Niko Sünderhauf (Suenderhauf) - Google Scholar Citations

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	All	Since 2014
Citations	3183	2634
h-index	28	25
i10-index	43	41

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Michael MilfordProfessor at Queensland University of Technology (QUT) | ARC Future Fellow | Microsoft Fellow | CIVerified email at qut.edu.au
Ben UpcroftOxboticaVerified email at oxbotica.com
Feras DayoubSenior Lecturer at Queensland University of TechnologyVerified email at qut.edu.au
Sven LangeTU ChemnitzVerified email at etit.tu-chemnitz.de
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Sareh ShiraziPostdoctoral Research Fellow at ARC Centre of Excellence for Robotic Vision (QUT)Verified email at qut.edu.au
Ian D ReidUniversity of AdelaideVerified email at adelaide.edu.au
Jürgen 'Juxi' LeitnerLYRO Robotics and Australian Centre for Robotic Vision (ACRV) @ QUTVerified email at LYRO.io
Sean McMahonPhD Candidate, Queensland University of Technology (QUT), AustraliaVerified email at qut.edu.au
Stephanie LowryPostdoktor, Örebro UniversityVerified email at oru.se
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
Adam JacobsonQueensland University of TechnologyVerified email at connect.qut.edu.au
Edward PepperellPhD Alumnus of Queensland University of Technology (QUT)Verified email at qut.edu.au
Chris McCoolProfessor, University of BonnVerified email at uni-bonn.de
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
David HallResearch Fellow, Queensland University of TechnologyVerified email at qut.edu.au
John LeonardProfessor of Mechanical and Ocean Engineering, MITVerified email at mit.edu
Paul NewmanProfessor University of OxfordVerified email at robots.ox.ac.uk
David CoxDirector, MIT-IBM Watson AI Lab, IBM Research AIVerified email at ibm.com

Niko Sünderhauf (Suenderhauf)

Queensland University of Technology, Australian Centre for Robotic Vision

Verified email at qut.edu.au - Homepage

Autonomous Robots Computer Vision Machine Learning SLAM Probabilistic Graphical Models


Title	Cited by	Year
Visual Place Recognition: A Survey S Lowry, N Sunderhauf, P Newman, JJ Leonard, D Cox, P Corke, ... Transactions on Robotics (TRO), 2015	311	2015
Comparing several implementations of two recently published feature detectors J Bauer, N Sünderhauf, P Protzel IFAC Proceedings Volumes 40 (15), 143-148, 2007	253	2007
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	213	2015
Switchable constraints for robust pose graph SLAM N Sünderhauf, P Protzel 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	203	2012
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	201	2015
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	184	2009
Towards a robust back-end for pose graph slam N Sünderhauf, P Protzel 2012 IEEE International Conference on Robotics and Automation, 1254-1261, 2012	145	2012
Brief-gist-closing the loop by simple means N Sünderhauf, P Protzel 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	141	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	140	2013
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	112	2006
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	99	2018
Appearance change prediction for long-term navigation across seasons P Neubert, N Sünderhauf, P Protzel 2013 European Conference on Mobile Robots, 198-203, 2013	90	2013
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	80	2007
Autonomous landing for a multirotor UAV using vision S Lange, N Sünderhauf, P Protzel International conference on simulation, modeling, and programming for …, 2008	67	2008
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	65	2015
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	64	2017
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	60	2016
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	52	2018
Switchable constraints vs. max-mixture models vs. rrr-a comparison of three approaches to robust pose graph slam N Sünderhauf, P Protzel 2013 IEEE International Conference on Robotics and Automation, 5198-5203, 2013	51	2013
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	45	2015

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