Disclosed is an approach to enable optimized GNSS augmentation via learning at a mobile device. In particular, the mobile device could identify device-specific GNSS rescue area(s), the device-specific GNSS rescue area(s) corresponding to geographic area(s) visited by the mobile device in which (i) at least one GNSS-based position estimate is or was unavailable and (ii) the mobile device had demand for positioning data of at least a particular quality level. The mobile device could then receive, from positioning server(s), an offline radio map representing radio data only for the device-specific GNSS rescue area(s), and could store the offline radio map in a local data storage device. In turn, the mobile device could perform position estimation(s) using the offline radio map representing radio data only for the device-specific GNSS rescue area(s).

Disclosed is an approach to enable optimized GNSS augmentation via learning at a mobile device. In particular, the mobile device could identify device-specific GNSS rescue area(s), the device-specific GNSS rescue area(s) corresponding to geographic area(s) visited by the mobile device in which (i) at least one GNSS-based position estimate is or was unavailable and (ii) the mobile device had demand for positioning data of at least a particular quality level. The mobile device could then receive, from positioning server(s), an offline radio map representing radio data only for the device-specific GNSS rescue area(s), and could store the offline radio map in a local data storage device. In turn, the mobile device could perform position estimation(s) using the offline radio map representing radio data only for the device-specific GNSS rescue area(s).

An improved wearable locator has an ultra-low power RF transceiver, GPS receiver, cellular network RF transceiver, processor, programmable non-volatile memory, LCD display, accelerometer and rechargeable battery. To ensure that the locator is within a perimeter, it can cooperate with a subordinate unit that includes an ultra-low power RF transceiver, processor, power supply, DC charging output, rechargeable battery, visual, audible and tactile enunciators and pushbutton, and can be plugged into an outlet or be unplugged and be mobile. Other wireless units can be used to define a perimeter.

An improved wearable locator has an ultra-low power RF transceiver, GPS receiver, cellular network RF transceiver, processor, programmable non-volatile memory, LCD display, accelerometer and rechargeable battery. To ensure that the locator is within a perimeter, it can cooperate with a subordinate unit that includes an ultra-low power RF transceiver, processor, power supply, DC charging output, rechargeable battery, visual, audible and tactile enunciators and pushbutton, and can be plugged into an outlet or be unplugged and be mobile. Other wireless units can be used to define a perimeter.

A locator system and method of use is disclosed. The locator system may be used to receive radiolocation signals, calculate location data based on the radiolocation signals, and send the current location data over a telecommunication network to a server computer. A client may request the location data from the server computer and the server may send the location data to the client.

A locator system and method of use is disclosed. The locator system may be used to receive radiolocation signals, calculate location data based on the radiolocation signals, and send the current location data over a telecommunication network to a server computer. A client may request the location data from the server computer and the server may send the location data to the client.

Real-time gunshot detection and reporting. A computing device detects, in an audio signal received by an audio receiver that includes a plurality of audio receiving elements, at least one gunshot. The computing device determines, based on the plurality of audio receiving elements, an audio location of the at least one gunshot. The computing device sends control signals to at least two cameras to cause the at least two cameras to capture at least two corresponding images of the audio location. The computing device, based on the at least two corresponding images, identifies a gunshot location and transmits a gunshot location identifier that identifies the gunshot location to a destination.

Real-time gunshot detection and reporting. A computing device detects, in an audio signal received by an audio receiver that includes a plurality of audio receiving elements, at least one gunshot. The computing device determines, based on the plurality of audio receiving elements, an audio location of the at least one gunshot. The computing device sends control signals to at least two cameras to cause the at least two cameras to capture at least two corresponding images of the audio location. The computing device, based on the at least two corresponding images, identifies a gunshot location and transmits a gunshot location identifier that identifies the gunshot location to a destination.

In accordance with the disclosed approach, positioning server(s) could receive, from mobile devices, information indicating a plurality of GNSS rescue areas, each respective GNSS rescue area of the plurality of GNSS rescue areas corresponding to a respective geographic area visited by a respective one of the mobile devices in which (i) at least one GNSS-based position estimate is or was unavailable and (ii) the respective mobile device had demand for positioning data of at least a particular quality level. Given this, the server(s) could generate a GNSS rescue map representing radio data for the plurality of GNSS rescue areas. In this way, the server(s) could transmit, to a mobile device, an offline radio map representing a subset of the GNSS rescue map, to provide radio data for at least one of the GNSS rescue areas or portion thereof.

In accordance with the disclosed approach, positioning server(s) could receive, from mobile devices, information indicating a plurality of GNSS rescue areas, each respective GNSS rescue area of the plurality of GNSS rescue areas corresponding to a respective geographic area visited by a respective one of the mobile devices in which (i) at least one GNSS-based position estimate is or was unavailable and (ii) the respective mobile device had demand for positioning data of at least a particular quality level. Given this, the server(s) could generate a GNSS rescue map representing radio data for the plurality of GNSS rescue areas. In this way, the server(s) could transmit, to a mobile device, an offline radio map representing a subset of the GNSS rescue map, to provide radio data for at least one of the GNSS rescue areas or portion thereof.