A vehicle includes receiving signals from a plurality of satellites; obtaining position information based on the received signal; detecting a driving speed and yaw rate; obtaining dead reckoning information based on position information about a position of a vehicle recognized in a previous cycle and the received detection information; predicting the position information based on the obtained dead reckoning information; obtaining a value of Euclidean distance based on the position information about the position of the vehicle recognized in the previous cycle and the obtained position information; generating a first outlier filter based on the value of the Euclidean distance; obtaining a value of Mahalanobis distance based on the obtained position information and the predicted position information; generating a second outlier filter based on the value of the Mahalanobis distance; recognizing a current position of the vehicle by fusing information passing through the first outlier filter and information passing through the second outlier filter; and outputting information about the current position of the recognized vehicle as an image or a sound.

A vehicle includes receiving signals from a plurality of satellites; obtaining position information based on the received signal; detecting a driving speed and yaw rate; obtaining dead reckoning information based on position information about a position of a vehicle recognized in a previous cycle and the received detection information; predicting the position information based on the obtained dead reckoning information; obtaining a value of Euclidean distance based on the position information about the position of the vehicle recognized in the previous cycle and the obtained position information; generating a first outlier filter based on the value of the Euclidean distance; obtaining a value of Mahalanobis distance based on the obtained position information and the predicted position information; generating a second outlier filter based on the value of the Mahalanobis distance; recognizing a current position of the vehicle by fusing information passing through the first outlier filter and information passing through the second outlier filter; and outputting information about the current position of the recognized vehicle as an image or a sound.

In one embodiment, a system includes a global navigation satellite system (GNSS) receiver unit, a first inertial measurement unit (IMU) and a second IMU. The system may further include a first micro-controller unit (MCU) coupled to the first IMU and the GNSS receiver unit to receive data from the first IMU and the GNSS receiver unit and a second MCU coupled to the second IMU and the GNSS receiver unit to receive data from the second IMU and the GNSS receiver unit.

In one embodiment, a system includes a global navigation satellite system (GNSS) receiver unit, a first inertial measurement unit (IMU) and a second IMU. The system may further include a first micro-controller unit (MCU) coupled to the first IMU and the GNSS receiver unit to receive data from the first IMU and the GNSS receiver unit and a second MCU coupled to the second IMU and the GNSS receiver unit to receive data from the second IMU and the GNSS receiver unit.

A device implementing a system for device orientation initialization includes at least one processor configured to determine that the device is within or coupled to a vehicle in motion. The at least one processor is configured to employ, in response to the determining, a first position estimation model to estimate a position of the device, and detect occurrence of a predefined condition with respect to employing the first position estimation model. The at least one processor is further configured to switch, in response to detecting occurrence of the predefined condition, from employing the first position estimation model to employing a second position estimation model to estimate the position of the device. The first and second position estimation model apply different respective error state metrics in estimating the position of the device.

Methods for commissioning a construction vehicle for machine control operations are provided. A GNSS receiver configured for determining position information, tilt information, and heading information is coupled to a rigid member of the construction vehicle. The commissioning process provides parameters that can be used for tracking and controlling movement of an implement coupled to the construction vehicle during the machine control operations.

Methods for commissioning a construction vehicle for machine control operations are provided. A GNSS receiver configured for determining position information, tilt information, and heading information is coupled to a rigid member of the construction vehicle. The commissioning process provides parameters that can be used for tracking and controlling movement of an implement coupled to the construction vehicle during the machine control operations.

An integrated navigation method for a mobile vehicle is provided, which includes: acquiring a motion measurement of the mobile vehicle by using an inertial navigation element in the mobile vehicle and calculating a gesture parameter of the mobile vehicle based on the motion parameter; estimating, based on the gesture parameter, a motion state of the mobile vehicle in a real time manner by using a satellite navigation element in the mobile vehicle to obtain an error estimation value of the motion state, and correcting a motion parameter of the mobile vehicle based on the error estimation value of the motion state; and controlling an operation route of the mobile vehicle based on corrected navigation information.

An integrated navigation method for a mobile vehicle is provided, which includes: acquiring a motion measurement of the mobile vehicle by using an inertial navigation element in the mobile vehicle and calculating a gesture parameter of the mobile vehicle based on the motion parameter; estimating, based on the gesture parameter, a motion state of the mobile vehicle in a real time manner by using a satellite navigation element in the mobile vehicle to obtain an error estimation value of the motion state, and correcting a motion parameter of the mobile vehicle based on the error estimation value of the motion state; and controlling an operation route of the mobile vehicle based on corrected navigation information.

The present disclosure relates to a contextual service device and method of use to identify an operator's needs, such as in the event a vehicle crash, vehicle breakdown, theft, and/or vehicle related quarry in real time. In various aspects, the device is self-sufficient and may be installed and activated in a single step. Furthermore, the device is not reliant upon external systems of components of the vehicle to operate and may be updated over the air to improve cash detection accuracy.