Veröffentlichungen zu aktuellen Forschungsprojekten

  • V. Kress, S. Zernetsch, K. Doll, and B. Sick: Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Springer International Publishing, pp. 57-71
  • V. Kress, S. Schreck, S. Zernetsch, K. Doll, and B. Sick: Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks, 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, 2020, pp. 2723-2730
  • S. Zernetsch, S. Schreck, V. Kress, K. Doll, and B. Sick: Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution, 2020 International Conference on Pattern Recognition (ICPR), Milan, (accepted)
  • M. Goldhammer, S. Köhler, S. Zernetsch, K. Doll, B. Sick, and K. Dietmayer: Intentions of Vulnerable Road Users – Detection and Forecasting by Means of Machine Learning, 2020 IEEE Transactions on Intelligent Transportation Systems, 2020, vol. 21, no. 7, pp. 3035-3045
  • V. Kress, S. Zernetsch, K. Doll, and B. Sick: Pose Based Trajectory Forecast of Vulnerable Road Users, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, 2019, pp. 1200-1207
  • V. Kress, J. Jung, S. Zernetsch, K. Doll, and B. Sick: Pose Based Start Intention Detection of Cyclists, 2019 IEEE 22th International Conference on Intelligent Transportation Systems (ITSC), Auckland, 2019, pp. 2381-2386
  • V. Kress, J. Jung, S. Zernetsch, K. Doll, and B. Sick: Start Intention Detection of Cyclists using an LSTM Network, INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft (Workshop-Beiträge). Bonn : Gesellschaft für Informatik e.V., 2019, S. 219-228
  • S. Zernetsch, H. Reichert, V. Kress, K. Doll, and B. Sick: Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks, 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, 2019
  • V. Kress, J. Jung, S. Zernetsch, K. Doll and B. Sick: Human Pose Estimation in Real Traffic Scenes, 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, 2018, pp. 518-523
  • G. Reitberger, S. Zernetsch, M. Bieshaar, B. Sick, K. Doll, and E. Fuchs: Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure, 2018 IEEE International Conference in Intelligent Transportation Systems (ITSC), Maui, 2018
  • S. Zernetsch, V. Kress, B. Sick, and K. Doll: Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network, 2018 IEEE Intelligent Vehicles Symposium (IV), Chang Shu, 2018, pp. 2036-2041
  • S. Köhler, K. Doll, S. Kebinger, D. Schmitt, M. Kröhn, M. Fried and R. Börsig: Prozessinnovation: Hochautomatisiert lernendes Assistenzsystem für die manuelle Montage, Konferenz für Angewandte Automatisierungstechnik in Lehre und Entwicklung (AALE), Seite 153-164, Köln, 2018, (ISBN: 978-3-8007-4522-7)
  • S. Köhler, K. Doll, S. Kebinger, D. Schmitt, M. Kröhn, M. Fried and R. Börsig: Gestenerkennung in einem hochautomatisiert lernenden Assistenzsystem für manuelle Montageprozesse, AUTOMATION 2018, VDI-Berichte 2330, Seite 145-156, Baden-Baden, 2018, (ISBN: 978-3-18-092330-7)
  • M. Bieshaar, S. Zernetsch, A. Hubert, B. Sick, and K. Doll: Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble IEEE Transactions on Intelligent Vehicles, 2018, 3, 534-544
  • M. Bieshaar, G. Reitberger, V. Kreß, S. Zernetsch, K. Doll and E. Fuchs, B. Sick: Highly Automated Learning for Improved Active Safety of Vulnerable Road Users, ACM Chapters Computer Science in Cars Symposium (CSCS), München, Juli 2017
  • M. Bieshaar, S. Zernetsch, M. Depping, B. Sick and K. Doll: Cooperative starting intention detection of cyclists based on smart devices and infrastructure, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, 2017, pp. 1-8
  • J. Eilbrecht, M. Bieshaar, S. Zernetsch, K. Doll, B. Sick and O. Stursberg: Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks, 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, 2017, pp. 1-8
