Niko Sünderhauf (Suenderhauf)

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Michael MilfordQUT Professor | Director (acting), QUT Robotics Centre | Microsoft Fellow | Chief Investigator, ARCVerified email at qut.edu.au
Feras DayoubSenior Lecturer at Queensland University of TechnologyVerified email at qut.edu.au
Ben UpcroftOxboticaVerified email at oxbotica.com
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Ian D ReidUniversity of AdelaideVerified email at adelaide.edu.au
Peer NeubertTU ChemnitzVerified email at etit.tu-chemnitz.de
Sven LangeTU ChemnitzVerified email at etit.tu-chemnitz.de
Sareh Rowlands (nee Shirazi)Lecturer in Data Science at University of ExeterVerified email at exeter.ac.uk
Jürgen 'Juxi' LeitnerLYRO RoboticsVerified email at LYRO.io
Jake BruceResearch Scientist, DeepMindVerified email at google.com
David HallResearch Fellow, Queensland University of TechnologyVerified email at qut.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Verified email at hdr.qut.edu.au
Trung T. PhamSr. Computer Vision Scientist at NVIDIA, The Australian Centre of Robotic Vision, The University ofVerified email at nvidia.com
Sourav GargQueensland University of TechnologyVerified email at qut.edu.au
Sean McMahonPhD Candidate, Queensland University of Technology (QUT), AustraliaVerified email at qut.edu.au
Stephanie LowryPostdoktor, Örebro UniversityVerified email at oru.se
Ben TalbotSchool of Electrical Engineering and Robotics, Queensland University of TechnologyVerified email at qut.edu.au
Dimity MillerQueensland University of Technology, Australian Centre for Robotic VisionVerified email at hdr.qut.edu.au
Raia HadsellGoogle DeepMindVerified email at google.com
Adam JacobsonQueensland University of TechnologyVerified email at connect.qut.edu.au

Niko Sünderhauf (Suenderhauf)

Associate Professor at Queensland University of Technology, Australian Centre for Robotic Vision

Verified email at qut.edu.au - Homepage

Robotic Vision Machine Learning SLAM Scene Understanding


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Visual Place Recognition: A Survey S Lowry, N Sunderhauf, P Newman, JJ Leonard, D Cox, P Corke, ... Transactions on Robotics (TRO), 2015	673	2015
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments P Anderson, Q Wu, D Teney, J Bruce, M Johnson, N Sünderhauf, I Reid, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	430	2018
On the Performance of ConvNet Features for Place Recognition N Sünderhauf, F Dayoub, S Shirazi, B Upcroft, M Milford IEEE International Conference on Intelligent Robots and Systems (IROS), 2015	413	2015
Place Recognition With ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free N Sünderhauf, S Shirazi, A Jacobson, E Pepperell, F Dayoub, B Upcroft, ... Robotics: Science and Systems, 2015	340	2015
Comparing several implementations of two recently published feature detectors J Bauer, N Sünderhauf, P Protzel IFAC Proceedings Volumes 40 (15), 143-148, 2007	279	2007
Switchable constraints for robust pose graph SLAM N Sünderhauf, P Protzel 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	269	2012
The limits and potentials of deep learning for robotics N Sünderhauf, O Brock, W Scheirer, R Hadsell, D Fox, J Leitner, B Upcroft, ... The International Journal of Robotics Research 37 (4-5), 405-420, 2018	257	2018
A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments S Lange, N Sunderhauf, P Protzel 2009 International Conference on Advanced Robotics, 1-6, 2009	249	2009
Deep Learning Features at Scale for Visual Place Recognition Z Chen, A Jacobson, N Sunderhauf, B Upcroft, L Liu, C Shen, I Reid, ... International Conference on Robotics and Automation (ICRA 2017), 2017	213	2017
Are we there yet? Challenging SeqSLAM on a 3000 km journey across all four seasons N Sünderhauf, P Neubert, P Protzel Proc. of Workshop on Long-Term Autonomy, IEEE International Conference on …, 2013	207	2013
Brief-gist-closing the loop by simple means N Sünderhauf, P Protzel 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	202	2011
Towards a robust back-end for pose graph slam N Sünderhauf, P Protzel 2012 IEEE international conference on robotics and automation, 1254-1261, 2012	180	2012
Meaningful Maps With Object-Oriented Semantic Mapping N Sünderhauf, TT Pham, Y Latif, M Milford, I Reid IEEE International Conference on Intelligent Robots and Systems (IROS), 2017	133	2017
Visual odometry using sparse bundle adjustment on an autonomous outdoor vehicle N Sünderhauf, K Konolige, S Lacroix, P Protzel Autonome Mobile Systeme 2005, 157-163, 2006	126	2006
Appearance change prediction for long-term navigation across seasons P Neubert, N Sünderhauf, P Protzel 2013 European Conference on Mobile Robots, 198-203, 2013	120	2013
Place Categorization and Semantic Mapping on a Mobile Robot N Sünderhauf, F Dayoub, S McMahon, B Talbot, R Schulz, P Corke, ... IEEE International Conference on Robotics and Automation (ICRA), 2016	106	2016
Using the unscented kalman filter in mono-slam with inverse depth parametrization for autonomous airship control N Sunderhauf, S Lange, P Protzel 2007 IEEE International Workshop on Safety, Security and Rescue Robotics, 1-6, 2007	90	2007
Superpixel-based appearance change prediction for long-term navigation across seasons P Neubert, N Sünderhauf, P Protzel Robotics and Autonomous Systems 69, 15-27, 2015	87	2015
Evaluation of features for leaf classification in challenging conditions D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft 2015 IEEE Winter Conference on Applications of Computer Vision, 797-804, 2015	84	2015
Autonomous landing for a multirotor UAV using vision S Lange, N Sünderhauf, P Protzel International conference on simulation, modeling, and programming for …, 2008	84	2008

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