Robust visual odometry using stereo reconstruction error model

2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing ◽

10.1109/iccp.2012.6356178 ◽

2012 ◽

Cited By ~ 1

Author(s):

Dan Pojar ◽

Pangyu Jeong ◽

Sergiu Nedevschi

Keyword(s):

Visual Odometry ◽

Reconstruction Error ◽

Error Model ◽

Stereo Reconstruction

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Speech enhancement using PCA and variance of the reconstruction error model identification

10.21437/interspeech.2007-346 ◽

2007 ◽

Author(s):

Amin Haji Abolhassani ◽

Sid-Ahmed Selouani ◽

Douglas O'Shaughnessy ◽

Mohamed-Faouzi Harkat

Keyword(s):

Speech Enhancement ◽

Model Identification ◽

Reconstruction Error ◽

Error Model

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D Stereo Reconstruction Error Models

Visual Perception and Robotic Manipulation - Springer Tracts in Advanced Robotics ◽

10.1007/11540151_12 ◽

2006 ◽

pp. 189-194

Author(s):

Geoffrey Taylor ◽

Lindsay Kleeman

Keyword(s):

Reconstruction Error ◽

Error Models ◽

Stereo Reconstruction

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Extending the Measurement Error Model of a Direct Visual Odometry Algorithm to Improve its Accuracy for Planetary Rover Navigation

2019 IEEE International Conference on Applied Science and Advanced Technology (iCASAT) ◽

10.1109/icasat48251.2019.9069525 ◽

2019 ◽

Author(s):

Geovanni Martinez

Keyword(s):

Measurement Error ◽

Visual Odometry ◽

Error Model ◽

Measurement Error Model ◽

Planetary Rover

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Stereo reconstruction error analysis for spatial circle based on calibration parameters disturbance model

2016 IEEE International Conference on Robotics and Biomimetics (ROBIO) ◽

10.1109/robio.2016.7866656 ◽

2016 ◽

Author(s):

Tian Zhang ◽

Jinguo Liu ◽

Ruolong Qi ◽

Yimeng Fu ◽

Xiaoxue Zhang

Keyword(s):

Error Analysis ◽

Reconstruction Error ◽

Stereo Reconstruction ◽

Disturbance Model ◽

Calibration Parameters

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Interval estimation procedures for true scores of a test composed of polytomous items: An application of the multinomial error model.

Psychological Methods ◽

10.1037/met0000338 ◽

2020 ◽

Author(s):

Kyung Yong Kim ◽

Seohee Park ◽

Won-Chan Lee

Keyword(s):

Interval Estimation ◽

Error Model ◽

Polytomous Items ◽

Estimation Procedures ◽

True Scores

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Analysis of a Navigation System based on Partially Tight Integration of IMU -Visual Odometry with Loosely Coupled GPS

Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016) ◽

10.33012/2016.14713 ◽

2016 ◽

Author(s):

M. Sahmoudi ◽

N. Ramuni

Keyword(s):

Navigation System ◽

Visual Odometry ◽

Loosely Coupled ◽

Tight Integration

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Visual Odometry with Dynamic Object Detection by Complementary Integration of Optical Flows and Pattern Recognition

Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) ◽

10.33012/2017.15316 ◽

2017 ◽

Author(s):

Kojiro Takeyama ◽

Takashi Machida ◽

Yoshiko Kojima ◽

Nobuaki Kubo

Keyword(s):

Pattern Recognition ◽

Object Detection ◽

Visual Odometry ◽

Dynamic Object ◽

Optical Flows

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301. Simulation Analysis of Inhalable Dust Sampling Errors Using a Multicomponent Error Model

10.3320/1.2763151 ◽

1999 ◽

Author(s):

D. Johnson ◽

N. Esmen

Keyword(s):

Simulation Analysis ◽

Error Model ◽

Sampling Errors ◽

Inhalable Dust ◽

Dust Sampling

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A Bayesian Semiparametric Multiplicative Error Model with an Application to Realized Volatility

SSRN Electronic Journal ◽

10.2139/ssrn.2173197 ◽

2012 ◽

Author(s):

Reza Solgi ◽

Antonietta Mira

Keyword(s):

Realized Volatility ◽

Error Model ◽

Multiplicative Error ◽

Bayesian Semiparametric

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A Generalized Maximum Entropy Estimator to Simple Linear Measurement Error Model with a Composite Indicator

SSRN Electronic Journal ◽

10.2139/ssrn.2257822 ◽

2013 ◽

Author(s):

Maurizio Carpita ◽

Enrico Ciavolino

Keyword(s):

Measurement Error ◽

Maximum Entropy ◽

Linear Measurement ◽

Composite Indicator ◽

Error Model ◽

Measurement Error Model ◽

Generalized Maximum Entropy ◽

Entropy Estimator

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