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Author

Young Soo Suh

Bio: Young Soo Suh is an academic researcher from University of Ulsan. The author has contributed to research in topics: Inertial measurement unit & Kalman filter. The author has an hindex of 24, co-authored 121 publications receiving 2102 citations. Previous affiliations of Young Soo Suh include Ho Chi Minh City University of Technology.


Papers
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Journal ArticleDOI
TL;DR: This paper is concerned with nonuniform sampling systems, where the sampling interval is time-varying within a certain known bound and the system is transformed into a time-Varying discrete time system, where time- varying parts due to the sampling intervals variation are treated as norm bounded uncertainties using robust control techniques.

240 citations

Journal ArticleDOI
TL;DR: This paper is concerned with orientation estimation using inertial and magnetic sensors using quaternion-based indirect Kalman filter structure and the proposed method prevents unnecessarily increasing the measurement noise covariance corresponding to the accelerometer output, which is not affected by external acceleration.
Abstract: This paper is concerned with orientation estimation using inertial and magnetic sensors. A quaternion-based indirect Kalman filter structure is used. The magnetic sensor output is only used for yaw angle estimation using two-step measurement updates. External acceleration is estimated from the residual of the filter and compensated by increasing the measurement noise covariance. Using the direction information of external information, the proposed method prevents unnecessarily increasing the measurement noise covariance corresponding to the accelerometer output, which is not affected by external acceleration. Through numerical examples, the proposed method is verified.

220 citations

Journal ArticleDOI
13 Oct 2010-Sensors
TL;DR: A new zero detection algorithm is proposed in the paper, where only one Gyroscope value is used and a Markov model is constructed using segmentation of gyroscope outputs instead of using gyro scope outputs directly, which makes the zero velocity detection more reliable.
Abstract: In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm. In the algorithm, the zero velocity updating plays an important role, where zero velocity intervals are detected and the velocity error is reset. To use the zero velocity updating, it is necessary to detect zero velocity intervals reliably. A new zero detection algorithm is proposed in the paper, where only one gyroscope value is used. A Markov model is constructed using segmentation of gyroscope outputs instead of using gyroscope outputs directly, which makes the zero velocity detection more reliable.

161 citations

Journal ArticleDOI
TL;DR: This paper proposes a modified Kalman filter algorithm, which reduces sensor data traffic with relatively small estimation performance degradation and demonstrates the feasibility of the proposed filter algorithm.

104 citations

Journal ArticleDOI
26 Apr 2007-Sensors
TL;DR: Through simulation, it is shown that the number of transmission could be significantly reduced compared with the periodic sampling and the conventional send-on-delta method.
Abstract: This paper is concerned with sensor data transmission strategy. The main focus of the paper is how to reduce the number of sensor data transmission while maintaining the difference between the estimated sensor value and the real sensor value. The proposed method could be used in sensor networks and networked control systems, where number of transmission should be minimal. A linear predictor is used to predict sensor values and sensor data are transmitted if the difference between the predicted sensor value and the real sensor value exceeds the specified limit. An analytic upper bound of the mean rate of messages is provided. Through simulation, it is shown that the number of transmission could be significantly reduced compared with the periodic sampling and the conventional send-on-delta method.

100 citations


Cited by
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01 Jan 2004
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Abstract: From the Publisher: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

3,627 citations

Journal ArticleDOI
TL;DR: The main methodologies suggested in the literature to cope with typical network-induced constraints, namely time delays, packet losses and disorder, time-varying transmission intervals, competition of multiple nodes accessing networks, and data quantization are surveyed.
Abstract: Networked control systems (NCSs) have, in recent years, brought many innovative impacts to control systems. However, great challenges are also met due to the network-induced imperfections. Such network-induced imperfections are handled as various constraints, which should appropriately be considered in the analysis and design of NCSs. In this paper, the main methodologies suggested in the literature to cope with typical network-induced constraints, namely time delays, packet losses and disorder, time-varying transmission intervals, competition of multiple nodes accessing networks, and data quantization are surveyed; the constraints suggested in the literature on the first two types of constraints are updated in different categorizing ways; and those on the latter three types of constraints are extended.

989 citations

Journal ArticleDOI
TL;DR: It is concluded that PDR techniques alone can offer good short- to medium- term tracking under certain circumstances, but that regular absolute position fixes from partner systems will be needed to ensure long-term operation and to cope with unexpected behaviours.
Abstract: With the continual miniaturisation of sensors and processing nodes, Pedestrian Dead Reckoning (PDR) systems are becoming feasible options for indoor tracking. These use inertial and other sensors, often combined with domain-specific knowledge about walking, to track user movements. There is currently a wealth of relevant literature spread across different research communities. In this survey, a taxonomy of modern PDRs is developed and used to contextualise the contributions from different areas. Techniques for step detection, characterisation, inertial navigation and step-and-heading-based dead-reckoning are reviewed and compared. Techniques that incorporate building maps through particle filters are analysed, along with hybrid systems that use absolute position fixes to correct dead-reckoning output. In addition, consideration is given to the possibility of using smartphones as PDR sensing devices. The survey concludes that PDR techniques alone can offer good short- to medium- term tracking under certain circumstances, but that regular absolute position fixes from partner systems will be needed to ensure long-term operation and to cope with unexpected behaviours. It concludes by identifying a detailed list of challenges for PDR researchers.

749 citations

Journal ArticleDOI
TL;DR: The Pediatric Basic and Advanced Life Support Collaborators aim to provide real-time information and guidance to parents and clinicians on how to care for their children during the neonatal intensive care unit and beyond.
Abstract: Alexis A. Topjian, MD, MSCE, Chair; Tia T. Raymond, MD, Vice-Chair; Dianne Atkins, MD; Melissa Chan, MD; Jonathan P. Duff, MD, Med; Benny L. Joyner Jr, MD, MPH; Javier J. Lasa, MD; Eric J. Lavonas, MD, MS; Arielle Levy, MD, Med; Melissa Mahgoub, PhD; Garth D. Meckler, MD, MSHS; Kathryn E. Roberts, MSN, RN; Robert M. Sutton, MD, MSCE; Stephen M. Schexnayder, MD; On behalf of the Pediatric Basic and Advanced Life Support Collaborators

567 citations