Abstract:
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.
Abstract:
An apparatus and method for processing a multi-view image are provided. The multi-view image processing apparatus includes a blur strength determination unit to determine blur strengths of view images constituting a multi-view image, based on views of the view images and disparity information of the view images, and a blur effect application unit to apply a blur effect to the view images according to the blur strengths of the view images.
Abstract:
A robot includes: at least one memory storing first map data corresponding to a first region of a specific space; a distance sensor configured to acquire distance data while the robot travels in the specific space; and at least one processor operatively connected to the at least one memory and the distance sensor. The at least one processor is configured to: based on second map data acquired based on the distance data, compare the first map data and the second map data and generate a comparison result, and based on identifying, based on the comparison result, that an error does not exist in the second map data and that the second map data comprises information on a second region, update the first map data with the second map data.
Abstract:
An electronic apparatus includes a memory storing map data corresponding to a travelling space, the map data comprising Z-axis information. The electronic apparatus further includes a camera and a processor configured to: obtain first height information of an object included in one point of the map data, based on a first image obtained by the camera at a first location while the electronic apparatus is travelling, obtain second height information of the object included in the one point of the map data, based on a second image obtained by the camera at a second location that is different than the first location, and update the Z-axis information corresponding to the one point based on the first height information and the second height information.
Abstract:
Provided in the present disclosure are a robot and a control method therefor. The robot includes: a depth camera; a driver; and a processor for acquiring a depth image by performing photographing through the depth camera, generating a plurality of 3D points on a three-dimensional (3D) space corresponding to a plurality of pixels, based on depth information about the plurality of pixels of the depth image, identifying a plurality of 3D points having a preset height value, based on a driving bottom surface of the robot in the 3D space from among the plurality of 3D points, and controlling the driver to move the robot based on the identified plurality of 3D points.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.