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 37 Citations 7,185 248 World Ranking 5162 National Ranking 143

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

His scientific interests lie mostly in Artificial intelligence, Computer vision, Simultaneous localization and mapping, Mobile robot and Extended Kalman filter. His Artificial intelligence study combines topics in areas such as State and Pattern recognition. Gamini Dissanayake has included themes like Range, Robot, Global Map and Visualization in his Computer vision study.

His Simultaneous localization and mapping research is multidisciplinary, incorporating perspectives in RGB color model, Image sensor, Computational geometry and Sonar. His studies deal with areas such as Path, Landmark, Filter and Data mining as well as Mobile robot. His Extended Kalman filter study incorporates themes from Continuous-wave radar, Time horizon, Bistatic radar and Radar tracker.

His most cited work include:

  • The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications (335 citations)
  • Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (313 citations)
  • Convergence and Consistency Analysis for Extended Kalman Filter Based SLAM (292 citations)

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

His primary areas of investigation include Artificial intelligence, Computer vision, Robot, Mobile robot and Simultaneous localization and mapping. His study brings together the fields of Machine learning and Artificial intelligence. The Computer vision study combines topics in areas such as Range and Representation.

His Robot study combines topics from a wide range of disciplines, such as Probabilistic logic, Simulation and Control theory. His biological study deals with issues like Motion planning, which deal with fields such as Motion control. The concepts of his Simultaneous localization and mapping study are interwoven with issues in State vector, Covariance, Mathematical optimization, Algorithm and Fisher information.

He most often published in these fields:

  • Artificial intelligence (49.86%)
  • Computer vision (35.69%)
  • Robot (25.50%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (49.86%)
  • Computer vision (35.69%)
  • Algorithm (13.60%)

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

Gamini Dissanayake mainly investigates Artificial intelligence, Computer vision, Algorithm, Robot and Extended Kalman filter. Gamini Dissanayake applies his multidisciplinary studies on Artificial intelligence and Inertial frame of reference in his research. Gamini Dissanayake regularly ties together related areas like Simultaneous localization and mapping in his Computer vision studies.

His biological study spans a wide range of topics, including Feature and Applied mathematics. Gamini Dissanayake mostly deals with Mobile robot in his studies of Robot. His Extended Kalman filter study combines topics in areas such as Estimator and Convolutional neural network.

Between 2016 and 2021, his most popular works were:

  • Convergence and Consistency Analysis for a 3-D Invariant-EKF SLAM (68 citations)
  • Gaussian processes autonomous mapping and exploration for range-sensing mobile robots (47 citations)
  • MIS-SLAM: Real-Time Large-Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing (37 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer vision

Gamini Dissanayake mostly deals with Artificial intelligence, Computer vision, Simultaneous localization and mapping, Extended Kalman filter and Gaussian process. His research integrates issues of Encoder and Key in his study of Artificial intelligence. His study in the fields of Monocular and Image segmentation under the domain of Computer vision overlaps with other disciplines such as Field, Minimal invasive surgery and Stereoscope.

His Simultaneous localization and mapping research incorporates elements of Fisher information, Odometry and Applied mathematics. The various areas that Gamini Dissanayake examines in his Extended Kalman filter study include Algorithm and Estimator. His Gaussian process study integrates concerns from other disciplines, such as Data mining, Mutual information, Mobile telephony, Control engineering and Occupancy grid mapping.

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

The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications

G. Dissanayake;S. Sukkarieh;E. Nebot;H. Durrant-Whyte.
international conference on robotics and automation (2001)

490 Citations

Convergence and Consistency Analysis for Extended Kalman Filter Based SLAM

Shoudong Huang;Gamini Dissanayake.
IEEE Transactions on Robotics (2007)

470 Citations

Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm

R N Khushaba;S Kodagoda;S Lal;G Dissanayake.
IEEE Transactions on Biomedical Engineering (2011)

464 Citations

A computationally efficient solution to the simultaneous localisation and map building (SLAM) problem

G. Dissanayake;H. Durrant-Whyte;T. Bailey.
international conference on robotics and automation (2000)

372 Citations

Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals

Rami N. Khushaba;Sarath Kodagoda;Maen Takruri;Gamini Dissanayake.
Expert Systems With Applications (2012)

257 Citations

An experiment in autonomous navigation of an underground mining vehicle

S. Scheding;G. Dissanayake;E.M. Nebot;H. Durrant-Whyte.
international conference on robotics and automation (1999)

211 Citations

An efficient approach to the simultaneous localisation and mapping problem

S.B. Williams;G. Dissanayake;H. Durrant-Whyte.
international conference on robotics and automation (2002)

208 Citations

Autonomous underwater simultaneous localisation and map building

S.B. Williams;P. Newman;G. Dissanayake;H. Durrant-Whyte.
international conference on robotics and automation (2000)

190 Citations

Towards multi-vehicle simultaneous localisation and mapping

S.B. Williams;G. Dissanayake;H. Durrant-Whyte.
international conference on robotics and automation (2002)

171 Citations

Towards terrain-aided navigation for underwater robotics

Stefan B. Williams;Gamini Dissanayake;Hugh F. Durrant-Whyte.
Advanced Robotics (2001)

164 Citations

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Best Scientists Citing Gamini Dissanayake

Wolfram Burgard

Wolfram Burgard

University of Freiburg

Publications: 46

Hugh Durrant-Whyte

Hugh Durrant-Whyte

University of Sydney

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Salah Sukkarieh

Salah Sukkarieh

University of Sydney

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Sebastian Thrun

Sebastian Thrun

Stanford University

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Shoudong Huang

Shoudong Huang

University of Technology Sydney

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Luca Carlone

Luca Carlone

MIT

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Roland Siegwart

Roland Siegwart

ETH Zurich

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John Leonard

John Leonard

MIT

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Stergios I. Roumeliotis

Stergios I. Roumeliotis

University of Minnesota

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Frank Dellaert

Frank Dellaert

Georgia Institute of Technology

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Eduardo Nebot

Eduardo Nebot

University of Sydney

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Cyrill Stachniss

Cyrill Stachniss

University of Bonn

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Ryan M. Eustice

Ryan M. Eustice

University of Michigan–Ann Arbor

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Fabio Ramos

Fabio Ramos

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Paulo Oliveira

Paulo Oliveira

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Carlos Silvestre

Carlos Silvestre

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