link usage, and/or patterns) of lane usage may be gathered to exploit the facilities provided by asymmetric links. An engine includes AI-fueled analytics to monitor, orchestrate resources, and provide optimal routing, exploiting asymmetric links, lane polarity, and enqueue-dequeue in a computing ecosystem.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media for intelligent routing of notifications of incoming voice communication requests. A device, such as a smartphone, may receive an incoming voice communication request, such as a cellular voice call. The smartphone may then identify devices connected to it, such as headsets, tablets, etc., and request each device activate a microphone or camera to attempt to locate the user with respect to the connected devices. The smartphone may then select one of the connected devices, or itself, as the device best able to notify the user of the incoming call based on captured audio, images, or video. The smartphone may then request the selected device output a notification, such as a ring tone, to notify the user of the incoming call. Such a technique may avoid inundating the user with simultaneous call notifications from multiple devices.

Abstract: An adjustable insulating device is provided. An example device includes a housing and an extendable member at least partially located within the housing. The extendable member moves between a retracted position and an extended position. The device further includes an adjustment mechanism operably coupled with the extendable member. The adjustment mechanism causes translation of the extendable member between the retracted position and the extended position. The adjustment mechanism includes a first roller rotationally engaged with the extendable member at a first position that houses a first motor, and a second roller rotationally engaged with the extendable member at a second position that houses a second motor. An output of the first motor and an output of the second motor are configured to cause translation of the extendable member between the retracted position and the extended position, via the first roller and the second roller.

Abstract: An exemplary pushbutton mechanism is configured for use with a lockset including a spindle and a plunger extending into the spindle, and generally includes a first component, a second component, and a cam interface. The first component is configured for rotational coupling with the plunger and for axial coupling with the spindle, and is rotatable between a locking orientation and an unlocking orientation. The second component is configured for rotational coupling with the spindle and for axial movement relative to the first component and the spindle, and is axially movable between a depressed position and a projected position. The cam interface is configured to correlate rotation of the first component with axial displacement of the second component.

Abstract: A method performed by an apparatus is described. The method includes receiving map data that is based on first image data, second image data, and a similarity metric. The first image data can be received from a first vehicle and represent an object. The second image data can be received from a second vehicle and represent the object. The similarity metric can be associated with the object represented in the first image data and the object represented in the second image data. The method can also include storing, by a vehicle, the received map data and localizing the vehicle based on the stored map data.

Abstract: Systems which support an asymmetric link define rules and policies in each individual physical layer. An asymmetric link is a physical layer with a different number of transmit versus receive lanes. Asymmetric links enable physical layers to optimize performance, power, and system resources based on the required data bandwidth per direction across a link. Modern applications exhibit large demands for high memory bandwidth, i.e., more memory channels and larger bandwidth per channel. The utilization data, patterns) of link usage, and/or patterns) of lane usage may be gathered to exploit the facilities provided by asymmetric links. An engine includes AI-fueled analytics to monitor, orchestrate resources, and provide optimal routing, exploiting asymmetric links, lane polarity, and enqueue-dequeue in a computing ecosystem.

Abstract: Systems and methods execution of a magnetic resonance imaging pulse sequence including a first spin-echo echo planar imaging pulse sequence to acquire first data of a volume, a second spin-echo echo planar imaging pulse sequence comprising a first one or more diffusion gradient pulses to acquire first diffusion data of the volume, a third spin-echo echo planar imaging pulse sequence comprising a second one or more diffusion gradient pulses to acquire second diffusion data of the volume, and a fourth spin-echo echo planar imaging pulse sequence comprising a third one or more diffusion gradient pulses to acquire third diffusion data of the volume, generation of perfusion metrics based on the first data, and generation of diffusion metrics based on the first data, the first diffusion data, the second diffusion data, and the third diffusion data.

Abstract: A method performed by an apparatus is described. The method includes receiving a first set of object data corresponding to a first journey. The method also includes receiving a second set of object data corresponding to a second journey. The method further includes determining a similarity metric between the first set of object data and the second set of object data. The similarity metric indicates a distance between the first set of object data and the second set of object data for at least one object. The method additionally includes clustering the first set of object data and the second set of object data for the at least one object based on the similarity metric to produce at least one object cluster. The method also includes producing map data based on the at least one object cluster.

Abstract: Techniques and devices are described for wireless communication. A base station may determine a parameter associated with a transmission such as hybrid automatic repeat request (HARQ) feedback, a signal-to-noise ratio, or a determination regarding whether the transmission was successfully decoded. The base station may then determine a contention window adjustment value based on the parameter. The base station may then apply weighting factor (e.g., based on the time of the transmission, a number of devices being served, aspects of the transmission parameter, etc.) to the contention window adjustment value may adjust a contention window size for a second transmission based on the weighted contention window adjustment value (and, in some cases, other weighted adjustments based on other transmissions). The base station may then perform a clear channel assessment (CCA) based on the contention window size.

Abstract: Disclosed are techniques for employing deep learning to analyze radar signals. In an aspect, an on-board computer of a host vehicle receives, from a radar sensor of the vehicle, a plurality of radar frames, executes a neural network on a subset of the plurality of radar frames, and detects one or more objects in the subset of the plurality of radar frames based on execution of the neural network on the subset of the plurality of radar frames. Further, techniques for transforming polar coordinates to Cartesian coordinates in a neural network are disclosed. In an aspect, a neural network receives a plurality of radar frames in polar coordinate space, a polar-to-Cartesian transformation layer of the neural network transforms the plurality of radar frames to Cartesian coordinate space, and the neural network outputs the plurality of radar frames in the Cartesian coordinate space.