World's Best Scientists 2026 revealed!
Henrik Andreasson

Henrik Andreasson

D-Index & Metrics

Computer Science

D-Index
31
Citations
3165
World Ranking
13772
National Ranking
106

Overview

Henrik Andreasson is affiliated with Örebro University in Sweden and has contributed extensively to research in engineering and computer science. Their work spans a range of subfields, with a focus on aerospace engineering, plant science, environmental engineering, computer vision and pattern recognition, and electrical and electronic engineering.

The primary topics of Andreasson's research include robotics and sensor-based localization, remote sensing and LiDAR applications, indoor and outdoor localization technologies, robotic path planning algorithms, smart agriculture and artificial intelligence, computational geometry and mesh generation, and advanced vision and imaging.

Andreasson's recent publications demonstrate an active engagement with robotics and localization technologies. Notable papers include:

  • "CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry," 2021, published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments," 2022, IEEE Transactions on Robotics
  • "Point Set Registration for 3D Range Scans Using Fuzzy Cluster-Based Metric and Efficient Global Optimization," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "TBV Radar SLAM - Trust but Verify Loop Candidates," 2023, IEEE Robotics and Automation Letters
  • "Online Task Assignment and Coordination in Multi-Robot Fleets," 2021, IEEE Robotics and Automation Letters

Frequent co-authors in Andreasson's work include Daniel Adolfsson, Achim J. Lilienthal, Martin Magnusson, Anas Alhashimi, and Ajay Arunachalam. This collaboration network highlights a consistent engagement with researchers active in robotics and automation.

Andreasson's research findings have frequently appeared in established publication venues, including:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Sensors
  • IEEE Transactions on Robotics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Best Publications

  • Fast and accurate scan registration through minimization of the distance between compact 3D NDT representations

    Todor Dimitrov Stoyanov;Martin Magnusson;Henrik Andreasson;Achim Lilienthal

  • 3D modeling of indoor environments by a mobile robot with a laser scanner and panoramic camera

    P. Biber;H. Andreasson;T. Duckett;A. Schilling

  • That’s on my mind! robot to human intention communication through on-board projection on shared floor space

    Ravi Teja Chadalavada;Henrik Andreasson;Robert Krug;Achim J. Lilienthal

  • Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter

    H. Andreasson;A. Treptow;T. Duckett

  • Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT

    Hashem Tamimi;Henrik Andreasson;André Treptow;Tom Duckett

  • Appearance-based loop detection from 3D laser data using the normal distributions transform

    Martin Magnusson;Henrik Andreasson;Andreas Nuchter;Achim J. Lilienthal

  • Normal distributions transform Monte-Carlo localization (NDT-MCL)

    Jari Saarinen;Henrik Andreasson;Todor Stoyanov;Achim J. Lilienthal

  • Normal Distributions Transform Occupancy Maps: Application to large-scale online 3D mapping

    Jari Saarinen;Henrik Andreasson;Todor Stoyanov;Juha Ala-Luhtala

  • 3D normal distributions transform occupancy maps: An efficient representation for mapping in dynamic environments

    Jari P. Saarinen;Henrik Andreasson;Todor Stoyanov;Achim J. Lilienthal

  • Autonomous Transport Vehicles: Where We Are and What Is Missing

    Henrik Andreasson;Abdelbaki Bouguerra;Marcello Cirillo;Dimitar Nikolaev Dimitrov

  • Independent Markov chain occupancy grid maps for representation of dynamic environment

    Jari Saarinen;Henrik Andreasson;Achim J. Lilienthal

  • Automatic appearance-based loop detection from three-dimensional laser data using the normal distributions transform

    Martin Magnusson;Henrik Andreasson;Andreas Nüchter;Achim J. Lilienthal

  • Has somethong changed here? Autonomous difference detection for security patrol robots

    H. Andreasson;M. Magnusson;A. Lilienthal

  • Comparative evaluation of range sensor accuracy in indoor environments

    Todor Stoyanov;Athanasia Louloudi;Henrik Andreasson;Achim J. Lilienthal

  • Bi-directional navigation intent communication using spatial augmented reality and eye-tracking glasses for improved safety in human–robot interaction

    Ravi Teja Chadalavada;Henrik Andreasson;Maike Schindler;Rainer Palm

  • Automatic appearance-based loop detection from three-dimensional laser data using the normal distributions transform: Magnusson et al.: Automatic Appearance-Based Loop Detection from 3D Laser Data Using NDT

    Martin Magnusson;Henrik Andreasson;Andreas Nüchter;Achim J. Lilienthal

  • Topological localization for mobile robots using omni-directional vision and local features

    Henrik Andreasson;Tom Duckett

  • Path planning in 3D environments using the Normal Distributions Transform

    Todor Stoyanov;Martin Magnusson;Henrik Andreasson;Achim J. Lilienthal

  • Mini-SLAM: Minimalistic Visual SLAM in Large-Scale Environments Based on a New Interpretation of Image Similarity

    H. Andreasson;T. Duckett;A. Lilienthal

  • The Next Step in Robot Commissioning: Autonomous Picking and Palletizing

    Robert Krug;Todor Stoyanov;Vinicio Tincani;Henrik Andreasson

  • Localization in highly dynamic environments using dual-timescale NDT-MCL

    Rafael Valencia;Jari Saarinen;Henrik Andreasson;Joan Vallvé

  • Comparative evaluation of range sensor accuracy for indoor mobile robotics and automated logistics applications

    Todor Stoyanov;Rasoul Mojtahedzadeh;Henrik Andreasson;Achim J. Lilienthal

  • A Minimalistic Approach to Appearance-Based Visual SLAM

    H. Andreasson;T. Duckett;A.J. Lilienthal

  • Omnidirectional 3D Modeling on a Mobile Robot using Graph Cuts

    S. Fleck;F. Busch;P. Biber;W. Strasser

  • Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments

    Unknown

Frequent Co-Authors

Achim J. Lilienthal
Achim J. Lilienthal Technical University of Munich
Tom Duckett
Tom Duckett University of Lincoln
Andreas Nüchter
Andreas Nüchter University of Würzburg
Ingmar Posner
Ingmar Posner University of Oxford
Andreas Zell
Andreas Zell University of Tübingen
Juan Andrade-Cetto
Juan Andrade-Cetto Universitat Politècnica de Catalunya
Bastian Leibe
Bastian Leibe RWTH Aachen University
Giorgio Grisetti
Giorgio Grisetti Sapienza University of Rome
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Antonio Bicchi
Antonio Bicchi Italian Institute of Technology

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