Aspects of the present disclosure provide a LIDAR system including an optical source to transmit at least a first beam and a second beam toward a target, respectively at a first original power level and a second original power level. The LIDAR system further includes an optical attenuator adapted to receive each of the first and the second beams disposed between the optical source and one or more optics. The at least one optical attenuator is to receive a controlled voltage to adjust a polarization of at least one of the first beam or the second beam to a first polarization. The first and the second beams are transmitted toward a corresponding local oscillator resident on the LIDAR system, such that an output of the first beam and an output of the second beam transmitted through the local oscillator are balanced to have a substantially equal power level.

Pulsed hyperspectral, fluorescence, and laser mapping imaging in a light deficient environment is disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of a hyperspectral emission, a fluorescence emission, or a laser mapping pattern.

A warning receiver includes an anamorphic lens positioned to receive light within a field-of-view (FOV) defined by first and second angles that are orthogonal to each other and compress the light along the first orthogonal angle into a single line along the second orthogonal angle. A dispersive element is positioned to separate the single line of light into a plurality of wavelengths to produce a two-dimensional light field indexed by the second orthogonal angle and wavelength. A pixelated detector is positioned to receive the light field and readout electrical signals indexed by the second orthogonal angle and wavelength. A processor coupled to the pixelated detector process the electrical signals to detect and characterize an optical source within the FOV.

Aspects of the present disclosure involve a vehicle computer system comprising a computer-readable storage medium storing a set of instructions, and a method for online light detection and ranging (Lidar) intensity normalization. Consistent with some embodiments, the method may include accumulating point data output by a channel of a Lidar unit during operation of an autonomous or semi-autonomous vehicle. The accumulated point data includes raw intensity values that correspond to a particular surface type. The method further includes calculating a median intensity value based on the raw intensity values and generating an intensity normalization multiplier for the channel based on the median intensity value. The intensity normalization multiplier, when applied to the median intensity value, results in a reflectivity value that corresponds to the particular surface type. The method further includes applying the intensity normalization multiplier to the point data output by the channel to produce normalized intensity values.

A method of determining a temporal position of a received signal within a sample series is disclosed. The method includes sampling a sensor at a sampling frequency to generate the sample series. A matched filter set of matched filters is applied to the sample series to generate a matched filter correlation set of matched filter correlations, wherein impulse responses of respective matched filters correspond to a template signal at the sampling frequency of the sensor shifted by a sub-interval shift. The matched filter correlations are evaluated to determine a received signal sub-interval shift. The temporal position of the received signal within the sample series is determined based on at least the received signal sub-interval shift.

Aspects of the present disclosure involve systems, methods, and devices for mitigating Lidar cross-talk. Consistent with some embodiments, a method includes detecting a noise signal producing noise in one or more return signals being received by a Lidar unit of an autonomous vehicle (AV) system, and detecting a noise source corresponding to the noise signal. The detecting of the noise source comprises determining a direction of the noise source relative to the AV system and determining a classification of the noise source based on an intensity of the noise signal. The method further includes generating state data to describe the noise source based on the direction of the noise source relative to AV system and the classification of the noise source. The method further includes controlling one or more operations of the AV system based on the state data describing the noise source.

A lidar system, preferably including one or more transmit modules, beam directors, and/or receive modules, and optionally including one or more processing modules. A method of lidar system operation, preferably including: emitting light beams, receiving reflected light beams, and/or analyzing data associated with the received light beams.

Embodiments are directed to multi-sensor superresolution scanning and capture system. A sensing system may be employed to scan a plurality of paths across objects using beams such that the sensing system includes event sensors and image sensors and such that the image sensors are a higher resolution than the event sensors. The event sensors may be employed to provide events based on detection of the beams that are reflected by the objects. The image sensors may be employed to provide images based on the reflected the beams. Enhanced trajectories may be generated based on a plurality of first trajectories and a plurality of second trajectories such that the plurality of the first trajectories are based on the events and the plurality of paths and such that the plurality of second trajectories are based on the images and the plurality of paths.

To dynamically control power in a lidar system, a controller identifies a triggering event and provides a control signal to a light source in the lidar system adjusting the power of light pulses provided by the light source. Triggering events may include exceeding a threshold speed, being within a threshold distance of a person or other object, an atmospheric condition, identifying residue on a surface of a window of the lidar system, etc. In some scenarios, the power is adjusted to address eye-safety concerns.

Examples described herein provide a method that includes receiving a model corresponding to an assembly. The method further includes defining an object of interest in the model. The method further includes receiving a point cloud generated based on data obtained by scanning the assembly using a laser scanner. The method further includes aligning the point cloud to the model. The method further includes determining whether a component corresponding to the object of interest is located correctly relative to the assembly based at least in part on the point cloud aligned to the model. The method further includes, responsive to determining that the component is not located correctly, taking a corrective action.