Radar-vision fusion for vehicle detection by means of improved haar-like feature and AdaBoost approach. - Anselm Haselhoff; Anton Kummert; Georg Schneider 006 (EUSIPCO, 2007)

Radar-Vision Fusion with an Application to Car-Following using an Improved AdaBoost Detection Algorithm. - Anselm Haselhoff; Anton Kummert; Georg Schneider 006 (ITSC, 2007)

An evolutionary optimized vehicle tracker in collaboration with a detection system. - Anselm Haselhoff; Anton Kummert (ITSC, 2009)

2D line filters for vision-based lane detection and tracking. - Anselm Haselhoff; Anton Kummert (nDS, 2009)

An Analysis of Sampling for Filter-based Feature Extraction and AdaBoost Learning. - Anselm Haselhoff; Anton Kummert (VISAPP (2), 2009)

On visual crosswalk detection for driver assistance systems. - Anselm Haselhoff; Anton Kummert (Intelligent Vehicles Symposium, 2010)

Pedestrian crossing detecting as a part of an urban pedestrian safety system. - Sebastian Sichelschmidt; Anselm Haselhoff; Anton Kummert; Martin Roehder; Bjoern Elias; Karsten Berns (Intelligent Vehicles Symposium, 2010)

On Occlusion-Handling for People Detection Fusion in Multi-camera Networks. - Anselm Haselhoff; Lars Hoehmann; Christian Nunn; Mirko Meuter; Anton Kummert (MCSS, 2011)

Multisensor data fusion for advanced driver assistance systems - the Active Safety Car project. - Alexandros Gavriilidis; Tim Schwerdtfeger; Jörg Velten; Sam Schauland; Lars Hoehmann; Anselm Haselhoff; Fritz Boschen; Anton Kummert (nDS, 2011)

Multi-camera Pedestrian Detection by Means of Track-To-Track Fusion and Car2Car Communication. - Anselm Haselhoff; Lars Hoehmann; Anton Kummert; Christian Nunn; Mirko Meuter; Stefan Müller-Schneiders (VISAPP, 2011)

On filtering by means of generalized integral images: a review and applications. - Anselm Haselhoff; Anton Kummert (Multidimens. Syst. Signal Process., 2012)

Beiträge zur Signalverarbeitung für eine kamerabasierte Erkennung von Fahrzeugen, Fußgängern und Fußgängerüberwegen: Wahl der Trainingsbildauflösung, schnelle Filterung, Sensordatenfusion und optimiertes optisches Tracking. - Anselm Haselhoff (Der Andere Verlag, 2012)

Markov random field for image synthesis with an application to traffic sign recognition. - Anselm Haselhoff; Christian Nunn; Dennis Müller 002; Mirko Meuter; Lutz Roese-Koerner (Intelligent Vehicles Symposium, 2017)

Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? - Jan Kronenberger; Anselm Haselhoff (ICANN (3), 2018)

Random Forest on an Embedded Device for Real-time Machine State Classification. - Fabian Küppers; Jonas Albers; Anselm Haselhoff (EUSIPCO, 2019)

Multivariate Confidence Calibration for Object Detection. - Fabian Küppers; Jan Kronenberger; Amirhossein Shantia; Anselm Haselhoff (CVPR Workshops, 2020)

Dependency Decomposition and a Reject Option for Explainable Models. - Jan Kronenberger; Anselm Haselhoff (CoRR, 2020)

From Black-box to White-box: Examining Confidence Calibration under different Conditions. - Franziska Schwaiger; Maximilian Henne; Fabian Küppers; Felippe Schmoeller Roza; Karsten Roscher; Anselm Haselhoff (SafeAI@AAAI, 2021)

Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation. - Anselm Haselhoff; Jan Kronenberger; Fabian Küppers; Jonas Schneider 004 (CVPR Workshops, 2021)

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling. - Fabian Küppers; Jan Kronenberger; Jonas Schneider 004; Anselm Haselhoff (IV, 2021)

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - Sebastian Houben; Stephanie Abrecht; Maram Akila; Andreas Bär; Felix Brockherde; Patrick Feifel; Tim Fingscheidt; Sujan Sai Gannamaneni; Seyed Eghbal Ghobadi; Ahmed Hammam; Anselm Haselhoff; Felix Hauser; et al. (CoRR, 2021)

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection. - Fabian Küppers; Jonas Schneider 004; Anselm Haselhoff (ECCV Workshops (5), 2022)

Confidence Calibration for Object Detection and Segmentation. - Fabian Küppers; Anselm Haselhoff; Jan Kronenberger; Jonas Schneider 004 (CoRR, 2022)

Segmentation-guided Domain Adaptation for Efficient Depth Completion. - Fabian Märkert; Martin Sunkel; Anselm Haselhoff; Stefan Rudolph (CoRR, 2022)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-explainable Model with Counterfactual Explanations. - Anselm Haselhoff; Kevin Trelenberg; Fabian Küppers; Jonas Schneider 004 (ECCV (53), 2024)

Quantifying Local Model Validity using Active Learning. - Sven Lämmle; Can Bogoclu; Robert Vosshall; Anselm Haselhoff; Dirk Roos (UAI, 2024)