A method for calibrating and/or adjusting a lidar system. In the method, in order to perform a measurement-based comparison with respect to an underlying one-dimensionally or two-dimensionally detecting detector unit, a distribution of secondary light incident from the field of view and imaged onto the detector unit, and a center position and/or width of the distribution is/are acquired as position data and compared especially with presumed and/or expected position data featuring an expected center position and/or an expected distribution.

Provided is a target instrument including a pole, a prism provided on the pole, and a terminal device provided on the pole, wherein the terminal device comprises an image pickup module, a tilt sensor which detects tilts in two axial directions, and an arithmetic control module, wherein the image pickup module acquires an image which includes a reference object, the tilt sensor detects a tilt angle of a target instrument, and the arithmetic control module calculates a tilt direction of the target instrument from a position of the reference object in the image, calculates a tilt direction of the target instrument based on tilt angles in the two axial directions of the tilt sensor, acquires a deviation between the two tilt directions, and corrects the tilt angles in the two axial directions of the tilt sensor to tilt angles in directions parallel to an optical axis of the image pickup module and orthogonal to the optical axis based on the deviation.

A detector for object authentication includes first and second illumination sources. The first illumination source projects an illumination pattern including a plurality of illumination features onto a surface of an object. The second illumination source projects an illuminating light beam onto the object. The detector also includes an image capture device for determining a first image including a plurality of reflection features generated by the surface of the object in response to the illumination pattern and for determining a second image including two dimensional information associated with the surface of the object generated in response to the illuminating light beam. The detector also includes an evaluation device for evaluating the first image and the second image, identifying a geometrical feature of the object, determining a material property of the object, and comparing the two dimensional information to data stored in a database for authentication of the object.

Embodiments of the disclosure provide receivers for light detection and ranging (LiDAR). In an example, a receiver includes a beam converging device and an EO beam deflecting unit. The beam converging device is configured to receive a laser beam from an object being scanned by the LiDAR and form an input laser beam. The EO beam deflecting unit is configured to generate a non-uniform medium having at least one of a refractive index gradient or a diffraction grating, receive the input laser beam such that the input laser beam impinges upon the non-uniform medium, and form an output laser beam towards a photosensor. An angle between the input and the output laser beams is nonzero.

A frequency shift correcting unit (25) which corrects a frequency shift of a plurality of first signal spectra within the same time range with respect to a frequency of first laser light beam and corrects a frequency shift of a plurality of second signal spectra within the same time range with respect to a frequency of second laser light beam, and a spectrum integrating unit (26) which integrates a plurality of first signal spectra corrected by the frequency shift correcting unit (25) and integrates a plurality of second signal spectra corrected by the frequency shift correcting unit (25) are provided, and a molecular concentration calculating unit (27) calculates a concentration of molecules in the atmosphere from the first and second signal spectra integrated by the spectrum calculating unit (26).

A light detection and ranging system can consist of a detector body constructed of Germanium and configured with a Mie resonance. A metal contact and metasurface can each be positioned atop the detector body with the metal contact preventing screening of light to the detector body. Impedance mismatch can be corrected to eliminate reflection from the metasurface.

Techniques for realizing compound semiconductor (CS) optoelectronic devices on silicon (Si) substrates for vehicle applications are disclosed. The integration platform is based on heteroepitaxy of CS materials and device structures on Si by direct heteroepitaxy on planar Si substrates or by selective area heteroepitaxy on dielectric patterned Si substrates. Following deposition of the CS device structures, device fabrication steps can be carried out using Si complimentary metal-oxide semiconductor (CMOS) fabrication techniques to enable large-volume manufacturing. The integration platform can enable manufacturing of optoelectronic devices including photodetector arrays for image sensors and vertical cavity surface emitting laser arrays. Such devices can be used in various applications including light detection and ranging (LIDAR) systems for vehicle apparatuses such as automobiles, boats, airplanes, and drones, and for other perception applications such as industrial vision, artificial intelligence (AI), augmented reality (AR) and virtual reality (VR).

In one embodiment, a lidar system includes a light source configured to emit multiple optical signals directed into a field of regard of the lidar system. The optical signals include a first optical signal and a second optical signal, where the second optical signal is emitted a particular time interval after the first optical signal is emitted. The lidar system also includes a receiver configured to detect a received optical signal that includes a portion of the emitted first or second optical signal that is scattered by a target located a distance from the lidar system. The received optical signal is detected after the second optical signal is emitted. The receiver includes a first detector configured to detect a first portion of the received optical signal and a second detector configured to detect a second portion of the received optical signal.

A light receiving element array includes one or more unit element blocks. Each of the unit element blocks includes different light receiving elements with different element structures.

Real-time three-dimensional (3D) map building method and device using a 3D lidar includes representing 3D map data of a surrounding environment acquired by using a 3D lidar attached to a moving object as voxels, acquiring an eigenvalue and an eigenvector for each voxel based on all 3D points in a 3D map represented as the voxels, detecting a 3D corresponding point in the voxel corresponding to all the 3D points of 3D data newly acquired by using the 3D lidar while the moving object travels, calculating a rotation transformation and a translation transformation for minimizing an error by minimizing an inner product value between the eigenvector weighted by the eigenvalue of the voxel to which the 3D corresponding point belongs and a vector generated from a 3D corresponding point, and updating the 3D map data based on the rotation transformation and the translation transformation.