Aspects of the present disclosure relate to depth sensing using a device. An example device includes a light projector configured to project light in a first and a second distribution. The first and the second distribution include a flood projection when the device operates in a first mode and a pattern projection when the device operates in a second mode, respectively. The example device includes a receiver configured to detect reflections of light projected by the light projector. The example device includes a processor connected to a memory storing instructions. The processor is configured to determine first depth information based on reflections detected by the receiver when the device operates in the first mode, determine second depth information based on reflections detected by the receiver when the device operates in the second mode, and resolve multipath interference (MPI) using the first depth information and the second depth information.

Aspects of the present disclosure relate to depth sensing using a device. An example device includes a light projector configured to project light in a first and a second distribution. The first and the second distribution include a flood projection when the device operates in a first mode and a pattern projection when the device operates in a second mode, respectively. The example device includes a receiver configured to detect reflections of light projected by the light projector. The example device includes a processor connected to a memory storing instructions. The processor is configured to determine first depth information based on reflections detected by the receiver when the device operates in the first mode, determine second depth information based on reflections detected by the receiver when the device operates in the second mode, and resolve multipath interference (MPI) using the first depth information and the second depth information.

What is disclosed are systems and methods for measurement, pre-distortion, and linearization of FMCW (Frequency Modulated Continuous Wave) LiDAR chirped laser signals, in which I/Q channels of an IF optical signal of a combination of delayed and undelayed versions of the laser signal are generated and used in the process of pre-distorting waveform data for linearization.

What is disclosed are systems and methods for measurement, pre-distortion, and linearization of FMCW (Frequency Modulated Continuous Wave) LiDAR chirped laser signals, in which I/Q channels of an IF optical signal of a combination of delayed and undelayed versions of the laser signal are generated and used in the process of pre-distorting waveform data for linearization.

Apparatus for optical sensing includes first matrix of optical sensing elements, arranged on a semiconductor substrate in rows and columns. A second matrix of storage nodes is arranged on the substrate such that respective first and second storage nodes in the second matrix are disposed in proximity to each of the sensing elements within the first matrix. Switching circuitry couples each of the sensing elements to transfer photocharge to the respective first and second storage nodes. Control circuitry controls the switching circuitry in a depth sensing mode such that over a series of detection cycles, each of the sensing elements and a first neighboring sensing element are connected together to the respective first storage node during the first detection interval, and each of the sensing elements and the second neighboring sensing element are connected together to the respective second storage node during the second detection interval.

The present invention is directed to lidar systems and methods thereof. More specifically, a lidar receiver converts received light signal to electrical signal. The electrical signal is converted to digital signal. Fast Fourier transform is performed on the digital signal to generate n channels of data. Constant false alarm rate detection is performed to generate n data sets, which is grouped into m clusters of data. Maximum likelihood detection is performed on the m clusters of data.

A method of reduce the impact of noise on a depth image produced using a Time Of Flight (TOF) camera uses an infrared image produced from one or more phase-specific images captured by the TOF camera to determine whether to move pixels in the depth image from one phase section to another.

A method to compensate for phase impairments in a light detection and ranging (LIDAR) system includes transmitting a first optical beam towards a target, receiving a second optical beam from the target to produce a received optical beam; and generating a digitally-sampled target signal using a local oscillator (LO) beam, a first photo-detector and the received optical beam. The method also includes generating a digitally-sampled reference signal using a reference beam transmitted through a fiber delay device and a second photo-detector, and estimating one or more phase impairments in the LiDAR system using the digitally-sampled reference signal to produce one or more estimated phase impairments. The method also includes performing a first correction on a first phase impairment introduced into the digitally-sampled target signal by the LO beam; performing a second correction on a second phase impairment introduced into the digitally-sampled target signal by the received optical beam.

There is provided a distance measurement device including a light source, a light detector, a time control circuit and a processor. In first measurement, the time control circuit controls the light source to illuminate at a low modulation frequency, and the processor calculates a rough flying time according to a first detection signal of the light detector to determine an operating phase zone and a delay time. In second measurement, the time control circuit controls the light source to illuminate at a high modulation frequency and causes a light driving signal of the light source and a detecting control signal of the light detector to have a difference of the delay time, and the processor calculates a fine flying time according to a second detection signal of the light detector.

There is provided a distance measurement device including a light source, a light detector, a time control circuit and a processor. In first measurement, the time control circuit controls the light source to illuminate at a low modulation frequency, and the processor calculates a rough flying time according to a first detection signal of the light detector to determine an operating phase zone and a delay time. In second measurement, the time control circuit controls the light source to illuminate at a high modulation frequency and causes a light driving signal of the light source and a detecting control signal of the light detector to have a difference of the delay time, and the processor calculates a fine flying time according to a second detection signal of the light detector.