Abstract: A light detection and ranging (LIDAR) system transmits, towards a target, a set of chirp signals. The LIDAR system receives from the target, a set of adjusted chirp signals. The LIDAR system then determines, based on the set of adjusted chirp signals, a degree of ghosting mitigation to compensate for a ghost target appearing in a point cloud at a location where no real target exists.

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: 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 frequency modulated continuous wave (FMCW) light detection and ranging (LIDAR) system includes a processor and a memory. The memory stores instructions that, when executed by the processor, cause the system to: generate subbands in a frequency domain based on a range-dependent time domain baseband signal, classify each subband into a subband type, select processing parameters for each subband based on the respective subband type, and process each of the subbands using the selected processing parameters for the subband.

Abstract: A system and method for detecting a potential match between a candidate facial image and a dataset of facial images is described. Some implementations of the invention determine whether a candidate facial image (or multiple facial images) of a person taken, for example, at point of entry corresponds to one or more facial images stored in a dataset of persons of interest (e.g., suspects, criminals, terrorists, employees, VIPs, “whales,” etc.). Some implementations of the invention detect potential fraud in a dataset of facial images. In a first form of potential fraud, a same facial image is associated with multiple identities. In a second form of potential fraud, different facial images are associated with a single identity, as in the case, for example, of identity theft. According to various implementations of the invention, spectral clustering techniques are used to determine a likelihood that pairs of facial images (or pairs of facial image sets) correspond to the person or different persons.

Abstract: A system including an optical scanner to transmit an optical beam towards an object. The system includes a first optical element to receive a returned reflection having a lag angle; and direct the returned reflection to generate a first directed beam. The system includes a beam directing unit to receive the first directed beam; and direct, based on a first array voltage, the first directed beam to generate a second directed beam at a first location on a different optical element. The beam directing unit to direct, based on a second array voltage, the second steered beam from the first location on the different optical element to a second location on the different optical element to compensate for the lag angle.

Abstract: Free-space optics for use in a light detection and ranging (LIDAR) apparatus include a polarization beam-splitter (PBS) to direct an optical beam in a first direction toward a target environment and to propagate a portion of the optical beam in a second direction for receipt by a photodetector (PD), a polarization wave plate (PWP) to convert the optical beam from a first polarization to a second polarization, and to convert the target return signal from a third polarization to a fourth polarization, and a lens system coupled between the PBS and the PWP to magnify the optical beam. The propagated portion of the optical beam comprises a local oscillator (LO) signal to mix with a target return signal to generate target information.

Abstract: A method includes transmitting a plurality of optical beams towards a plurality of targets, receiving a plurality of return signals based on reflections of the plurality of optical beams from the plurality of targets, and generating a first plurality of peaks each associated with a different up-chirp frequency of the plurality of optical beams and a second plurality of peaks each associated with a different down-chirp frequency of the plurality of optical beams. The method further includes determining peak shape similarities between each of the first plurality of peaks and the second plurality of peaks, pairing each peak of the first plurality of peaks with a peak of the second plurality of peaks based on the peak shape similarities, and identifying the plurality of targets based on the pairing.

Abstract: A light detection and ranging (LIDAR) system is provided that includes a first optical source and a second optical source configured to emit respectively a first optical beam and a second optical beam that are nondegenerate and are chirped antiphase, lensing optics to direct the first and second optical beams toward a target, and collect a first return signal and a second return signal, and a first optical detector and a second optical detector configured to generate a first signal from the first return signal mixed with a first local oscillator and a second signal from the second return signal mixed with the second local oscillator.

Abstract: A light detection and ranging (LIDAR) system including a processor to receive a return signal from a target based on an optical beam transmitted towards the target and receive a baseband signal in a time domain based on the return signal. The processor of the LIDAR system further to produce a comparison of signal peaks of the baseband signal with an estimate of LIDAR system noise in the frequency domain, and identify targets based on the comparison.

