A method of device tracking is provided. Based on a captured image containing a marker, first spatial position is acquired. Based on a captured image of a scene, second spatial position is acquired. Based on at least one of the first spatial position and the second spatial position, a terminal device may be positioned and tracked.

In one example, a vehicle includes a platform and a yaw sensor mounted on the platform. The yaw sensor provides an indication of a yaw rate of rotation of the yaw sensor. The vehicle also includes an actuator that rotates the platform. The vehicle also includes a controller coupled to the yaw sensor and the actuator. The controller receives the indication of the yaw rate from the yaw sensor. The controller also causes the actuator to rotate the platform (i) along a direction of rotation opposite to a direction of the rotation of the yaw sensor and (ii) at a rate of rotation based on the yaw rate of the yaw sensor. The controller also estimates a direction of motion of the vehicle in an environment of the vehicle based on at least the rate of rotation of the platform.

In one example, a vehicle includes a platform and a yaw sensor mounted on the platform. The yaw sensor provides an indication of a yaw rate of rotation of the yaw sensor. The vehicle also includes an actuator that rotates the platform. The vehicle also includes a controller coupled to the yaw sensor and the actuator. The controller receives the indication of the yaw rate from the yaw sensor. The controller also causes the actuator to rotate the platform (i) along a direction of rotation opposite to a direction of the rotation of the yaw sensor and (ii) at a rate of rotation based on the yaw rate of the yaw sensor. The controller also estimates a direction of motion of the vehicle in an environment of the vehicle based on at least the rate of rotation of the platform.

In one example, a vehicle includes a platform and a yaw sensor mounted on the platform. The yaw sensor provides an indication of a yaw rate of rotation of the yaw sensor. The vehicle also includes an actuator that rotates the platform. The vehicle also includes a controller coupled to the yaw sensor and the actuator. The controller receives the indication of the yaw rate from the yaw sensor. The controller also causes the actuator to rotate the platform (i) along a direction of rotation opposite to a direction of the rotation of the yaw sensor and (ii) at a rate of rotation based on the yaw rate of the yaw sensor. The controller also estimates a direction of motion of the vehicle in an environment of the vehicle based on at least the rate of rotation of the platform.

In one example, a vehicle includes a platform and a yaw sensor mounted on the platform. The yaw sensor provides an indication of a yaw rate of rotation of the yaw sensor. The vehicle also includes an actuator that rotates the platform. The vehicle also includes a controller coupled to the yaw sensor and the actuator. The controller receives the indication of the yaw rate from the yaw sensor. The controller also causes the actuator to rotate the platform (i) along a direction of rotation opposite to a direction of the rotation of the yaw sensor and (ii) at a rate of rotation based on the yaw rate of the yaw sensor. The controller also estimates a direction of motion of the vehicle in an environment of the vehicle based on at least the rate of rotation of the platform.

A survey tool system (100) for surveying deviation of a previously drilled hole (10, 20) from a selected hole path (30) comprises: an assembly of drill pipe sections (55) co-operable with said previously drilled hole (10, 20); and at least one sensor (125) included within the assembly of drill pipe sections (55) for collecting survey data including data correlated with deviation of said previously drilled hole (10, 20) from said selected hole path (30). A processor (130) processes data collected from the at least one sensor (125) and determines deviation of the previously drilled hole (10, 20) from the selected path (30) for said previously drilled hole (10, 20).

A survey tool system (100) for surveying deviation of a previously drilled hole (10, 20) from a selected hole path (30) comprises: an assembly of drill pipe sections (55) co-operable with said previously drilled hole (10, 20); and at least one sensor (125) included within the assembly of drill pipe sections (55) for collecting survey data including data correlated with deviation of said previously drilled hole (10, 20) from said selected hole path (30). A processor (130) processes data collected from the at least one sensor (125) and determines deviation of the previously drilled hole (10, 20) from the selected path (30) for said previously drilled hole (10, 20).

Systems and methods for providing automatic detection of inertial sensor deployment environments are provided. In one embodiment, an environment detection system for a device having an inertial measurement unit that outputs a sequence of angular rate measurements comprises: an algorithm selector; and a plurality of environment detection paths each receiving the sequence of angular rate measurements, and each generating angular oscillation predictions using an environment model optimized for a specific operating environment. The environment model for each of the environment detection paths is optimized for a different operating environment. Each of the environment detection paths outputs a weighting factor that is a function of a probability that its environment model is a true model of a current operating environment given the sequence of angular rate measurements; and wherein the algorithm selector generates an output based on a function of the weighting factor from each of the environment detection paths.

Systems and methods for providing automatic detection of inertial sensor deployment environments are provided. In one embodiment, an environment detection system for a device having an inertial measurement unit that outputs a sequence of angular rate measurements comprises: an algorithm selector; and a plurality of environment detection paths each receiving the sequence of angular rate measurements, and each generating angular oscillation predictions using an environment model optimized for a specific operating environment. The environment model for each of the environment detection paths is optimized for a different operating environment. Each of the environment detection paths outputs a weighting factor that is a function of a probability that its environment model is a true model of a current operating environment given the sequence of angular rate measurements; and wherein the algorithm selector generates an output based on a function of the weighting factor from each of the environment detection paths.

Methods, apparatuses and computer programs are disclosed for estimating, or at least for generating information usable to estimate, the heading of at least one axis of interest of a rigid body. Rigid body is equipped with an antenna of a navigation satellite system (NSS) receiver, and with sensor equipment comprising sensors such as a gyroscope, an angle sensor, and accelerometers, depending on the form of the invention. Rigid body is subject to a known motion comprising causing a point's horizontal position to change, the point being referred to as point B, while keeping another point's position, the point being referred to as point A, fixed relative to the Earth. Considering the motion constraint, an estimation of the heading is generated using sensor equipment data and NSS receiver data. The estimation of the heading may for example be used to estimate the position of any point of rigid body.