Samsung Electronics Co., Ltd.

Aron Baik

Du-Sik Park

Yong Ju Jung

Ji Won Kim

Chang-yeong Kim

Inhak Na

Seong-deok Lee

Dohoon Kim

Changsoo Park

Jung-Hoon Park

Chang-soo Park

In-hak Na

Jinwon Kim

Mideum Choi

Seung-sin Lee

Jewoong Ryu

Soonbeom Kwon

Eunsoll Chang

Myung-sik Kim

Chanho Yoon

Woo-Jin Jung

Jung-Gap Kuk

Jin-woo Yoo

Heejun Choi

Myounggon Kim

Mid-eum Choi

Kyunghun Jang

Seungbeom Han

Jinwoo Yoo

Youngil Koh

Seung-Beom Han

Je-woong Ryu

Hyomuk Kim

Keunchan Oh

In-Hak Na

Disclosed are an electronic device and a method for controlling thereof. A method of controlling an electronic device includes identifying a first traveling path heading to a preset destination based on a map corresponding to an environment in which an electronic device operates; identifying an object interfering with traveling according to the first traveling path based on at least one sensor while traveling according to the first traveling path; identifying an avoidance path to avoid the object based on at least one of a location and speed of the identified object and traveling according to the avoidance path; and based on the identified object being distant by a preset distance or more based on traveling according to the avoidance path, controlling the electronic device to travel according to the first traveling path based on a current location of the electronic device.

Electronic device and method for controlling thereof

A robot includes: a sensor configured to sense an environment of the robot; a driver configured to drive movement of the robot; at least one memory; and at least one processor configured to: based on identifying at least one wall through the sensor, control the driver to cause the robot to perform wall following in which the robot travels along the at least one wall, generate a map of an explored area by exploring an area in a vicinity of the robot through the sensor while the robot travels, store information on the generated map in the at least one memory, and based on the robot completing the wall following, control the driver to cause the robot to move to an exploration point in an unexplored area in the vicinity of the robot.

Robot and method for generating map thereby

A robot is provided. The robot includes a driving part, a three dimensional (3D) depth sensor, a memory storing instructions, and a processor connected to the driving part, the 3D depth sensor, and the memory. The processor is configured to execute the instructions to acquire a depth image of a driving surface photographed by the 3D depth sensor while the robot is driving in a space, acquire, based on the acquired depth image, location information of a boundary area where tilt information of the driving surface is changed, acquire type information corresponding to an outside area of the boundary area based on the acquired location information of the boundary area and the changed tilt information, and control the driving part based on the acquired type information.

Robot and controlling method thereof

A robot includes: a sensor; a driver; a memory storing instructions; and a processor, wherein the processor is configured to execute the instructions to: acquire first scan data including location information of an object around the robot based on a sensing value acquired by the sensor at a first time point, input the first scan data to a neural network model learned to predict scan data to acquire second scan data predicted to be acquired by the robot at a second time point after the first time point, identify a possibility of collision with the object based on location information of the object included in the second scan data; acquire driving data based on the identified possibility of collision; and control the driver based on the acquired driving data.

Robot and method for controlling thereof

Provided are a method, performed by an electronic device, of controlling a vehicle, and an electronic device for the same. A method, performed by an electronic device, of controlling a vehicle includes: transmitting, to an external server communicatively connected to the vehicle, as profile information of the vehicle, sensor information regarding at least one sensor mounted on the vehicle, communication efficiency information of the vehicle, and driving information of the vehicle; receiving, from the external server, precise map data related to at least one map layer selected based on the profile information of the vehicle from among a plurality of map layers that are combined to form a precise map and distinguished according to attributes thereof; and controlling the vehicle to perform autonomous driving by using the received at least one precise map data.

Electronic device and vehicle control method of electronic device, server and method for providing precise map data of server

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

A robot may include a LiDAR sensor, and a processor configured to acquire, based on a sensing value of the LiDAR sensor, a first map that covers a space where the robot is located, detect one or more obstacles existing in the space based on the sensing value of the LiDAR sensor, acquire a number of times that each of a plurality of areas in the first map is occupied by the one or more obstacles, based on location information of the one or more obstacles, determine an obstacle area based on the number of times that each of the plurality of areas is occupied by the one or more obstacles, and acquire a second map indicating the obstacle area on the first map to determine a driving route of the robot based on the second map.

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 vehicle is provided. The vehicle includes a light detection and ranging (LiDAR) sensor to acquire point cloud information for each channel on a surrounding ground of the vehicle by using a multichannel laser. The vehicle further includes a communicator to communicate with an external server, and a processor to control the communicator to receive map data from the external server and to determine a position of the vehicle in the map data based on the point cloud information for each channel, acquired through the LiDAR sensor.

Vehicle and method of recognizing position of vehicle based on map

Methods and apparatuses are provided for controlling a vehicle. The vehicle is controlled to operate in an autonomous driving mode in which the vehicle is driven without a manipulation by an operator of the vehicle. A request to switch to a manual driving mode, in which the vehicle is driven with the manipulation by the operator, is received. A range of the manipulation regarding a function of the vehicle is determined according to a driving situation of the vehicle in response to the request. The vehicle is controlled to operate in the manual driving mode in which the manipulation by the operator is limited according to the range of the manipulation.

Method and apparatus for controlling vehicle

A method of estimating a disparity in a multiview image display apparatus includes performing image scaling on an image frame based on a resolution corresponding to the image frame; determining at least one from among a search range and precision of a matching block for the scaled image frame according to the resolution; and estimating a disparity of the image frame by using the at least one from among the search range and the precision of the matching block.

Multiple view image display apparatus and disparity estimation method thereof

A multi-view image display apparatus is provided. The apparatus includes a crosstalk compensator configured to compensate for crosstalk with respect to multi-view images by using a crosstalk matrix defining the crosstalk that occurs between the multi-view images; a tracker configured to track a position of a user's face as a user's position is moved; a controller configured to determine at least two views to be provided as images for user's left and right eyes from among the multi-view images based on the tracked position of the user's face, and to control the crosstalk compensator to compensate for the crosstalk by applying a predetermined weight to the at least two determined views; and a display configured to display the multi-view images of which the crosstalk is compensated.

Multi-view image display apparatus and control method thereof

A conversion method and apparatus with a generating of a depth map for two dimensional (2D)-to-three dimensional (3D) conversion. A depth order may be restored based on a line tracing and an edge map generated from an input image, and a stereo image may be generated using depth information.

Conversion method and apparatus with depth map generation

A depth estimation and conversion apparatus and method is provided. Depth of an video may be estimated by extracting feature information from the input video, and estimating the depth of the input video based on the extracted feature information.

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Seoul, South Korea

Aron Baik