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 30 Citations 7,370 85 World Ranking 8678 National Ranking 172

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His main research concerns Artificial intelligence, Robot, Robustness, Computer vision and Simultaneous localization and mapping. His biological study deals with issues like Pattern recognition, which deal with fields such as Minimum spanning tree. His research in Robot intersects with topics in Data-driven and Human–computer interaction.

The study incorporates disciplines such as Point cloud and Search and rescue in addition to Robustness. His Stereo cameras, Smoothing, Bundle adjustment and Coordinate system study in the realm of Computer vision interacts with subjects such as Scale. His Robotics study integrates concerns from other disciplines, such as Coarse to fine, Machine learning, Deep learning and Augmented reality.

His most cited work include:

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age (1201 citations)
  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age (455 citations)
  • From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots (180 citations)

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

Cesar Cadena mostly deals with Artificial intelligence, Computer vision, Robot, Segmentation and Machine learning. In his study, Pixel is strongly linked to Pattern recognition, which falls under the umbrella field of Artificial intelligence. His Computer vision research integrates issues from Simultaneous localization and mapping and Task.

His research integrates issues of Kalman filter, Information filtering system and Human–computer interaction in his study of Simultaneous localization and mapping. His Search and rescue and Motion planning study, which is part of a larger body of work in Robot, is frequently linked to Metric, bridging the gap between disciplines. Within one scientific family, he focuses on topics pertaining to Pose under Robotics, and may sometimes address concerns connected to Leverage.

He most often published in these fields:

  • Artificial intelligence (78.40%)
  • Computer vision (44.80%)
  • Robot (31.20%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (78.40%)
  • Computer vision (44.80%)
  • Segmentation (21.60%)

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

Artificial intelligence, Computer vision, Segmentation, Robot and Key are his primary areas of study. His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence. In the field of Computer vision, his study on Object overlaps with subjects such as Code.

Cesar Cadena has researched Segmentation in several fields, including Pixel, Anomaly detection and Image. His biological study spans a wide range of topics, including Distributed computing and State. His research investigates the connection between Distributed computing and topics such as Task analysis that intersect with problems in Global Map, Odometry and Simultaneous localization and mapping.

Between 2019 and 2021, his most popular works were:

  • SegMap: Segment-based mapping and localization using data-driven descriptors: (31 citations)
  • Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps (11 citations)
  • Depth Based Semantic Scene Completion With Position Importance Aware Loss (9 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Cesar Cadena focuses on Artificial intelligence, Computer vision, Segmentation, Key and Representation. His study in Benchmark, Robotics, Sensor fusion, Simultaneous localization and mapping and Artificial neural network is carried out as part of his studies in Artificial intelligence. His work deals with themes such as Real-time computing, Data-driven, Autoencoder and Global Map, which intersect with Robotics.

The concepts of his Computer vision study are interwoven with issues in Robot and Task. His Robot research is multidisciplinary, incorporating perspectives in 3D reconstruction and Convolutional neural network. As part of one scientific family, he deals mainly with the area of Segmentation, narrowing it down to issues related to the Deep learning, and often Orb, Inpainting, Hallucinating and Visual odometry.

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

Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif.
IEEE Transactions on Robotics (2016)

1825 Citations

Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif.
IEEE Transactions on Robotics (2016)

1349 Citations

From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots

Mark Pfeiffer;Michael Schaeuble;Juan Nieto;Roland Siegwart.
international conference on robotics and automation (2017)

228 Citations

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

Paul-Edouard Sarlin;Cesar Cadena;Roland Siegwart;Marcin Dymczyk.
computer vision and pattern recognition (2019)

218 Citations

Robust loop closing over time for pose graph SLAM

Yasir Latif;César Cadena;José Neira.
The International Journal of Robotics Research (2013)

201 Citations

SegMatch: Segment based place recognition in 3D point clouds

Renaud Dube;Daniel Dugas;Elena Stumm;Juan Nieto.
international conference on robotics and automation (2017)

145 Citations

Real-time 6-DOF multi-session visual SLAM over large-scale environments

J. Mcdonald;M. Kaess;C. Cadena;J. Neira.
Robotics and Autonomous Systems (2013)

93 Citations

Robust Place Recognition With Stereo Sequences

C. Cadena;D. Galvez-López;J. D. Tardos;J. Neira.
IEEE Transactions on Robotics (2012)

92 Citations

The current state and future outlook of rescue robotics

Jeffrey A. Delmerico;Stefano Mintchev;Alessandro Giusti;Boris Gromov.
Journal of Field Robotics (2019)

86 Citations

Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding

Cesar Cadena;Anthony R. Dick;Ian D. Reid.
robotics science and systems (2016)

79 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Cesar Cadena

Michael Milford

Michael Milford

Queensland University of Technology

Publications: 68

Roland Siegwart

Roland Siegwart

ETH Zurich

Publications: 52

Luca Carlone

Luca Carlone

MIT

Publications: 34

Shoudong Huang

Shoudong Huang

University of Technology Sydney

Publications: 33

Torsten Sattler

Torsten Sattler

Czech Technical University in Prague

Publications: 30

Ming Liu

Ming Liu

Hong Kong University of Science and Technology

Publications: 28

Davide Scaramuzza

Davide Scaramuzza

University of Zurich

Publications: 24

Juan Nieto

Juan Nieto

ETH Zurich

Publications: 23

Marc Pollefeys

Marc Pollefeys

ETH Zurich

Publications: 21

Peter Stone

Peter Stone

The University of Texas at Austin

Publications: 20

Jonathan P. How

Jonathan P. How

MIT

Publications: 20

Dinesh Manocha

Dinesh Manocha

University of Maryland, College Park

Publications: 18

Michael Kaess

Michael Kaess

Carnegie Mellon University

Publications: 17

John Leonard

John Leonard

MIT

Publications: 17

Gamini Dissanayake

Gamini Dissanayake

University of Technology Sydney

Publications: 16

Niki Trigoni

Niki Trigoni

University of Oxford

Publications: 15

Trending Scientists

Ioannis Krikidis

Ioannis Krikidis

University of Cyprus

David J. Lilja

David J. Lilja

University of Minnesota

Alexander Tessler

Alexander Tessler

Langley Research Center

Frank W. Putnam

Frank W. Putnam

Indiana University

Minghua Zhou

Minghua Zhou

Nankai University

Xiangdong Ding

Xiangdong Ding

Xi'an Jiaotong University

Dmitry G. Shchukin

Dmitry G. Shchukin

University of Liverpool

Nick Goldman

Nick Goldman

European Bioinformatics Institute

Takashi Horiuchi

Takashi Horiuchi

National Institutes of Natural Sciences

Cleber Galvão

Cleber Galvão

Oswaldo Cruz Foundation

James Goff

James Goff

UNSW Sydney

Margaret M. Harnett

Margaret M. Harnett

University of Glasgow

George L. King

George L. King

Harvard University

E. Sander Connolly

E. Sander Connolly

Columbia University

Valerie P. Hans

Valerie P. Hans

Cornell University

Andrew J. King

Andrew J. King

University of Leicester

Something went wrong. Please try again later.