Timo Rehfeld (Scharwächter)
Timo Rehfeld (Scharwächter)
Mercedes-Benz Research & Development North America
Bestätigte E-Mail-Adresse bei daimler.com
Titel
Zitiert von
Zitiert von
Jahr
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
41632016
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
1362015
Efficient multi-cue scene segmentation
T Scharwächter, M Enzweiler, U Franke, S Roth
German Conference on Pattern Recognition, 435-445, 2013
872013
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
782016
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
642014
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
332017
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
312015
Visual guard rail detection for advanced highway assistance systems
T Scharwächter, M Schuler, U Franke
2014 IEEE Intelligent Vehicles Symposium Proceedings, 900-905, 2014
202014
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
162017
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
142011
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
122016
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
82018
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
72017
Spider-based Stixel object segmentation
F Erbs, A Witte, T Scharwaechter, R Mester, U Franke
2014 IEEE Intelligent Vehicles Symposium Proceedings, 906-911, 2014
52014
Stixel-Based Target Existence Estimation under Adverse Conditions
T Scharwächter
German Conference on Pattern Recognition, 225-230, 2013
22013
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–18