Abstract: An apparatus for classifying an image according to an embodiment includes a fake image generation module receiving a classification target image and a fake image in a form in which only a background exists and no specific object exists in the classification target image, a difference of images vector generation module generating a difference of images between the classification target image and the fake image and a difference of images vector by converting the generated difference of images into preset one-dimensional matrix data, a difference of feature vectors generation module generating a difference of feature vectors between a feature vector generated based on the classification target image and a feature vector generated based on the fake image, and an image classification module classifying the classification target image based on the difference of images vector, the feature vector generated based on the classification target image, and the difference of feature vectors.

Abstract: An autonomous driving module included in a mobile robot includes a distance sensor configured to shoot a signal toward a floor every predetermined time and measure the time it takes for the signal to be reflected and returned to generate a plurality of pieces of height information. A light source is configured to emit light toward the floor, and a camera is configured to capture the floor every predetermined time to generate a plurality of floor images. The autonomous driving module includes a processor configured to execute instructions and a memory configured to store the instructions. The instructions are implemented to synchronize the plurality of pieces of height information with the plurality of floor images, and remove a region generated by reflection of the light source from the synchronized floor images.

Abstract: An apparatus for classifying an image according to an embodiment includes a fake image generation module receiving a classification target image and a fake image in a form in which only a background exists and no specific object exists in the classification target image, a difference of images vector generation module generating a difference of images between the classification target image and the fake image and a difference of images vector by converting the generated difference of images into preset one-dimensional matrix data, a difference of feature vectors generation module generating a difference of feature vectors between a feature vector generated based on the classification target image and a feature vector generated based on the fake image, and an image classification module classifying the classification target image based on the difference of images vector, the feature vector generated based on the classification target image, and the difference of feature vectors.

Abstract: A method is performed by a computing device including one or more processors and a memory that stores one or more programs executed by the one or more processors and includes acquiring a three-dimensional (3D) map of an interior, generating an occupancy height map by stacking spatial value histograms in a height direction while projecting the 3D map of the interior on a two-dimensional (2D) plane, and removing noise caused by a mobile object which moves in the interior from the occupancy height map.

Abstract: A localization system is installed in a transportation device and includes an inertial measurement device configured to generate inertial data by measuring inertia resulting from movement of the transportation device when the transportation device moves, an imaging device configured to generate captured images by photographing surroundings of the transportation device when the transportation device moves, and a location analysis device configured to measure a moved location of the transportation device on the basis of the inertial data and at least one of the captured images.