Abstract: A system and method include receiving a first beam pattern from an optical source that comprises a plurality of optical beams transmitted towards a target causing different spaces to form between each optical beam. The system and method include measuring a vertical angle between at least two of the optical beams along a first axis and calculating a second beam pattern based on the vertical angle and a pivot point that causes the optical beams to be transmitted towards the target with substantially uniform spacing. The system and method include adjusting, at the pivot point, one or more components to form the second beam pattern to adjust the plurality of different spaces to the substantially uniform spacing for transmission towards the target. The system and method include receiving return optical beams from the target to produce a plurality of points to form the point cloud.

Abstract: Detecting position information related to a face, and more particularly to an eyeball in a face, using a detection and ranging system, such as a Radio Detection And Ranging (“RADAR”) system, or a Light Detection And Ranging (“LIDAR”) system. The position information may include a location of the eyeball, translational motion information related to the eyeball (e.g., displacement, velocity, acceleration, jerk, etc.), rotational motion information related to the eyeball (e.g., rotational displacement, rotational velocity, rotational acceleration, etc.) as the eyeball rotates within its socket.

Abstract: A system uses range and Doppler velocity measurements from a lidar system and images from a video system to estimate a six degree-of-freedom trajectory of a target. The system estimates this trajectory in two stages: a first stage in which the range and Doppler measurements from the lidar system along with various feature measurements obtained from the images from the video system are used to estimate first stage motion aspects of the target (i.e., the trajectory of the target); and a second stage in which the images from the video system and the first stage motion aspects of the target are used to estimate second stage motion aspects of the target. Once the second stage motion aspects of the target are estimated, a three-dimensional image of the target may be generated.

Abstract: The LiDAR system includes a coherent receiver disposed in a reference path. The coherent receiver includes a 90° optical hybrid to receive a portion of an optical beam along the reference path and a local oscillator (LO) signal to generate multiple output signals. The coherent receiver includes a first photodetector to receive a first and a second output signal to generate a first mixed signal, and a second photodetector to receive a third and a fourth output signal to generate a second mixed signal. The LiDAR system further includes a processor to combine the first mixed signal and the second mixed signal to generate a combined reference signal to suppress a negative image of a reference beat frequency signal to estimate a phase noise of the optical source to determine range and velocity information of the target.

Abstract: A system uses range and Doppler velocity measurements from a lidar system and images from a video system to estimate a six degree-of-freedom trajectory of a target and generate a three-dimensional image of the target. The system may refine the three-dimensional image by reducing the stochastic components in the transformation parameters between video frame times.

Abstract: A light detection and ranging (LiDAR) core is provided that transmits optical beams, and detects return optical beams. The transmitted optical beams are antiphase chirps that sweep a frequency band, and the sweep of the antiphase chirps includes multiple sub-sweeps over respective sub-bands of the frequency band. The system routes the transmitted optical beams that are launched towards a target, and receives light incident upon the target into the return optical beams. The system simultaneously measures and thereby produces multiple simultaneous measurements of first and second beat frequencies per sweep of the antiphase chirps, from the transmitted and returned optical beams, and includes a simultaneous measurement of the first and second beat frequencies per sub-sweep of the multiple sub-sweeps. And the system determines a range and velocity of the target from the multiple simultaneous measurements of the first and second beat frequencies per sweep of the antiphase chirps.

Abstract: An optical sub-assembly includes a diode submount structure, a diode mounted to the diode submount, and a thermoelectric cooler (TEC). The TEC is in thermal contact with the diode, and the diode is positioned between the diode submount structure and the TEC.

Abstract: A system uses range and Doppler velocity measurements from a lidar subsystem and images from a video subsystem to estimate a six degree-of-freedom trajectory of a target. The video subsystem and the lidar subsystem may be aligned with one another by mapping the measurements of various facial features obtained by each of the subsystems to one another.

Abstract: A set of POIs of a point cloud are received at a first filter, where each POI of the set of POIs comprises one or more points. Each POI of the set of POIs is filtered. A set of neighborhood points of a POI is selected. A metric for the set of neighborhood points is computed. Based on the metric, whether to accept the POI, modify the POI, reject the POI, or transmit the POI to a second filter, to extract at least one of range or velocity information related to the target is determined. Provided the POI is accepted or modified, the POI is transmitted to a filtered point cloud; provided the POI is rejected, the POI is prevented from reaching the filtered point cloud; provided the POI is not accepted, modified, or rejected, the POI is transmitted to a second filter.

Abstract: A light detection and ranging (LIDAR) system includes an optical receiver to generate a plurality of data points associated with one or more return beams from a target of the LIDAR system, a processor, and a memory. The memory stores the plurality of data points and stores instructions that cause the LIDAR system to: perform a processing operation on a first data point of the plurality of data points to determine a second data point of the plurality of data points with which to modify the first data point; generate, as output of the processing operation, a first index to a first memory location of the first data point and a second index to a second memory location of the second data point; and generate a point cloud corresponding to the target based on the first data point as modified by the second data point.