  • A. Hubert, S. Zernetsch, K. Doll and B. Sick: Cyclists starting behavior at intersections: 2017 IEEE Intelligent Vehicles Symposium (IV), Los Angeles, CA, 2017, pp. 1071-1077
  • B. Maarten, G. Reitberger, S. Zernetsch, B. Sick, E. Fuchs and K. Doll: Detecting intentions of vulnerable road users based on collective intelligence, AAET – Automatisiertes und vernetztes Fahren, 04.05.2017
  • K. Doll and K. Zindler: Hochautomatisiertes Fahren: Sensordatenverarbeitung und Fahrzeugführung, Technologieforum Innovative Sensorik-Anwendungen im Automotive-Bereich, 2016
  • M. Kröhn, E. Eifert, K. Doll, T. Prochus and M. Hahnle: Gestengesteuerte Prozessanalyse: Mit intelligenten Lösungen in die Fabrik der Zukunft, atp edition 12, 2016
  • S. Zernetsch, S. Kohnen, M. Goldhammer, K. Doll and B. Sick: Trajectory Prediction of Cyclists Using a Physical Model and an Artificial Neural Network, 2016 IEEE Intelligent Vehicles Symposium, Gothenburg, Sweden, pp. 833-838
  • S. Hock, M. Hahnle and K. Doll: Fusion von Fußgängererkennungen auf FPGAs, 55. Workshop der Multiproject-Chip-Gruppe Baden-Württemberg, Karlsruhe, 05.02.2016
  • M. Goldhammer, S. Köhler, K. Doll and B. Sick: Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptrons, Intelligent Systems and Applications: Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015, Springer International Publishing, pp. 259-279, 2016
  • S. Köhler, M. Goldhammer, K. Zindler, K. Doll and K. Dietmayer: Stereo-Vision-Based Pedestrian’s Intention Detection in a Moving Vehicle, International IEEE Conference on Intelligent Transportation Systems (ITSC 2015), Las Palmas de Gran Canaria, Spain, S. 2317-2322, 2015
  • S. Hahn, K. Zindler, K. Doll and U. Jumar: New Control Scheme for a Lane-Keeping Evasive Maneuver Exploiting the Free Space Optimally, 20th International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, S. 856-861, 2015
  • K. Doll, S. Köhler, M. Goldhammer and U. Brunsmann, Pedestrian Movement Modelling and Trajectory Prediction at Urban Intersections, Vortrag im Rahmen des Workshops “Interaction of Automated Vehicles with other Traffic Participants”, International IEEE Conference on Intelligent Transportation Systems (ITSC 2015), Las Palmas de Gran Canaria, Spain, 2015
  • M. Goldhammer, S. Köhler, K. Doll and B. Sick: Camera Based Pedestrian Path Prediction by Means of Polynomial Least-squares Approximation and Multilayer Perceptron Neural Networks, SAI Intelligent Systems Conference 2015, London, UK, S. 390-399, 2015
  • K. Zindler, N. Geiß, K. Doll and S. Heinlein: Real-Time Ego-Motion Estimation using Lidar and a Vehicle Model Based Extended Kalman Filter, International IEEE Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, pp. 425-432, 2014
  • M. Goldhammer, A. Hubert, S. Köhler, K. Zindler, U. Brunsmann, K. Doll and B. Sick: Analysis on Termination of Pedestrians‘ Gait at Urban Intersections, International IEEE Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, pp. 1752-1757, 2014
  • M. Goldhammer, K. Doll, U. Brunsmann, A. Gensler and B. Sick: Pedestrian’s Trajectory Forecast in Public Traffic with Artificial Neural Networks, International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden, pp. 4110–4115, 2014
  • S. Köhler, M. Goldhammer, S. Bauer, S. Zecha, K. Doll. U. Brunsmann and K. Dietmayer: Stationary Detection of the Pedestrian's Intention at Intersections, IEEE Intelligent Transportation Systems Magazine, pp. 87-99, Winter 2013
  • M. Goldhammer, M. Gerhard, S. Zernetsch, K. Doll and U. Brunsmann: Early Prediction of a Pedestrian's Trajectory at Intersections, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), The Haag, The Netherlands, pp. 237-242, 2013
  • M. Hahnle, F. Saxen, M. Hisung, U. Brunsmann and K. Doll: FPGA-based Real-Time Pedestrian Detection on High-Resolution Images, 9th IEEE Embedded Vision Workshop 2013, Portland, Oregon, USA, pp. 629-635, 2013
