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Integral-Sliding-Mode-Observer-Based Structure and Motion Estimation of a Single Object in General Motion Using a Monocular Dynamic Cameraoa mark
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Publication Year
2020-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Access, Vol.8, pp.14207-14222
Keyword
Camera-object relative motion dynamicsintegral sliding mode observermonocular dynamic cameraobject in general motionstructure and motion estimation
Mesh Keyword
Dynamic cameraIntegral sliding modeobject in general motionRelative motion dynamicsStructure and motions
All Science Classification Codes (ASJC)
Computer Science (all)Materials Science (all)Engineering (all)
Abstract
An integral sliding mode observer (ISMO)-based method for estimating the structure and motion (SaM) of an object in general motion is proposed using a monocular dynamic (moving) camera. As the unknown range and object velocity can be considered as disturbances and should be quickly estimated, it is necessary to maintain the robustness against these disturbances from the start by eliminating the reaching mode. Therefore, the ISMO-based method is proposed on the basis of a relative camera-object motion model. By formulating the relative motion model with three-dimensional measurable state variables, three unknown components among the range, unknown object velocity components, and unknown camera velocity components can be estimated by the proposed method in the following cases: i) the camera is in dynamic motion and the object is in semigeneral motion [i.e., initially static (stationary) and then in general (static or dynamic) motion], ii) the camera is in dynamic motion and the object is in general motion within a constrained space, and iii) both the object and camera are in general motion within a less constrained space when the range information is available. Simulation and experimental results demonstrate that the range and object velocity can be estimated with a satisfactory transient response using a monocular dynamic camera.
ISSN
2169-3536
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31163
DOI
https://doi.org/10.1109/access.2019.2956777
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Type
Article
Funding
This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning under Grant 2017R1A2B4009486, and in part by the Korea Electric Power Corporation under Grant R19XO01-21.
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Chwa, Dongkyoung Image
Chwa, Dongkyoung좌동경
Department of Electrical and Computer Engineering
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