Abstract: A method for identifying a second mobile device in a vicinity of a first mobile device includes performing, by the first mobile device, determining distance information corresponding to a distance between the first mobile device and the second mobile device, determining angular information indicating an angle between a pointing direction of the first mobile device and the second mobile device, determining, based on the distance information and the angular information, that a location of the second mobile device lies within a first spatial region relative to the first mobile device, and providing a user interface that displays an icon corresponding to the second mobile device in a specified position on the user interface based on the location of the second mobile device being within the first spatial region.

Abstract: A holding device for electrical components of a motor vehicle, preferably an electrical motor vehicle, includes a holding element that is designed to hold one or more electrical components of the vehicle. The holding element has a holding section for holding the one or more electrical components, and a strut section, which extends from the holding section. The holding element is designed such that when the holding element is attached to the motor vehicle as intended, the strut section extends in the vehicle front direction and vehicle transverse direction to a vehicle front section and is at a predefined angle to an axis oriented in the vehicle front direction.

Abstract: A method for identifying one or more other mobile devices in a vicinity of a first mobile device includes transmitting a first set of pulses to a second mobile device, receiving a second set of pulses from the second mobile device, and determining distance and angular information corresponding to transmission times of the first set of pulses and reception times of the second set of pulses received at the mobile device. The angular information indicates an angle between a pointing direction of the first mobile device and the second mobile device. A first probability that a position of the second mobile device lies within a first spatial region having a defined distance range and aligned with the pointing direction of the first mobile device is determined based on the distance information and the angular information. An importance metric for the second mobile device is determined based on the first probability.

Abstract: A device implementing a system for estimating device location includes at least one processor configured to estimate a first position of a device based on a first set of parameters, the first set of parameters derived from first sensor data obtained on the device, the first set of parameters corresponding to device motion. The at least one processor is configured to estimate a second position of a user of the device based on a second set of parameters, the second set of parameters derived from second sensor data obtained on the device, the second set of parameters corresponding to user motion. Estimating the first and second positions is constrained by a predefined relationship between the device motion and the user motion. The at least one processor is configured to provide at least one of the first position of the device or the second position of the user.

Abstract: A device implementing a system for estimating device location includes at least one processor configured to receive an estimated position based on a positioning system comprising a Global Navigation Satellite System (GNSS) satellite, and receive a set of parameters associated with the estimated position. The processor is further configured to apply the set of parameters and the estimated position to a machine learning model, the machine learning model having been trained based at least on a position of a receiving device relative to the GNSS satellite. The processor is further configured to provide the estimated position and an output of the machine learning model to a Kalman filter, and provide an estimated device location based on an output of the Kalman filter.

Abstract: Various techniques are provided that may be implemented at one or more of a plurality of co-located mobile devices. For example, a first mobile device may identify a plurality of location determination tasks, transmit a request indicative of a subset of the plurality of location determination tasks to be performed by a second mobile device, and receive a response to the request.

Abstract: Various techniques are provided that may be implemented at one or more of a plurality of co-located mobile devices. For example, a first mobile device may identify a plurality of location determination tasks, transmit a request indicative of a subset of the plurality of location determination tasks to be performed by a second mobile device, and receive a response to the request.

Abstract: Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.

Abstract: Various techniques are provided that may be implemented at one or more of a plurality of co-located mobile devices. For example, a first mobile device may identify a plurality of location determination tasks, transmit a request indicative of a subset of the plurality of location determination tasks to be performed by a second mobile device, and receive a response to the request.

Abstract: Various techniques are provided that may be implemented at one or more of a plurality of co-located mobile devices. For example, a first mobile device may identify a plurality of location determination tasks, transmit a request indicative of a subset of the plurality of location determination tasks to be performed by a second mobile device, and receive a response to the request.

Abstract: The invention provides methods for establishing which genomic alterations are truly clonal in cancer, and for determining the confidence for calling true clonal mutations in individual tumors using multi-region sequencing data. The invention further provides methods for treating cancer that comprise confidently determining truly clonal genomic alternations in the target cancer that is to be treated.

Abstract: Techniques provided herein are directed toward enabling on-device learning to create user-specific movement models that can be used for dead reckoning. Because these moving models are user-specific, they can be later used to identify user-specific motions in a manner that provides for a dead reckoning location estimation. In some embodiments, these models can be focused on pedestrian movement, based on the repetitive motion that occurs when a user takes a stride (walking, jogging, running, etc.) or other repetitive motion (swimming, riding a horse, etc.).

Abstract: A housing for an energy store is arranged on the floor of a vehicle body. The housing has a cover, a bottom, and a peripheral frame. Fastening components are provided on a side transverse section of the frame that is at the rear in the vehicle longitudinal direction, on which fastening components the front ends of two stiffening braces extending in the shape of a V are arranged.

Abstract: Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.

Abstract: Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.

Abstract: Various techniques are provided that may be implemented at one or more of a plurality of co-located mobile devices. For example, a first mobile device may identify a plurality of signal acquisition tasks, transmit a request indicative of a subset of the plurality of signal acquisition tasks to be performed by a second mobile device, and receive a response to the request.

Abstract: Methods, systems, computer-readable media, and apparatuses for determining a flight route for a flight of an unmanned aerial vehicle (UAV) are presented. The flight-specific route for the UAV is determined dynamically during the flight or in advance before the flight, using navigation assistance data that includes flight-specific navigation assistance data for a plurality of geographic zones determined based on flight-specific information. The flight-specific navigation assistance data includes flight-specific ranking data for the plurality of geographic zones that can be used by the UAV or a server to determine the flight route.

Abstract: A method of performing functions by proxy for a set of associated proximate devices is disclosed. In some embodiments, the method may comprise associating a set of user equipments (UEs), wherein upon determination that a first UE in the set is unavailable for performing a requested function, at least one alternate second UE in the associated set of UEs is selected, wherein the at least one second UE is proximate to the first UE and the at least one second UE is available for performing the requested function. The performance of the requested function on the at least one second UE is initiated.

Abstract: Techniques provided herein are directed toward resolving a direction of travel of a mobile device based on MEMS sensor data by identifying a type of motion the mobile device is subject to and offsetting vertical acceleration data with horizontal acceleration data by a predetermined time offset based on the identified type of motion. The offset vertical and horizontal acceleration data can then be used to resolve, with an increased accuracy, a direction of travel of the mobile device.

Abstract: Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.