  • S. Köhler, B. Schreiner, S. Ronalter, K. Doll, U. Brunsmann and K. Zindler: Autonomous Evasive Maneuvers Triggered by Infrastructure-Based Detection of Pedestrian Intentions, IEEE Intelligent Vehicles Symposium (IV' 13), Gold Coast, Australien, pp. 519-526, 2013
  • M. Hahnle, F. Saxen and K. Doll: Erkennung von Fußgängern in Echtzeit auf FPGAs, 49. MPC-Workshop, Mannheim, 2013
  • S. Köhler, K. Doll and U. Brunsmann: Videobasierte Erkennung von Fußgängerintentionen zur Steigerung der Verkehrssicherheit, Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November, 2012
  • M. Goldhammer, U. Brunsmann and K. Doll: Verkehrssicherheitsforschung: Bildverarbeitung an intelligenten Kreuzungen, Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November, 2012
  • S. Köhler, M. Goldhammer, S. Bauer, K. Doll, U. Brunsmann and K. Dietmayer: Early Detection of the Pedestrian’s Intention to Cross the Street, 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA, pp. 1759-1764, 2012
  • M. Goldhammer, E. Strigel, D. Meissner, U. Brunsmann, K. Doll and K. Dietmayer: Cooperative Multi Sensor Network for Traffic Safety Applications at Intersections, 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA, pp. 1178-1183, 2012
  • D. Westhofen, C. Gründler, K. Doll, U. Brunsmann and S. Zecha: Transponder- and Camera-Based Advanced Driver Assistance System, IEEE Intelligent Vehicles Symposium (IV' 12), Alcala de Henares, Spanien, pp. 293-298, 2012
  • F. Fellhauer, M. Schmitt and K. Doll: Echtzeit-BLOB-Analyse mit Lauflängenkodierung und -dekodierung auf einem FPGA, 47. MPC-Workshop, Offenburg, pp. 35–41, 2012
  • J. Kempf, M. Schmitt, S. Bauer, U. Brunsmann and K. Doll: Real-Time Processing of High-Resolution Image Streams using a Flexible FPGA Platform, Proceedings of the Embedded World Conference, Nürnberg, 2012
  • F. Saxen, K. Doll and U. Brunsmann: Support Vector Pruning with SortedVotes for Large-Scale Datasets, IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2011), Guangzhou, China, pp. 305-309, 2011
  • S. Schlotterbeck-Macht, K. Doll and U. Brunsmann: Introducing Chip Design using Speed of Light, 7th. International CDIO Conference, Kopenhagen, Dänemark, 2011. <a href="http://www.cdio2011.dtu.dk/upload/administrationen%20-%20101/aus/cdio/conference_media/papers/19_paper.pdf"> pdf</a>
  • D. Weimer, S. Köhler, C. Hellert, K. Doll, U. Brunsmann and R. Krzikalla: GPU Architecture for Stationary Multisensor Pedestrian Detection at Smart Intersections, IEEE Intelligent Vehicles Symposium (IV'11), Baden-Baden, pp 89-94, 2011. <a href="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5940411">IEEE Xplore</a>
  • J. Kempf and K. Doll: Modulare Hardware-Software Bildverarbeitungsplattform am Beispiel einer Vordergrund-Hintergrundtrennung, 45. MPC-Workshop, Albstadt-Sigmaringen, 2011
  • M. Berberich and K. Doll: Highly Flexible FPGA-Architecture of a Support Vector Machine, 45. MPC-Workshop, Albstadt-Sigmaringen, 2011
  • S. Bauer, S. Köhler, K. Doll and U. Brunsmann: FPGA-GPU Architecture for Kernel SVM Pedestrian Detection; Embedded Computer Vision Workshop, CVPR, San Francisco, 2010
  • U. Brunsmann, K. Doll, C. Hellert, J. Kempf, S. Köhler, F. Saxen and D. Weimer: Intelligente Verkehrssicherheits- und Informationssysteme, Posterpräsentation und Echtzeitdemonstration, Messestand SafetyExpo, Aschaffenburg, 2010
  • Th. Duttine and K. Doll: Realisierung eines FPGA-basierten Echtzeitdifferenzbildsensors für Verkehrsassistenzsysteme, 41. MPC-Workshop, Künzelsau, pp 51-60, 2009
  • S. Bauer, U. Brunsmann, K. Doll, T. Duttine and S. Schlotterbeck-Macht: Kompetenz in Kreuzungsassistenz, Posterpräsentation und Echtzeitdemonstration, Messestand SafetyExpo, Aschaffenburg, 2009