| Event-based neuromorphic vision for autonomous driving: A paradigm shift for bio-inspired visual sensing and perception G Chen, H Cao, J Conradt, H Tang, F Rohrbein, A Knoll IEEE Signal Processing Magazine 37 (4), 34-49, 2020 | 262 | 2020 |
| A survey of robotics control based on learning-inspired spiking neural networks Z Bing, C Meschede, F Röhrbein, K Huang, AC Knoll Frontiers in neurorobotics 12, 35, 2018 | 195 | 2018 |
| Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform E Falotico, L Vannucci, A Ambrosano, U Albanese, S Ulbrich, ... Frontiers in neurorobotics 11, 2, 2017 | 148 | 2017 |
| Low-level integration of auditory and visual motion signals requires spatial co-localisation GF Meyer, SM Wuerger, F Röhrbein, C Zetzsche Experimental Brain Research 166, 538-547, 2005 | 140 | 2005 |
| End to end learning of spiking neural network based on r-stdp for a lane keeping vehicle Z Bing, C Meschede, K Huang, G Chen, F Rohrbein, M Akl, A Knoll 2018 IEEE international conference on robotics and automation (ICRA), 4725-4732, 2018 | 88 | 2018 |
| Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks F Walter, F Röhrbein, A Knoll Neural Networks 72, 152-167, 2015 | 86 | 2015 |
| Nonlinear andextra-classical receptive field properties and the statisticsof natural scenes C Zetzsche, F Röhrbein Network: Computation in Neural Systems 12 (3), 331, 2001 | 77 | 2001 |
| Musculoskeletal robots: scalability in neural control C Richter, S Jentzsch, R Hostettler, JA Garrido, E Ros, A Knoll, ... IEEE Robotics & Automation Magazine 23 (4), 128-137, 2016 | 66 | 2016 |
| Towards autonomous locomotion: CPG-based control of smooth 3D slithering gait transition of a snake-like robot Z Bing, L Cheng, G Chen, F Röhrbein, K Huang, A Knoll Bioinspiration & biomimetics 12 (3), 035001, 2017 | 60 | 2017 |
| A computational model for spatial navigation based on reference frames in the hippocampus, retrosplenial cortex, and posterior parietal cortex T Oess, JL Krichmar, F Röhrbein Frontiers in neurorobotics 11, 4, 2017 | 56 | 2017 |
| Spiking cooperative stereo-matching at 2 ms latency with neuromorphic hardware G Dikov, M Firouzi, F Röhrbein, J Conradt, C Richter Biomimetic and Biohybrid Systems: 6th International Conference, Living …, 2017 | 52 | 2017 |
| Multi-cue event information fusion for pedestrian detection with neuromorphic vision sensors G Chen, H Cao, C Ye, Z Zhang, X Liu, X Mo, Z Qu, J Conradt, F Röhrbein, ... Frontiers in neurorobotics 13, 10, 2019 | 44 | 2019 |
| Upcycling models under domain and category shift S Qu, T Zou, F Röhrbein, C Lu, G Chen, D Tao, C Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 43 | 2023 |
| Computation by time F Walter, F Röhrbein, A Knoll Neural Processing Letters 44, 103-124, 2016 | 40 | 2016 |
| Neuromorphic vision based multivehicle detection and tracking for intelligent transportation system G Chen, H Cao, M Aafaque, J Chen, C Ye, F Röhrbein, J Conradt, K Chen, ... Journal of advanced transportation 2018 (1), 4815383, 2018 | 37 | 2018 |
| How does image noise affect actual and predicted human gaze allocation in assessing image quality? F Röhrbein, P Goddard, M Schneider, G James, K Guo Vision research 112, 11-25, 2015 | 37 | 2015 |
| Online multi-object tracking-by-clustering for intelligent transportation system with neuromorphic vision sensor G Hinz, G Chen, M Aafaque, F Röhrbein, J Conradt, Z Bing, Z Qu, ... KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 2017 | 35 | 2017 |
| Catching audiovisual mice: predicting the arrival time of auditory-visual motion signals M Hofbauer, SM Wuerger, GF Meyer, F Roehrbein, K Schill, C Zetzsche Cognitive, Affective, & Behavioral Neuroscience 4, 241-250, 2004 | 33 | 2004 |
| Toward brain-inspired learning with the neuromorphic snake-like robot and the neurorobotic platform G Chen, Z Bing, F Röhrbein, J Conradt, K Huang, L Cheng, Z Jiang, ... IEEE Transactions on Cognitive and Developmental Systems 11 (1), 1-12, 2017 | 28 | 2017 |
| On the use of deep recurrent neural networks for detecting audio spoofing attacks S Scardapane, L Stoffl, F Röhrbein, A Uncini 2017 International Joint Conference on Neural Networks (IJCNN), 3483-3490, 2017 | 24 | 2017 |
