An apparatus and a method for determining a geographical position of a vehicle. The apparatus includes a satellite navigation receiver designed to receive satellite signals, a sensor designed to capture a motion parameter of the vehicle, and a processor designed to generate a V2X communication message, wherein the V2X communication message indicates the motion parameter of the vehicle, and to determine the geographical position of the vehicle by the satellite signals in response to an initiating of the generation of the V2X communication message.

A method and system for combining data obtained by sensors, having particular application in the field of navigation systems, are disclosed. The techniques provide significant improvement over state-of-the-art Markovian methods that use statistical noise filters such as Kalman filters to filter data by comparing instantaneous data with the corresponding instantaneous estimates from a model. In contrast, the techniques disclosed herein use multiple time periods of various lengths to process multiple sensor data streams, in order to combine sensor measurements with motion models at a given time epoch with greater confidence and accuracy than is possible with traditional “single epoch” methods. The techniques provide particular benefit when the first and/or second sensors are low-cost sensors (for example as seen in smart phones) which are typically of low quality and have large inherent biases.

Methods and apparatus for processing and using signals transmitted by a device, e.g., a low cost beacon transmitter device, to facilitate making location determinations with regard to the transmitting device and/or making a decision of when or how to use location information generated based on received signals are described. In accordance with some features the processing performed on the received signal strength measurements is based on whether or not the device from which the signals are received is in motion. The size of a sample period used as a processing window when determining device location is based, in some embodiments, on the rate of motion. When and/or how to use location determinations are performed is also based on motion in some embodiments. Machine learning updates of location determination parameters, based on received signals, are disabled when the signals are from devices determined to be in motion.

A tracking device is described. The tracking device receives, from a management server, pressure measurement thresholds. The tracking device monitors pressure measurements of the asset. Based on the pressure measurements, the tracking device enters an active mode of operation. When operating in the active mode of operation, the tracking device transmits sensor measurements of the asset to the management server. The tracking device determines new pressure measurements of the asset. Based on the new pressure measurements, the tracking device enters a passive mode of operation. When operating in the passive mode of operation, no data is transmitted or received from/to the tracking device to/from the management server.

A wireless communication system includes a control station and a plurality of second wireless communication apparatuses. The control station includes a management table that holds sending permission information indicating whether or not to transmit a packet for requesting to send an orientation estimation auxiliary signal. The plurality of second wireless communication apparatuses each refer to the management table, transmit the packet to a first wireless communication apparatus in response to the sending permission information, and perform orientation estimation using the orientation estimation auxiliary signal transmitted from the first wireless communication apparatus.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane. The location polygons define geofenced regions, and each definition for a geofenced region can include one or more rules that are used to evaluate location information reported by a user's equipment. The rules dictate whether an action it taken or inhibited, such as charging a toll or not charging a toll, based on other location information reported by the user's equipment.

A system for providing real-time always-on location is presented for maintaining the current location of a mobile device, while saving the battery by managing the GPS in a power-saving mode while the device is considered to be stationary. The system also provides a real-time location in an indoor environment where a GPS signal may not be available. Additionally, methods for driving detection are also presented.

Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. The method also includes performing front-back detection, performing stationary node detection, performing angle of arrival (AoA) error correction, and performing field of view (FOV) filtering. Performing indoor localization and tracking of the plurality of other wireless electronic devices includes providing an indication of a physical location of the plurality of other wireless electronic devices within the indoor environment.

Estimating initial heading at start-up of navigation. At least some of the example embodiments are computer-implemented methods including: spawning a plurality of clone processes, each clone process given an identical location and speed, and each clone process given a unique direction; calculating, by each clone process, a respective position at the end of a frame period; terminating clone processes whose position at the end of the frame period is outside a predetermined threshold, the terminating results in remaining clone processes; and determining the heading of the mobile device from the remaining clone processes.

Systems, methods, devices, computer readable media, and other various embodiments are described for location management processes in wearable electronic devices. One embodiment involves pairing a client device with a wearable device, capturing a first client location fix at a first time using the first application and location circuitry of the client device. The client device then receives content from the wearable device, where the content is associated with a content capture time and location state data. The client device then updates a location based on the available data to reconcile the different sets of location data. In some embodiments, additional sensor data, such as data from an accelerometer, is used is used to determine which location data is more accurate for certain content.