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| [2023.05.04(Thu.)] AI Convergence Network & Artificial Intelligence Colloquium | |||||||||
| 작성자 | 김성민 | 분류 | 행사 | ||||||
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| 공지대상 |
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등록일 | 2023-04-26 | 마감일 | 2023-05-04 | 마감여부 |  |
조회수 | 335 |
| 공지부서 | 소프트웨어융합대학교학팀 | ||||||||
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< AI Convergence Network & Artificial Intelligence Colloquium >
 When : 2023. 5. 4(Thu.), 13:30~15:00 Where : Online(Zoom)
https://ajou-ac-kr.zoom.us/j/
회의 ID: 813 5133 6376, 암호: 803156 Speaker : Prof. Steve Y. Ko(Simon Fraser University, Canada) Title : Optimizing On-Demand Visual SLAM Abstract : This talk will discuss our effort on optimizing visual SLAM (Simultaneous Localization and
Mapping) so it can comfortably run on a small device such as smartphones and AR/VR headsets. SLAM
systems estimate the state and trajectory of a mobile agent (e.g., a human, a robot, or a vehicle) while
also building a map of the environment using onboard sensors such as cameras and LiDARs. Visual
SLAM systems achieve this by identifying and tracking incoming color or depth images. However, visual
SLAM algorithms are known to be resource-intensive and difficult to run on small devices. As a result,
the current practice is to not run a full-scale visual SLAM algorithm but to run a partial algorithm with
limited functionality in order to reduce the resource demand of a full-scale algorithm. Due to this reason,
SLAM systems are not fully-realizing their potential for enabling a wider variety of applications. To
improve this status quo, we have been investigating optimization techniques to make full-scale on-
device visual SLAM feasible. Our goal is to concretely explore optimization techniques and trade-offs in
terms of accuracy, resource consumption, and latency.
Bio : Steve Ko is an Associate Professor in the School of Computing Science at Simon Fraser
University. His current research interest is improving the reliability and security of mobile systems by
developing techniques at the intersection of mobile systems and software engineering. He received a
B.S. degree in Mathematics from Yonsei University, an MS in Computer Science and Engineering from
Seoul National University, and a PhD in Computer Science from the University of Illinois at Urbana-
Champaign. He worked as a postdoc in the Department of Computer Science at Princeton University.
Until 2020, He was with the Department of Computer Science and Engineering at the University at
Buffalo, The State University of New York as an Associate Professor.
Host : 소프트웨어학과 고영배 교수(youngko@ajou.ac.kr) |
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| 다음 | [2023.04.27(Thu.)]Artificial Intelligence & AI Convergence Network Colloquium |
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