The invention provides a method for merging object detection information detected by object detectors by using auto labeling and evaluation based on information exchange (V2X) between a vehicle and the outside. Each of the object detectors corresponds to each camera nearby, and detects objects in each of images generated from each of the cameras by image analysis based on deep learning. The methodincludes steps of: if first to n-th pieces of object detection information are respectively acquired from a first to an n-th object detectors in a descending order of degrees of detection reliabilities, a merging device generating (k-1)-th object merging information by merging (k-2)-th objects and k-th objects through matching operations, and re-projecting the (k-1)-th object merging informationonto an image, by increasing k from 3 to n. The method can be used for a collaborative driving or an HD map update through V2X-enabled applications, sensor fusion via multiple vehicles, and the like.
Method and device for merging object detection information detected by each of object detectors