Lg Electronics Inc.

Electronics and Telecommunications Research Institute

Jooyoung Kim

Hun Jung Kim

Wonsuk Lee

Jong-Hyun Park

Sang Joon Park

Sungchul Shin

Minhyung Kim

Jungjoon Lee

Youngsu Cho

Myungin Ji

Seong Yun Cho

Yang Koo Lee

Xuelong Xu

Nakhoon Go

Youngwoo Choi

Danish Thomas

Viswanath Ganapathy

Seonghan Yun

The present invention relates to a deep learning neural network based security system and a control method therefor and, more particularly, to a deep learning neural network based security system comprising: at least one WiFi node; and a deep learning module for detecting an object from a WiFi signal received from the WiFi node, wherein the deep learning module identifies information on the object when the object is detected.

Deep learning neural network based security system and control method therefor

A driver assistance apparatus includes a camera provided in a vehicle and configured to acquire an image; and a processor configured to process the image. The camera includes an image sensor; and a variable lens that includes a liquid crystal layer and configured to alter light that is introduced into the image sensor based on an arrangement of liquid crystal molecules included in the liquid crystal layer. The arrangement of the liquid crystal molecules in the liquid crystal layer is dependent on an applied voltage.

Driver assistance apparatus and vehicle

A vehicle camera includes an image sensor and a variable lens. The variable lens includes a liquid crystal layer that includes liquid crystal molecules having an arrangement that depends on a voltage applied to the liquid crystal layer. The variable lens is configured to, based on the arrangement of the liquid crystal molecules in the liquid crystal layer, alter light that is introduced into the image sensor.

Disclosed are a mobile device, an HMD and a system. A mobile device which is capable of data communication with an HMD, according to one embodiment of the present invention, comprises: a touch sensing module which is designed to recognize a touch from a user; a communication module which performs data communication with a head-mounted display (HMD); a video processor which if relative location information between the mobile device and the HMD is received from the HMD, generates extended video data on the basis of the location information; and a controller which after the generated extended video data is transmitted to the HMD via the communication module, controls the extended video data output by the HMD.

Mobile device, HMD and system

Provided are a method for determining a moving direction of a terminal and correcting a position thereof, and a positioning apparatus using the same. Relative direction information is estimated based on N pieces of position information of the terminal, and distortion information is removed from the relative direction information to acquire relative direction information without direction integrity. Further, the relative direction information is transmitted into absolute direction information to acquire a moving path direction of the terminal. Next, the position information of the terminal is corrected based on the moving path direction of the terminal.

Method for determining moving direction of terminal and correcting position thereof, and positioning apparatus using the method

A position estimation server estimates the position of a target mobile node by using position information of a minimum number of anchor nodes knowing their position, distance information estimated between mobile nodes or between the anchor nodes and the mobile nodes, and connectivity information.

Method and server for estimating position of mobile node

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Seoul, South Korea

Jooyoung Kim