Rares Ambrus - Citas de Google Académico

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Patric JensfeltKTH Royal Institute of TechnologyDirección de correo verificada de kth.se
John FolkessonAssociate Professor of Robotics, KTH SwedenDirección de correo verificada de kth.se
Adrien GaidonHead of Machine Learning Research, Toyota Research Institute (TRI)Dirección de correo verificada de tri.global
Sudeep PillaiMachine Learning Engineering Lead, Toyota Research InstituteDirección de correo verificada de mit.edu
Andreas BirkProfessor of Electrical Engineering and Computer Science, Jacobs UniversityDirección de correo verificada de jacobs-university.de
Todor StoyanovAssociate Professor, AASS Research Center, Örebro UniversityDirección de correo verificada de oru.se
Yashodhan NevatiaSpace Applications ServicesDirección de correo verificada de spaceapplications.com
Michael ZillichVienna University of TechnologyDirección de correo verificada de tuwien.ac.at
Axel WendtRobert Bosch, Senior Engineering Manager for Automated DrivingDirección de correo verificada de bosch.com
Nick HawesOxford Robotics Institute, University of OxfordDirección de correo verificada de robots.ox.ac.uk
Max PfingsthornPrincipal Scientist, OFFIS Institute for Information TechnologyDirección de correo verificada de offis.de
Sebastian ClaiciPhD Student, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Lenka MudrovaPhD student in Computer Science, University of BirminghamDirección de correo verificada de cs.bham.ac.uk
Tomas KrajnikCzech Technical University in Prague, Artificial Intelligence CenterDirección de correo verificada de fel.cvut.cz
Tom DuckettProfessor of Robotics and Autonomous Systems, University of Lincoln, UKDirección de correo verificada de lincoln.ac.uk
Thomas F.Aeolus Robotics, Inc.Dirección de correo verificada de aeolusbot.com

Rares Ambrus

Toyota Research Institute (TRI)

Dirección de correo verificada de tri.global

Self-supervised learning Mapping Object segmentation Mobile robotics Autonomous driving


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The strands project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017	108	2017
Superdepth: Self-supervised, super-resolved monocular depth estimation S Pillai, R Ambruş, A Gaidon 2019 International Conference on Robotics and Automation (ICRA), 9250-9256, 2019	54	2019
Autonomous learning of object models on a mobile robot T Fäulhammer, R Ambruş, C Burbridge, M Zillich, J Folkesson, N Hawes, ... IEEE Robotics and Automation Letters 2 (1), 26-33, 2016	52	2016
Meta-rooms: Building and maintaining long term spatial models in a dynamic world R Ambruş, N Bore, J Folkesson, P Jensfelt 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	48	2014
Modeling motion patterns of dynamic objects by IOHMM Z Wang, R Ambrus, P Jensfelt, J Folkesson 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	32	2014
Augmented autonomy: Improving human-robot team performance in urban search and rescue Y Nevatia, T Stoyanov, R Rathnam, M Pfingsthorn, S Markov, R Ambrus, ... 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008	32	2008
Automatic room segmentation from unstructured 3-d data of indoor environments R Ambruş, S Claici, A Wendt IEEE Robotics and Automation Letters 2 (2), 749-756, 2017	30	2017
Where's waldo at time t? using spatio-temporal models for mobile robot search T Krajník, M Kulich, L Mudrová, R Ambrus, T Duckett 2015 IEEE International Conference on Robotics and Automation (ICRA), 2140-2146, 2015	28	2015
Unsupervised learning of spatial-temporal models of objects in a long-term autonomy scenario R Ambrus, J Ekekrantz, J Folkesson, P Jensfelt 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	22	2015
Efficient retrieval of arbitrary objects from long-term robot observations N Bore, R Ambrus, P Jensfelt, J Folkesson Robotics and Autonomous Systems 91, 139-150, 2017	12	2017
Packnet-sfm: 3d packing for self-supervised monocular depth estimation V Guizilini, R Ambrus, S Pillai, A Gaidon arXiv preprint arXiv:1905.02693 5, 2019	10	2019
modules. sty: Semantic Macros and Module Scoping inSTEX M Kohlhase, D Ginev, R Ambrus	9	2010
Semantic labeling of indoor environments from 3D RGB maps M Brucker, M Durner, R Ambruş, ZC Márton, A Wendt, P Jensfelt, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 1871-1878, 2018	8	2018
Terrain classification for autonomous robot mobility: from safety, security rescue robotics to planetary exploration A Birk, T Stoyanov, Y Nevatia, R Ambrus, J Poppinga, K Pathak IEEE International Conference on Robotics and Automation (ICRA), Planetary …, 2008	8	2008
Unsupervised object discovery and segmentation of RGBD-images J Ekekrantz, N Bore, R Ambrus, J Folkesson, P Jensfelt arXiv preprint arXiv:1710.06929, 2017	4	2017
Autonomous meshing, texturing and recognition of object models with a mobile robot R Ambrus, N Bore, J Folkesson, P Jensfelt 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	4	2017
KTH-3D-TOTAL: A 3D dataset for discovering spatial structures for long-term autonomous learning A Thippur, R Ambrus, G Agrawal, AG Del Burgo, JH Ramesh, MK Jha, ... 2014 13th International Conference on Control Automation Robotics & Vision …, 2014	3	2014
Unmanned Vehicles Conversion Kits: a minimally invasive system for the conversion of regular vehicles into tele-operable and autonomous platforms R Ambrus, A Vibhute, G Dubey, A Kapuria Proceedings of Conference on Advances In Robotics, 1-6, 2013	3	2013
Two stream networks for self-supervised ego-motion estimation R Ambrus, V Guizilini, J Li, SPA Gaidon Conference on Robot Learning, 1052-1061, 2020	2	2020
Unsupervised object segmentation through change detection in a long term autonomy scenario R Ambrus, J Folkesson, P Jensfelt 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016	2	2016

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