Samsung Electronics Co., Ltd.

Hyundai Mobis Co., Ltd.

Kakaobank Corp.

Samsung Display Co., Ltd.

Samsung Electro-mechanics Co., Ltd.

Samsung Led., Ltd.

Dong Yul Lee

Il Gyu Kim

Seung Hyun Kim

Je Won Kim

Yong Chun Kim

Sang Heon Han

Suk Ho Yoon

Seong Ju Park

Jang Mi Kim

Sang Jun Lee

Dong Joon Kim

Il Jin Kim

Jung Park

Kyoung Min Lee

Min Ki Kwon

Jin Aeon Lee

Ja Yeon Kim

Joo Young Jang

Bang Won Oh

Tae Sang Park

Seok Min Hwang

Jeong Wook Lee

Hyun Wook Shim

Dong Ju Lee

Young Jun Moon

Sang Won Kang

Sang Su Hong

Seong Suk Lee

Jae Sung Hyun

Kyung Woon Jang

Heon Ho Lee

Dong Seob Jang

Keun Man Song

Ho Yeol Choi

Ho Pyong Gil

Chang Kyu Chung

William Solari

Seung Beom Seo

Jun Gyu Song

Sang Woo Park

Chu Young Cho

Ok Hyun Kim

Myung Goo Cheong

Chang Hee Cho

Byung Min Kim

Seung Hee Oh

A parking assistance apparatus includes at least one camera sensor installed in a vehicle, a control unit configured to analyze an image obtained through the camera sensor to recognize a space and object in a parking lot by matching a detailed parking lot map to an object, search for an available parking space by calculating a parking region on the basis of recognized space and object information, and generate a path to the available parking space searched for, or perform autonomous parking until reaching the available parking space, and a storage unit configured to store the detailed parking lot map for recognizing the space and object.

Apparatus and method for supporting parking

A hologram detection method according to an aspect of the disclosure, includes: inputting a first image, obtained by capturing a detection object on the basis of first flash intensity, to a neural network model to obtain a first detection result value representing the detection or not of a hologram for each of predetermined at least one detection unit regions; and comparing a threshold value with the first detection result value obtained for each detection unit region to determine the detection or not of a hologram in the first image and a first detection unit region where a hologram is detected.

Hologram detection service providing server and hologram detection method

An identification card authenticity determining method based on deep learning according to the disclosure for automatically checking authenticity of an identification card includes: inputting identification card data to a feature information extraction model to extract pieces of feature information, expressing an indicator for checking authenticity of the identification card, from the identification card data; inputting the extracted pieces of feature information to a classification model to determine authenticity of the identification card; and when it is determined that the identification card is falsified, extracting a class activation map, where a falsification region of the identification card data is activated, from the pieces of feature information.

Deep-learning-based identification card authenticity verification apparatus and method

A class labeling system for autonomous driving includes a detection module, a segmentation module, and a lane road boundary detection module. The detection module is configured to detect objects for autonomous driving from an image captured by a camera to generate a bounding box for each of the objects and detect property information about the object. The segmentation module is configured to determine classes for each pixel of the bounding box detected by the detection module and process at least one of the classes as don't care. The lane road boundary detection module is configured to detect at least one of lane and road boundaries using the bounding box detected by the detection module.

Class labeling system for autonomous driving

An automatic image synthesizing apparatus including an image search unit configured to search for and extract a frame image having an object to be learned or replaced from a plurality of frame images inputted through a vehicle camera; an instance object detection unit configured to detect an instance object to be learned or replaced from the extracted frame image; an image extraction and object class information detection unit configured to extract mask-segmented objects from the extracted frame image and form a data-structure; a standard image mapping unit configured to map a standard image matching a class value of the mask-segmented object; and a generative adversarial network (GAN) network unit configured to receive the selected standard image and the mask segmentation image and learn a replacement image or produce a replacement image based on a learning result.

