A method for analyzing backscatter histogram data in an optical pulse runtime method, including the steps of receiving backscatter histogram data; and analyzing the received backscatter histogram data.

There is provided a method for optically scanning a region according to a plurality of scanning directions, comprising: receiving an interleave sequence defining a scanning order for the plurality of scanning directions; sequentially propagating optical pulses according to the interleave sequence; detecting pulse echoes corresponding to a reflection of the propagated optical pulses on at least one object present within the region; and outputting the detected pulse echoes. There is further described a computer-implemented method for correcting a temporal slippage of an optical echo.

Techniques are described to for improving a resolution of a light detection and ranging (LIDAR) system. A receiver circuit of a LIDAR system can sample a reflection signal from an object in response to a transmitted light pulse. A controller can determine a curve fit to the received samples and, based on a peak value of the curve fit, determine a precise location of the object.

A method for Time-of-Flight (ToF) sensing of a scene is provided. The method includes performing, by a ToF sensor, a plurality of first ToF measurements using a first modulation frequency to obtain first measurement values. A respective correlation function of each of the plurality of first ToF measurements is periodic and exhibits an increasing amplitude over distance within a measurement range of the ToF sensor. The method additionally includes determining a distance to an object in the scene based on the first measurement values.

A computing device triggers a sensor operation. The computing device includes one or more processors and instructions or logic that, when executed by the one or more processors, implements computing functions. The computing device performs receiving timestamps from a sensor, simulating an operation of the sensor, the simulation including predicting orientations of the sensor at different times based on the received timestamps, comparing a latest timestamp of the computing device to a latest timestamp of the sensor, and based on the comparison, triggering a second sensor to perform an operation.

Provided are a pulse laser ranging system and method employing a time domain waveform matching technique. The system comprises a software part and a hardware part. The hardware part comprises an optical collimation system, an FPGA, a filter, a photoelectric conversion system, an analog amplifier circuit, a laser transmitter, a signal combination system, an ADC sampling system and a narrow pulse laser transmitting circuit. When transmitting a control signal to control laser transmission, the FPGA sends a time reference pulse to the signal combination system. The signal combination system integrates the time reference pulse with a fixed amplitude analog echo signal to form an echo signal with a time reference. The echo signal with a time reference is quantified into a digital detection signal in the ADC sampling system. The digital detection signal is sent to the FPGA to undergo data analysis. The software part is used to perform time domain waveform matching analysis to obtain a ranging result. The ranging result is output by the FPGA.

Provided are methods, systems, and computer program products for a LiDAR with an increased dynamic range. The method includes filtering output pulses of an SiPM device to a substantially symmetric pulse shape and capturing timing information and intensity information of the filtered output pulses for at least one predetermined intensity level. The method includes monitoring saturation of the SiPM device, wherein a width of a saturation plateau of a respective output pulse is determined in response to saturation of the SiPM device. The method also includes extrapolating additional timing information and additional intensity information of the respective output pulse using the captured timing information, the captured intensity information, and the determined width of the saturation plateau.

According to one embodiment, an electronic apparatus includes a light source, a detector, an equalizer and a processing circuitry. The light source is configured to emit a pulse having a first output value and a first frequency response. The detector is configured to detect a reflected wave of the pulse and convert the reflected wave to a first electric signal. The reflected wave of the pulse is received after the pulse is reflected by an object. The equalizer is configured to equalize the first electric signal using tap coefficients to generate a second electric signal. The tap coefficients are based on at least either one of the first output value and the first frequency response. The processing circuitry is configured to estimate a distance to the object based on the second electric signal.

A radio wave transceiver system, including: at least one waveguide made of a dielectric material; a transceiver circuit coupled to a first end of each of said at least one waveguide, capable of transmitting and/or of receiving radio waves respectively propagating in said at least one waveguide; and at least one antenna coupled to a second end of said at least one waveguide, capable of transmitting and/or of receiving said waves to/from a non-guided external medium.

A LiDAR system includes alight emitter, a light detector, and a controller. The controller is programmed to: activate the light emitter to emit a series of shots into a field of view of the light detector; activate the light detector to detect shots reflected from an object in the field of view; determine the size of a subset of the series of shots to be recorded based on a distance of the object from the light detector; and record the subset of the series of shots.