D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 63 Citations 13,885 157 World Ranking 1264 National Ranking 727
Electronics and Electrical Engineering D-index 59 Citations 12,596 137 World Ranking 609 National Ranking 304

Research.com Recognitions

Awards & Achievements

2016 - IEEE Fellow For contributions to visual-inertial navigation and cooperative localization

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Stergios I. Roumeliotis mainly focuses on Kalman filter, Artificial intelligence, Control theory, Mobile robot and Computer vision. A large part of his Kalman filter studies is devoted to Extended Kalman filter. Stergios I. Roumeliotis studies Robustness, a branch of Artificial intelligence.

Stergios I. Roumeliotis has included themes like Iterative method, Covariance matrix and Filter in his Control theory study. The Mobile robot study combines topics in areas such as Algorithm and Motion planning. His Computer vision study integrates concerns from other disciplines, such as Mobile robot navigation and Inertial navigation system.

His most cited work include:

  • A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation (760 citations)
  • Distributed multirobot localization (595 citations)
  • A Kalman Filter-Based Algorithm for IMU-Camera Calibration: Observability Analysis and Performance Evaluation (323 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Computer vision, Kalman filter, Control theory and Algorithm. In the subject of general Artificial intelligence, his work in Odometry, Robustness, Feature and Visual odometry is often linked to Transformation, thereby combining diverse domains of study. His work carried out in the field of Computer vision brings together such families of science as Inertial navigation system and Trajectory.

His studies deal with areas such as Gyroscope, Simultaneous localization and mapping, Mobile robot and Sensor fusion as well as Kalman filter. His work deals with themes such as Robot, Covariance matrix, Pose and Filter, which intersect with Control theory. His Algorithm research is multidisciplinary, relying on both Focus, State space, Mathematical optimization and Filter.

He most often published in these fields:

  • Artificial intelligence (42.08%)
  • Computer vision (39.11%)
  • Kalman filter (33.66%)

What were the highlights of his more recent work (between 2015-2020)?

  • Artificial intelligence (42.08%)
  • Computer vision (39.11%)
  • Algorithm (27.23%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Computer vision, Algorithm, Inertial navigation system and Trajectory. Stergios I. Roumeliotis is studying Robustness, which is a component of Artificial intelligence. His Computer vision research incorporates themes from Simultaneous localization and mapping and Reference frame.

The study incorporates disciplines such as Filter and Extended Kalman filter in addition to Algorithm. His Trajectory study combines topics in areas such as Kalman filter, Visualization and Scale. His Observability research includes elements of Mobile robot and Minification.

Between 2015 and 2020, his most popular works were:

  • An Efficient Algebraic Solution to the Perspective-Three-Point Problem (48 citations)
  • VINS on wheels (46 citations)
  • A comparative analysis of tightly-coupled monocular, binocular, and stereo VINS (27 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary scientific interests are in Artificial intelligence, Inertial navigation system, Algorithm, Scale and Computer vision. His research integrates issues of Machine learning and Distributed computing in his study of Artificial intelligence. His Algorithm research integrates issues from Robotic systems and Pairwise comparison.

As part of the same scientific family, Stergios I. Roumeliotis usually focuses on Scale, concentrating on Real-time computing and intersecting with Control theory, Mobile robot and Observability. Stergios I. Roumeliotis focuses mostly in the field of Control theory, narrowing it down to matters related to Robot and, in some cases, Asynchronous communication and Extended Kalman filter. Computer vision is often connected to Simultaneous localization and mapping in his work.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation

A.I. Mourikis;S.I. Roumeliotis.
international conference on robotics and automation (2007)

1147 Citations

Distributed multirobot localization

S.I. Roumeliotis;G.A. Bekey.
international conference on robotics and automation (2002)

913 Citations

A Kalman Filter-Based Algorithm for IMU-Camera Calibration: Observability Analysis and Performance Evaluation

F.M. Mirzaei;S.I. Roumeliotis.
IEEE Transactions on Robotics (2008)

474 Citations

SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations

A. Ribeiro;G.B. Giannakis;S. Roumeliotis.
IEEE Transactions on Signal Processing (2006)

390 Citations

Vision-Aided Inertial Navigation for Spacecraft Entry, Descent, and Landing

A.I. Mourikis;N. Trawny;S.I. Roumeliotis;A.E. Johnson.
IEEE Transactions on Robotics (2009)

364 Citations

A Direct Least-Squares (DLS) method for PnP

Joel A. Hesch;Stergios I. Roumeliotis.
international conference on computer vision (2011)

304 Citations

Bayesian estimation and Kalman filtering: a unified framework for mobile robot localization

S.I. Roumeliotis;G.A. Bekey.
international conference on robotics and automation (2000)

300 Citations

Weighted line fitting algorithms for mobile robot map building and efficient data representation

S.T. Pfister;S.I. Roumeliotis;J.W. Burdick.
international conference on robotics and automation (2003)

277 Citations

Augmenting inertial navigation with image-based motion estimation

S.I. Roumeliotis;A.E. Johnson;J.F. Montgomery.
international conference on robotics and automation (2002)

276 Citations

Performance analysis of multirobot Cooperative localization

A.I. Mourikis;S.I. Roumeliotis.
IEEE Transactions on Robotics (2006)

253 Citations

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Best Scientists Citing Stergios I. Roumeliotis

Roland Siegwart

Roland Siegwart

ETH Zurich

Publications: 75

Gaurav S. Sukhatme

Gaurav S. Sukhatme

University of Southern California

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Larry Matthies

Larry Matthies

California Institute of Technology

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Shaojie Shen

Shaojie Shen

Hong Kong University of Science and Technology

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Luca Carlone

Luca Carlone

MIT

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John Leonard

John Leonard

MIT

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Davide Scaramuzza

Davide Scaramuzza

University of Zurich

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Frank Dellaert

Frank Dellaert

Georgia Institute of Technology

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Marc Pollefeys

Marc Pollefeys

ETH Zurich

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Lowell L. Wood

Lowell L. Wood

University of Washington

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Lihua Xie

Lihua Xie

Nanyang Technological University

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Kostas Daniilidis

Kostas Daniilidis

University of Pennsylvania

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Franz Hlawatsch

Franz Hlawatsch

TU Wien

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Shoudong Huang

Shoudong Huang

University of Technology Sydney

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Zidong Wang

Zidong Wang

Brunel University London

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Anastasios I. Mourikis

Anastasios I. Mourikis

University of California, Riverside

Publications: 19

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