Niko Suenderhauf
Niko Suenderhauf
Alte numeNiko Sünderhauf, Niko Sunderhauf
Professor at Queensland University of Technology (QUT) Centre for Robotics
Adresă de e-mail confirmată pe qut.edu.au - Pagina de pornire
Citat de
Citat de
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
Visual Place Recognition: A Survey
S Lowry, N Sunderhauf, P Newman, JJ Leonard, D Cox, P Corke, ...
Transactions on Robotics (TRO), 2015
Varifocalnet: An iou-aware dense object detector
H Zhang, Y Wang, F Dayoub, N Sünderhauf
Computer Vision and Pattern Recognition (CVPR) 2021, 2020
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
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
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
Switchable constraints for robust pose graph SLAM
N Sünderhauf, P Protzel
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 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
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
QuadricSLAM: Dual Quadrics from Object Detections as Landmarks in Object-oriented SLAM
LJ Nicholson, MJ Milford, N Sünderhauf
IEEE Robotics and Automation Letters, 2018
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
Comparing several implementations of two recently published feature detectors
J Bauer, N Sünderhauf, P Protzel
IFAC Proceedings Volumes 40 (15), 143-148, 2007
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
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
Towards a robust back-end for pose graph slam
N Sünderhauf, P Protzel
2012 IEEE international conference on robotics and automation, 1254-1261, 2012
Brief-gist-closing the loop by simple means
N Sünderhauf, P Protzel
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
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
Appearance change prediction for long-term navigation across seasons
P Neubert, N Sünderhauf, P Protzel
2013 European Conference on Mobile Robots, 198-203, 2013
Probabilistic Object Detection: Definition and Evaluation
D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ...
IEEE Winter Conference on Applications of Computer Vision 2020, 2018
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
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