Niko Sünderhauf (Suenderhauf)

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	All	Since 2015
Citations	4794	4018
h-index	32	29
i10-index	50	47

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200820092010201120122013201420152016201720182019202017 55 63 84 127 171 217 285 371 525 760 1080 976

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Michael MilfordQUT Professor | Deputy Director, QUT Robotics Centre | Microsoft Fellow | Chief Investigator, ARCVerified email at qut.edu.au
Ben UpcroftOxboticaVerified email at oxbotica.com
Feras DayoubSenior Lecturer at Queensland University of TechnologyVerified email at qut.edu.au
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Peer NeubertTU ChemnitzVerified email at etit.tu-chemnitz.de
Sven LangeTU ChemnitzVerified email at etit.tu-chemnitz.de
Ian D ReidUniversity of AdelaideVerified email at adelaide.edu.au
Sareh Rowlands (nee Shirazi)Lecturer in Data Science at University of ExeterVerified email at exeter.ac.uk
Jürgen 'Juxi' LeitnerLYRO Robotics and Australian Centre for Robotic Vision (ACRV)Verified email at LYRO.io
Jake BrucePhD Student, Queensland University of TechnologyVerified email at hdr.qut.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Verified email at hdr.qut.edu.au
David HallResearch Fellow, Queensland University of TechnologyVerified email at qut.edu.au
Trung T. PhamSr. Computer Vision Scientist at NVIDIA, The Australian Centre of Robotic Vision, The University ofVerified email at nvidia.com
Sean McMahonPhD Candidate, Queensland University of Technology (QUT), AustraliaVerified email at qut.edu.au
Stephanie LowryPostdoktor, Örebro UniversityVerified email at oru.se
Sourav GargQueensland University of TechnologyVerified email at qut.edu.au
Chris McCoolProfessor, University of BonnVerified email at uni-bonn.de
Adam JacobsonQueensland University of TechnologyVerified email at connect.qut.edu.au
Raia HadsellGoogle DeepMindVerified email at google.com
Ben TalbotSchool of Electrical Engineering and Computer Science, Queensland University of TechnologyVerified email at 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	537	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	331	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	300	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	289	2015
Comparing several implementations of two recently published feature detectors J Bauer, N Sünderhauf, P Protzel IFAC Proceedings Volumes 40 (15), 143-148, 2007	264	2007
Switchable constraints for robust pose graph SLAM N Sünderhauf, P Protzel 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	243	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	230	2009
Brief-gist-closing the loop by simple means N Sünderhauf, P Protzel 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	181	2011
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	171	2013
Towards a robust back-end for pose graph slam N Sünderhauf, P Protzel 2012 IEEE international conference on robotics and automation, 1254-1261, 2012	171	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	166	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	154	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	119	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	111	2013
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	99	2017
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	87	2007
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	84	2016
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	82	2015
Autonomous landing for a multirotor UAV using vision S Lange, N Sünderhauf, P Protzel International conference on simulation, modeling, and programming for …, 2008	79	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	74	2015

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