Abstract: A LiDAR system having two-dimensional transmitter array is provided. The LiDAR system comprises a light scanner, and a plurality of transmitter groups optically couplable to the light scanner. Each transmitter group of the plurality of transmitter groups comprises a plurality of transmitters. At least two transmitter groups of the plurality of transmitter groups are disposed at different positions with respect to the light scanner, such that scanning areas corresponding to the at least two transmitter groups are different. The LiDAR further comprises a control device configured to selectively control one or more of the plurality of transmitter groups to emit transmission beams toward the light scanner. The light scanner is configured to steer the transmission beams both vertically and horizontally to a field-of-view (FOV), and receive return light formed based on the steered transmission beams.

Abstract: A method for dynamically calibrating a light detector of a light detection and ranging (LiDAR) system is disclosed. The method comprises obtaining an indication for use. The method further comprises determining, based on the indication, whether to perform the calibration of the light detector operating with a first bias voltage. The method further comprises, in accordance with a determination to perform the calibration, initiating a multiple-point calibration of the light detector across a bias voltage scanning range, wherein the multiple-point calibration comprises determining a second bias voltage corresponding to a current temperature in an operating environment of the light detector. The method further comprises determining, based on the multiple-point calibration, whether to update the first bias voltage based on the second bias voltage.

Abstract: A Light Detection and Ranging (LiDAR) system is disclosed. The LiDAR system comprises a light source configured to provide transmission light signals in a plurality of firing cycles. The LiDAR system comprises a detector configured to detect return signals formed based on the transmission light signals. The LiDAR system comprises an analog-to-digital converter (ADC) configured to obtain ADC data representing the detected return signals. The LiDAR system further comprises one or more processors and memory device, and processor-executable instructions stored in the memory device. The processor-executable instructions can cause the one or more processors to perform: determining a multiple-point time window using the ADC data; based on the multiple-point time window, determining an offset of the ADC data; at least partially correcting the ADC data based on the offset; and providing the corrected ADC data for constructing a point cloud representing an external environment of the LiDAR system.

Abstract: A system for determining a probability of normal rectal tissue composition within a region of interest of an ultrasound or photoacoustic image of the rectal tissue is disclosed. The system includes a computing device with at least one processor configured to receive at least one of a photoacoustic image and an ultrasound image; select a region of interest within the at least one of a photoacoustic image and an ultrasound image; transform the region of interest into the probability of normal rectal tissue composition using a CNN model; and display the probability of normal rectal tissue composition to an operator of the system.