H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 55 Citations 11,012 324 World Ranking 2169 National Ranking 98

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Computer vision, Robot, Mobile robot and Segmentation. Sven Behnke has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition. His research links Simultaneous localization and mapping with Computer vision.

His Robot research is multidisciplinary, incorporating perspectives in Gesture, Simulation and Human–computer interaction. While the research belongs to areas of Mobile robot, Sven Behnke spends his time largely on the problem of Humanoid robot, intersecting his research to questions surrounding Multimodal interaction. His Segmentation research includes elements of Object detection, Task, Connected component and Multi resolution.

His most cited work include:

  • Evaluation of pooling operations in convolutional architectures for object recognition (818 citations)
  • RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features (228 citations)
  • Real-time plane segmentation using RGB-D cameras (221 citations)

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

Sven Behnke spends much of his time researching Artificial intelligence, Robot, Computer vision, Humanoid robot and Human–computer interaction. His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence. The Pattern recognition study combines topics in areas such as Artificial neural network and Noise.

His Robot research incorporates elements of Simulation and Trajectory. His work in Computer vision is not limited to one particular discipline; it also encompasses Simultaneous localization and mapping. Sven Behnke combines subjects such as Visual perception, Teleoperation and Service robot with his study of Human–computer interaction.

He most often published in these fields:

  • Artificial intelligence (67.30%)
  • Robot (49.26%)
  • Computer vision (38.22%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (67.30%)
  • Robot (49.26%)
  • Computer vision (38.22%)

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

Sven Behnke mostly deals with Artificial intelligence, Robot, Computer vision, Segmentation and Human–computer interaction. His research in Artificial intelligence intersects with topics in Task and Pattern recognition. His Robot research is multidisciplinary, incorporating perspectives in Trajectory and Control theory.

The study incorporates disciplines such as Lidar and GRASP in addition to Computer vision. The Segmentation study combines topics in areas such as Semantics, Point cloud, Representation and Feature. His Human–computer interaction study which covers Teleoperation that intersects with Visualization.

Between 2017 and 2021, his most popular works were:

  • SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences (200 citations)
  • RGB-D object detection and semantic segmentation for autonomous manipulation in clutter: (87 citations)
  • Efficient Continuous-Time SLAM for 3D Lidar-Based Online Mapping (53 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

His main research concerns Artificial intelligence, Robot, Computer vision, Segmentation and Robotics. His Artificial intelligence study combines topics in areas such as Task and GRASP. The Robot study which covers Human–computer interaction that intersects with Teleoperation.

His study in the field of Object also crosses realms of Pipeline. Sven Behnke has researched Segmentation in several fields, including Point cloud and Semantic mapping. His biological study spans a wide range of topics, including Control, Task analysis and Automotive industry.

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.

Top Publications

Evaluation of pooling operations in convolutional architectures for object recognition

Dominik Scherer;Andreas Müller;Sven Behnke.
international conference on artificial neural networks (2010)

1446 Citations

Real-time plane segmentation using RGB-D cameras

Dirk Holz;Stefan Holzer;Radu Bogdan Rusu;Sven Behnke.
robot soccer world cup (2012)

332 Citations

RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features

Max Schwarz;Hannes Schulz;Sven Behnke.
international conference on robotics and automation (2015)

320 Citations

Hierarchical Neural Networks for Image Interpretation

Sven Behnke.
(2003)

289 Citations

Registration with the Point Cloud Library: A Modular Framework for Aligning in 3-D

Dirk Holz;Alexandru E. Ichim;Federico Tombari;Radu B. Rusu.
IEEE Robotics & Automation Magazine (2015)

220 Citations

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Jens Behley;Martin Garbade;Andres Milioto;Jan Quenzel.
international conference on computer vision (2019)

200 Citations

Multi-resolution surfel maps for efficient dense 3D modeling and tracking

Jörg Stückler;Sven Behnke.
Journal of Visual Communication and Image Representation (2014)

182 Citations

Online trajectory generation for omnidirectional biped walking

S. Behnke.
international conference on robotics and automation (2006)

180 Citations

Towards a humanoid museum guide robot that interacts with multiple persons

M. Bennewitz;F. Faber;D. Joho;M. Schreiber.
ieee-ras international conference on humanoid robots (2005)

157 Citations

Fast Range Image Segmentation and Smoothing using Approximate Surface Reconstruction and Region Growing

Dirk Holz;Sven Behnke.
IAS (2) (2013)

136 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us

Top Scientists Citing Sven Behnke

Jürgen Schmidhuber

Jürgen Schmidhuber

Dalle Molle Institute for Artificial Intelligence Research

Publications: 40

Wolfram Burgard

Wolfram Burgard

University of Freiburg

Publications: 34

Cyrill Stachniss

Cyrill Stachniss

University of Bonn

Publications: 34

Maren Bennewitz

Maren Bennewitz

University of Bonn

Publications: 25

Manuela Veloso

Manuela Veloso

Carnegie Mellon University

Publications: 25

Luca Maria Gambardella

Luca Maria Gambardella

Dalle Molle Institute for Artificial Intelligence Research

Publications: 22

Roland Siegwart

Roland Siegwart

ETH Zurich

Publications: 21

Panagiotis Tsiotras

Panagiotis Tsiotras

Georgia Institute of Technology

Publications: 20

Raúl Rojas

Raúl Rojas

Freie Universität Berlin

Publications: 17

Marco Hutter

Marco Hutter

ETH Zurich

Publications: 17

Barbara Caputo

Barbara Caputo

Polytechnic University of Turin

Publications: 17

Nikos G. Tsagarakis

Nikos G. Tsagarakis

Italian Institute of Technology

Publications: 17

Daniel Cremers

Daniel Cremers

Technical University of Munich

Publications: 16

Masayuki Inaba

Masayuki Inaba

University of Tokyo

Publications: 16

Mathieu Javaux

Mathieu Javaux

Université Catholique de Louvain

Publications: 16

Something went wrong. Please try again later.