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Computer Science

D-Index
52
Citations
9126
World Ranking
5151
National Ranking
308

Overview

Tom Duckett is affiliated with the University of Lincoln in the United Kingdom. Their research spans engineering and computer science, with a primary focus on robotics and sensor-based localization, advanced vision and imaging, and smart agriculture and AI.

Their work touches on several specialized subfields, including computer vision and pattern recognition, aerospace engineering, environmental engineering, plant science, and mechanical engineering. The scientist has addressed topics such as video surveillance and tracking methods, remote sensing and LiDAR applications, advanced image and video retrieval techniques, and soil moisture and remote sensing.

Tom Duckett has contributed to numerous research papers published in various venues, reflecting an engagement with both academic journals and conference proceedings. Some of their recent publications include:

  • Robot perception of static and dynamic objects with an autonomous floor scrubber, 2020, published in Intelligent Service Robotics
  • Kriging-based robotic exploration for soil moisture mapping using a cosmic-ray sensor, 2020, published in Lincoln Repository (University of Lincoln)
  • Robotic Exploration for Learning Human Motion Patterns, 2021, published in IEEE Transactions on Robotics
  • Robust and Long-term Monocular Teach and Repeat Navigation using a Single-experience Map, 2021, presented at the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Estimating soil aggregate size distribution from images using pattern spectra, 2020, published in Biosystems Engineering

Their research has appeared frequently in venues such as arXiv (Cornell University), Lincoln Repository (University of Lincoln), 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Journal of Robotics & Autonomous Systems, and Intelligent Service Robotics.

Collaboration is a significant part of Tom Duckett's work. Frequent coauthors include:

  • Zhi Yan
  • Grzegorz Cielniak
  • Li Sun
  • Tomáš Krajník
  • Nicola Bellotto

Best Publications

  • Scan registration for autonomous mining vehicles using 3D-NDT

    Martin Magnusson;Achim J. Lilienthal;Tom Duckett

  • A multilevel relaxation algorithm for simultaneous localization and mapping

    U. Frese;P. Larsson;T. Duckett

  • A Practical Multirobot Localization System

    Tomáš Krajník;Matías Nitsche;Jan Faigl;Petr Vanĕk

  • Dynamic maps for long-term operation of mobile service robots

    Peter Biber;Tom Duckett

  • Airborne chemical sensing with mobile robots

    Achim J. Lilienthal;Amy Loutfi;Tom Duckett

  • The STRANDS Project: Long-Term Autonomy in Everyday Environments

    Nick Hawes;Christopher Burbridge;Ferdian Jovan;Lars Kunze

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

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

  • Fast, On-Line Learning of Globally Consistent Maps

    Tom Duckett;Stephen Marsland;Jonathan Shapiro

  • Learning globally consistent maps by relaxation

    T. Duckett;S. Marsland;J. Shapiro

  • Creating gas concentration gridmaps with a mobile robot

    A. Lilienthal;T. Duckett

  • Artificial Intelligence for Long-Term Robot Autonomy: A Survey

    Lars Kunze;Nick Hawes;Tom Duckett;Marc Hanheide

  • FreMEn: Frequency Map Enhancement for Long-Term Mobile Robot Autonomy in Changing Environments

    Tomas Krajnik;Jaime P. Fentanes;Joao M. Santos;Tom Duckett

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

    H. Andreasson;A. Treptow;T. Duckett

  • Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture

    Petra Bosilj;Erchan Aptoula;Tom Duckett;Grzegorz Cielniak

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

    Hashem Tamimi;Henrik Andreasson;André Treptow;Tom Duckett

  • Online learning for human classification in 3D LiDAR-based tracking

    Zhi Yan;Tom Duckett;Nicola Bellotto

  • An adaptive appearance-based map for long-term topological localization of mobile robots

    F. Dayoub;T. Duckett

  • A genetic algorithm for simultaneous localization and mapping

    T. Duckett

  • 3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous Mobile Robot Deployment Data

    Li Sun;Zhi Yan;Sergi Molina Mellado;Marc Hanheide

  • A Novel Weakly-Supervised Approach for RGB-D-Based Nuclear Waste Object Detection

    Li Sun;Cheng Zhao;Zhi Yan;Pengcheng Liu

  • Incremental Spectral Clustering and Its Application To Topological Mapping

    C. Valgren;T. Duckett;A. Lilienthal

Frequent Co-Authors

Tomas Krajnik
Tomas Krajnik Czech Technical University in Prague
Achim J. Lilienthal
Achim J. Lilienthal Technical University of Munich
Henrik Andreasson
Henrik Andreasson Örebro University
Rustam Stolkin
Rustam Stolkin University of Birmingham
Alessandro Saffiotti
Alessandro Saffiotti Örebro University
Andreas Zell
Andreas Zell University of Tübingen
Gerhard Neumann
Gerhard Neumann Karlsruhe Institute of Technology
Michael Wand
Michael Wand Johannes Gutenberg University of Mainz
Bastian Leibe
Bastian Leibe RWTH Aachen University
Patric Jensfelt
Patric Jensfelt Royal Institute of Technology

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