A distance measurement processing device according to an embodiment includes an information acquisition circuit and a reliability-degree generation circuit. The information acquisition circuit acquires a two-dimensional distance image having a measured distance as a pixel value and signal information concerning a signal value corresponding to the measured distance image. The reliability-degree generation circuit sets, for each of the pixels of the two-dimensional distance image, each of the pixels as a center pixel and generates a reliability degree based on information concerning the pixels having distance values equal to or smaller than a predetermined value from a distance value of the center pixel among the pixels contiguous within a predetermined range from the center pixel and a signal value corresponding to the center pixel.

A system includes a target illumination laser (TIL) configured to illuminate an airborne target with a TIL beam. The system also includes a beacon illuminator (BIL) configured to transmit a spot of illumination to an expected location on the target, wherein the spot of illumination is more focused than the TIL beam. The system also includes a camera configured to receive an image of the spot reflected off the target. The system also includes a controller configured to determine an actual location of the spot on the target based on the received image. The controller is also configured to estimate a spot motion by correlating the actual location of the spot on the target with the expected location on the target. The controller is also configured to predict uplink jitter of a high energy laser (HEL) beam generated by a HEL based on the BIL spot motion, the uplink jitter caused by atmospheric optical turbulence.

A method and system for locating a high-intensity target light source (26) from an elevated observation location (Po), for instance in an aircraft. The target light source is located at/near an earth surface portion (30) and amongst reference light sources (16, 24, 25) arranged along the surface portion. This target light source emits light (28) with a peak radiant intensity that exceeds the intensity of the reference light sources by at least one order of magnitude. The method includes: acquiring, with an image recording device located at the observation location, images of the light and light emitted the reference light sources; comparing the images and a digital ground map (50) that includes representations of the surface portion and of structures (20, 22) associated with the reference light sources, and estimating a location (Pt) of the target light source relative to the reference light sources, based on the comparison.

Embodiments of the disclosure provide receivers for light detection and ranging (LiDAR). In an example, a receiver includes a beam converging device, an AO beam deflecting unit, and a beam sensor. 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 AO beam deflecting unit is configured to generate a diffraction grating along a propagating direction of an acoustic wave, receive the input laser beam such that the input laser beam impinges upon the diffraction grating, and form an output laser beam towards the beam sensor. An angle between the input and the output laser beams is nonzero.

Embodiments of the disclosure provide receivers for light detection and ranging (LiDAR). In an example, a receiver includes an acousto-optical (AO) beam deflecting unit configured to receive an input laser beam and a controller configured to cause an acoustic signal to be applied to the AO beam deflecting unit to deflect the input laser beam for a deflection angle and form an output laser beam towards a beam sensor. The deflection angle between the input and the output laser beams is nonzero.

A computer implemented scheme for a light detection and ranging (LIDAR) system where point cloud feature extraction and segmentation by efficiently is achieved by: (1) data structuring; (2) edge detection; and (3) region growing.

Apparatuses, systems and methods are disclosed for reducing interference between an active illumination device and external radiation sources, for example, other active illumination devices operating within the vicinity. A disclosed system includes one or more active illumination devices, each configured to emit an illumination signal and also to receive a returned portion of its respective illumination signal with at least one sensor. At least one of the active illumination devices is capable of detecting interference caused by an external source, for example, an illumination signal emitted from another active illumination device. As a result of detecting the interference, the receiving active illumination device changes the timing of its subsequent illumination signals and sensor operation. By detecting collisions between illumination signals and consequently altering the timing of it operation, the active illumination device may reduce interference in congested environments where multiple active illumination devices are operating within range of each other.

Systems, apparatuses and methods may provide for technology that initiates one or more optical pulses in accordance with a first emission pattern, obtains a second emission pattern in response to one or more of a time-variable trigger or a deviation of one or more received optical reflections from an expected reflection pattern, and initiates one or more optical pulses in accordance with the second emission pattern. Moreover, infrastructure node technology may detect, based on an interference notification from a first sensor platform, a deviation of received optical reflection(s) from an expected reflection pattern, select emission parameter(s) in response to the deviation, and alter a first emission pattern with respect to the selected emission parameter(s) to obtain a second emission pattern.

A LIDAR system, preferably including one or more: optical emitters, optical detectors, beam directors, and/or processing modules. A method of LIDAR system operation, preferably including: determining a signal, outputting the signal, receiving a return signal, and/or analyzing the return signal.

Aspects of the present disclosure involve systems, methods, and devices for mitigating Lidar cross-talk. Consistent with some embodiments, a Lidar system is configured to include one or more noise source detectors that detect noise signals that may produce noise in return signals received at the Lidar system. A noise source detector comprises a light sensor to receive a noise signal produced by a noise source and a timing circuit to provide a timing signal indicative of a direction of the noise source relative to an autonomous vehicle on which the Lidar system is mounted. A noise source may be an external Lidar system or a surface in the surrounding environment that is reflecting light signals such as those emitted by an external Lidar system.