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Computer Science

D-Index
35
Citations
10867
World Ranking
11433
National Ranking
213

Overview

Hans Hellendoorn is affiliated with Delft University of Technology in the Netherlands, focusing on research in engineering and computer science. Their work spans several subfields, including automotive engineering, computer vision and pattern recognition, control and systems engineering, industrial and manufacturing engineering, and information systems and management.

The scientist's research topics cover a range of areas related to vehicle dynamics, control systems, and advanced neural network applications. Specific topics include:

  • Vehicle Dynamics and Control Systems
  • Autonomous Vehicle Technology and Safety
  • Industrial Vision Systems and Defect Detection
  • Advanced Neural Network Applications
  • Control and Dynamics of Mobile Robots
  • Robotic Path Planning Algorithms
  • Interdisciplinary Research and Collaboration

Hans Hellendoorn has published multiple papers in recognized venues. Recent publications include:

  • "Control of a Scaled Vehicle in and Beyond Stable Limit Handling," 2021, IEEE Transactions on Vehicular Technology
  • "Transforming Engineering Education in Learning Ecosystems for Resilient Engineers," 2023, IEEE Transactions on Education
  • "Sequential Neural Network Model with Spatial-Temporal Attention Mechanism for Robust Lane Detection Using Multi Continuous Image Frames," 2022, SSRN Electronic Journal (two papers with same title)

Frequent coauthors in Hellendoorn's research include Mart Baars, Mohsen Alirezaei, Sandeep Patil, Yongqi Dong, and Haneen Farah. Collaboration with these authors has contributed to various topics in the scientist's fields of study.

The venues where Hellendoorn most frequently publishes are:

  • SSRN Electronic Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Education

Best Publications

  • An Introduction to Fuzzy Control

    D. Driankov;H. Hellendoorn;M. Reinfrank

  • Model predictive control for optimal coordination of ramp metering and variable speed limits

    Andreas Hegyi;Bart De Schutter;Hans Hellendoorn

  • An Introduction to Fuzzy Control

    Unknown

  • Survey paper: A survey on industrial applications of fuzzy control

    Radu-Emil Precup;Hans Hellendoorn

  • Defuzzification in Fuzzy Controllers

    Hans Hellendoorn;Christoph Thomas

  • Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers

    Rainer Palm;Hans Hellendoorn;Dimiter Driankov

  • Model Based Fuzzy Control

    Rainer Palm;Hans Hellendoorn;Dimiter Driankov

  • Fuzzy model identification: selected approaches

    Hans Hellendoorn;Dimiter Driankov

  • Fast Model Predictive Control for Urban Road Networks via MILP

    Shu Lin;B. De Schutter;Yugeng Xi;H. Hellendoorn

  • An introduction to fuzzy control (2nd ed.)

    Dimiter Driankov;Hans Hellendoorn;Michael Reinfrank

  • Efficient network-wide model-based predictive control for urban traffic networks

    Shu Lin;Shu Lin;Shu Lin;Bart De Schutter;Yugeng Xi;Yugeng Xi;Hans Hellendoorn

  • Fuzzy Model Identification

    Hans Hellendoorn;Dimiter Driankov

  • Integrated traffic control for mixed urban and freeway networks: a model predictive control approach

    M. Van den Berg;A. Hegyi;B. De Schutter;H. Hellendoorn

  • Traffic Management for Automated Highway Systems Using Model-Based Predictive Control

    L. D. Baskar;B. De Schutter;H. Hellendoorn

  • A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies

    S. K. Zegeye;B. De Schutter;J. Hellendoorn;E. A. Breunesse

  • Optimal coordination of ramp metering and variable speed control-an MPC approach

    A. Hegyi;B. De Schutter;H. Hellendoorn;T. van den Boom

  • Optimal dynamic route guidance: A model predictive approach using the macroscopic fundamental diagram

    Mohammad Hajiahmadi;Victor L. Knoop;Bart De Schutter;Hans Hellendoorn

  • Integrated Urban Traffic Control for the Reduction of Travel Delays and Emissions

    Shu Lin;Bart De Schutter;Yugeng Xi;Hans Hellendoorn

  • Model-based traffic control for balanced reduction of fuel consumption, emissions, and travel time

    Solomon Kidane Zegeye;Bart De Schutter;Hans Hellendoorn;Ewald Breunesse

  • Learning-based model predictive control for Markov decision processes

    Rudy R. Negenborn;Bart De Schutter;Marco A. Wiering;Hans Hellendoorn

  • Intelligent Infrastructures

    Rudy R. Negenborn;Zofia Lukszo;Hans Hellendoorn

  • Multi-Agent Model Predictive Control of Transportation Networks

    R.R. Negenborn;B. De Schutter;H. Hellendoorn

  • Multi-agent model predictive control for transportation networks: serial versus parallel schemes

    Rudy R. Negenborn;Bart De Schutter;Hans Hellendoorn

Frequent Co-Authors

Bart De Schutter
Bart De Schutter Delft University of Technology
B. De Schutter
B. De Schutter Delft University of Technology
Andreas Hegyi
Andreas Hegyi Delft University of Technology
Rudy R. Negenborn
Rudy R. Negenborn Delft University of Technology
Radu-Emil Precup
Radu-Emil Precup Polytechnic University of Timişoara
Eduardo F. Camacho
Eduardo F. Camacho University of Seville
Markos Papageorgiou
Markos Papageorgiou Technical University of Crete
Ioannis Papamichail
Ioannis Papamichail Technical University of Crete
Manuel Mazo
Manuel Mazo University of Alcalá

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