Florian Heidecker

According to our database, Florian Heidecker authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation.

Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick

CoRR, 2024

2023

Sampling-based Uncertainty Estimation for an Instance Segmentation Network.

Florian Heidecker, Ahmad El-Khateeb, Bernhard Sick

CoRR, 2023

Context Information for Corner Case Detection in Highly Automated Driving.

Florian Heidecker, Tobias Susetzky, Erich Fuchs, Bernhard Sick

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving.

Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt

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

2022

Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving.

Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.

Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Description of Corner Cases in Automated Driving: Goals and Challenges.

Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner

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

Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders.

Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick

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

2020

Knowledge Representations in Technical Systems - A Taxonomy.

Kristina Scharei, Florian Heidecker, Maarten Bieshaar

CoRR, 2020

Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks.

Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks.

Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Novelty Based Driver Identification on RR Intervals from ECG Data.

Florian Heidecker, Christian Gruhl, Bernhard Sick

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020