Luciano Spinello

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Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandAdresă de e-mail confirmată pe ethz.ch
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnAdresă de e-mail confirmată pe igg.uni-bonn.de
Gian Diego TipaldiGoogle ARAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Kai O. ArrasProfessor of Autonomous SystemsAdresă de e-mail confirmată pe ki.uni-stuttgart.de
Rudolph TriebelGerman Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)Adresă de e-mail confirmată pe kit.edu
Matthias LuberUniversity of FreiburgAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Nichola AbdoWaymoAdresă de e-mail confirmată pe cs.uni-freiburg.de
Pratik AgarwalNuro, Prev: Google Self Driving Cars, MicrosoftAdresă de e-mail confirmată pe cs.uni-freiburg.de
Tayyab NaseerLyft Level 5, Self-driving divisionAdresă de e-mail confirmată pe woven-planet.global
Andreas EitelParallel Domain. Previously Univ Freiburg PhDAdresă de e-mail confirmată pe cs.uni-freiburg.de
Mladen MazuranPhD Student, University of FreiburgAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Christoph SprunkUniversity of FreiburgAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Markus (Mark) HoepflingerSwiss governmentAdresă de e-mail confirmată pe ar.admin.ch
Michael RuhnkeSystem Engineer BU97 SICK AGAdresă de e-mail confirmată pe ruhnke.net
Abhinav ValadaProfessor & Director of Robot Learning Lab, University of FreiburgAdresă de e-mail confirmată pe cs.uni-freiburg.de
Bastian StederFormerly PhD student and PostDoc in the AIS lab at the University of Freiburg. Currently DevelopmentAdresă de e-mail confirmată pe informatik.uni-freiburg.de
Henrik KretzschmarGoogle, Waymo, University of FreiburgAdresă de e-mail confirmată pe google.com
Anna PetrovskayaStanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Luciano Rebouças de OliveiraInstitute of Computing (IC), Computer Science Dept, Federal University of BahiaAdresă de e-mail confirmată pe ufba.br
Pierre BessiereCNRS - College de France - LPPAAdresă de e-mail confirmată pe imag.fr

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Luciano Spinello

Apple. Previously Amazon, UniFreiburg, ETH Zurich PhD

Adresă de e-mail confirmată pe cs.uni-freiburg.de - Pagina de pornire

Robotics Perception Computer Vision People Tracking


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Multimodal deep learning for robust RGB-D object recognition A Eitel, JT Springenberg, L Spinello, M Riedmiller, W Burgard 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	791	2015
People detection in RGB-D data L Spinello, KO Arras 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	507	2011
Robust map optimization using dynamic covariance scaling P Agarwal, GD Tipaldi, L Spinello, C Stachniss, W Burgard 2013 IEEE international conference on robotics and automation, 62-69, 2013	341	2013
Robust visual robot localization across seasons using network flows T Naseer, L Spinello, W Burgard, C Stachniss Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014	247	2014
People tracking in rgb-d data with on-line boosted target models M Luber, L Spinello, KO Arras 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	238	2011
Socially-aware robot navigation: A learning approach M Luber, L Spinello, J Silva, KO Arras 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	200	2012
Multiclass multimodal detection and tracking in urban environments L Spinello, R Triebel, R Siegwart The International Journal of Robotics Research 29 (12), 1498-1515, 2010	199	2010
A layered approach to people detection in 3d range data L Spinello, K Arras, R Triebel, R Siegwart Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1625-1630, 2010	185	2010
Human detection using multimodal and multidimensional features L Spinello, R Siegwart 2008 IEEE International Conference on Robotics and Automation, 3264-3269, 2008	148	2008
Audio-based human activity recognition using non-markovian ensemble voting JA Stork, L Spinello, J Silva, KO Arras 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human …, 2012	140	2012
Haptic terrain classification for legged robots MA Hoepflinger, CD Remy, M Hutter, L Spinello, R Siegwart 2010 IEEE International Conference on Robotics and Automation, 2828-2833, 2010	128	2010
Tracking people in 3D using a bottom-up top-down detector L Spinello, M Luber, KO Arras 2011 IEEE International Conference on Robotics and Automation, 1304-1310, 2011	126	2011
Robust visual SLAM across seasons T Naseer, M Ruhnke, C Stachniss, L Spinello, W Burgard 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	105	2015
Deep feature learning for acoustics-based terrain classification A Valada, L Spinello, W Burgard Robotics Research: Volume 2, 21-37, 2018	81	2018
Robot, organize my shelves! tidying up objects by predicting user preferences N Abdo, C Stachniss, L Spinello, W Burgard 2015 IEEE international conference on robotics and automation (ICRA), 1557-1564, 2015	81	2015
Accurate indoor localization for RGB-D smartphones and tablets given 2D floor plans W Winterhalter, F Fleckenstein, B Steder, L Spinello, W Burgard 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	80	2015
Metric localization using google street view P Agarwal, W Burgard, L Spinello 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	79	2015
Learning manipulation actions from a few demonstrations N Abdo, H Kretzschmar, L Spinello, C Stachniss 2013 IEEE International Conference on Robotics and Automation, 1268-1275, 2013	73	2013
Leveraging RGB-D Data: Adaptive Fusion and Domain Adaptation for Object Detection L Spinello, KO Arras Proc. IEEE International Conference on Robotics and Automation 2, 2012	59	2012
Geometrical FLIRT Phrases for Large Scale Place Recognition in 2D Range Data GD Tipaldi, L Spinello, W Burgard Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2013	55	2013

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