Abstract: Proposed is a method for processing, by one or more processors, data obtained on the basis of detection signals generated by a detector array including a plurality of detector units. The method includes generating, on the basis of the detection signals generated by the detector array, a spatio-temporal data set including a plurality of counting values, wherein each of the plurality of counting values corresponds to one of the plurality of detector units and is addressed to at least one time bin, and generating distance information including a plurality of distance values corresponding to each of the plurality of detector units by processing the spatio-temporal data set.

Abstract: Provided is an object recognition device for performing object recognition on a field of view (FoV). The object recognition device includes a light detection and ranging (LiDAR) data acquisition module configured to acquire data for the FoV from a sensor configured to project the FoV with a laser and receive reflected light, and a control module configured to perform object recognition on an object of interest in the FoV using an artificial neural network, wherein the control module includes a region of interest extraction module configured to acquire region of interest data based on acquired intensity data for the FoV, and an object recognition module configured to acquire object recognition data using an artificial neural network, and recognize the object of interest for the FoV.

Abstract: Provided is an object recognition device for performing object recognition on a field of view (FoV). The object recognition device includes a light detection and ranging (LiDAR) data acquisition module configured to acquire data for the FoV from a sensor configured to project the FoV with a laser and receive reflected light, and a control module configured to perform object recognition on an object of interest in the FoV using an artificial neural network, wherein the control module includes a region of interest extraction module configured to acquire region of interest data based on acquired intensity data for the FoV, and an object recognition module configured to acquire object recognition data using an artificial neural network, and recognize the object of interest for the FoV.