Seguir
Timo Rehfeld (Scharwächter)
Timo Rehfeld (Scharwächter)
Mercedes-Benz Research & Development North America
E-mail confirmado em daimler.com
Título
Citado por
Citado por
Ano
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
141432016
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, 1, 2015
4372015
Efficient multi-cue scene segmentation
T Scharwächter, M Enzweiler, U Franke, S Roth
German Conference on Pattern Recognition, 435-445, 2013
1362013
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
1102016
Stixmantics: A medium-level model for real-time semantic scene understanding
T Scharwächter, M Enzweiler, U Franke, S Roth
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
792014
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
502017
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
412015
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
292017
Visual guard rail detection for advanced highway assistance systems
T Scharwächter, M Schuler, U Franke
2014 IEEE Intelligent Vehicles Symposium Proceedings, 900-905, 2014
252014
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
202011
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
172016
Holistic grid fusion based stop line estimation
R Xu, F Tafazzoli, L Zhang, T Rehfeld, G Krehl, A Seal
2020 25th International Conference on Pattern Recognition (ICPR), 8400-8407, 2021
162021
Hierarchical road topology learning for urban mapless driving
L Zhang, F Tafazzoli, G Krehl, R Xu, T Rehfeld, M Schier, A Seal
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
132022
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
112017
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
92018
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, 2020
82020
Spider-based Stixel object segmentation
F Erbs, A Witte, T Scharwaechter, R Mester, U Franke
2014 IEEE Intelligent Vehicles Symposium Proceedings, 906-911, 2014
62014
Stixel-Based Target Existence Estimation under Adverse Conditions
T Scharwächter
German Conference on Pattern Recognition, 225-230, 2013
22013
Combining Appearance, Depth and Motion for Efficient Semantic Scene Understanding
T Rehfeld
Technische Universität Darmstadt, 2018
2018
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–19