Florian Heidecker

16 papers C 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation.
CoRR
Florian Heidecker, Ahmad El-Khateeb, Maarten Bieshaar, Bernhard Sick
2023 — conf
Context Information for Corner Case Detection in Highly Automated Driving.
ITSC
Florian Heidecker, Tobias Susetzky, Erich Fuchs, Bernhard Sick
2023 J jnl
Sampling-based Uncertainty Estimation for an Instance Segmentation Network.
CoRR
Florian Heidecker, Ahmad El-Khateeb, Bernhard Sick
2023 — conf
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving.
ICCV (Workshops)
Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt
2022 — conf
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving.
SSCI
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
2022 J jnl
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving.
CoRR
Kevin Rösch, Florian Heidecker, Julian Truetsch, Kamil Kowol, Clemens Schicktanz, Maarten Bieshaar, Bernhard Sick, Christoph Stiller
2021 C conf
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.
IV
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
2021 J jnl
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.
CoRR
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
2021 — conf
Description of Corner Cases in Automated Driving: Goals and Challenges.
ICCVW
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
2021 J jnl
Description of Corner Cases in Automated Driving: Goals and Challenges.
CoRR
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
2021 — conf
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders.
CVPR Workshops
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
2021 J jnl
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders.
CoRR
Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick
2020 — conf
Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks.
ICPR Workshops (4)
Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick
2020 J jnl
Knowledge Representations in Technical Systems - A Taxonomy.
CoRR
Kristina Scharei, Florian Heidecker, Maarten Bieshaar
2020 — conf
Novelty Based Driver Identification on RR Intervals from ECG Data.
ICPR Workshops (4)
Florian Heidecker, Christian Gruhl, Bernhard Sick
2020 — conf
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks.
ICPR Workshops (4)
Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick