Niko Suenderhauf

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Michael MilfordQUT Professor | Joint Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Peter ProtzelProfessor of Electrical Engineering, TU Chemnitz / Chemnitz University of Technology, GermanyVerified email at etit.tu-chemnitz.de
Feras DayoubSenior Lecturer at the University of AdelaideVerified email at adelaide.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 NeubertUniversity of KoblenzVerified email at uni-koblenz.de
Sven LangeTU ChemnitzVerified email at etit.tu-chemnitz.de
Juxi LeitnerLYRO Robotics & Monash UniversityVerified email at LYRO.io
Haoyang ZhangHorizon.AIVerified email at horizon.ai
Dimity MillerQueensland University of TechnologyVerified email at qut.edu.au
Jake BruceResearch Scientist, DeepMindVerified email at google.com
David HallResearch Scientist, CSIROVerified email at csiro.au
Ben TalbotQUT Centre for Robotics, 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. PhamStaff Computer Vision Scientist at NVIDIA, The Australian Centre of Robotic Vision, The UniversityVerified email at nvidia.com
Sourav GargQueensland University of Technology (QUT), AustraliaVerified email at qut.edu.au
Raia HadsellGoogle DeepMindVerified email at google.com
Stephanie LowryPostdoktor, Örebro UniversityVerified email at oru.se
Sean McMahonPhD Candidate, Queensland University of Technology (QUT), AustraliaVerified email at qut.edu.au

Niko Suenderhauf

Other namesNiko Sünderhauf, Niko Sunderhauf

Professor at Queensland University of Technology (QUT) Centre for Robotics

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	962	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	888	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	559	2015
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	484	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	422	2015
Switchable constraints for robust pose graph SLAM N Sünderhauf, P Protzel 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	348	2012
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	329	2017
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	304	2009
Comparing several implementations of two recently published feature detectors J Bauer, N Sünderhauf, P Protzel IFAC Proceedings Volumes 40 (15), 143-148, 2007	296	2007
Varifocalnet: An iou-aware dense object detector H Zhang, Y Wang, F Dayoub, N Sünderhauf Computer Vision and Pattern Recognition (CVPR) 2021, 2020	269	2020
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	263	2013
Brief-gist-closing the loop by simple means N Sünderhauf, P Protzel 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	232	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	224	2012
QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM LJ Nicholson, MJ Milford, N Sünderhauf IEEE Robotics and Automation Letters, 2018	221	2018
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	209	2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf International Conference on Robotics and Automation (ICRA), 2018	171	2018
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	148	2016
Appearance change prediction for long-term navigation across seasons P Neubert, N Sünderhauf, P Protzel 2013 European Conference on Mobile Robots, 198-203, 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: 19. Fachgespräch Stuttgart, 8./9. Dezember …, 2006	135	2006
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	122	2015

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