S
Songhwai Oh
Researcher at Seoul National University
Publications - 194
Citations - 4092
Songhwai Oh is an academic researcher from Seoul National University. The author has contributed to research in topics: Wireless sensor network & Mobile robot. The author has an hindex of 29, co-authored 177 publications receiving 3486 citations. Previous affiliations of Songhwai Oh include Korea University & Systems Research Institute.
Papers
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Journal ArticleDOI
Markov Chain Monte Carlo Data Association for Multi-Target Tracking
TL;DR: Simulation results show that MCMCDA outperforms multiple hypothesis tracking (MHT) by a significant margin in terms of accuracy and efficiency under extreme conditions, such as a large number of targets in a dense environment, low detection probabilities, and high false alarm rates.
Proceedings ArticleDOI
Markov chain Monte Carlo data association for general multiple-target tracking problems
TL;DR: An efficient real-time algorithm that solves the data association problem and is capable of initiating and terminating a varying number of tracks, which shows remarkable performance compared to the greedy algorithm and the multiple hypothesis tracker under extreme conditions.
Proceedings ArticleDOI
CITRIC: A low-bandwidth wireless camera network platform
Phoebus Chen,Parvez Ahammad,Colby Boyer,Shih-I Huang,Leon Lin,Edgar Lobaton,M. Meingast,Songhwai Oh,Shen-Zheng Wang,Posu Yan,Allen Y. Yang,Chuohao Yeo,Lung-Chung Chang,J. D. Tygar,S. Shankar Sastry +14 more
TL;DR: This paper proposes and demonstrates a novel wireless camera network system, called CITRIC, that integrates a camera, a frequency-scalable CPU, 16MB FLASH, and 64MB RAM onto a single device, and connects with a standard sensor network mote to form a camera mote.
Journal ArticleDOI
Distributed learning and cooperative control for multi-agent systems
TL;DR: It is shown that the closed-loop dynamics of the proposed multi-agent system can be transformed into a form of a stochastic approximation algorithm and prove its convergence using Ljung's ordinary differential equation approach.
Journal ArticleDOI
Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments
TL;DR: A real-time hierarchical control system, named LochNess, which decouples the estimation of evader states from the control of pursuers via multiple layers of data fusion and is evaluated in simulation and successfully demonstrated using a large-scale outdoor sensor network deployment.