Timo Rehfeld (Scharwächter)

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	All	Since 2016
Citations	4796	4684
h-index	11	10
i10-index	11	10

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2014201520162017201820192020202115 33 125 393 874 1430 1753 89

Co-authors

Uwe FrankeHead of Image Understanding, Daimler AGVerified email at daimler.com
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de
Markus EnzweilerMercedes-Benz AG R&D - Automated DrivingVerified email at daimler.com
Marius CordtsMercedes-Benz AG R&D - Automated DrivingVerified email at daimler.com
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Rodrigo BenensonResearch scientist at GoogleVerified email at google.com
Mohamed OmranMax Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
Sebastian RamosCTO & Co-Founder @ TensoreyeVerified email at tensoreye.de
David PfeifferZoox IncVerified email at dltmail.de
Marc PollefeysDirector of Science, Microsoft HoloLens; Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Lukas SchneiderVerified email at schneiderdt.de
J. Marius ZöllnerProfessor at Karlsruhe Institute of Technology (KIT), Director at Forschungszentrum Informatik (FZI)Verified email at fzi.de
Michael WeberResearch Scientist, FZI Forschungszentrum InformatikVerified email at fzi.de
Florian PiewakDaimler AG, Karlsruhe Institut of Technology (KIT)Verified email at daimler.com
Stefan GehrigDistinguished Scientist, Lecturer Cooperate State University StuttgartVerified email at daimler.com
Rudolf MesterNTNU Trondheim, NorwayVerified email at ntnu.no

Timo Rehfeld (Scharwächter)

Mercedes-Benz Research & Development North America

Verified email at daimler.com

Scene Labeling Computer Vision Machine Learning Real-Time Algorithms Sensor Fusion


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The cityscapes dataset for semantic urban scene understanding M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016	4271	2016
The cityscapes dataset M Cordts, M Omran, S Ramos, T Scharwächter, M Enzweiler, R Benenson, ... CVPR Workshop on the Future of Datasets in Vision 2, 2015	143	2015
Efficient multi-cue scene segmentation T Scharwächter, M Enzweiler, U Franke, S Roth German Conference on Pattern Recognition, 435-445, 2013	88	2013
Semantic stixels: Depth is not enough L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ... 2016 IEEE Intelligent Vehicles Symposium (IV), 110-117, 2016	79	2016
Stixmantics: A medium-level model for real-time semantic scene understanding T Scharwächter, M Enzweiler, U Franke, S Roth European Conference on Computer Vision, 533-548, 2014	65	2014
The stixel world: A medium-level representation of traffic scenes M Cordts, T Rehfeld, L Schneider, D Pfeiffer, M Enzweiler, S Roth, ... Image and Vision Computing 68, 40-52, 2017	34	2017
Low-level fusion of color, texture and depth for robust road scene understanding T Scharwächter, U Franke 2015 IEEE Intelligent Vehicles Symposium (IV), 599-604, 2015	31	2015
Visual guard rail detection for advanced highway assistance systems T Scharwächter, M Schuler, U Franke 2014 IEEE Intelligent Vehicles Symposium Proceedings, 900-905, 2014	20	2014
Fully convolutional neural networks for dynamic object detection in grid maps F Piewak, T Rehfeld, M Weber, JM Zöllner 2017 IEEE Intelligent Vehicles Symposium (IV), 392-398, 2017	16	2017
A real-time multi-cue framework for determining optical flow confidence SK Gehrig, T Scharwächter 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011	15	2011
Tree-structured models for efficient multi-cue scene labeling M Cordts, T Rehfeld, M Enzweiler, U Franke, S Roth IEEE transactions on pattern analysis and machine intelligence 39 (7), 1444-1454, 2016	12	2016
Environment estimation with dynamic grid maps and self-localizing tracklets A Vatavu, N Rexin, S Appel, T Berling, S Govindachar, G Krehl, J Peukert, ... 2018 21st International Conference on Intelligent Transportation Systems …, 2018	8	2018
Estimating high definition map parameters with convolutional neural networks S Bittel, T Rehfeld, M Weber, JM Zöllner 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 52-56, 2017	7	2017
Spider-based Stixel object segmentation F Erbs, A Witte, T Scharwaechter, R Mester, U Franke 2014 IEEE Intelligent Vehicles Symposium Proceedings, 906-911, 2014	5	2014
Stixel-Based Target Existence Estimation under Adverse Conditions T Scharwächter German Conference on Pattern Recognition, 225-230, 2013	2	2013
Holistic Grid Fusion Based Stop Line Estimation R Xu, F Tafazzoli, L Zhang, T Rehfeld, G Krehl, A Seal arXiv preprint arXiv:2009.09093, 2020		2020
Combining Appearance, Depth and Motion for Efficient Semantic Scene Understanding T Rehfeld Technische Universität, 2018		2018
Sensor Fusion-based Online Map Validation for Autonomous Driving SR Bhavsar, A Vatavu, T Rehfeld, G Krehl 2020 IEEE Intelligent Vehicles Symposium (IV), 77-82, 0

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