Electronics and Telecommunications Research Institute

Sk on Co., Ltd.

Jae Yeong Lee

Won Pil Yu

Yong Seok Lee

Sang Won Bae

Myung Ro Lee

Jae Ram Kim

Young Jo Cho

Jae Yun Min

Ji Hee Bae

Hyun Joong Jang

Heesung Chae

Ji Won Na

Ki Joo Eom

Yu Cheol Lee

Yeon Hwa Song

An anode for a secondary battery includes an anode current collector, and an anode active material layer including a first anode active material layer and a second anode active material layer sequentially stacked from a surface of the anode current collector. Each of the first anode active material layer and the second anode active material layer includes a carbon-based active material and a silicon-based active material as an anode active material, and a carbon nanotube as a conductive material. A content of the silicon-based active material in the second anode active material layer is greater than a content of the silicon-based active material in the first anode active material layer. A Raman R value of the carbon nanotube included in the second anode active material layer is smaller than a Raman R value of the carbon nanotube included in the first anode active material layer.

Anode for secondary battery and lithium secondary battery including the same

A cathode for a lithium secondary battery includes a cathode current collector, and a cathode active material layer formed on the cathode current collector. The cathode active material layer includes a cathode active material and a conductive material ID/IG is in a range from 0.5 to 1.25 in a Raman spectrum of the cathode active material layer. The cathode active material includes lithium metal oxide particles containing nickel and manganese and having a content of cobalt of less than 2 mol % among all elements except for lithium and oxygen.

Cathode for lithium secondary battery and lithium secondary battery including the same

Disclosed are image recognition apparatuses and methods which detect subject objects by configuring effective candidate regions for the subject objects in a target image. The apparatus includes an image inputting part receiving at least one image; an effective candidate region configuring part configured to receive a user input including information on reference positions of effective candidate regions and an upper limit and a lower limit of the effective candidate regions, and to configure the effective candidate regions based on the user input; and an effective region determining part configured to select an effective region meeting a preconfigured threshold among the effective candidate regions configured based on the user input. Therefore, since a complex conventional camera calibration procedure is not necessary, time and cost can be saved.

Apparatus and method for image recognition

The method for building an outdoor map for a moving object according to an exemplary embodiment of the present invention includes: receiving a real satellite image for an outdoor space to which the moving object is to move; calculating pixel information including sizes of length and width pixels and a physical distance of one pixel in the real satellite image; measuring a reference position coordinate for a reference position selected from the real satellite image; and linking a pixel number corresponding to the reference position, the reference position coordinate, and the pixel information to the real satellite image in order to build the outdoor map for the moving object, and further includes creating information on a road network in which the moving object navigates based on the pixel number corresponding to the reference position, the reference position coordinate, and the pixel information.

Method for building outdoor map for moving object and apparatus thereof

Provided is a system and method for providing location information of robot in real time using an artificial mark. The system includes: an image processing module for obtaining an image signal by photographing artificial marks installed at a predetermined space with a space coordinate and detecting an image coordinate of artificial mark from the obtaining the image signal; a location calculating module for calculating a current location by comparing the image coordinate of detected artificial mark and a pre-stored space coordinate of artificial mark; and an artificial mark identifying module for updating current location information by selectively using one of an artificial mark tracing process and an image coordinate estimating process.

System and method for real-time calculating location

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Daejeon, South Korea

Jae Yeong Lee