Methods, systems, and devices for asset travel monitoring are provided. An example method for asset travel monitoring involves monitoring a motion sensor of an asset tracking device located at an asset to determine whether the asset has entered into a travelling state, upon determination that the asset has entered into the travelling state, monitoring the motion sensor to determine whether the asset has left the travelling state, and, upon determination that the asset has left the travelling state, obtaining a present location of the asset tracking device and transmitting the present location to a remote server.

Methods, systems, and devices for temperature-dependent charging of supercapacitor energy storage units of asset tracking devices are provided. An example method for temperature-dependent charging involves obtaining a temperature reading measured at an asset tracking device, the asset tracking device located at an asset to monitor travel of the asset, determining a target voltage for a supercapacitor energy storage unit of the asset tracking device based on the temperature reading to balance utilization of a capacity of the supercapacitor energy storage unit against temperature-dependent deterioration of the supercapacitor energy storage unit, and controlling a charging interface of the asset tracking device to charge the supercapacitor energy storage unit to the target voltage.

An information processing apparatus according to an embodiment of the present technology includes a first acquisition section, a second acquisition section, and a determination section. The first acquisition section acquires a camera-based position indicating a position of a real object, the camera-based position being determined on the basis of a captured image of a real space in which there exists the real object. The second acquisition section acquires an output-wave-based estimation position indicating the position of the real object, the output-wave-based estimation position being determined on the basis of an output wave that is output to the real space from a position that corresponds to the real object. The determination section determines a reference position used to represent virtual content related to the real object, on the basis of the camera-based position and the output-wave-based estimation position.

Disclosed are techniques for wireless communication. In an aspect, a UE obtains measurement data associated with at least one PRS. The UE transmits, to a BS in a first L1 or L2 PSI report opportunity, a first PSI report indicative of a first set of measurement values associated with the at least one PRS based on the measurement data. The UE further transmits, to the BS in a second L1 or L2 PSI report opportunity that is subsequent to the first L1 or L2 PSI report opportunity, a second PSI report that is indicative of a second set of measurement values associated with the at least one PRS based on the measurement data, the second set of measurement values being refined from the first set of measurement values.

The method for calculating the activity of a user, said method being implemented by a personal activity monitor intended to be securely associated with the body of the user, and by a smartphone equipped with a geolocation function, exchanging data over a wireless connection, the method comprising the steps of: -a- the activity monitor detects and counts the steps of the user, -b- the smartphone determines a first geolocation at a first time, -c- the smartphone determines a second geolocation at a second time, -d- one of the two devices calculates a distance traveled between the two geolocations, -e- one of the two devices calculates, based on the distance traveled and the number of steps taken between the two geolocations, the average stride and/or average step of the user.

A first communication node and method therein for activation of a positioning procedure for a target device in a wireless communication network are disclosed. The first communication node determines whether the target device has moved and activates a positioning procedure for the target device when the movement is larger than a threshold.

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 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.

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.

Disclosed is method of computing a round trip delay between a pair of nodes, the method comprising transmitting at least one beacon at a known transmit time from each of the nodes; measuring the times-of-arrival of the beacons at other of the nodes; and estimating a round trip delay between the nodes from the measured times-of-arrival and the transmit times; and correcting the round trip delay for either or both of a frequency offset between the nodes and relative motion between the nodes.