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 Computer Science, 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
Adam JacobsonQueensland University of TechnologyVerified email at connect.qut.edu.au
Raia HadsellGoogle DeepMindVerified email at google.com

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	635	2015
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	395	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	391	2018
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	330	2015
Comparing several implementations of two recently published feature detectors J Bauer, N Sünderhauf, P Protzel IFAC Proceedings Volumes 40 (15), 143-148, 2007	278	2007
Switchable constraints for robust pose graph SLAM N Sünderhauf, P Protzel 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	257	2012
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	246	2009
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	230	2018
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	198	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	198	2013
Brief-gist-closing the loop by simple means N Sünderhauf, P Protzel 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	196	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	177	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	125	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	125	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	116	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	102	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	88	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	86	2015
Autonomous landing for a multirotor UAV using vision S Lange, N Sünderhauf, P Protzel International conference on simulation, modeling, and programming for …, 2008	82	2008
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	79	2015

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