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 Participantsâ€, 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