Method, systems, and computer-readable media containing instructions which, when executed by a computing device, cause it to receive data from an inertial measurement unit, including GPS data, velocity data, and bearing data, receive data from a digital magnetic compass, including bearing data, receive data from a Doppler sensor, including velocity data and distance data, determining whether GPS location data is in consensus with a previous derived multi-source reckoning system location, determining a consensus distance value from a weighted average of data from the inertial measurement unit and the Doppler sensor, determine a consensus heading value from a weighted average of data from the inertial measurement unit and the digital magnetic compass, determine a consensus geolocation value from a weighted average of data from the inertial measurement unit and the previous derived multi-source reckoning system location, and determine a derived multi-source reckoning system location.

An error model calibration method can analyze discrete distribution situations of a pseudo-range measurement error and a Doppler measurement error under different carrier-to-noise ratios and altitude helping to calibrate and improve the universality of error model calibration. Observation data is received and satellite data is acquired based on the observation data. A pseudo-range error array and a Doppler error array are calibrated based on the observation data, geometric parameters, and the satellite data. The pseudo range error array describes errors of two terminals under a carrier-to-noise ratio and altitude angle of a satellite. The Doppler error array describes a discrete distribution of the two terminals. The pseudo-range error models respectively corresponding to the at least two terminals are fit using the pseudo-range error array. The Doppler error models respectively corresponding to the at least two terminals are fit using the Doppler error array.

A wireless device includes a satellite receiver to receive data from multiple satellites. The wireless device also includes processing circuitry and memory. The memory stores one or more neural network models. The processing circuitry is operative to identify a neural network model that has been trained to adapt to a region in which the wireless device operates, classify satellite raw measurements from each satellite at a given time into a corresponding quality level using the neural network model, and identify satellites raw measurements with a quality level higher than a threshold. The location of the wireless device is calculated using the identified satellite raw measurements.

A wireless device includes a satellite receiver to receive data from multiple satellites. The wireless device also includes processing circuitry and memory. The memory stores one or more neural network models. The processing circuitry is operative to identify a neural network model that has been trained to adapt to a region in which the wireless device operates, classify satellite raw measurements from each satellite at a given time into a corresponding quality level using the neural network model, and identify satellites raw measurements with a quality level higher than a threshold. The location of the wireless device is calculated using the identified satellite raw measurements.

An approach is provided for increased accuracy for a positioning receiver in a multipath signal environment. The approach, for example, involves receiving real-time imagery data collected using one or more sensors. The real-time imagery data, for instance, depicts a geographic environment in which the positioning receiver is operating. The approach also involves processing the real-time imagery data to dynamically generate a mask angle. The approach further involves blocking one or more signals from one or more navigation satellites received at the positioning receiver using the mask angle. The approach further involves determining positioning data using the positioning receiver based on the blocking of the one or more signals.

Systems and methods for displaying connectivity strength for vehicles are disclosed. For instance, the method may include receiving, from an off-board station, connectivity data relating to a connected vehicle, the connectivity data having been received from a plurality of connected vehicles other than the connected vehicle and selected based on relevance to the connected vehicle; identifying a portion of the received connectivity data to display on the connected vehicle; generating a display of the identified portion of the received connectivity data; and displaying on a display unit of the connected vehicle, the generated display of the identified portion of the received connectivity data. The method may also include generating and displaying an updated route based on the received connectivity data.

Systems and methods for displaying connectivity strength for vehicles are disclosed. For instance, the method may include receiving, from an off-board station, connectivity data relating to a connected vehicle, the connectivity data having been received from a plurality of connected vehicles other than the connected vehicle and selected based on relevance to the connected vehicle; identifying a portion of the received connectivity data to display on the connected vehicle; generating a display of the identified portion of the received connectivity data; and displaying on a display unit of the connected vehicle, the generated display of the identified portion of the received connectivity data. The method may also include generating and displaying an updated route based on the received connectivity data.

A sensor system for a vehicle includes a central module and a plurality of sub modules mounted in a frame of the vehicle, the sub modules being independently removable. The sub modules include sensors configured to capture image data and distance data in a vicinity of the vehicle. The central module is connected to each of the plurality of sub modules through a first network including a switching hub. The sub modules are individually connected to an external processor through a second network. The central processor is configured to synchronize the sub modules based on absolute time information through the first network, and the sub modules are configured to output the captured image data and distance data appended with synchronized time information to the external processor by communicating through the second network.

A system, computer software and method for collecting, in addition to position data, additional positioning data in a user terminal served by a communication network. The method includes initiating, by generating a message within the user terminal, collection of the positioning data, where the positioning data includes information based on which a physical location of the user terminal is determined; measuring, by the user terminal, at least one parameter related to the physical location of the user terminal in response to the message; producing, within the user terminal, measurement reports that include the at least one parameter; selecting, within the user terminal, one or more measurement reports that were generated in response to the message generated by the user terminal; reporting the selected one or more measurement reports to an interface within the user terminal; and transmitting, from the interface, the reported one or more measurement reports to an external server or to the communication network.

A system, computer software and method for collecting, in addition to position data, additional positioning data in a user terminal served by a communication network. The method includes initiating, by generating a message within the user terminal, collection of the positioning data, where the positioning data includes information based on which a physical location of the user terminal is determined; measuring, by the user terminal, at least one parameter related to the physical location of the user terminal in response to the message; producing, within the user terminal, measurement reports that include the at least one parameter; selecting, within the user terminal, one or more measurement reports that were generated in response to the message generated by the user terminal; reporting the selected one or more measurement reports to an interface within the user terminal; and transmitting, from the interface, the reported one or more measurement reports to an external server or to the communication network.