Improvements in Optical Flow-based Aircraft Partial State Estimation

2021 ◽

Vol 2021 (0) ◽

pp. 1P1-I09

Author(s):

Takahiro YAMAZAKI ◽

Solvi ARNOLD ◽

Kimitoshi YAMAZAKI

Keyword(s):

Optical Flow ◽

State Estimation

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Partial aircraft state estimation from optical flow using non-model-based optimization

2006 American Control Conference ◽

10.1109/acc.2006.1657154 ◽

2006 ◽

Cited By ~ 10

Author(s):

J.J. Kehoe ◽

R.S. Causey ◽

A. Arvai ◽

R. Lind

Keyword(s):

Optical Flow ◽

State Estimation ◽

Model Based

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Toward Partial State Estimation of Distribution Network Under Novel Micro-PMU Placement

2019 IEEE Power & Energy Society General Meeting (PESGM) ◽

10.1109/pesgm40551.2019.8973974 ◽

2019 ◽

Author(s):

Qiancheng Lv ◽

Hsiao-Dong Chiang

Keyword(s):

State Estimation ◽

Distribution Network ◽

Estimation Of Distribution ◽

Pmu Placement ◽

Partial State

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Optical Flow-Based State Estimation for Guided Projectiles

10.21236/ada619829 ◽

2015 ◽

Cited By ~ 2

Author(s):

Moshe Hamaoui

Keyword(s):

Optical Flow ◽

State Estimation

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Scalable Decentralized Partial State Estimation with Sensor Uncertainties Using Factorized Data Fusion

AIAA Infotech @ Aerospace ◽

10.2514/6.2016-1409 ◽

2016 ◽

Cited By ~ 1

Author(s):

Nisar R. Ahmed ◽

William Whitacre ◽

Sangwoo Moon ◽

Eric W. Frew

Keyword(s):

Data Fusion ◽

State Estimation ◽

Partial State

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High-frequency MAV state estimation using low-cost inertial and optical flow measurement units

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros.2015.7353621 ◽

2015 ◽

Cited By ~ 15

Author(s):

Angel Santamaria-Navarro ◽

Joan Sola ◽

Juan Andrade-Cetto

Keyword(s):

Optical Flow ◽

State Estimation ◽

High Frequency ◽

Flow Measurement ◽

Low Cost ◽

Measurement Units

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Distributed Partial State Estimation via Virtual Distributed Observers

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr.57.488 ◽

2021 ◽

Vol 57 (11) ◽

pp. 488-498

Author(s):

Ryo NAMERIKAWA ◽

Toru NAMERIKAWA

Keyword(s):

State Estimation ◽

Partial State

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Partial state estimation in the presence of unknown inputs

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082255 ◽

1997 ◽

Author(s):

Abdelillah Youssouf ◽

Michel Kinnaert

Keyword(s):

State Estimation ◽

Unknown Inputs ◽

Partial State

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Reduced-order functional observers with application to partial state estimation of linear systems with input-delays

Journal of Control and Decision ◽

10.1080/23307706.2015.1066718 ◽

2015 ◽

Vol 2 (4) ◽

pp. 233-256 ◽

Cited By ~ 13

Author(s):

Reza Mohajerpoor ◽

Hamid Abdi ◽

Saeid Nahavandi

Keyword(s):

State Estimation ◽

Linear Systems ◽

Reduced Order ◽

Partial State ◽

Input Delays

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Discrete-time inverse optimal control with partial-state information: A soft-optimality approach with constrained state estimation

2016 IEEE 55th Conference on Decision and Control (CDC) ◽

10.1109/cdc.2016.7798546 ◽

2016 ◽

Cited By ~ 6

Author(s):

Timothy L. Molloy ◽

Dorian Tsai ◽

Jason J. Ford ◽

Tristan Perez

Keyword(s):

Optimal Control ◽

State Estimation ◽

Discrete Time ◽

Inverse Optimal Control ◽

State Information ◽

Partial State

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Improvements in Optical Flow-based Aircraft Partial State Estimation

Online State Estimation of Cloth Products During Dressing Process Based on Optical Flow Learning

Partial aircraft state estimation from optical flow using non-model-based optimization

Toward Partial State Estimation of Distribution Network Under Novel Micro-PMU Placement

Optical Flow-Based State Estimation for Guided Projectiles

Scalable Decentralized Partial State Estimation with Sensor Uncertainties Using Factorized Data Fusion

High-frequency MAV state estimation using low-cost inertial and optical flow measurement units

Distributed Partial State Estimation via Virtual Distributed Observers

Partial state estimation in the presence of unknown inputs

Reduced-order functional observers with application to partial state estimation of linear systems with input-delays

Discrete-time inverse optimal control with partial-state information: A soft-optimality approach with constrained state estimation

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