H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 36 Citations 7,110 124 World Ranking 5579 National Ranking 156

Research.com Recognitions

Awards & Achievements

2008 - IEEE Fellow For contributions to vision-based robotics

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Robotics

Artificial intelligence, Computer vision, Robot, Gaze and Robotics are his primary areas of study. His research investigates the connection between Artificial intelligence and topics such as Algorithm that intersect with issues in Facial motion capture. His Computer vision research integrates issues from Detector and Robustness.

His Mobile robot and Robot control study in the realm of Robot connects with subjects such as Distance transform. The study incorporates disciplines such as Facial recognition system and Eye tracking in addition to Gaze. His work carried out in the field of Robotics brings together such families of science as Symbol grounding, Q-learning, Reinforcement learning and Human–computer interaction.

His most cited work include:

  • Fast radial symmetry for detecting points of interest (517 citations)
  • Facial image processing system (336 citations)
  • An algorithm for real-time stereo vision implementation of head pose and gaze direction measurement (299 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Mobile robot, Robot and Mobile robot navigation. His study looks at the intersection of Computer vision and topics like Human–robot interaction with Robotic arm. His Mobile robot study integrates concerns from other disciplines, such as Motion planning and Human–computer interaction.

The concepts of his Robot study are interwoven with issues in Control system, Simulation, Trajectory and Sonar. His Mobile robot navigation research is multidisciplinary, incorporating perspectives in Navigation system and Obstacle avoidance. Alexander Zelinsky studied Robot control and Control engineering that intersect with Robustness.

He most often published in these fields:

  • Artificial intelligence (71.79%)
  • Computer vision (53.21%)
  • Mobile robot (35.26%)

What were the highlights of his more recent work (between 2003-2014)?

  • Artificial intelligence (71.79%)
  • Computer vision (53.21%)
  • Advanced driver assistance systems (9.62%)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Advanced driver assistance systems, Robotics and Gaze. The Artificial intelligence study combines topics in areas such as Automation, Pedestrian detection and Detector. Alexander Zelinsky conducted interdisciplinary study in his works that combined Computer vision and Object detection.

As a part of the same scientific study, Alexander Zelinsky usually deals with the Robotics, concentrating on Engineering management and frequently concerns with Educational robotics. His Gaze research incorporates elements of Robotic arm, Human–robot interaction and Human–computer interaction. Alexander Zelinsky studies Robot, namely Mobile robot.

Between 2003 and 2014, his most popular works were:

  • Planning Paths of Complete Coverage of an Unstructured Environment by a Mobile Robot (220 citations)
  • Real-time radial symmetry for speed sign detection (150 citations)
  • Real-Time Speed Sign Detection Using the Radial Symmetry Detector (126 citations)

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

  • Artificial intelligence
  • Computer vision
  • Robotics

Alexander Zelinsky mainly investigates Computer vision, Artificial intelligence, Advanced driver assistance systems, Detector and Object detection. His work on Machine vision, Gaze and Active vision as part of general Computer vision research is frequently linked to Automotive industry and Inhibition of return, thereby connecting diverse disciplines of science. His Artificial intelligence research includes elements of Control system and Intelligent transport.

His Advanced driver assistance systems research is multidisciplinary, relying on both Computer security, Eye tracking and Vehicle dynamics. His research on Detector also deals with topics like

  • Pixel, which have a strong connection to Simulation,
  • Robustness that intertwine with fields like Simulated annealing. The Robot study which covers Real-time computing that intersects with Mobile robot.

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

Fast radial symmetry for detecting points of interest

G. Loy;A. Zelinsky.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

770 Citations

Planning Paths of Complete Coverage of an Unstructured Environment by a Mobile Robot

A. Zelinsky;R.A. Jarvis;J.C. Byrne;S. Yuta.
(2007)

456 Citations

An algorithm for real-time stereo vision implementation of head pose and gaze direction measurement

Y. Matsumoto;A. Zelinsky.
ieee international conference on automatic face and gesture recognition (2000)

451 Citations

Facial image processing system

Timothy Edwards;Jochen Heinzmann;Sebastian Rougeaux;Alex Zelinsky.
(2001)

388 Citations

A mobile robot exploration algorithm

A. Zelinsky.
international conference on robotics and automation (1992)

371 Citations

Quantitative Safety Guarantees for Physical Human-Robot Interaction

Jochen Heinzmann;Alexander Zelinsky.
The International Journal of Robotics Research (2003)

244 Citations

Robust vision based lane tracking using multiple cues and particle filtering

N. Apostoloff;A. Zelinsky.
intelligent vehicles symposium (2003)

218 Citations

Real-time radial symmetry for speed sign detection

N. Barnes;A. Zelinsky.
ieee intelligent vehicles symposium (2004)

213 Citations

Real-Time Speed Sign Detection Using the Radial Symmetry Detector

N. Barnes;A. Zelinsky;L.S. Fletcher.
IEEE Transactions on Intelligent Transportation Systems (2008)

190 Citations

3-D facial pose and gaze point estimation using a robust real-time tracking paradigm

J. Heinzmann;A. Zelinsky.
ieee international conference on automatic face and gesture recognition (1998)

188 Citations

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