Robust Sensor Registration with the Presence of Misassociations and Ill Conditioning

Wei TIAN; Yue WANG; Xiuming SHAN; Jian YANG

doi:10.1587/transfun.E96.A.2318

Robust Sensor Registration with the Presence of Misassociations and Ill Conditioning

Wei TIAN, Yue WANG, Xiuming SHAN, Jian YANG

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In this paper, we propose a robust registration method, named Bounded-Variables Least Median of Squares (BVLMS). It overcomes both the misassociations and the ill-conditioning due to the interactions between Bounded-Variables Least Squares (BVLS) and Least Median of Squares (LMS). Simulation results demonstrate the feasibility of this new registration method.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.11 pp.2318-2321

Publication Date: 2013/11/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E96.A.2318

Type of Manuscript: LETTER

Category: Measurement Technology

Authors

Wei TIAN
  Tsinghua University
Yue WANG
  Tsinghua University
Xiuming SHAN
  Tsinghua University
Jian YANG
  Tsinghua University

Keyword

data fusion, registration, misassociation, ill conditioning, bounded-variables least median of squares

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Wei TIAN, Yue WANG, Xiuming SHAN, Jian YANG, "Robust Sensor Registration with the Presence of Misassociations and Ill Conditioning" in IEICE TRANSACTIONS on Fundamentals, vol. E96-A, no. 11, pp. 2318-2321, November 2013, doi: 10.1587/transfun.E96.A.2318.
Abstract: In this paper, we propose a robust registration method, named Bounded-Variables Least Median of Squares (BVLMS). It overcomes both the misassociations and the ill-conditioning due to the interactions between Bounded-Variables Least Squares (BVLS) and Least Median of Squares (LMS). Simulation results demonstrate the feasibility of this new registration method.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.2318/_p

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@ARTICLE{e96-a_11_2318,
author={Wei TIAN, Yue WANG, Xiuming SHAN, Jian YANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Sensor Registration with the Presence of Misassociations and Ill Conditioning},
year={2013},
volume={E96-A},
number={11},
pages={2318-2321},
abstract={In this paper, we propose a robust registration method, named Bounded-Variables Least Median of Squares (BVLMS). It overcomes both the misassociations and the ill-conditioning due to the interactions between Bounded-Variables Least Squares (BVLS) and Least Median of Squares (LMS). Simulation results demonstrate the feasibility of this new registration method.},
keywords={},
doi={10.1587/transfun.E96.A.2318},
ISSN={1745-1337},
month={November},}

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TY - JOUR
TI - Robust Sensor Registration with the Presence of Misassociations and Ill Conditioning
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2318
EP - 2321
AU - Wei TIAN
AU - Yue WANG
AU - Xiuming SHAN
AU - Jian YANG
PY - 2013
DO - 10.1587/transfun.E96.A.2318
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2013
AB - In this paper, we propose a robust registration method, named Bounded-Variables Least Median of Squares (BVLMS). It overcomes both the misassociations and the ill-conditioning due to the interactions between Bounded-Variables Least Squares (BVLS) and Least Median of Squares (LMS). Simulation results demonstrate the feasibility of this new registration method.
ER -