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Dr Niko Suenderhauf

Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems

Personal

Name
Dr Niko Suenderhauf
Position(s)
Senior Lecturer
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Robotics and Autonomous Systems
Discipline *
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
Phone
+61 7 3138 9971
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD Twitter LinkedIn
Qualifications

PhD (Chemnitz University Of Technology)

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

I am a postdoctoral research fellow at the Australian Centre for Robotic Vision, at Queensland University of Technologyin Brisbane, Australia. My current research focuses on deep learning techniques for robust robotic vision.

I obtained my PhD degree with Chemnitz University of Technology (chair of Automation Technology, lead by Prof. Peter Protzel) in Germany in April 2012. After two more years as a postdoc in Chemnitz I joined the Robotics and Autonomous Systems Group at QUT in Brisbane in March 2014. Since August 2014 I am working with the Australian Centre for Robotic Vision.

During my PhD thesis I focused on robust graph-based models for SLAM and probabilistic estimation. More recently, place recognition and environmental perception under changing environments has attracted my attention. Within the field of mobile robotics, probabilistic techniques for sensor and data fusion and the problem of simultaneous localization and mapping (SLAM) have been fascinating me for a long time. Related questions of visual perception (using monocular, stereo, or RGB-D cameras), such as structure from motion, place recognition or object recognition interest me as well. The topic of multipath mitigation and how to improve the localization accuracy for satellite-based navigation systems (such as GPS) have been part of my PhD work. Besides all these Bayesian, algebraically well-defined techniques, I find biologically inspired approaches for SLAM and perception very appealing.

This information has been contributed by Dr Niko Suenderhauf.

Experience

Organized Workshops

Dedicated workshops are a great way of getting in contact with fellow researchers from around the world that are working on similar scientific questions. Over the past years I co-organized these workshops at international conferences:

Conference
Workshop Theme
Co-Organizers
ICRA 2015 Visual Place Recognition in Changing Environments Peter Corke, Michael Milford (QUT, Brisbane)
CVPR 2015 Visual Place Recognition in Changing Environments Peter Corke, Michael Milford (QUT, Brisbane), Torsten Sattler (ETH Zürich)
ICRA 2014 Visual Place Recognition in Changing Environments Peter Corke, Michael Milford (QUT, Brisbane)
ICRA 2013 Robust and Multimodal Inference in Factor Graphs John Leonard (MIT CSAIL), Edwin Olson (University of Michigan)

Reviews and Community Service

I am an associate editor for the IEEE Robotics & Automation Letters Journal and regularly serve as a reviewer for the major conferences and journals in our field:

  • International Journal of Robotics Research (IJRR)
  • IEEE Transaction on Robotics (TRO)
  • Journal of Robotics and Autonomous Systems (RAS)
  • International Journal of Field Robotics (IJFR)
  • International Conference on Robotics and Automation (ICRA)
  • International Conference on International Conference on Intelligent Robots and Systems (IROS)
  • Intelligent Vehicles Symposium (IV)
This information has been contributed by Dr Niko Suenderhauf.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.