In accordance with an embodiment, a method of operating a rotorcraft includes operating the rotorcraft in a position hold mode by determining whether GPS position data is usable, receiving a position of the rotorcraft from a GPS sensor, determining a position error based on received GPS position data and a held position when the GPS position data is usable, determining the position error based on a rotorcraft velocity when the GPS position data is not usable, and transmitting an actuator command based on the determined position error.

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.

Techniques of range free proximity determination are described. A mobile device can determine an entry into or exit from a proximity fence upon determining that the mobile device is sufficiently close to a signal source. The proximity fence can be a virtual fence defined by the signal source and associated with a service. The mobile device can detect signals from multiple signal sources. The mobile device can determine that, among the signal sources, one or more signal sources are located closest to the mobile device based on a ranking of the signal sources using signal strength. The mobile device can determine a probability indicating a confident level of the ranking. The mobile device can determine that the mobile device entered or exited a proximity fence associated with a highest ranked signal source satisfying a confidence threshold.

This specification describes a method comprising: based on at least one of data included in a radio frequency data packet received from a trackable device (S2.1) and stored routing information associated with the trackable device (S2.3), determining which of local area network server apparatus and cloud server apparatus is to determine a position of the trackable device based on data derived from receipt of the radio frequency data packet (S2.11); and in response to determining that the cloud server apparatus is to determine the location of the trackable device, causing the data derived from the receipt of the radio frequency data packet to be routed towards the cloud server apparatus (S2.6).

A system and method for mapping, tracking, positioning, and navigating in GPS-denied or GPS-inaccurate areas features accurate and automatic generation and update of a pedestrian lane map based on crowd-sourcing unique path features (UPFs) in combination with associated path estimates from a plurality of mobile devices. Searching and matching newly generated UPFs and associated path estimates, to a pedestrian lane map with known UPFs and associated lanes (or lane estimates) provides simultaneous localization and mapping (SLAM) of mobile devices in GPS-denied or GPS-inaccurate areas, including indoors, underground; dense urban streets with high buildings, natural canyons, and similar environments. UPFs are robust to noise and orientation invariant, enabling operation on low cost mobile device sensors and handling of real life human behavior. The innovative UPFs and pedestrian lane map enable route finding, generating guiding instructions, tracking, and analysis of pedestrian traffic.

A method and system for disabling functions of a movement detection enabled device is provided. The method includes monitoring a movement detection signal of the movement detection enabled device in a vehicle and determining that the vehicle is currently in motion. An electronic tag in the vehicle is detected and instructions associated with the movement detection enabled device are retrieved. It is determined that the movement detection enabled device is located within a specified proximity to a driver location of the vehicle and that a user of the device is a driver of the vehicle. In response, specified functions of the movement detection enabled device are disabled.

A wireless signal processing method includes determining, by an wireless communication device, whether a terminal device is in a stationary state or in a moving state according to a plurality of received signal strength indicators (RSSIs); when the terminal device is in the stationary state, determining, by the wireless communication device, whether the RSSIs are in a bimodal distribution; on the condition that the RSSIs are in the bimodal distribution, adjusting a plurality of antenna units in the wireless communication device to be on or off dynamically; and sending, by the wireless communication device, the RSSIs to a location engine to locate the terminal device.

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.

A tracking system for locating an individual, the tracking system including a processing system that remotely monitors a wearable tracking device worn by the individual, wherein the wearable tracking device includes a housing, a user interface device, including at least one of, a display mounted in a face of the housing, a speaker, a microphone, a location sensor that senses a location of the wearable tracking device and a wearable tracking device processor that communicates with the processing system via a communications network. The wearable tracking device processor performs tracking and performs user interface control by receiving a user interface control indication provided by the processing system and controlling the user interface in accordance with the user interface control indication.

Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.