The present disclosure provides a laser rangefinder including a micro control unit, a power supply, a transmitter, a receiver, a light emitting module and a display unit, wherein the power supply, the transmitter, the receiver, the light emitting module and the display unit are electrically connected with the micro control unit, and the light emitting module includes a photosensitive element, a light emitting element and an LED control board.

A proximity sensing device is disclosed comprising: a radiation emitter; a radiation sensor configured to sense a reflected radiation from the radiation emitter; a memory for storing a plurality of ambient radiation level ranges and a plurality of coefficients that map onto the plurality of ambient radiation level ranges; and processing circuitry configured to compensate an output from the radiation sensor for crosstalk by subtracting from the output a measured ambient radiation level scaled by either: a coefficient selected from the plurality of coefficients; or a value derived from the plurality of coefficients. A proximity sensing method and a proximity sensing calibration method are also disclosed.

A sensing system. In some embodiments, the system includes a first imaging radio frequency receiver, a second imaging radio frequency receiver, a first optical beam combiner, a first imaging optical receiver, a second optical beam combiner, and an optical detector array. The first optical beam combiner may be configured to combine optical signals of the imaging radio frequency receivers. The second optical beam combiner may be configured to combine the optical signals of the imaging radio frequency receivers, and the optical signal of the first imaging optical receiver.

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures a plurality of dimensions of a landscape based upon processor analysis of the LIDAR data; builds a 3D model of the landscape based upon the measured plurality of dimensions, the 3D model including: (i) a structure, and (ii) a vegetation; and displays a representation of the 3D model.

A method is provided that involves mounting a transmit block and a receive block in a LIDAR device to provide a relative position between the transmit block and the receive block. The method also involves locating a camera at a given position at which the camera can image light beams emitted by the transmit block and can image the receive block. The method also involves obtaining, using the camera, a first image indicative of light source positions of one or more light sources in the transmit block and a second image indicative of detector positions of one or more detectors in the receive block. The method also involves determining at least one offset based on the first image and the second image. The method also involves adjusting the relative position between the transmit block and the receive block based at least in part on the at least one offset.

A method is provided that involves mounting a transmit block and a receive block in a LIDAR device to provide a relative position between the transmit block and the receive block. The method also involves locating a camera at a given position at which the camera can image light beams emitted by the transmit block and can image the receive block. The method also involves obtaining, using the camera, a first image indicative of light source positions of one or more light sources in the transmit block and a second image indicative of detector positions of one or more detectors in the receive block. The method also involves determining at least one offset based on the first image and the second image. The method also involves adjusting the relative position between the transmit block and the receive block based at least in part on the at least one offset.

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives light detection and ranging (LIDAR) data generated from a LIDAR camera; receives preexisting utility line data; and determines a location of the utility line based upon: (i) the received LIDAR data, and (ii) the received preexisting utility line data.

Vehicles systems for predicting a trajectory of an object proximate to vehicles are disclosed. A vehicle system includes one or more sensors, one or more processors communicatively coupled to the one or more sensors, a memory module communicatively coupled to the one or more processors, and machine readable instructions stored in the memory module. The machine readable instructions, when executed by the processor, cause the system to: detect an object based on one or more signals output by the one or more sensors; classify the object into an object classification; predict a trajectory of the object based on at least one behavior characteristic of the object determined from a model corresponding to the object classification; predict a trajectory of the vehicle; and provide a warning when the detected object is likely to move from a non-obstacle position to an obstacle position based on the predicted trajectories of the object and the vehicle.

Doppler correction of phase-encoded LIDAR includes a code indicating a sequence of phases for a phase-encoded signal, and determining a first Fourier transform of the signal. A laser optical signal is used as a reference and modulated based on the code to produce a transmitted phase-encoded optical signal. A returned optical signal is received in response. The returned optical signal is mixed with the reference. The mixed optical signals are detected to produce an electrical signal. A cross spectrum is determined between in-phase and quadrature components of the electrical signal. A Doppler shift is based on a peak in the cross spectrum. A device is operated based on the Doppler shift. Sometimes a second Fourier transform of the electrical signal and the Doppler frequency shift produce a corrected Fourier transform and then a cross correlation. A range is determined based on a peak in the cross correlation.

A polygon mirror includes a plurality of reflection surfaces formed in a circumference surface of the polygon mirror at equal intervals, and a surface processed part that reflects incident laser light to form a fan beam spreading in a predetermined direction, and the surface processed part being provided in each of the reflection surfaces.