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Your search keyword '"Chae, Heesung"' showing total 10 results
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10 results on '"Chae, Heesung"'

2. A 1/3-Inch 1.12μm-Pitch 13Mpixel CMOS Image Sensor with a Low-Power Readout Architecture

Author

Chae Heesung, Kyung-min Kim, Jesuk Lee, Suk-Ki Yoon, Kyungtae Kim, Kyoung-Min Koh, Kim Yunhong, and Yongin Park

Subjects
Built-in self-test, Computer science, business.industry, Dynamic range, Electrical engineering, Converters, Image sensor, Frame rate, business, Dot pitch, Decoding methods, Power (physics)
Abstract

This paper presents an implementation of a CMOS image sensor with a 65 nm CMOS process. The pixel array consists of 13 Mp with 1.12 μm pixel pitch. The fabricated sensor uses 10-bit column-parallel single slope analog-to-digital converters (ADC) based on a low-power readout architecture. Furthermore, a low-power built-in self-test (BIST) is proposed to avoid test over-kills. The proposed image sensor achieves a frame rate of 30–120 frames/s, a temporal random noise of 2 e− rms , a dynamic range of 65.2dB, peak integral non-linearity of 0.18 % and peak differential non-linearity of 0.26 least-significant bits. It consumes only 99.7mW at 30 frames/s.

Published
2020

10. Applications of robot navigation based on artificial landmark in large scale public space.

Author

Lee, Yu-Cheol, Christiand, Chae, Heesung, and Kim, Sung-Hoon

Abstract

This paper presents the navigation technique for service mobile robots in large scale environment using artificial landmark. The robot navigation is comprised of three major components; localization, mapping, and path planning. To implement the stable navigation system of mobile robots, many developers could use the artificial landmark to measure the accurate position of robot in large scale environment. When the mobile robots obtains the position based on the artificial landmark, they need to have the map which contains information about the positions of artificial landmarks. In this paper, Grid-based Simultaneous Localization And Mapping (Grid SLAM) method is employed to construct the map of artificial landmark using a specially made mapping cart. The artificial landmark map has been used for the real operation of four kinds of robots; patrol, guidance, delivery, cafeteria serving, relying on the artificial landmark map for their navigation at the large scale indoor environment named Tomorrow City (T-City) where the artificial landmark system is installed for the robotic technologies. The implementation results show that it is possible for mobile robots to provide various services based on the artificial landmark in large indoor environment. [ABSTRACT FROM PUBLISHER]

Published
2011
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