A method and an apparatus are provided for performing visual inertial odometry (VIO). Measurements are processed from an inertial measurement unit (IMU), a camera, and a depth sensor. Keyframe residue including at least depth residue is determined based on the processed measurements. A sliding window graph is generated and optimized based on factors derived from the keyframe residue. An object pose is estimated based on the optimized sliding window graph.

Described herein are embodiments of a method and system that uses a vertical or upward facing imaging sensor to compute vehicle attitude, orientation, or heading and combines the computed vehicle attitude, orientation, or heading with range bearing measurements from an imaging sensor, LiDAR, sonar, etc., to features in the vicinity of the vehicle to compute accurate position and map estimates.

A multiple faulty global navigation satellite signal detecting system is provided. The system includes at least one pair of spaced antennas, at least one aiding source and processor. The at least one pair of spaced antennas are configured to receive satellite signals from a plurality of satellites. The at least one aiding source is used to generate aiding source position estimate signals. The processor is in communication with each antenna and the at least one aiding source. The processor is configured to determine signals blocks. The signal blocks being a collection of subsets of the determined difference signals and a covariance matrix for the difference signals. The processor further configured to generate a union of good signals from all the good blocks and a complementary set of bad signals.

A surveying instrument for executing a relocation functionality, which determines first coordinates of a stationary target point associated with the start signal, in response to a start signal, a first actuator and a second actuator are controlled such that the stationary target point remains within a detection area of a tracking unit of the surveying instrument, determines second coordinates of the stationary target point, receives an end signal, wherein the second coordinates of the stationary target point are associated with the end signal, and based at least in part on the first and second coordinates of the stationary target point, and determines a relative pose of the surveying instrument with respect to a first setup location and a second setup location, wherein the first setup location is associated with the first coordinates and the second setup location is associated with the second coordinate.

A motion constraint-aided underwater integrated navigation method employing improved Sage-Husa adaptive filtering includes establishing a Doppler log error model; constructing a state equation for an underwater integrated navigation system employing Kalman filtering; according to a relationship between a centripetal acceleration and a forward velocity of an underwater vehicle, establishing a constraint condition, and constructing a complete motion constraint model; establishing two measurement equations; and establishing a filter equation, conducting calculation by using a standard Kalman filtering algorithm when an underwater glider normally runs, and conducting time updating, measurement updating and filtering updating by using an improved Sage-Husa adaptive filtering algorithm when a measurement noise varies. The motion constraint-aided underwater integrated navigation method improves a filtering accuracy of the underwater integrated navigation system, restrains a filter divergence and has robustness and reliability.

An object detection device includes an external sensor, an inertia sensor, and a control device. The external sensor is fixed to a ship. The external sensor detects an object. The inertia sensor detects information related to an inertial force applied to the ship. The control device acquires a state of relative displacement of a detection object on the basis of a signal output from the external sensor. The control device acquires a state of an attitude change of the ship on the basis of a signal output from the inertia sensor. The control device determines whether a detection object is present outside the ship according to a correlation between the state of the attitude change of the ship and the state of the relative displacement of the detection object.

A method of restoring navigational performance for a navigational system, the method comprising receiving by a first navigational system and a second navigational system a collection of data points to establish a real-time navigational route for the aircraft, comparing navigational performance values and/or drift ranges and establishing a new navigational route based on the collection of data points.

A method of controlling movement of a machine may include receiving, from a plurality of IMU modules mounted on a corresponding plurality of components of the machine, a plurality of signals indicative of orientation measurements and motion measurements for the components of the machine on which the plurality of IMU modules are mounted. The IMU modules include a corresponding number of state estimators, and form a mesh network communicatively coupled to a communication bus. The method may also include fusing the signals, determining estimates of output orientation data and output motion data for the components of the machine based on the fused signals, determining a real time value for at least one of position, velocity, or acceleration of the components of the machine based on a kinematic evaluation, and applying the determined real time value in an implementation of a controlled operational movement of the components of the machine.

The present invention relates to a road vehicle localisation method based on magnetic landmarks. Said method is comprised by an offline phase and by an online phase. The offline phase is responsible for creating a reference landmark database comprised by a plurality of magnetic landmarks, wherein each magnetic landmark is associated to a path location data. The online phase is projected to match a current anomaly detected with a reference anomaly of the reference landmark database, in order to estimate the location of a vehicle based on the path location data of the correspondent reference landmark.

It is also described a system comprised by a sensor unit, a storage unit and by a processing unit, which is specifically programmed to operate according the road vehicle localisation method developed.

The disclosure relates to a method for determining correction values for a number of sensors of a traveling motor vehicle. The method being based on backward calculation. The disclosure further relates to a method for determining a position of a motor vehicle, using the correction values. The disclosure also relates to an associated electronic control device and to an associated non-volatile computer-readable storage medium.