Automatic image synthesizing apparatus and method

A method of fabricating a semiconductor light emitting device includes forming a first conductivity type semiconductor layer, forming an active layer by alternately forming a plurality of quantum well layers and a plurality of quantum barrier layers on the first conductivity type semiconductor layer, and forming a second conductivity type semiconductor layer on the active layer. The plurality of quantum barrier layers include at least one first quantum barrier layer adjacent to the first conductivity type semiconductor layer and at least one second quantum barrier layer adjacent to the second conductivity type semiconductor layer. The forming of the active layer includes allowing the at least one first quantum barrier layer to be grown at a first temperature and allowing the at least one second quantum barrier layer to be grown at a second temperature lower than the first temperature.

Method of fabricating semiconductor light emitting device

A semiconductor light emitting device and a method of manufacturing a semiconductor light emitting device, the device including a first conductive semiconductor layer including a plurality of V-shaped recesses; an active layer on the first conductive semiconductor layer along a shape of the plurality of V-shaped recesses; a second conductive semiconductor layer on the active layer; a reflection assisting layer on the second conductive semiconductor layer; and a reflection layer on the reflection assisting layer, wherein a thickness of the second conductive semiconductor layer is 45 nm to 100 nm.

Semiconductor light emitting device and method of manufacturing the same

A fingerprint recognition device includes: an integrated circuit electrically connected to at least one sensor electrode; a first circuit board located at an upper portion of the integrated circuit and provided with the at least one sensor electrode; a second circuit board electrically connected to the first circuit board and located at under the integrated circuit; a molding layer provided under the first circuit board to surround the integrated circuit so as to protect the integrated circuit from the outside; and a connection part electrically connecting the first circuit board and the second circuit board.

Fingerprint recognition device, method of manufacturing the same, and electronic device thereof

A method of manufacturing a semiconductor device, includes forming an aluminum compound film on a surface of a process chamber by supplying an aluminum (Al) source to the process chamber, the surface contacting the aluminum source in the process chamber; disposing a wafer on a susceptor provided in the process chamber after forming the aluminum compound film; and forming a thin film for the semiconductor device on the wafer.

Method of manufacturing semiconductor device and method of maintaining deposition apparatus

A method of forming a semiconductor layer is provided. The method includes forming a plurality of nanorods on a substrate and forming a lower semiconductor layer on the substrate so as to expose at least portions of the nanorods. The nanorods are removed so as to form voids in the lower semiconductor layer, and an upper semiconductor layer is formed on an upper portion of the lower semiconductor layer and the voids.

Method of forming semiconductor layer and semiconductor light emitting device

There is provided a photonic crystal light emitting device including: a light emitting structure including first and second conductivity type semiconductor layers and an active layer interposed therebetween; a transparent electrode layer formed on the second conductivity type semiconductor layer, the transparent electrode layer having a plurality of holes arranged with a predetermined size and period so as to form a photonic band gap for light emitted from the active layer, whereby the transparent electrode layer includes a photonic crystal structure; and first and second electrode electrically connected to the first conductivity type semiconductor layer and the transparent electrode layer, respectively. The photonic crystal light emitting device has a transparent electrode layer formed of a photonic crystal structure defined by minute holes, thereby improved in light extraction efficiency.

Photonic crystal light emitting device and manufacturing method of the same

Disclosed is a semiconductor light emitting device. The semiconductor light emitting device includes an n-type semiconductor layer, a p-type semiconductor layer, and an active layer disposed therebetween, and a surface plasmon layer disposed between the active layer and at least one of the n-type and p-type semiconductor layers, including metallic particles and an insulating material, and including a conductive via for electrical connection between the active layer and the at least one of the n-type and p-type semiconductor layers, wherein the metallic particles are enclosed by the insulating material to be insulated from the at least one of the n-type and p-type semiconductor layers. The semiconductor light emitting device can achieve enhanced emission efficiency by using surface plasmon resonance. Using the semiconductor light emitting device, the diffusion of a metal employed for surface plasmon resonance into the active layer can be minimized.

Semiconductor light emitting device having surface plasmon layer

Growing community of inventors

Yongin-si, South Korea

Dong Yul Lee