Abstract: Disclosed are 3D LiDAR based target object recognizing method, apparatus, and a mobile object using the same. A target object recognizing method according to an exemplary embodiment of the present invention includes an irradiating step of irradiating laser light to a reference target object; an acquiring step of acquiring LiDAR data generated based on a reflection signal reflected from the reference target object; a learning step of generating a reference map and virtual LiDAR data based on the LiDAR data and determining a weight for recognizing a target object by performing the deep learning based on the virtual LiDAR data; and recognizing a new target object by applying the weight when new LiDAR data with respect to the new target object is acquired.

Abstract: According to the present invention, disclosed are a device and a method of generating an object image, recognizing an object, and learning an environment of a mobile robot which perform a deep learning algorithm which allows a robot to create a map and load environment information acquired during the autonomous movement while the autonomous mobile robot is being charged and may be used for an application which finds out a location by finally recognizing objects such as furniture using a method of checking a location of the recognized objects to mark the location on the map.