Frank Bonarens

According to our database, Frank Bonarens authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Domain Adaptive Pedestrian Detection Based on Semantic Concepts.

Patrick Feifel, Frank Bonarens, Frank Köster

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Identifying Out-of-Domain Objects with Dirichlet Deep Neural Networks.

Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection.

Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Towards Improved Intermediate Layer Variational Inference for Uncertainty Estimation.

Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Using ontologies for dataset engineering in automotive AI applications.

Martin Herrmann, Christian Witt, Laureen Lake, Stefani Guneshka, Christian Heinzemann, Frank Bonarens, Patrick Feifel, Simon Funke

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Predictive Uncertainty Quantification of Deep Neural Networks using Dirichlet Distributions.

Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller

Proceedings of the Computer Science in Cars Symposium, 2022

2021

Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization.

Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection.

Patrick Feifel, Frank Bonarens, Frank Köster

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Real-time Uncertainty Estimation Based On Intermediate Layer Variational Inference.

Ahmed Hammam, Seyed Eghbal Ghobadi, Frank Bonarens, Christoph Stiller

Proceedings of the CSCS '21: Computer Science in Cars Symposium, 2021

Leveraging Interpretability: Concept-based Pedestrian Detection with Deep Neural Networks.

Patrick Feifel, Frank Bonarens, Frank Köster

Proceedings of the CSCS '21: Computer Science in Cars Symposium, 2021

2019

Model Predictive Trajectory Planning for Automated Driving.

Boliang Yi, Philipp Bender, Frank Bonarens, Christoph Stiller

IEEE Trans. Intell. Veh., 2019

2016

Real time integrated vehicle dynamics control and trajectory planning with MPC for critical maneuvers.

Boliang Yi, Stefan Gottschling, Jens Ferdinand, Norbert Simm, Frank Bonarens, Christoph Stiller

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016