Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane. The location polygons define geofenced regions, and each definition for a geofenced region can include one or more rules that are used to evaluate location information reported by a user's equipment. The rules dictate whether an action it taken or inhibited, such as charging a toll or not charging a toll, based on other location information reported by the user's equipment.

Hybrid ranging may be provided. A coverage environment may be divided into a plurality of areas and a corresponding plurality accuracy gradients for each of the plurality of areas may be determined. Passive ranging may be implemented for ones of the plurality of areas that have a high accuracy gradient and one of a high client device density and low client device movement. Active ranging may be implemented for ones of the plurality of areas that have a low client device density. Based on at least one of a level of client device density and movement speed of client devices, switching may be performed between passive ranging and active ranging for ones of the plurality of areas that have at least one of high client device density and high client device movement.

Calibrating an unstable sensor of a mobile device. Systems and methods for calibrating a sensor of a mobile device determine a first estimated position of the mobile device without using any measurement from the sensor of the mobile device, generate a second estimated position of the mobile device using a measurement from the sensor, estimate a sensor error of the sensor using the first estimated position and the second estimated position, and use the sensor error to determine a calibration value for adjusting one or more measurements from the sensor.

There is provided a subject location system, including a master processing unit, a receiver, and at least one Tag associated with the subject. The system includes a Hub with a master processing unit and the Tag includes transponders. Range and phase data are used to calculate the position of the Tag in relation to the Hub, and phase cycle errors are eliminated by, the use of a cyclical search minimizing an innovation inner product.

The present disclosure provides an indoor positioning method and an electronic device. The method includes: determining a current state of an electronic device according to a current speed parameter of a sensor; if it is determined that the electronic device is currently in a motion state, turning on a Bluetooth positioning circuit in the electronic device; determining a current location of the electronic device according to positioning beacon information obtained by the Bluetooth positioning circuit.

Methods and systems are provided for navigating a mobile platform in an environment. A processor obtains information about an object in the environment, obtains information about a first satellite, and estimates a probability indicator for a non-line of sight signal transmission between a current satellite location of the first satellite and a current location of the mobile platform using the information about the first satellite and the information about the object. The processor further determines a discrepancy indicator using a movement information of the mobile platform and a movement information of the first satellite such that a weighting indicator can be determined using the estimated probability indicator and the determined discrepancy indicator. The processor then assigns a weighting indicator to a satellite signal transmitted from the first satellite in order to provide a first weighted signal for navigating the mobile platform.

An electronic device includes an indoor positioner and a positioning engine server. The indoor positioner has an array antenna to receive a wireless signal from user equipment, and to calculate the angle of arrival (AOA) of the wireless signal according to the phase difference and the time difference. The wireless signal includes status data of the user equipment. The positioning engine server converts the angle of arrival into a set of coordinates that correspond to a position of the user equipment, and inputs the set of coordinates to an IMM module. The IMM module includes a first state module and a second state module. The IMM module calculates weighting values for the first state module and the second state module according to the status data of the user equipment, and outputs an estimated set of coordinates according to the set of coordinates and the weighting values.

The present disclosure pertains to utilizing hardware and software to control and record environmental and other data obtained from sensors and other devices, placed throughout a facility, and analyzing and displaying the information in a detailed status report of the environmental conditions inside facility, and once analyzed, the software can provide recommendations to implement measures that increase the efficiency of the facility.

Disclosed is an approach for improving performance of a radio-based positioning system by detecting and excluding mobile radio nodes. The disclosed approach involves processors (e.g., of positioning server(s) and/or of a computing device) making a determination (i) that a speed of a computing device is at or above a threshold speed, and (ii) that at least one condition is met, the at least one condition indicating that a radio node is moving substantially along with the computing device. In response to making the determination, the processors may deem the radio node to be a mobile node. Given this, the processors may in turn exclude the radio node for positioning purposes, which may ultimately improve performance of the radio-based positioning system.

Systems, methods, devices, computer readable media, and other various embodiments are described for location management processes in wearable electronic devices. One embodiment involves pairing a client device with a wearable device, capturing a first client location fix at a first time using the first application and location circuitry of the client device. The client device then receives content from the wearable device, where the content is associated with a content capture time and location state data. The client device then updates a location based on the available data to reconcile the different sets of location data. In some embodiments, additional sensor data, such as data from an accelerometer, is used is used to determine which location data is more accurate for certain content.