公开(公告)号：US11259003B2

公开(公告)日：2022-02-22

申请号：US16559170

申请日：2019-09-03

Applicant: LG Electronics Inc.

Inventor： Jeong Hyeon Seo ,  Sang Hoon Kim ,  Jin Seok Im

IPC: H04N13/156 ,  H04N13/243 ,  H04N13/128 ,  G06T7/55 ,  H04N13/133 ,  G06T7/174 ,  G06T7/13 ,  G06T7/30 ,  B60R1/00 ,  G05D1/02 ,  H04N13/271 ,  H04W72/14 ,  H04W84/04

Abstract: A three-dimensional around view providing apparatus for providing a 3D around view through a user interface module included in a vehicle may include a plurality of image pickup units mounted in the vehicle, a depth estimator configured to receive a plurality of images from the plurality of image pickup units and to acquire a plurality of depth maps corresponding to the plurality of images, a controller configured to minimize a depth difference between a first boundary region of a first depth map and a second boundary region of a second depth map. At least one among an autonomous vehicle, a user terminal, and a server according to embodiments of the present disclosure may be associated or integrated with an artificial intelligence (AI) module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5th-generation (5G) service related device, and the like.

公开(公告)号：US11170266B2

公开(公告)日：2021-11-09

申请号：US16597649

申请日：2019-10-09

Applicant: LG ELECTRONICS INC.

Inventor： Moon Hyun Lee ,  Sang Hoon Kim ,  Jin Gyeong Kim ,  Jin Seok Im

IPC: G06K9/62 ,  G06K9/42 ,  G06K9/40

Abstract: An artificial intelligence based object identifying apparatus and a method thereof which are capable of easily identifying a type of an object in an image using a small size learning model are disclosed. According to an embodiment of the present disclosure, an object identifying apparatus configured to identify an object from an image includes a receiver configured to receive the image, an image modifier configured to modify the received image by predetermined methods to generate a plurality of modified images, and an object determinator configured to apply the plurality of modified images to a neural network trained to identify an object from the image to obtain a plurality of identification results and determine a type of an object in the received image based on the plurality of identification results.