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Bernhard Sick

CLeaR: An Adaptive Continual Learning Framework for Regression Tasks


Jan 04, 2021
Yujiang He, Bernhard Sick

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Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets


Sep 29, 2020
Maarten Bieshaar, Jens Schreiber, Stephan Vogt, André Gensler, Bernhard Sick

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), currently under review, 15 page, 23 figures, 2 tables 
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Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary


Sep 29, 2020
Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm

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Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?


Jun 09, 2020
Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

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* Accepted @ 23rd International Conference on Information Fusion (FUSION) 
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Toward Optimal Probabilistic Active Learning Using a Bayesian Approach


Jun 02, 2020
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick

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* 11 pages, 8 figures, appendix 
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Emerging Relation Network and Task Embedding for Multi-Task Regression Problems


Apr 29, 2020
Jens Schreiber, Bernhard Sick

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* 8 pages;2 tables;5 figures 
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Extended Coopetitive Soft Gating Ensemble


Apr 29, 2020
Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick

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* 14 pages; 15 figures; 10 tables 
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Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning


Feb 19, 2020
Christian Haase-Schütz, Rainer Stal, Heinz Hertlein, Bernhard Sick

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Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar


Dec 13, 2019
Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide

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* First three authors contributed equally 
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A Multi-Stage Clustering Framework for Automotive Radar Data


Jul 08, 2019
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

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* 8 pages, 5 figures, accepted paper for 2019 IEEE 22nd Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, October 2019 
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Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices


Jun 03, 2019
Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick

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* 10 pages, 9 figures, accepted paper for 2019 20th International Radar Symposium (IRS), Ulm, Germany, June 2019. arXiv admin note: text overlap with arXiv:1905.11219 
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Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic


Jun 03, 2019
Jens Schreiber, Maik Jessulat, Bernhard Sick

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Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models


May 31, 2019
Jens Schreiber, Artjom Buschin, Bernhard Sick

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Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles


May 28, 2019
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

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* 8 pages, 9 figures, accepted paper for 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, June 2019 
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Radar-based Feature Design and Multiclass Classification for Road User Recognition


May 27, 2019
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

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* Published in Proceedings of IEEE Intelligent Vehicles Symposium (IV), Changshu, China, June 2018, pp. 779-786, ISBN: 9781538644522 
 * 8 pages, 6 figures 
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Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS


May 27, 2019
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

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* Published in Proceedings of IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), Detroit, MI, USA, April 2019, pp. 5-9, ISBN: 978-1-7281-0775-2 
 * 5 pages, 5 figures 
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Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields


May 16, 2019
Tom Hanika, Marek Herde, Jochen Kuhn, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiß, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Sven Tomforde, Katharina Anna Zweig


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Limitations of Assessing Active Learning Performance at Runtime


Jan 29, 2019
Daniel Kottke, Jim Schellinger, Denis Huseljic, Bernhard Sick

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Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble


Oct 09, 2018
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll

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* IEEE Transactions on Intelligent Vehicles 3 (2018), Nr. 4 
 * 10 Pages, 22 figures, accepted for Special Issue of IEEE Transactions on Intelligent Vehicles 
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Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence


Sep 11, 2018
Maarten Bieshaar, Günther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll

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* 20 pages, published at Automatisiertes und vernetztes Fahren (AAET), Braunschweig, Germany, 2017 
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Coopetitive Soft Gating Ensemble


Aug 16, 2018
Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick

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* 8 pages, 10 figures, 4 tables, submitted (accepted for publication) - SISSY 2018 - Workshop on Self-Improving System Integration at IEEE ICAC/ SASO 2018 
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Quantifying the Influences on Probabilistic Wind Power Forecasts


Aug 14, 2018
Jens Schreiber, Bernhard Sick

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* 5 pages; 1 table; 3 figures; This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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Starting Movement Detection of Cyclists Using Smart Devices


Aug 08, 2018
Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick

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* 10 pages, accepted for publication at DSAA 2018, Turin, Italy 
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Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure


Jul 03, 2018
Günther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs

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* 7 pages, 6 figures. submitted (accepted for publication) IEEE Conference on Intelligent Transportation Systems(ITSC) 2018, Maui, HI 
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A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application to Power Forecasting for Renewable Energy Generation


Mar 16, 2018
André Gensler, Bernhard Sick

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Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning


Mar 09, 2018
Michael Goldhammer, Sebastian Köhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer

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Highly Automated Learning for Improved Active Safety of Vulnerable Road Users


Mar 09, 2018
Maarten Bieshaar, Günther Reitberger, Viktor Kreß, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick

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* published in ACM Chapters Computer Science in Cars Symposium (CSCS-17). Munich, Germany. 2017 
 * 4 pages, 1 figure 
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Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network


Mar 06, 2018
Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll

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