Abstract: A return signal from a target is received based on an optical beam from an optical source of a LiDAR system. The return signal is sampled and converted to a frequency domain, where the return signal comprises a first frequency waveform. A matched filter is selected, where the matched filter comprises a second frequency waveform to match the first frequency waveform. The matched filter is updated by updating a set of coefficients of the second frequency waveform. The return signal is filtered by the updated matched filter to generate a filtered return signal to extract range and velocity information of the target.

Abstract: A light detection and ranging (LIDAR) apparatus including free space optics to combine a target signal and a local oscillator signal to generate a combined signal. The LIDAR system also includes a set of multi-mode (MM) waveguides and a demultiplexer including a dispersive element. The demultiplexer configured to disperse, via the dispersive element, each respective wavelength of the combined signal at a corresponding angle, and reflect each respective wavelength of the combined signal to a corresponding MM waveguide of the set of MM waveguides.

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 light detection and ranging (LIDAR) system to generate a baseband signal in the time domain from the return signal, where the baseband signal includes frequencies corresponding to LIDAR target ranges; and a signal processing system coupled with the optical processing system to measure energy of the baseband signal in the frequency domain, to compare the energy to an estimate of LIDAR system noise, and to determine a likelihood that an signal peak in the frequency domain indicates a detected target.

Abstract: A light detection and ranging (LIDAR) system has a passive modulator to modulate a light signal from an optical source with a low-power mode at a section of a sweep signal to generate a pulsed light signal transmitted towards a target. The LIDAR system has a photodetector to receive a return beam from the target with an amplitude modulated (AM) signal portion and a frequency modulated (FM) signal portion. The LIDAR system determines a target range value for the target based on the AM signal portion and determines a target velocity value for the target based on the FM signal portion.

Abstract: Embodiments of the present disclosure include method for sequentially mounting multiple semiconductor devices onto a substrate having a composite metal structure on both the semiconductor devices and the substrate for improved process tolerance and reduced device distances without thermal interference. The mounting process causes “selective” intermixing between the metal layers on the devices and the substrate and increases the melting point of the resulting alloy materials.

Abstract: A light detection and ranging (LIDAR) apparatus is provided that includes a dispersive element and an optical circuit. The optical circuit is to emit a first optical beam having a first frequency and a second optical beam having a second frequency towards the dispersive element to deflect the first optical beam and the second optical beam based on a frequency.

Abstract: A light detection and ranging (LIDAR) system is provided that transmits optical beams and detects return optical beams. The optical beams are frequency modulated with sweeps of a frequency band to produce chirps, each sweep being divisible into multiple sub-sweeps. Multiple simultaneous measurements of first and second beat frequencies are made per sweep produce chirps from the transmitted optical beams and the return optical beams. A signal processor is configured to determine a range and velocity of a target from the multiple simultaneous measurements. At least one of the sweeps is used to produce a custom simultaneous measurement of the beat frequencies for a custom sub-sweep. A custom sub-sweep value of range and velocity is determined from the custom simultaneous measurement, there being at least the sweep value and the custom sub-sweep value of range and velocity for the at least one of the multiple sweeps.

Abstract: A light detection and ranging (LiDAR) system according to the present disclosure comprises an optical circulator and one or more photodetectors (PDs). The optical circulator is to transmit the target return signal to the one or more PDs, where the one or more PDs are to mix the target return signal with a local oscillator (LO) signal to generate a signal to extract information of the target.

Abstract: A system and method including, predicting a first set of Doppler velocity information for a first point set to produce a first predicted set of Doppler velocity information for the first point set; determining one or more Doppler velocity errors based on the first predicted set of Doppler velocity information and a second set of Doppler velocity information; predicting a third set of Doppler velocity information for the second point set to produce a second predicted set of Doppler velocity information for the second point set; determining one or more Doppler velocity errors based on at least one of the second predicted set of Doppler velocity information and a fourth set of Doppler velocity information; and producing a transform that aligns the one or more points of the first point set with the one or more points of the second point set.