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Frank Bonarens
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2020 – today
- 2023
- [c11]Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller:
Identifying Out-of-Domain Objects with Dirichlet Deep Neural Networks. ICCV (Workshops) 2023: 4562-4571 - [c10]Patrick Feifel, Frank Bonarens, Frank Köster:
Domain Adaptive Pedestrian Detection Based on Semantic Concepts. VISIGRAPP (5: VISAPP) 2023: 652-659 - 2022
- [c9]Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller:
Predictive Uncertainty Quantification of Deep Neural Networks using Dirichlet Distributions. CSCS 2022: 4:1-4:10 - [c8]Martin Herrmann, Christian Witt, Laureen Lake, Stefani Guneshka, Christian Heinzemann, Frank Bonarens, Patrick Feifel, Simon Funke:
Using ontologies for dataset engineering in automotive AI applications. DATE 2022: 526-531 - [c7]Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller:
Towards Improved Intermediate Layer Variational Inference for Uncertainty Estimation. ECCV Workshops (5) 2022: 526-542 - [c6]Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster:
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. AISafety@IJCAI 2022 - 2021
- [c5]Patrick Feifel, Frank Bonarens, Frank Köster:
Leveraging Interpretability: Concept-based Pedestrian Detection with Deep Neural Networks. CSCS 2021: 2:1-2:10 - [c4]Ahmed Hammam, Seyed Eghbal Ghobadi, Frank Bonarens, Christoph Stiller:
Real-time Uncertainty Estimation Based On Intermediate Layer Variational Inference. CSCS 2021: 3:1-3:9 - [c3]Patrick Feifel, Frank Bonarens, Frank Köster:
Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection. CVPR Workshops 2021: 29-37 - [c2]Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller:
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. ICCVW 2021: 1015-1022 - [i1]Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller:
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. CoRR abs/2108.08166 (2021)
2010 – 2019
- 2019
- [j1]Boliang Yi, Philipp Bender, Frank Bonarens, Christoph Stiller:
Model Predictive Trajectory Planning for Automated Driving. IEEE Trans. Intell. Veh. 4(1): 24-38 (2019) - 2016
- [c1]Boliang Yi, Stefan Gottschling, Jens Ferdinand, Norbert Simm, Frank Bonarens, Christoph Stiller:
Real time integrated vehicle dynamics control and trajectory planning with MPC for critical maneuvers. Intelligent Vehicles Symposium 2016: 584-589
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