Samsung Electronics Co., Ltd.

Inhak Na

Myungjin Eom

Aron Baik

Chanwon Seo

Yehoon Kim

Eunseo Kim

Changsoo Park

Taeyoung Kim

Jiyun Seol

Chanhong Kim

Hyunjung Kim

Jaeyoel Kim

Hyunsoo Choi

Heechul Yang

Hyunkwon Chung

Jiyeon Han

Mideum Choi

Sungjin Kim

Taehan Jeon

Jaewook Shin

Changwon Son

Kyuyoun Hwang

Aeran Lim

Junho Rim

Kyunghun Jang

Jewoong Ryu

Jinwoo Yoo

Dongwook Kwon

An electronic device recognizing an object is provided. The electronic device includes a plurality of computing units, a memory, and a processor configured to control at least one of the plurality of computing units such that object information about objects obtained by recognizing the objects existing in a space by using a first recognition model, divide the space into a plurality of subset spaces, based on the object information, determine at least one recognition model, based on characteristic information of each of the subset spaces, assign the determined recognition model to one computing unit, based on characteristic information of each of a plurality of computing units and characteristic information of the determined recognition model, and control the plurality of computing units to perform object recognition by using the determined recognition model and the one computing unit in each of the subset spaces.

Electronic device assigning recognition model to computing unit and operating method thereof

An artificial intelligence (AI) encoding apparatus includes a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to identify an object region of interest in an original image, obtain, from the original image, a plurality of original part images respectively including the object region of interest and a non-interest region, obtain a plurality of first images by performing AI scaling on the plurality of original part images through a scaling neural network (NN) that is configured to operate with NN setting information selected from among a plurality of pieces of NN setting information, at least based on whether the plurality of original part images include the object region of interest or the non-interest region, generate image data by encoding the plurality of first images, and transmit the image data, and AI data including information related to the AI scaling.

Artificial intelligence (AI) encoding apparatus and method and AI decoding apparatus and method for region of object of interest in image

A method, performed by a terminal, of performing artificial intelligence (AI) decoding, including obtaining, based on a first image, image feature information of the first image, the image feature information being related to an image quality degradation; obtaining, based on the image feature information of the first image, neural network (NN) setting information of a first NN, from among NN setting information of a plurality of first NNs which are pre-stored and which correspond to a plurality of image quality degradation types; and obtaining, by using the first NN, a second image in which the image quality degradation is reduced.

Apparatus and method for performing artificial intelligence encoding and artificial intelligence decoding of image

A method of performing object recognition is performed by an electronic device and includes obtaining a spatial map of a space, using a first recognition model, recognizing one or more objects in the space, to obtain first object information of the objects, and dividing the space into a plurality of subset spaces, based on the obtained spatial map and the obtained first object information. The method further includes determining at least one second recognition model to be allocated to each of the plurality of subset spaces into which the space is divided, based on characteristic information of each of the plurality of subset spaces, and using the determined at least one second recognition model allocated to each of the plurality of subset spaces, performing object recognition on each of the plurality of subset spaces, to obtain second object information.

Electronic device for recognizing object and operating method thereof

An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

Electronic apparatus for object recognition and control method thereof

Provided is a method, performed by a first vehicle, of providing detailed map data, the method including collecting first traveling data about a first path using at least one first sensor while the first vehicle is traveling the first path; obtaining first detailed map data corresponding to the first path based on the first traveling data about the first path; and providing the first detailed map data to at least one external device.

Method of providing detailed map data and system therefor

Provided are an electronic device for generating map data and an operating method of the electronic device. The operating method of the electronic device includes: obtaining image data of a first resolution and image data of a second resolution for each of a plurality of nodes generated while the electronic device moves; obtaining location information with respect to each of the generated nodes, by using the image data of the second resolution; generating and storing map data by matching the obtained location information with the image data of the first resolution for each node; and estimating a current location of the electronic device by using the generated map data and the image data of the first resolution.

Electronic device for generating map data and operation method thereof

A moving device and an object detection method thereof are provided. A method, performed by a moving device, of generating a map related to an object in a task space includes radiating at least one sensing signal toward aboveground and underground regions in a vicinity of the moving device, receiving signals reflected from an aboveground object located on a ground in the task space and an underground object located under the ground in the task space, and generating the map indicating distribution of the aboveground object and distribution of the underground object, based on the received reflected signals.

Moving device and object detection method thereof

Provided is an autonomous vehicle including a storage configured to store a map including two-dimensionally represented road surface information and three-dimensionally represented structure information, a camera configured to obtain a two-dimensional (2D) image of a road surface in a vicinity of the vehicle, a light detection and ranging (LiDAR) unit configured to obtain three-dimensional (3D) spatial information regarding structures in a vicinity of the vehicle, and a controller comprising processing circuitry configured to determine at least one of the camera or the LiDAR unit as a position sensor, based on whether it is possible to obtain information regarding the road surface and/or the structures in the vicinity of the vehicle, to identify a position of the vehicle on the map corresponding to a current position of the vehicle using the position sensor, and performing autonomous driving based on the identified position on the map.

Method of determining position of vehicle and vehicle using the same

Provided is a method including detecting at least one external vehicle located within a predetermined distance from a first vehicle using at least one sensor; determining a risk due to the at least one external vehicle based on a type of the at least one external vehicle; and planning a traveling path of the first vehicle based on the risk due to the at least one external vehicle.

Method of planning traveling path and electronic device therefor

A method for a transmitter of a mobile communication system transmitting and receiving signals according to an embodiment of the present specification comprises the steps of: transmitting to a receiver system information for transmitting a signal to the receiver including a connection between a wireless resource and a transmitting antenna; transmitting a reference signal to the receiver based on the system information; and receiving from the receiver feedback information generated based on the reference signal. According to an embodiment of the present specification, in a beamforming transmission method of a mobile communication system, a transmitter can determine whether to perform digital pre-coding without advance information from a receiver and can consequently perform a transmission, and can thereby perform lower-overhead and efficient signal transmission/reception.

Growing community of inventors

Suwon-si, South Korea

Inhak Na