Safe Artificial Intelligence for Automated Driving


Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson,
Martin Danelljan,
Thomas B. Schon
[pdf] [supp]
[bibtex]
@InProceedings{Gustafsson_2020_CVPR_Workshops,
author = {Gustafsson, Fredrik K. and Danelljan, Martin and Schon, Thomas B.},
title = {Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training With Self-Supervised Depth Estimation
Marvin Klingner,
Andreas Bar,
Tim Fingscheidt
[pdf]
[bibtex]
@InProceedings{Klingner_2020_CVPR_Workshops,
author = {Klingner, Marvin and Bar, Andreas and Fingscheidt, Tim},
title = {Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training With Self-Supervised Depth Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim,
Mayank Bansal
[pdf]
[bibtex]
@InProceedings{Kim_2020_CVPR_Workshops,
author = {Kim, Jinkyu and Bansal, Mayank},
title = {Attentional Bottleneck: Towards an Interpretable Deep Driving Network},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Leveraging Combinatorial Testing for Safety-Critical Computer Vision Datasets
Christoph Gladisch,
Christian Heinzemann,
Martin Herrmann,
Matthias Woehrle
[pdf]
[bibtex]
@InProceedings{Gladisch_2020_CVPR_Workshops,
author = {Gladisch, Christoph and Heinzemann, Christian and Herrmann, Martin and Woehrle, Matthias},
title = {Leveraging Combinatorial Testing for Safety-Critical Computer Vision Datasets},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Multivariate Confidence Calibration for Object Detection
Fabian Kuppers,
Jan Kronenberger,
Amirhossein Shantia,
Anselm Haselhoff
[pdf]
[bibtex]
@InProceedings{Kuppers_2020_CVPR_Workshops,
author = {Kuppers, Fabian and Kronenberger, Jan and Shantia, Amirhossein and Haselhoff, Anselm},
title = {Multivariate Confidence Calibration for Object Detection},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Philipp Oberdiek,
Matthias Rottmann,
Gernot A. Fink
[pdf]
[bibtex]
@InProceedings{Oberdiek_2020_CVPR_Workshops,
author = {Oberdiek, Philipp and Rottmann, Matthias and Fink, Gernot A.},
title = {Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
Songan Zhang,
Huei Peng,
Subramanya Nageshrao,
H. Eric Tseng
[pdf]
[bibtex]
@InProceedings{Zhang_2020_CVPR_Workshops,
author = {Zhang, Songan and Peng, Huei and Nageshrao, Subramanya and Tseng, H. Eric},
title = {Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote
Andreas Bar,
Marvin Klingner,
Serin Varghese,
Fabian Huger,
Peter Schlicht,
Tim Fingscheidt
[pdf]
[bibtex]
@InProceedings{Bar_2020_CVPR_Workshops,
author = {Bar, Andreas and Klingner, Marvin and Varghese, Serin and Huger, Fabian and Schlicht, Peter and Fingscheidt, Tim},
title = {Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Self-Supervised Domain Mismatch Estimation for Autonomous Perception
Jonas Lohdefink,
Justin Fehrling,
Marvin Klingner,
Fabian Huger,
Peter Schlicht,
Nico M. Schmidt,
Tim Fingscheidt
[pdf]
[bibtex]
@InProceedings{Lohdefink_2020_CVPR_Workshops,
author = {Lohdefink, Jonas and Fehrling, Justin and Klingner, Marvin and Huger, Fabian and Schlicht, Peter and Schmidt, Nico M. and Fingscheidt, Tim},
title = {Self-Supervised Domain Mismatch Estimation for Autonomous Perception},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving
Serin Varghese,
Yasin Bayzidi,
Andreas Bar,
Nikhil Kapoor,
Sounak Lahiri,
Jan David Schneider,
Nico M. Schmidt,
Peter Schlicht,
Fabian Huger,
Tim Fingscheidt
[pdf]
[bibtex]
@InProceedings{Varghese_2020_CVPR_Workshops,
author = {Varghese, Serin and Bayzidi, Yasin and Bar, Andreas and Kapoor, Nikhil and Lahiri, Sounak and Schneider, Jan David and Schmidt, Nico M. and Schlicht, Peter and Huger, Fabian and Fingscheidt, Tim},
title = {Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Mind the Gap - A Benchmark for Dense Depth Prediction Beyond Lidar
Hendrik Schilling,
Marcel Gutsche,
Alexander Brock,
Dane Spath,
Carsten Rother,
Karsten Krispin
[pdf]
[bibtex]
@InProceedings{Schilling_2020_CVPR_Workshops,
author = {Schilling, Hendrik and Gutsche, Marcel and Brock, Alexander and Spath, Dane and Rother, Carsten and Krispin, Karsten},
title = {Mind the Gap - A Benchmark for Dense Depth Prediction Beyond Lidar},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Explaining Autonomous Driving by Learning End-to-End Visual Attention
Luca Cultrera,
Lorenzo Seidenari,
Federico Becattini,
Pietro Pala,
Alberto Del Bimbo
[pdf]
[bibtex]
@InProceedings{Cultrera_2020_CVPR_Workshops,
author = {Cultrera, Luca and Seidenari, Lorenzo and Becattini, Federico and Pala, Pietro and Del Bimbo, Alberto},
title = {Explaining Autonomous Driving by Learning End-to-End Visual Attention},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}

Using Mixture of Expert Models to Gain Insights Into Semantic Segmentation
Svetlana Pavlitskaya,
Christian Hubschneider,
Michael Weber,
Ruby Moritz,
Fabian Huger,
Peter Schlicht,
Marius Zollner
[pdf]
[bibtex]
@InProceedings{Pavlitskaya_2020_CVPR_Workshops,
author = {Pavlitskaya, Svetlana and Hubschneider, Christian and Weber, Michael and Moritz, Ruby and Huger, Fabian and Schlicht, Peter and Zollner, Marius},
title = {Using Mixture of Expert Models to Gain Insights Into Semantic Segmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}