A global positioning system (GPS) receiver and system for determining a geographical location associated with the GPS receiver using less than four GPS signals. The system can comprise a constraint module configured to receive one or more constraints that describe at least one characteristic of a GPS receiver when a number of GPS satellites within a line of sight to the GPS receiver is below a defined value. The system can further comprise a pseudo range calculation module configured to calculate a plurality of pseudo ranges between the GPS receiver and the number GPS satellites, wherein the plurality of pseudo ranges are to various orbital positions of the GPS satellites over a period of time; and a geographical location module configured to determine the geographical location of the GPS receiver using the plurality of pseudo ranges and known constraints of motion associated with the GPS receiver.

In one aspect of the present disclosure, an apparatus for locating a mobile railway asset is provided that includes a power source, GNSS circuitry configured to utilize electrical power from the power source to receive GNSS data, and a controller operatively coupled to the power source and the GNSS circuitry. The controller has a power saving mode wherein the controller inhibits the GNSS circuitry from receiving GNSS data and a standard accuracy mode wherein the controller permits the GNSS circuitry to receive GNSS data for a first time period. The controller has a higher accuracy mode wherein the controller permits the GNSS circuitry to receive GNSS data for a second time period longer than the first time period, and subsequently across multiple instances, in order to collect more GNSS data that can be qualified, filtered, sorted, and averaged to produce a more accurate result.

In one aspect of the present disclosure, an apparatus for locating a mobile railway asset is provided that includes a power source, GNSS circuitry configured to utilize electrical power from the power source to receive GNSS data, and a controller operatively coupled to the power source and the GNSS circuitry. The controller has a power saving mode wherein the controller inhibits the GNSS circuitry from receiving GNSS data and a standard accuracy mode wherein the controller permits the GNSS circuitry to receive GNSS data for a first time period. The controller has a higher accuracy mode wherein the controller permits the GNSS circuitry to receive GNSS data for a second time period longer than the first time period, and subsequently across multiple instances, in order to collect more GNSS data that can be qualified, filtered, sorted, and averaged to produce a more accurate result.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

The present disclosure provides a vehicle positioning method implemented by an electronic device, including: obtaining sensor data about N frames of a vehicle through a sliding window, N being a positive integer; creating a target function for a factor graph model in accordance with the sensor data about the N frames, and performing optimization solution on the target function; and determining a pose and a position of the vehicle in accordance with a target value obtained through the optimization solution on the target function.

It is an aspect of the present disclosure to provide a driver assistance system and control method thereof in which perform a data association of various data to be collected, thereby matching a plurality of features and performing precise position measurement.

A method for determining the point location of a vehicle stopped on one storage track among a set of storage tracks, using virtual beacons is provided. It determines and compares the likelihood of a plurality of hypotheses as to the stopped location of the vehicle, corresponding to a first set of NBe predefined virtual beacons Be(i), i varying from 1 to NBe, the respective positions of which are known in an amount of one virtual beacon per storage track, by correlating the GNSS geo-positioning signals received at various synchronization reset times of a second set by the GNSS receiver located on board the vehicle with predicted GNSS geo-positioning signals of replicas expected for the various positions of the virtual beacons of the first set at the various times. The detected holding position of the vehicle is the position that corresponds to the maximum likelihood.

A method for determining the point location of a vehicle stopped on one storage track among a set of storage tracks, using virtual beacons is provided. It determines and compares the likelihood of a plurality of hypotheses as to the stopped location of the vehicle, corresponding to a first set of NBe predefined virtual beacons Be(i), i varying from 1 to NBe, the respective positions of which are known in an amount of one virtual beacon per storage track, by correlating the GNSS geo-positioning signals received at various synchronization reset times of a second set by the GNSS receiver located on board the vehicle with predicted GNSS geo-positioning signals of replicas expected for the various positions of the virtual beacons of the first set at the various times. The detected holding position of the vehicle is the position that corresponds to the maximum likelihood.

To accurately determine walking routes with roadways interposed therebetween. An environmental value calculation unit (18) calculates, based on a plurality of satellite signals from a plurality of satellites received by a positioning apparatus held by a pedestrian of object, an environmental value indicating whether a reception environment of a satellite signal of the plurality of satellite signals is good or bad for a left half side and a right half side with reference to a traveling direction of the pedestrian, and a route determination unit (20) compares an environmental value of the left half side calculated by the environmental value calculation unit (18) with an environmental value of the right half side calculated by the environmental value calculation unit (18) to determine a walking route of the pedestrian.