Fabian Flohr
Cited by
Cited by
Context-based pedestrian path prediction
JFP Kooij, N Schneider, F Flohr, DM Gavrila
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Eurocity persons: A novel benchmark for person detection in traffic scenes
M Braun, S Krebs, F Flohr, DM Gavrila
IEEE transactions on pattern analysis and machine intelligence 41 (8), 1844-1861, 2019
Context-based path prediction for targets with switching dynamics
JFP Kooij, F Flohr, EAI Pool, DM Gavrila
International Journal of Computer Vision 127 (3), 239-262, 2019
A new benchmark for vision-based cyclist detection
X Li, F Flohr, Y Yang, H Xiong, M Braun, S Pan, K Li, DM Gavrila
2016 IEEE Intelligent Vehicles Symposium (IV), 1028-1033, 2016
A unified framework for concurrent pedestrian and cyclist detection
X Li, L Li, F Flohr, J Wang, H Xiong, M Bernhard, S Pan, DM Gavrila, K Li
IEEE transactions on intelligent transportation systems 18 (2), 269-281, 2016
Pose-rcnn: Joint object detection and pose estimation using 3d object proposals
M Braun, Q Rao, Y Wang, F Flohr
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
The eurocity persons dataset: A novel benchmark for object detection
M Braun, S Krebs, F Flohr, DM Gavrila
arXiv preprint arXiv:1805.07193, 2018
A probabilistic framework for joint pedestrian head and body orientation estimation
F Flohr, M Dumitru-Guzu, JFP Kooij, DM Gavrila
Intelligent Transportation Systems, IEEE Transactions on, 1 - 11, 2015
PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues
F Flohr, DM Gavrila
British Machine Vision Conference (BMVC), 2013
Driver and pedestrian awareness-based collision risk analysis
M Roth, F Flohr, DM Gavrila
2016 IEEE Intelligent Vehicles Symposium (IV), 454-459, 2016
Joint probabilistic pedestrian head and body orientation estimation
F Flohr, M Dumitru-Guzu, JFP Kooij, DM Gavrila
2014 IEEE Intelligent Vehicles Symposium Proceedings, 617-622, 2014
A survey on leveraging deep neural networks for object tracking
S Krebs, B Duraisamy, F Flohr
2017 IEEE 20th international conference on Intelligent Transportation …, 2017
Vru pose-ssd: Multiperson pose estimation for automated driving
C Kumar, J Ramesh, B Chakraborty, R Raman, C Weinrich, A Mundhada, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15331 …, 2021
Traffic police gesture recognition by pose graph convolutional networks
Z Fang, W Zhang, Z Guo, R Zhi, B Wang, F Flohr
2020 IEEE Intelligent Vehicles Symposium (IV), 1833-1838, 2020
Urbanpose: A new benchmark for vru pose estimation in urban traffic scenes
S Wang, D Yang, B Wang, Z Guo, R Verma, J Ramesh, C Weinrich, ...
2021 IEEE Intelligent Vehicles Symposium (IV), 1537-1544, 2021
Advancing active safety towards the protection of vulnerable road users: the PROSPECT project
A Aparicio, L Sanz, G Burnett, H Stoll, M Arbittmann, M Kunert, F Flohr, ...
25th international technical conference on the enhanced safety of vehicles …, 2017
Point cloud generation with continuous conditioning
LT Triess, A Bühler, D Peter, FB Flohr, JM Zöllner
arXiv preprint arXiv:2202.08526, 2022
Recurrent neural network architectures for vulnerable road user trajectory prediction
H Xiong, FB Flohr, S Wang, B Wang, J Wang, K Li
2019 IEEE Intelligent Vehicles Symposium (IV), 171-178, 2019
Vulnerable road user detection and orientation estimation for context-aware automated driving
FB Flohr
Building a computer vision research vehicle with ROS
A Fregin, M Roth, M Braun, S Krebs, F Flohr
Proc. of the ROSCon 2017, 2017
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