Abstract: The present invention relates to a flash LiDAR sensor using a zoom histogramming time-to-digital converter (TDC). One aspect of the present invention is a LIDAR sensor including a plurality of pixels, in which each of the plurality of pixels includes a TDC using a histogram method, the TDC performs a histogram operation by using M/2 up-down counters (UDCs), the TDC divides a section to be measured into M time bins, and each of the M time bins is allocated to correspond to either an up count or a down count of the M/2 UDCs.
Abstract: Provided are an analog front end (AFE) device for a light-receiving sensor and a method of controlling the AFE device. The AFE device includes a plurality of first signal processors implemented with a n-channel metal oxide semiconductor (NMOS) and a p-channel metal oxide semiconductor (PMOS) on a substrate and configured to output detection signals of photo-detecting devices, and a plurality of second signal processors arranged in a position where the plurality of second signal processors are spaced apart from the plurality of first signal processor, on the substrate and configured to control a dead time of the light-receiving devices.
Abstract: The present invention relates to a Lidar sensor capable of removing background noise and a method of removing the noise of the same, and the Lidar sensor may include: a light reception part configured to sense reflected light reflected from an object; a weight generation part configured to generate a weight based on a sensing rate of the reflected light of the light reception part; a first histogram processing unit configured to perform histogram processing of a sensing signal of the light reception part based on the generated weight, and extract data values greater than or equal to a first reference value from bins of the histogram to firstly remove noise; and a second histogram processing unit configured to accumulate the data values extracted from the first histogram processing unit to perform histogram processing, and extract accumulated data values greater than or equal to a second reference value from bins of the histogram in which the data values are accumulated to secondarily remove the noise.