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 34 Citations 6,178 140 World Ranking 6193 National Ranking 2989

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Programming language

His primary scientific interests are in Artificial intelligence, Computer vision, Motion planning, Simultaneous localization and mapping and Monocular. In the subject of general Artificial intelligence, his work in Robot and Machine vision is often linked to Obstacle, thereby combining diverse domains of study. His studies deal with areas such as Artificial neural network and Convolutional neural network as well as Computer vision.

His work deals with themes such as Cognitive neuroscience of visual object recognition and Feature extraction, which intersect with Convolutional neural network. His Motion planning study integrates concerns from other disciplines, such as Human operator, Real-time computing, Ground vehicles and Collision avoidance. His research investigates the connection with Machine learning and areas like Occupancy grid mapping which intersect with concerns in Visual odometry.

His most cited work include:

  • VoxNet: A 3D Convolutional Neural Network for real-time object recognition (1633 citations)
  • Flying Fast and Low Among Obstacles: Methodology and Experiments (161 citations)
  • Structure of the Type VI Secretion System Contractile Sheath (159 citations)

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

His primary areas of study are Artificial intelligence, Computer vision, Motion planning, Robot and Lidar. His work on Artificial intelligence deals in particular with Robustness, Visual odometry, Point cloud, Segmentation and Robotics. His Point cloud study frequently draws parallels with other fields, such as Feature extraction.

His research integrates issues of Simultaneous localization and mapping and Odometry in his study of Computer vision. His Motion planning research is multidisciplinary, incorporating elements of Mobile robot, Real-time computing, Simulation, Mathematical optimization and Computation. The concepts of his Robot study are interwoven with issues in Cinematography and Trajectory, Control theory.

He most often published in these fields:

  • Artificial intelligence (53.99%)
  • Computer vision (42.25%)
  • Motion planning (17.37%)

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

  • Artificial intelligence (53.99%)
  • Computer vision (42.25%)
  • Robot (17.37%)

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

Sebastian Scherer mainly focuses on Artificial intelligence, Computer vision, Robot, Odometry and Human–computer interaction. His Feature extraction, Robotics, Robustness, Inertial measurement unit and Tracking investigations are all subjects of Artificial intelligence research. His Point cloud and Feature study, which is part of a larger body of work in Computer vision, is frequently linked to Line, bridging the gap between disciplines.

His work on Underactuation as part of general Robot research is often related to SIMPLE, Remote control and Pipeline, thus linking different fields of science. Many of his studies on Odometry apply to State as well. His Human–computer interaction study incorporates themes from Cinematography, Mobile robot and Trajectory optimization.

Between 2019 and 2021, his most popular works were:

  • Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making (17 citations)
  • TartanAir: A Dataset to Push the Limits of Visual SLAM (15 citations)
  • Visual Memorability for Robotic Interestingness via Unsupervised Online Learning. (7 citations)

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

  • Artificial intelligence
  • Computer vision
  • Programming language

Sebastian Scherer mostly deals with Artificial intelligence, Computer vision, Feature extraction, Set and Pipeline. He incorporates Artificial intelligence and Block in his research. His study brings together the fields of Odometry and Computer vision.

His Feature extraction research integrates issues from Perspective and Machine learning, Feature, Feature. The study incorporates disciplines such as Optical flow, Ground truth and Benchmark in addition to Set. His Point cloud research is multidisciplinary, incorporating perspectives in Projection, Modality, Monocular camera, Lidar and Data set.

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

VoxNet: A 3D Convolutional Neural Network for real-time object recognition

Daniel Maturana;Sebastian Scherer.
intelligent robots and systems (2015)

2254 Citations

3D Convolutional Neural Networks for landing zone detection from LiDAR

Daniel Maturana;Sebastian Scherer.
international conference on robotics and automation (2015)

216 Citations

Flying Fast and Low Among Obstacles: Methodology and Experiments

Sebastian Scherer;Sanjiv Singh;Lyle Chamberlain;Mike Elgersma.
The International Journal of Robotics Research (2008)

199 Citations

Structure of the Type VI Secretion System Contractile Sheath

Mikhail Kudryashev;Ray Yu Ruei Wang;Maximilian Brackmann;Sebastian Scherer.
Cell (2015)

191 Citations

An Onboard Monocular Vision System for Autonomous Takeoff, Hovering and Landing of a Micro Aerial Vehicle

Shaowu Yang;Sebastian A. Scherer;Andreas Zell.
Journal of Intelligent and Robotic Systems (2013)

183 Citations

First results in detecting and avoiding frontal obstacles from a monocular camera for micro unmanned aerial vehicles

Tomoyuki Mori;Sebastian Scherer.
international conference on robotics and automation (2013)

167 Citations

UUV Simulator: A Gazebo-based package for underwater intervention and multi-robot simulation

Musa Morena Marcusso Manhaes;Sebastian A. Scherer;Martin Voss;Luiz Ricardo Douat.
oceans conference (2016)

162 Citations

River mapping from a flying robot: state estimation, river detection, and obstacle mapping

Sebastian Scherer;Joern Rehder;Supreeth Achar;Hugh Cover.
Autonomous Robots (2012)

151 Citations

Flying Fast and Low Among Obstacles

S. Scherer;S. Singh;L. Chamberlain;S. Saripalli.
international conference on robotics and automation (2007)

131 Citations

CubeSLAM: Monocular 3-D Object SLAM

Shichao Yang;Sebastian Scherer.
IEEE Transactions on Robotics (2019)

130 Citations

Best Scientists Citing Sebastian Scherer

Roland Siegwart

Roland Siegwart

ETH Zurich

Publications: 32

Sven Behnke

Sven Behnke

University of Bonn

Publications: 29

Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

Publications: 24

Eric Cascales

Eric Cascales

Aix-Marseille University

Publications: 22

Kostas Alexis

Kostas Alexis

University of Nevada Reno

Publications: 21

Jonathan Li

Jonathan Li

University of Waterloo

Publications: 19

Jiaya Jia

Jiaya Jia

Chinese University of Hong Kong

Publications: 19

Hao Su

Hao Su

University of California, San Diego

Publications: 16

Yu-Kun Lai

Yu-Kun Lai

Cardiff University

Publications: 16

Davide Scaramuzza

Davide Scaramuzza

University of Zurich

Publications: 15

Andreas Geiger

Andreas Geiger

University of Tübingen

Publications: 15

Uwe Stilla

Uwe Stilla

Technical University of Munich

Publications: 15

Juan Nieto

Juan Nieto

ETH Zurich

Publications: 15

Junsong Yuan

Junsong Yuan

University at Buffalo, State University of New York

Publications: 14

Matthias Nießner

Matthias Nießner

Technical University of Munich

Publications: 14

Anibal Ollero

Anibal Ollero

University of Seville

Publications: 14

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-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
Something went wrong. Please try again later.