A method of inspecting a static monitoring installation including creating a reference image from signal reflections from static objects in a monitoring space determining a reference value from the reflections of the reference image, creating a comparison image from the signal reflections from the static objects in the space, wherein the comparison image is recorded with a time offset after the reference image, determining at least one comparison value from the reflections of the comparison image, and outputting a fault signal when a deviation of the comparison value and the reference value exceeds a threshold value.

A LIDAR-to-vehicle alignment system includes a memory and alignment and autonomous driving modules. The memory stores points of data provided based on an output of one or more LIDAR sensors and localization data. The alignment module performs an alignment process including: based on the localization data; determining whether a host vehicle is turning; in response to the host vehicle turning; selecting a portion of the points of data; aggregating the selected portion to provide aggregated data; selecting targets based on the aggregated data; and based on the selected targets, iteratively reducing a loss value of a loss function to provide a resultant LIDAR-to-vehicle transformation matrix. The autonomous driving module: based on the resultant LIDAR-to-vehicle transformation matrix, converts at least the selected portion to at least one of vehicle coordinates or world coordinates to provide resultant data; and performs one or more autonomous driving operations based on the resultant data.

Various measurement systems and methods are disclosed to enable characterizing the optical characteristics of light beams emitted by a light detection and range finding (LIDAR) system or sensor and evaluating the range finding function of user selected lidar channels while the lidar operates under a real operational condition and is exposed to a range of user defined environmental conditions.

A method includes: deriving a first absolute motion of the first optical sensor based on radial positions, azimuthal positions, radial distances, and radial velocities of points in a first cluster of points representing a first static reference surface in a first frame captured by the first optical sensor; deriving a second absolute motion of the second optical sensor based on radial positions, azimuthal positions, radial distances, and radial velocities of points in a first cluster of points representing a first static reference surface in a second frame captured by the second optical sensor; calculating a rotational offset between the first optical sensor and the second optical sensor based on the first absolute motion and the second absolute motion; and aligning a third frame captured by the first optical sensor with a fourth frame captured by the second optical sensor based on the rotational offset.

A support structure having a vertical element supporting a set of cameras associated with a vehicle measurement or inspection system together with at least one target structure required for realignment or recalibration of onboard vehicle safety system sensors. A camera crossbeam carried by the support structure locates the set of cameras as required to view a vehicle undergoing measurement or inspection. The target structure is affixed to the vertical element of the support structure, at an elevation suitable for observation by at least one vehicle onboard sensors during a realignment or recalibration procedure. A set of rollers facilitates positioning of the target structure on a supporting floor surface during a realignment or recalibration procedure.

A system and method for measuring three-dimensional (3D) coordinate values of an environment is provided. The method including moving a 2D scanner through the environment. A 2D map of the environment is generated using the 2D scanner. A path is defined through the environment using the 2D scanner. 3D scan locations along the path are defined using the 2D scanner. The 2D scanner is operably coupled to a mobile base unit. The mobile base unit is moved along the path based at least in part on the 2D map and the defined path. 3D coordinate values are measured at the 3D scan locations with a 3D scanner, the 3D scanner being coupled to the mobile base unit.

A Light Detection and Ranging (LIDAR) system is provided. The LIDAR system includes a LIDAR transmitter configured with a first field of view and configured to transmit laser beams into the first field of view at a plurality of discrete transmission angles in order to scan the first field of view with the laser beams; a LIDAR receiver configured with a second field of view and configured to receive reflected laser beams from the second field of view and generate electrical signals based on the received reflected laser beams; and a controller configured to shift at least one of the first field of view or the second field of view based on a misalignment in order to optimize an overlap of the first field of view and the second field of view.

The current technology relates to a device for performing location triangulation on an object of interest. The device can include an elongate frame defining a sensor plane. The device can further include distance sensors equally spaced and fixed to the elongate frame. A distance sensor can sense an object distance outwardly from the sensor plane. The device can further include a processor coupled to the distance sensors and configured to triangulate a location of a first object outwardly from the sensor plane based on the object distance sensed by the plurality of distance sensors. Other example systems and methods are also described.

A light detection and ranging system can have an avalanche photodiode detector positioned between at least one pair of non-avalanche photodiode detectors with each detector connected to a photon controller. The photon controlled may selectively activate one or more detectors to determine an alignment of photons emitted by one or more emitters.

A light detection and ranging system can have a light source coupled to a polygon reflector having a plurality of facets. A controller can be connected to the light source and directed to generate and execute a calibration strategy that alters an orientation of the light source in response to identification of a position of at least one facet of the plurality of facets.