يعرض 1 - 10 نتائج من 471 نتيجة بحث عن '"Park, Chan Gook"', وقت الاستعلام: 0.97s تنقيح النتائج
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    تقرير

    الوصف: This paper deals with state estimation of stochastic models with linear state dynamics, continuous or discrete in time. The emphasis is laid on a numerical solution to the state prediction by the time-update step of the grid-point-based point-mass filter (PMF), which is the most computationally demanding part of the PMF algorithm. A novel way of manipulating the grid, leading to the time-update in form of a convolution, is proposed. This reduces the PMF time complexity from quadratic to log-linear with respect to the number of grid points. Furthermore, the number of unique transition probability values is greatly reduced causing a significant reduction of the data storage needed. The proposed PMF prediction step is verified in a numerical study.
    Comment: Accepted for IFAC 2023

    الوصول الحر: http://arxiv.org/abs/2302.13827Test

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    دورية أكاديمية
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    دورية أكاديمية

    المؤلفون: Lee, In Ho, Park, Chan Gook

    المساهمون: Defense Acquisition Program Administration

    المصدر: IEEE Transactions on Geoscience and Remote Sensing ; volume 61, page 1-14 ; ISSN 0196-2892 1558-0644

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    دورية أكاديمية

    المساهمون: Ministry of Science and Information and Communications Technology (ICT), Republic of Korea

    المصدر: IEEE Access ; volume 11, page 55844-55860 ; ISSN 2169-3536

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    دورية أكاديمية

    المساهمون: Institute of Information and Communications Technology Planning and Evaluation, Korean Government through the National Fire Agency (NFA)

    المصدر: IEEE Access ; volume 11, page 40930-40943 ; ISSN 2169-3536

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    دورية أكاديمية

    المساهمون: Park, Chan Gook

    الوصف: In this paper, a dual foot (DF)-PDR system is proposed for the fusion of integration (IA)-based PDR systems independently applied on both shoes. The horizontal positions of the two shoes estimated from each PDR system are fused based on a particle filter. The proposed method bounds the position error even if the walking time increases without an additional sensor. The distribution of particles is a non-Gaussian distribution to express the lateral error due to systematic drift. Assuming that the shoe position is the pedestrian position, the multi-modal position distribution can be fused into one using the Gaussian sum. The fused pedestrian position is used as a measurement of each particle filter so that the position error is corrected. As a result, experimental results show that position of pedestrians can be effectively estimated by using only the inertial sensors attached to both shoes. ; N ; 2

    العلاقة: Journal of Positioning, Navigation, and Timing, Vol.11 No.1, pp.35-44; https://hdl.handle.net/10371/190372Test; 167579; ART002820095

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    دورية أكاديمية

    المؤلفون: Han, Kyung Jun1,2 (AUTHOR), Park, Chan Gook1,3 (AUTHOR) chanpark@snu.ac.kr

    المصدر: IET Radar, Sonar & Navigation (Wiley-Blackwell). Apr2024, p1. 13p. 10 Illustrations, 6 Charts.

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    دورية أكاديمية

    المؤلفون: Choe, Yeongkwon, Park, Chan Gook

    المساهمون: Unmanned Vehicles Core Technology Research and Development Program, Unmanned Vehicle Advanced Research Center, National Research Foundation of Korea, 2023 Research Grant from Kangwon National University

    المصدر: IEEE Transactions on Aerospace and Electronic Systems ; volume 60, issue 3, page 3482-3495 ; ISSN 0018-9251 1557-9603 2371-9877

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    دورية أكاديمية
  10. 10
    دورية أكاديمية

    المؤلفون: Choi, Sung Hyuk, Park, Chan Gook

    المساهمون: Park, Chan Gook

    الوصف: Vision-based navigation can be classified primarily into relative and absolute navigation. Absolute navigation can estimate stable position solution of the vehicle. However, the performance of the feature detection algorithm greatly varies depending on the environment, and the matching accuracy may not be guaranteed. This represents navigation accuracy and can lead to serious navigation errors if an appropriate feature detector is not used. Therefore, in this study, we propose an algorithm that uses optimized feature information detector through frequency analysis of input image. To verify the performance of the proposed algorithm, we used the data obtained from flight experiments. The proposed algorithm prevents the occurrence of mismatching in flight experiments. ; N ; 1

    العلاقة: 2019 12TH ASIAN CONTROL CONFERENCE (ASCC), pp.1455-1459; https://hdl.handle.net/10371/187072Test; 000490720700254; 2-s2.0-85069929245; 173639