Publications

Most of our work can be found on ResearchGate and GoogleScholar

2021

Küppers, F; Kronenberger, J; Schneider, J; Haselhoff, A

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling (Inproceedings)

Proceedings of the 2021 IEEE Intelligent Vehicles Symposium (IV'21), 2021.

(Links | BibTeX)

Haselhoff, A; Kronenberger, J; Küppers, F; Schneider, J

Towards Black-Box Explainability with Gaussian Discriminant Knowledge Distillation (Inproceedings)

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021.

(Links | BibTeX)

Houben, S; Abrecht, S; Akila, M; Bär, A; Brockherde, F; Feifel, P; Fingscheidt, T; Gannamaneni, Sai S; Ghobadi, Eghbal S; Hammam, A; Haselhoff, A; Hauser, F; Heinzemann, C; Hoffmann, M; Kapoor, N; Kappel, F; Klingner, M; Kronenberger, J; Küppers, F; Löhdefink, J; Mlynarski, M; Mock, M; Mualla, F; Pavlitskaya, S; Poretschkin, M; Pohl, A; Ravi-Kumar, V; Rosenzweig, J; Rottmann, M; Rüping, S; Sämann, T; Schneider, J D; Schulz, E; Schwalbe, G; Sicking, J; Srivastava, T; Varghese, S; Weber, M; Wirkert, S; Wirtz, T; Woehrle, M

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety (Journal Article)

CoRR, abs/2101.02971 , 2021.

(Links | BibTeX)

Schwaiger, F; Henne, M; Küppers, F; Roza, Schmoeller F; Roscher, K; Haselhoff, A

From Black-box to White-box: Examining Confidence Calibration under different Conditions (Journal Article)

CoRR, abs/2101.02971 , 2021.

(Links | BibTeX)

2020

Küppers, F; Kronenberger, J; Shantia, A; Haselhoff, A

Multivariate Confidence Calibration for Object Detection (Inproceedings)

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1322-1330, 2020.

(Links | BibTeX)

Kronenberger, J; Haselhoff, A

Dependency Decomposition and a Reject Option for Explainable Models (Journal Article)

CoRR, abs/2012.06523 , 2020.

(Links | BibTeX)

2019

Küppers, F; Albers, J; Haselhoff, A

Random Forest on an Embedded Device for Real-time Machine State Classification (Inproceedings)

Proceedings of 27th European Signal Processing Conference (EUSIPCO 2019), pp. 1-5, 2019.

(Links | BibTeX)

2018

Kronenberger, J; Haselhoff, A

Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? (Inproceedings)

Artificial Neural Networks and Machine Learning - ICANN 2018, pp. 33-40, Springer International Publishing, Cham, 2018, ISBN: 978-3-030-01424-7.

(BibTeX)

2017

Haselhoff, A; Nunn, C; Meuter, M; Müller, D; Roese-Koerner, L

Markov Random Field for Image Synthesis with an Application to Traffic Sign Recognition (Inproceedings)

2017 IEEE Intelligent Vehicles Symposium (IV'17), pp. 1407-1412, 2017.

(Links | BibTeX)

2012

Haselhoff, A; Kummert, A

On filtering by means of generalized integral images: a review and applications (Journal Article)

Multidimensional Systems and Signal Processing, 23 , pp. 291-312, 2012.

(Links | BibTeX)

2011

Haselhoff, A; Höhmann, L; Kummert, A; Nunn, C; Meuter, M; Müller-Schneiders, S

Multi-Camera Pedestrian Detection by Means of Track-To-Track Fusion and Car2Car Communication (Inproceedings)

Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP 2011), pp. 307-312, 2011.

(BibTeX)

2010

Haselhoff, A; Kummert, A

On Visual Crosswalk Detection for Driver Assistance Systems (Inproceedings)

2010 IEEE Intelligent Vehicles Symposium (IV'10), pp. 883-888, 2010.

(Links | BibTeX)

Sichelschmidt, S; Haselhoff, A; Kummert, A; Roehder, M; Elias, B; Berns, K

Pedestrian Crossing Detection as a Part of an Urban Pedestrian Safety System (Inproceedings)

2010 IEEE Intelligent Vehicles Symposium (IV'10), pp. 840-844, 2010.

(Links | BibTeX)

2009

Haselhoff, A; Kummert, A

An Evolutionary Optimized Vehicle Tracker in Collaboration with a Detection System (Inproceedings)

2009 12th International IEEE Conference on Intelligent Transportation Systems (ITSC'09), pp. 208-213, 2009.

(Links | BibTeX)

Haselhoff, A; Kummert, A

2D Line Filters for Vision-based Lane Detection and Tracking (Inproceedings)

2009 6th International Workshop on Multidimensional (nD) Systems (NDS09), pp. 1-5, 2009.

(Links | BibTeX)

Haselhoff, A; Kummert, A

A Vehicle Detection System based on Haar and Triangle Features (Inproceedings)

2009 IEEE Intelligent Vehicles Symposium (IV'09), pp. 261-266, 2009.

(Links | BibTeX)

Haselhoff, A; Kummert, A

An Analysis of Sampling for Filter-based Feature Extraction and AdaBoost Learning (Inproceedings)

Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP 2009), pp. 180-185, 2009.

(BibTeX)

2008

Haselhoff, A; Schauland, S; Kummert, A

A Signal Theoretic Approach to Measure the Influence of Image Resolution for Appearance-based Vehicle Detection (Inproceedings)

2008 IEEE Intelligent Vehicles Symposium (IV'08), pp. 822-827, 2008.

(Links | BibTeX)

2007

Haselhoff, A; Kummert, A; Schneider, G

Radar-Vision Fusion for Vehicle Detection by Means of Improved Haar-Like Feature and AdaBoost Approach (Inproceedings)

2007 15th Conference on European Signal Processing Conference (EUSIPCO 2007), pp. 2070-2074, 2007.

(Links | BibTeX)