최병욱 교수
Byung-Wook Choi
한양대학교 컴퓨터소프트웨어학부 · 컴퓨터과학
연구실 소개
최병욱 교수의 연구실은 나노기반 소재의 물성 분석과 그 응용에 초점을 맞추고 있으며, 특히 고강도 스틸 소재의 미세구조적 거칠기 특성과 경도 예측에 대한 연구를 진행하고 있습니다. 또한 로봇의 자율주행 및 실내 위치 추정을 위한 지능형 환경 인식 기술, 특히 단일 카메라 기반의 공간 관계 기반 의미적 지도 구축과 베이지안 추론 기반 로컬라이제이션 기법을 개발하고 있습니다. 최근에는 증강현실 기반의 군사 훈련 시스템과 스마트 TV 환경에 최적화된 음성 기반 웹 브라우저 등 실생활 응용에 기여하는 인공지능 기반의 인터페이스 기술 개발도 함께 진행하고 있습니다. 이러한 연구들은 모두 인간과 기계가 공유할 수 있는 지능적 환경 인식 및 상호작용 기반의 스마트 시스템 구현을 목표로 하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15The hardness characteristics of constituent micro-phases (ferrite and bainite) in a dual-phase API X100 pipeline steel were analyzed by nanoindentation experiments. The measured nano-hardness of the bainite phase is from 3.8 GPa to 4.9 GPa, which is much higher than that of the ferrite phase, which ranged from 1.75 GPa to 2.3 GPa. With the hardness and volume fraction of each micro-phase, attempts were made to predict the overall hardness by applying a simple rule-of-mixture. A comparison betwee
We propose a semantic representation and Bayesian model for robot localization using spatial relations among objects that can be created by a single consumer-grade camera and odometry. We first suggest a semantic representation to be shared by human and robot. This representation consists of perceived objects and their spatial relationships, and a qualitatively defined odometry-based metric distance. We refer to this as a topological-semantic distance map. To support our semantic representation,
This study addressed the problem of active localization, which requires massive computation. To solve the problem, we developed abstracted measurements that consist of qualitative metrics estimated by a single camera. These are contextual representations consisting of perceived landmarks and their spatial relations, and they can be shared by humans and robots. Next, we enhanced the Markov localization method to support contextual representations with which a robot's location can be sufficiently
We propose a new augmented reality (AR)-based approach for training using virtual sand table representations of military battlefields. A virtual tactical map (VTM) can archive simple actions such as moving a marker by hand, to provide more organic realizations in virtual military training. The new tangible AR interface provides a content-authoring tool that is natural, intuitive, and user-friendly. AR-interfaced VTMs exhibit multiple possibilities for military learning and training applications.
This paper proposes a new voice web browser that can be operated in smart TV environments. Previous voice web browsers had the limitation of being run under limited conditions; for example, a list of the specific contents of a page was outputted by voice, or the user entered a search term by voice. In our method proposed in this paper, all the hierarchical menu areas on a web page are recognized and controlled with voice keywords so that page navigation according to a menu can be conveniently do
To realize autonomous navigation of intelligent robots in a variety of settings, analysis and classification of places, and the ability to actively collect information are necessary. In this paper, visual data are organized into an orientation histogram to roughly express input images by extracting and cumulating straight lines according to direction angle. In addition, behavioral data are organized into a behavioral histogram by cumulating motions performed to avoid obstacles encountered while
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