G01S19/34

Mobile device location
11693082 · 2023-07-04 · ·

Determining location of a mobile device includes determining the proximity of the mobile device to a predetermined location. Based on the proximity determination, a locational accuracy criterion is selected and the location of the mobile device is determined according to the selected locational accuracy criterion.

Mobile device location
11693082 · 2023-07-04 · ·

Determining location of a mobile device includes determining the proximity of the mobile device to a predetermined location. Based on the proximity determination, a locational accuracy criterion is selected and the location of the mobile device is determined according to the selected locational accuracy criterion.

LOCALIZATION USING SENSORS THAT ARE TRANSPORTABLE WITH A DEVICE

A device is configured for performing localization using a set of sensors that are transportable with the device. The device includes at least one processor operationally connected to the set of sensors, and at least one memory that stores program code. The program code configures the at least one processor to determine a first set of device poses where a first sensor satisfies a localization performance rule, and to determine a second set of device poses where a second sensor satisfies the localization performance rule. The at least one processor is further configured to activate the second sensor while the first sensor is active based on a pose of the device transitioning from not being within to being within the second set of device poses.

Electronic devices and positional information obtaining method
11525927 · 2022-12-13 · ·

An electronic device includes a receiver, a processor, and a communication unit. Via the communication unit from an external device, the processor receives altitude information on each of altitudes obtained at intervals of a first period, at intervals of a second period that is longer than the first period, and individually receives altitude information on an altitude obtained not at intervals of the first period. In response to receiving the altitude obtained not at intervals of the first period, the processor performs positioning at the receiving timing. Based on obtainment timings of the altitudes received at intervals of the second period and an obtainment timing of the altitude received individually, the processor correlates the altitudes received at intervals of the second period and the altitude received individually with positioning results of the positioning such that the obtainment timings correspond to positioning timings of the positioning results.

Electronic devices and positional information obtaining method
11525927 · 2022-12-13 · ·

An electronic device includes a receiver, a processor, and a communication unit. Via the communication unit from an external device, the processor receives altitude information on each of altitudes obtained at intervals of a first period, at intervals of a second period that is longer than the first period, and individually receives altitude information on an altitude obtained not at intervals of the first period. In response to receiving the altitude obtained not at intervals of the first period, the processor performs positioning at the receiving timing. Based on obtainment timings of the altitudes received at intervals of the second period and an obtainment timing of the altitude received individually, the processor correlates the altitudes received at intervals of the second period and the altitude received individually with positioning results of the positioning such that the obtainment timings correspond to positioning timings of the positioning results.

Tracking device with mode and battery life

A tracking device with a screen that displays the mode of the tracking device on a screen. The device modes may include sleep mode, monitor mode, locate mode, and emergency mode. Each mode represents a frequency of transmission and which can be changed by the software developer or by the consumer in their software application. The sleep mode will be the fewest frequency pings and may be the mode in which the tracking device is operating while it is in a geofence. Monitor mode will be a higher frequency of pings and a locate mode may be yet a further increased number of pings per given time interval. The emergency mode will be entered when, for example, the pet is outside of the geofence and the owner needs to receive an intense number of pings to assure proper location, especially if the pet is moving. A charge may be made to the customer to enable readouts showing the mode and battery life left, and that the revenues derived from the customer, and in the case where the tracking device is used for pets, may be shared with the pet store. The user will be able to know the battery life remaining in any of the modes. The software application will communicate with the tracking device to change the frequency of the pings.

Position detection system, sensor terminal, and position detection method
11506792 · 2022-11-22 · ·

A position detection method to be executed by a computer, the position detection method includes transmitting, by a sensor terminal, a signal obtained by performing capture processing on a satellite signal from a satellite of a search target according to an order of the satellites of the search targets; calculating, by a calculation device, a position of the sensor terminal based on a signal transmitted by the sensor terminal; and determining a satellite having a highest discovery probability based on a specific estimation method for second and subsequent search targets, using an index which is reflected larger as the discovery probability of other satellites is higher or lower, in a case where the first satellite is captured when a first search target is determined.

Mechanism to trigger adaptive transmission for vulnerable road users (VRU)

Systems, methods, devices, and computer program products are provided. Operations thereof include sending, by a first system and to a user equipment, an activation notification that activates a dangerous area and causes the user equipment to increase a reporting granularity corresponding to a location of the user equipment. The dangerous area corresponds to an area that includes a vehicle operating therein. The reporting granularity is increased relative to a first reporting granularity. Operations include receiving, from the user equipment, location reporting data that is provided at the increased granularity and sending, to a second system, a first notification that corresponds to determining that the Vulnerable Road User (VRU) will be in the dangerous area.

Mechanism to trigger adaptive transmission for vulnerable road users (VRU)

Systems, methods, devices, and computer program products are provided. Operations thereof include sending, by a first system and to a user equipment, an activation notification that activates a dangerous area and causes the user equipment to increase a reporting granularity corresponding to a location of the user equipment. The dangerous area corresponds to an area that includes a vehicle operating therein. The reporting granularity is increased relative to a first reporting granularity. Operations include receiving, from the user equipment, location reporting data that is provided at the increased granularity and sending, to a second system, a first notification that corresponds to determining that the Vulnerable Road User (VRU) will be in the dangerous area.

Weapon usage monitoring system with weapon performance analytics

Systems and methods are provided for weapon monitoring, including a weapon measurement system with one or more sensors that record longitudinal operational information of a plurality of weapons and are used to produce a plurality of signals, a connection point that receives the plurality of signals within a deployment location, a server device running application software that uses the plurality of signals received from the plurality of weapons to detect and store longitudinal situational state data of each weapon of the plurality of weapons, and a machine learning system that uses the longitudinal situational state data to calculate a weapon system failure state.