Provided are means for identifying stop periods of a device in a location. A method for identifying the stop periods may be performed by a mobile device and involve during a first step, determining a predicted position of the mobile device, according to a new filtered position obtained using a discrete-time Kalman Filter. The method may also involve during a second step, determining a normalized prediction error according to the difference between the new predicted position and the first position. If the normalized prediction error is smaller than a prediction error threshold, generating a stop message to indicate that the stop period is starting. The method may further involve during a third step, triggering an action on the mobile device, according to the stop message.

The invention relates to navigation, particularly, to detection of indoor and outdoor positions of mobile devices. Technical result of the invention is to improve the accuracy of mobile terminal position detection at time of occurrence of a specific trigger event and decrease of load on sensor, computing, communication and other resources of the mobile terminal at times when a trigger event occurs. Mobile terminal positioning technique at the trigger event moment, is characterized by the following sequence: receipt of series of readings of inertial and non-inertial sensors, identification of intervals, during which readings of at least one sensor generates a stationary process; then detection of at least one point of time, when at least one stationary process is replaced by another stationary process; then identification of parameters of at least one pattern of movement for at least one stationarity interval; then detection of at least one position of the mobile terminal according to readings of non-inertial sensors; estimation of mobile terminal path according to parameters of at least one pattern of movement and then of position corresponding to change of one stationary process to another; then detection of mobile terminal position at time corresponding to a specific trigger event.

Disclosed is a method for optimizing a polling of location information of a terminal device, the method, performed by a network node, including: receiving, from the terminal device, data indicative of a movement of the terminal device, the data is received in a payload traffic on a user plane; detecting that the movement of the terminal device is within a reference range, a detection is based on data received from the terminal device; generating a first control signal for re-defining a first polling frequency to occur at a second polling frequency, the second polling frequency being less than the first polling frequency.

A distance data between the portable device and the vehicle-side transmission and reception device is acquired. A movement speed of the portable device is calculated based on a change between a current distance data and a previous distance data. A position estimation distance for estimating the position of the portable device with respect to the vehicle is updated when the movement speed is less than a first speed. The position estimation distance is not updated when the movement speed is equal to or larger than the first speed. The position of the portable device is estimated according to the position estimation distance.

A method includes obtaining signal information based on wireless signals communicated between an electronic device and a target device. The method also includes obtaining motion information based on movement of the electronic device. The method further includes identifying first location information based on the motion information and the channel information. Additionally, the method includes identifying second location information based on the orientation of the electronic device and the AoA information. The method also includes determining whether the electronic device is in motion. The method further includes determining whether the target device is within the FoV or outside the FoV of the electronic device based in part on the first location information in response to determining that the electronic device is not in motion or the second location information in response to determining that the electronic device is in motion.

This disclosure is directed to enhancing the navigation solution of a portable device using map information. Sensor data for the portable device may be used to derive a navigation solution. Position information for the device may be estimated using the navigation solution. Map information for an area encompassing a current location of the user may also be obtained. Multiple hypotheses regarding possible positions of the portable device may be generated using the estimated position information and the map information. By managing and processing the hypotheses, updated estimated position information may be provided. The updated estimated position information may be provided as output or feedback to enhance the navigation solution.

A method for correcting a positioning location is provided. The method includes: receiving current positioning information; comparing a current Mobile Country Code (MCC) comprised in the current positioning information with a previous MCC comprised in previous positioning information; determining whether a moving speed of a mobile device is greater than a speed threshold according the current positioning information and the previous positioning information when the current MCC is the same as the previous MCC; determining whether the mobile device has moved after determining that the moving speed is not greater than the speed threshold; and identifying a final positioning location according to a determination result indicating whether the mobile device has moved.

The disclosure includes implementations for determining a position of a vehicle using millimeter wave narrow beamforming. A method may include receiving a set of training packets that each uniquely identify a position on a portion of a roadway where the vehicle is located. Each of the training packets included in the set may be associated with only one of the millimeter wave narrow beams. The method may include identifying a training packet included in the set of training packets that has a highest receive power level among the set of training packets. The method may include determining the position uniquely identified by the training packet having the highest receive power level. The method may include determining positional information for the vehicle based on the position uniquely identified by the training packet having the highest receive power level. The positional information may describe a location of the vehicle on the roadway.

A system includes an acquisition section that acquires information from a sensor section attached to each player who is practicing an action in a target area, a processing section that generates area situation information on smoothness of movement of the players in the area based on the information from the sensor sections, and a display apparatus that notifies the area situation information.

A vehicle trajectory calculation method is provided. In the vehicle trajectory calculation method, a travel trajectory of a vehicle in a travel route is calculated based on a GPS signal received at predetermined time intervals with a GPS receiver of the vehicle during traveling. When there is an unmeasurable section where the travel trajectory cannot be normally calculated based on the GPS signal, the travel trajectory in the unmeasurable section is calculating by performing an interpolation based on the calculated travel trajectories in sections anterior to and posterior to the unmeasurable section.