A system and method for reconstructing a positional contour of a variably contoured surface includes a plurality of positional sensors and a plurality of orientation sensor disposed upon the surface, a processor and a memory. The system captures a positional description of the surface and produces a rotationally-invariant point cloud, and captures a first absolute orientation description of the surface and produces a first set of relative orientations. The first rotationally-invariant point cloud is resampled with respect to the orientation description to produce a first synchronized rotationally-invariant point cloud. The first set of relative orientations and the first synchronized rotationally-invariant point cloud are transformed to produce respective sets of dimensional representations and manifold transformer parameters, which are mapped to produce a trained mapping function definition. The system captures a second absolute orientation description of the surface and uses the trained mapping function definition to produce a reconstructed synchronized rotationally-invariant point cloud.

An optical detector (110) is disclosed, the optical detector (110) comprising: at least one spatial light modulator (114) being adapted to modify at least one property of a light beam (136) in a spatially resolved fashion, having a matrix (132) of pixels (134), each pixel (134) being controllable to individually modify the at least one optical property of a portion of the light beam (136) passing the pixel (134); at least one optical sensor (116) adapted to detect the light beam (136) after passing the matrix (132) of pixels (134) of the spatial light modulator (114) and to generate at least one sensor signal; at least one modulator device (118) adapted for periodically controlling at least two of the pixels (134) with different modulation frequencies; and at least one evaluation device (120) adapted for performing a frequency analysis in order to determine signal components of the sensor signal for the modulation frequencies.

Disclosed are methods, systems, devices, apparatus, computer-/processor-readable media, and other implementations, including a method, at a processor-based mobile device, that includes determining a first set of candidate positions of the mobile device corresponding to a first time instance based, at least in part, on position data including a first set of identifiers decoded from signals including respective first one or more light-based communications received by the mobile device from a first one or more light devices, with the mobile device being located at a first location at the first time instance. The method further includes selecting at least one candidate position from the first set of candidate positions, in response to a determination that the first set of candidate positions includes more than one candidate position, in order to resolve positional ambiguity, based, at least partly, on further position data from further signals from one or more devices.

A 3D sensor for an apparatus for determining the 3D coordinates of an object comprises in accordance with the invention at least one camera and at least three plane projectors.

A method for measuring a distance includes modulating the light beam at a first frequency, receiving a second beam by the optical detector to produce a first electrical signal having the first frequency and a first phase; modulating the light beam at a second frequency different than the first frequency; receiving the second beam by the optical detector to produce a second electrical signal having the second frequency and a second. After these steps, the retroreflector is moved while modulating the light beam continuously at the second frequency; and a first distance to the retroreflector is determined based at least in part on a the first and second frequencies and phases.

A method of determining a position and orientation of a device is provided. The position and orientation of the device is determined based on multiple degrees of freedom (DoF) and the device is associated with a capturing device for capturing at least one image is provided. The method includes: capturing at least one image of a real object with the capturing device, and providing a coordinate system in relation to the object; providing an estimation of intrinsic parameters of the capturing device; providing pose data to compute first and second DoFs in the coordinate system, with each DoF having a confidence degree; determining an initial pose of the device; performing a pose estimation process, and calculating in the pose estimation process an estimation of the DoFs having a second confidence degree; and determining a position and orientation of the device.

A detector for determining a position of at least one object. The detector includes: at least one optical sensor configured to detect a light beam traveling from the object towards the detector, the optical sensor including at least one matrix of pixels; and at least one evaluation device configured to determine an intensity distribution of pixels of the optical sensor that are illuminated by the light beam, the evaluation device further configured to determine at least one longitudinal coordinate of the object by using the intensity distribution.

A system for determining a new orientation and/or position of an object comprises a sky polarimeter configured to record image data of the sky, a signal processing unit, and logic configured to receive and store in memory the image data received from the sky polarimeter. The logic calculates the Stokes parameters (S.sub.0, S.sub.1, S.sub.2,), DoLP, and AoP from the image data, detects obscurants and filters the obscurants (such as clouds and trees) from the image data to produce a filtered image. The logic is further configured to find the Sun and zenith in the filtered image, and to determine the roll, pitch, yaw, latitude and longitude of the object using the filtered image. A method for determining a new position/orientation of an object comprises recording raw image data using a sky polarimeter, calculating S.sub.0, S.sub.1, S.sub.2, DoLP, and AoP from the image data, detecting obscurants and filtering the obscurants from the image data to produce a filtered image, obtaining last known position/orientation data of the object, finding the Sun and zenith in the filtered image, and determining the roll, pitch, yaw, latitude and longitude of the object using the filtered image.

A position tracking system includes an array of detection pixels coupled to a head-mounted display (HMD) configured to capture light signals reflected from an environment surrounding the HMD. The position tracking system maintains, in a database, signal data related to a plurality of positions of the HMD. The position tracking system determines signal data related to a position of the HMD, based on the light signals captured during a time instant of the position of the HMD. The position tracking system matches the determined signal data to the maintained signal data, determines a present position of the HMD based on the matching, updates position data of the HMD with the determined position, and provides the updated position data of the HMD.

A ranging system captures successive point clouds from moving freight, and a tracking system tracks successive positions and orientations of the moving freight. A computing device correlates each successive point cloud with each successive position and orientation and time of the moving freight, combines the correlated point clouds to obtain a composite point cloud of the moving freight, and processes the composite point cloud to dimension the moving freight. Once the freight is dimensioned, it may, for example, be efficiently loaded into a container.