In one general aspect, a system for determining a motion of an object includes a laser system configured to generate range and velocity measurements of a plurality of points on the object and a processor. The processor is configured to determine, from the range and velocity measurements of the plurality of points on the object, a rotation of the object. In some aspects, the processor is also configured to determine, from the range and velocity measurements of the plurality of points on the object and the rotation of the object, a distance moved by the object between a first time and a second time.

In one general aspect, a system for determining a motion of an object includes a laser system configured to generate range and velocity measurements of a plurality of points on the object and a processor. The processor is configured to determine, from the range and velocity measurements of the plurality of points on the object, a rotation of the object. In some aspects, the processor is also configured to determine, from the range and velocity measurements of the plurality of points on the object and the rotation of the object, a distance moved by the object between a first time and a second time.

A device for ascertaining the orientation of a drill relative to a plane, the device being capable of being connected to the drill, the device having a laser distance measuring unit by which, from a prespecified position relative to the plane, a first distance to a first point in the plane and a second distance to a second point in the plane can be measured, and having an evaluation unit that is configured such that on the basis of the first distance and the second distance the orientation of the device relative to the plane can be ascertained.

Embodiments of the disclosure provide systems and methods for positioning a vehicle. The system includes a communication interface configured to receive point cloud frames with respect to a scene and initial pose data of a vehicle captured by sensors equipped on the vehicle as the vehicle moves along a trajectory. The system also includes a storage configured to store the point cloud frames and the initial pose data. The system further includes a processor configured to estimate pose information of the vehicle associated with each of the point cloud frames based on the initial pose data and the point cloud frames. The processor is also configured to adjust the estimated pose information of the vehicle based on a model. The model includes a spatial relationship and a temporal relationship among the plurality of point cloud frames. The processor is further configured to position the vehicle based on the adjusted pose information.

A soft-constraint technique for refining an initial pose graph may eschew using a hard constraint that identifies different sensor data and/or poses as necessarily being associated with a same portion of an environment. Instead, the soft-constraint technique may employ a loss function with a convergence basin that may be defined based at least in part on an object classification that strongly penalizes candidate locations within a distance associated with the convergence basin. These candidate locations may be based at least in part on one or more object detections associated (1:1) with one or more poses of the initial pose graph. This may result in one or more candidate locations that do not merge with other candidate locations, giving the pose graph optimization the permissiveness or softness according to the techniques described herein.

A soft-constraint technique for refining an initial pose graph may eschew using a hard constraint that identifies different sensor data and/or poses as necessarily being associated with a same portion of an environment. Instead, the soft-constraint technique may employ a loss function with a convergence basin that may be defined based at least in part on an object classification that strongly penalizes candidate locations within a distance associated with the convergence basin. These candidate locations may be based at least in part on one or more object detections associated (1:1) with one or more poses of the initial pose graph. This may result in one or more candidate locations that do not merge with other candidate locations, giving the pose graph optimization the permissiveness or softness according to the techniques described herein.

A method and apparatus for reducing magnetic tracking error in the position and orientation determined in an electromagnetic tracking system is disclosed. In some embodiments, a corrected position and orientation is blended with an uncorrected position and orientation based upon the calculated probability of each. To determine a corrected position and orientation, data from an IMU in the receiver is used to obtain a constraint on the orientation. In other embodiments, the amount of detected error due to electromagnetic distortion is measured. Any error is first assumed to be from floor distortion, and a correction is applied. If the error is still deemed too great, a constraint is again obtained from IMU data. Using this constraint, another correction for the distortion is made. The solution from this correction may be blended with a standard solution and the solution from the floor distortion to arrive at a final solution.

A system having a range-finding laser device (RFLD) is configured to be coupled to an operator performs scans producing range and angle data points on surrounding structures. An attitude inertial measuring unit (IMU) attached to the RFLD measures pitch and roll of the RFLD and at least one zero-velocity update (zupt) IMU coupled to the operator is used to estimate the position, velocity and yaw of the operator. The system has computer logic that transforms data points from sensor frames of reference to a global frame of reference and merges transformed data points in a point cloud that can be used to generate images of scanned environments on a display.

An integrated hands-free, point of view, action-sports, digital video camera (or camcorder) (10) includes: a rotary horizon adjustment controller (14) for adjusting the orientation of a horizontal image plane (16) recorded by an image sensor with respect to the orientation of a camera housing (22); a laser alignment system with laser sources (48) capable of projecting light to define a horizontal projection axis (52) that is coordinated with orientation of the horizontal image plane (16); a manually operable switch (80), which covers a microphone (90) whenever the switch (80) is in the OFF position, for controlling video data capture; and a quick-release mounting system (120) that retains a desired orientation of the camera (10).

A method for determining a movement state of a rigid body relative to an environment using a multiplicity of measurement data sets relating to objects in the environment around the body. Each measurement data set includes a measurement time, a Doppler velocity, and an azimuth angle in relation to a respective sensor reference system. The method includes determining a movement state of the body relative to the environment as a velocity vector and an angular velocity vector in a body reference system. At least one set of conditions that includes a plurality of measurement data sets is created. A function dependent on Doppler velocity deviations between estimated Doppler velocities and the Doppler velocities of the measurement data sets included in the set of conditions is minimized in a regression analysis for the set of conditions. The estimated Doppler velocities are regarded as dependent variables in the regression analysis.