Lg Electronics Inc.

Sk Telecom Company, Ltd.

Lg Display Co., Ltd.

Lg Etectronics Inc.

Taekyeong Lee

Dongki Noh

Seungwook Lim

Seungmin Baek

Inbo Shim

Gyuho Eoh

Seongsoo Lee

In accordance with an aspect of the present disclosure, there is provided an apparatus for estimating a location of a vehicle including, a communication unit configured to receive, from an information providing vehicle, identification information and location information on a driving vehicle in a vicinity of the information providing vehicle, a weighted value obtaining unit configured to obtain a weighted value representing accuracy of the location information based on the received identification information and a location estimating unit configured to estimate a location of the driving vehicle by applying the weighted value to the location information.

Apparatus and method for estimating location of vehicle

A method of controlling a mobile robot includes a first basic learning process of generating a first basic map based on environment information acquired in a traveling process, a second basic learning process of generating a second basic map based on environment information acquired in a separate traveling process, and a merging process of merging the first basic map and the second basic map to generate a merged map.

Method of controlling mobile robot

In accordance with an aspect of the present disclosure, there is provided a method of calibrating a camera for a vehicle, comprising: obtaining attitude angle information of the vehicle by using a traveling direction of the vehicle obtained based on a satellite signal, and a vertical direction from ground obtained based on a high definition map; obtaining attitude angle information of the camera mounted on the vehicle by matching an image captured by the camera to the high definition map; and obtaining coordinate system transformation information between the vehicle and the camera by using the attitude angle information of the vehicle and the attitude angle information of the camera.

Device and method for calibrating camera for vehicle

A method of controlling a mobile robot includes a learning initial operation of acquiring images for respective points, generating descriptors that respectively correspond to a plurality of feature points extracted from the images, and generating nodes that correspond to the images acquired at the respective points, a label generation operation of generating a label descriptor based on the plurality of descriptors, a localization initial operation of acquiring a localization image when a jumping case occurs, and generating respective localization descriptors corresponding to a plurality of localization feature points extracted from the localization image, a comparison target selection operation of matching the label descriptor to each of the localization descriptors and selecting one or more comparison target nodes corresponding to the matched label descriptor, and a last node selection operation of selecting a node estimated as the current position among the one or more comparison target node.

Mobile robot and method of controlling the same

A method of controlling a moving-robot includes creating a plurality of maps having different generation-time information through a plurality of driving processes; choosing any one of the plurality of maps according to a certain map choosing algorithm based on current time information and the generation-time information, and attempting location recognition based on the chosen map.

Moving robot and control method for the same

The present invention relates to a moving robot capable of recognizing a position on a map and a control method of the moving robot, and the moving robot according to the present invention includes: a travel drive unit configured to move a main body; an image acquisition unit configured to acquire images of surroundings; and a controller configured to recognize a current position. The controller is further configured to separate the travel area by the predetermined criterion into a plurality of large areas, into which the plurality of small areas is grouped; compute each large area feature distribution and the at least one recognition descriptor by a predetermined superordinate estimation rule to select a large area in which the current position is included; and compute the small area feature distribution and the at least one recognition descriptor by the predetermined estimation rule to select a small area, in which the current position is included, from among a plurality of small areas included in the selected large area. The control method according to the present invention includes: a learning process of learning a travel area to generate a map and separating the travel area into a plurality of small areas by a predetermined criterion; and a recognition process of selecting a current position on the map. The recognition process includes: a recognition descriptor generation process of acquiring an image of the current position, extract at least one recognition feature from the acquired image, and generating a recognition descriptor corresponding to the at least one recognition feature. The recognition process includes: a large area selection process of computing each large area feature distribution and the at least one recognition descriptor by a predetermined superordinate estimation rule to select a large area in which the current position is included.

Mobile robot and mobile robot control method

An organic light-emitting display device can include an organic light-emitting element; a driving transistor connected in series with the organic light-emitting element, the driving transistor and the organic light-emitting element being between a first driving power supply line for supplying a first driving voltage and a second driving power supply line for supplying a second driving voltage lower than first driving voltage; a first transistor configured to turn on based on an i-th scan signal and supply a data voltage to a first node, where i is a natural number greater than or equal to 2 and less than or equal to N, and N is a number of scan-lines; a capacitor between the first node and a gate electrode of the driving transistor, the capacitor is configured to supply a turn-on signal of the driving transistor to the gate electrode of the driving transistor based on the data voltage; and a second transistor configured to turn on based on a (i&#x2212;1)-th scan signal and supply a first reference voltage to a second node, in which the second node is disposed between the driving transistor and the capacitor, and the capacitor is between the first and second nodes.

Organic light emitting display device and method for driving the same

A control method for a robot cleaner includes acquiring a plurality of images of surroundings during travel of the robot cleaner in a cleaning area, estimating a plurality of room-specific feature distributions according to a rule defined for each of a plurality of rooms, based on the images acquired while acquiring the plurality of images, acquiring an image of surroundings at a current position of the robot cleaner, obtaining a comparison reference group including a plurality of room feature distributions by applying the rule for each of the plurality of rooms to the image acquired while acquiring the image at the current position, comparing the obtained comparison reference group with the estimated room-specific feature distributions, and determining a room from the plurality of rooms having the robot cleaner currently located therein.

Robot cleaner and control method thereof

A robot cleaner may include a main body, a light irradiation unit irradiating light towards a region in front of the main body, an image sensor including a plurality of horizontal lines sequentially exposed to form an image, an image processing unit constructing frames by synchronizing signals output from the horizontal lines, such that, after construction of any one frame, the image processing unit does not construct one or more frames by ignoring signals output from the horizontal lines, and then constructs a next frame, and a controller controlling the light irradiation unit to irradiate light while the horizontal lines are exposed to construct the one frame, such that the light irradiation unit stops irradiation of light between before exposure of all the horizontal lines to construct the frame is completed and one point of time while the image processing unit ignores signals output from the horizontal lines.

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Seoul, South Korea

Taekyeong Lee