Abstract: A light detection and ranging (LIDAR) system to transmit optical beams including at least two up-chirp signals and at least two down-chirp signals toward targets in a field of view of the LIDAR system and receive returned signals of the up-chirp and the down-chirp as reflected from the targets. The LIDAR system generates a baseband signal in a frequency domain of the returned signals of the at least two up-chirp signals and the at least two down-chirp signals. The baseband signal includes a first set of peaks associated with the at least one up-chirp signal and a second set of peaks associated with the at least one down-chirp signal. The LIDAR system determines the target location using the first set of peaks and the second set of peaks.

Abstract: A method of compensation in a light detection and ranging (LIDAR) system. The method includes generating a digitally-sampled target signal. The method also includes compensating for ego-velocity and target velocity in the digitally-sampled target signal based on an estimated ego-velocity and an estimated target velocity to produce a compensated digitally-sampled target signal.

Abstract: A light detection and ranging (LIDAR) system includes an automatic gain control (AGC) unit to reduce the dynamic range, reducing processing power and saving circuit area and cost. The system detects a return beam of a light signal transmitted to a target, having a first dynamic range in a time domain. An analog to digital converter (ADC) generates a digital signal based on the return beam. A processor can perform time domain processing on the digital signal, convert the digital signal from the time domain to a frequency domain, and perform frequency domain processing on the digital signal in the frequency domain. The AGC unit can measure a power of the return beam, and apply variable gain in the frequency domain to reduce a dynamic range of the return beam to a second dynamic range lower than the first dynamic range.

Abstract: An interferometer comprises a plurality of waveguide branches comprising a plurality of bus waveguides and a plurality of photonic resonators. A first waveguide branch of the plurality of waveguide branches comprises a first photonic resonator coupled to a first bus waveguide. The first photonic resonator is disposed to couple and circle a first portion of an optical beam at the first photonic resonator to generate a first phase shift of the first portion of the optical beam, where the first phase shift is the same as a second phase shift of a second photonic resonator coupled to a second bus waveguide.

Abstract: A system uses range and Doppler velocity measurements from a lidar subsystem and images from a video subsystem to estimate a six degree-of-freedom trajectory of a target. The video subsystem and the lidar subsystem may be aligned with one another, and hence calibrated, by determining, for example, a centroid of an iris determined from the lidar subsystem and a centroid of the iris determined from the video subsystem and determining a calibration offset between the two centroids.

Abstract: A light detection and ranging (LIDAR) apparatus includes an optical source to emit an optical beam, and free-space optics coupled with the optical source. The free space optics include a photodetector and other optical components to direct a propagated portion of the optical beam or a reflected portion of the optical beam toward the photodetector as a local oscillator signal, and to transmit the optical beam toward a target environment.

Abstract: A method of operating a light detection and ranging (LIDAR) system is provided that includes generating a beam of co-propagating, cross-polarized light using a first polarizing beam splitter; and determining a material characteristic or orientation of a target using the co-propagating, cross-polarized light.

Abstract: Systems and methods for controlling camera settings of a camera to improve detection of faces in an uncontrolled environment are described. A first image is received from the camera, where the first image is captured by the camera at a first set of camera settings. A face is detected in the first image. The camera is adjusted to a second set of camera settings based on the detected face, where the second set of camera settings different from the first set of camera settings. A second image is received from the camera, where the second image is captured by the camera at the second set of camera settings. The face is detected in the second image. A quality metric of the face in the second image is determined where the quality metric is indicative of an image quality of the face in the second image.

Abstract: A light detection and ranging (LIDAR) system to transmit optical beams including at least up-chirp frequency and at least one down-chirp frequency toward targets in a field of view of the LIDAR system and receive returned signals of the up-chirp and the down-chirp as reflected from the targets. The LIDAR system may perform IQ processing on one or more returned signals to generate baseband signals in the frequency domain of the returned signals during the at least one up-chirp and the at least one down-chirp. The baseband signal includes a first set of peaks associated with the at least one up-chirp frequency and a second set of peaks associated with the at least one down-chirp frequency. The LIDAR system determines the target location using the first set of peaks and the second set of peaks.

Abstract: Techniques for cascade filtering of a set of points of interest (POIs) in a light detection and ranging (LiDAR) system is described. The method includes performing a series of cascaded filtering of a set of points of interest (POIs) in a first point cloud and a second point cloud of the LiDAR system. The method also includes calculating at least a first metric over at least the POI and to make a decision with respect to the second point cloud, and extracting at least one of range and velocity information based on the second point cloud.