PROF. DR.-ING. KONRAD DOLL

Doll, Konrad | Intelligent Systems

Research Area:
Intelligent Systems

Aschaffenburg University of Applied Sciences, Germany
Faculty: Engineering

E-Mail: Konrad.Dollth-abde
Phone: +49 6021/4206-720

Areas of Expertise



Research Labs & Institutes

Special equipment: Research intersection and research vehicle with a variety of sensors, High performance computer


Research Projects


KAnIS Autonomous Intralogistric Systems

KAnIS Autonomous Intralogistric Systems

ArtificialIntelligenceDataSciences   ElectronicElectricDrives   RoboticsAutomation   IntelligentMobility   IntelligentSensorsSignals

Network and automate industrial trucks in order to optimize profitability, efficiency and safety. Development and application of interdisciplinary methods and tools.
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DeCoInt2 Cooperative Intention Detection

DeCoInt2 Cooperative Intention Detection

IntelligentMobility   ArtificalIntelligenceDataScience   IntelligentSensorsSignals

The DeCoInt2 project aims to recognize the intentions of unprotected road users in traffic with automated vehicles using cooperative technologies.

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KI Data Tooling (AI)

KI Data Tooling (AI)

IntelligentMobility   ArtificalIntelligenceDataScience  IntelligentSensorsSignals  CompetenceCenterAI

Development of methods and tools for generation and optimization of training- and validation data for AI functions in autonomous vehicles.
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GesInA40 Assistent System

GesInA40 Assistent System

ArtifialIntelligenceDataScience   IntelligentSensorsSignals

Development of a self-learning camera- and sensor-based assistance system for manual assembly workplaces.

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Vespah Improving Speech Intelligibility

Vespah Improving Speech Intelligibility

IntelligentMobility   ArtificalIntelligenceDataSciene   IntelligentSensorsSignals

Improving speech intelligibility in vehicle interiors using digital real-time signal processing.
 

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AFUSS: Active Pedestrian Protection

AFUSS 

IntelligentMobility   IntelligentSensorsSignals   RoboticsAutomation

Active avoidance of pedestrian accidents through autonomous emergency evasive maneuvers.


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Curriculum Vitae

since 2016Aschaffenburg UASResearch Professorship Cooperative Automatic Traffic Systems
2007-2011Aschaffenburg UASChairman of the Senate, Vice Chairman of the University Council
2001-2007Aschaffenburg UASVice President
since 1997Aschaffenburg UASProfessorship
1994-1997Motorola GmbH, MunichSemiconductor Division
1989-1994Technical University of MunichResearch Assistant & Doctorate at the Chair of Computer Aided Design
1984-1989Technical University of MunichStudies of Electrical Engineering

Awards

2015Best Paper Award at the SAI Intelligent Systems Conference 2015
2013Best Paper Award at the IEEE Embedded Vision Workshop 2013
2010Best Paper Award at the IEEE Embedded Vision Workshop 2010

Interest in Interdisciplinary Research Topics

  • Use of artificial intelligence and machine learning in other areas of application


Publications

  • Kreß, Viktor, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, 2020. Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. In: ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges. Cham: Springer International Publishing, S. 57 – 71. ISBN 978-3-030-68763-2. Abstract
  • Kress, Viktor, Schreck, Steven, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, 2020. Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). Canberra, Australia: IEEE, S. 2723 – 2730. ISBN 978-1-7281-2548-0. Abstract
  • Kreß, Viktor, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, 2019. Pose Based Trajectory Forecast of Vulnerable Road Users. In: IEEE Symposium Series on Computational Intelligence (SSCI). Xiamen, China: IEEE, S. 1200 – 1207. Abstract
  • Zernetsch, Stefan, Reichert, Hannes, Kreß, Viktor, Doll, Konrad, Sick, Bernhard, 2019. Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks. In: 2019 IEEE Intelligent Vehicles Symposium (IV). Paris, France: IEEE, Abstract
  • Kreß, Viktor, Jung, Janis, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, 2019. Start Intention Detection of Cyclists using an LSTM Network. In: INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge). Bonn: Gesellschaft für Informatik e.V., S. 219 – 228. ISBN 978-3-88579-689-3 und ISSN 1617-5468. Abstract
  • Kreß, Viktor, Jung, Janis, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, 2019. Pose Based Start Intention Detection of Cyclists. Auckland: IEEE, S. 2381 – 2386. Abstract
  • Goldhammer, Michael, Köhler, Sebastian, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, Dietmayer, Klaus, 2019. Intentions of Vulnerable Road Users – Detection and Forecasting by Means of Machine Learning. In: IEEE Transactions on Intelligent Transportation Systems. 2020(21 / 7), S. 3035 – 3045.
  • Kreß, Viktor, Jung, Janis, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, 2018. Human Pose Estimation in Real Traffic Scenes. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI). Bangalore, India: IEEE, S. 518 – 523.
  • Köhler, Sebastian, Doll, Konrad, Kebinger, Sophie, Schmitt, Daniel, Kröhn, Michael, Fried, Maik, Börsig, Rainer, 2018. Prozessinnovation: Hochautomatisiert lernendes Assistenzsystem für die manuelle Montage. Köln: S. 153 – 164. ISBN 978-3-8007-4522-7. Abstract
  • Köhler, Sebastian, Doll, Konrad, Kebinger, Sophie, Schmitt, Daniel, Kröhn, Michael, Fried, Maik, Börsig, Rainer, 2018. Gestenerkennung in einem hochautomatisiert lernenden Assistenzsystem für manuelle Montageprozesse. In: AUTOMATION 2018, VDI-Berichte 2330. Baden-Baden: S. 145 – 156. ISBN 978-3-18-092330-7.
  • Reitberger, Günther, Bieshaar, Maarten, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, Fuchs, Erich, 2018. Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure. In: 21st International Conference on Intelligent Transportation Systems (ITSC) 2018. Maui, HI, USA: IEEE, Abstract
  • Bieshaar, Maarten, Zernetsch, Stefan, Hubert, Andreas, Sick, Bernhard, Doll, Konrad, 2018. Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble. In: IEEE Transactions on Intelligent Vehicles. 3(4), S. 534 – 544. Abstract
  • Zernetsch, Stefan, Kreß, Viktor, Sick, Bernhard, Doll, Konrad, 2018. Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. In: 2018 IEEE Intelligent Vehicles Symposium (IV). Changshu, China: IEEE, Abstract
  • Bieshaar, Maarten, Reitberger, Günther, Kreß, Viktor, Zernetsch, Stefan, Doll, Konrad, Fuchs, Erich, Sick, Bernhard, 2017. Highly Automated Learning for Improved Active Safety of Vulnerable Road Users. In: ACM Chapters Computer Science in Cars Symposium (CSCS-17). München:
  • Bieshaar, Maarten, Zernetsch, Stefan, Depping, Malte, Sick, Bernhard, Doll, Konrad, 2017. Cooperative Starting Intention Detection of Cyclists based on Smart Devices and Infrastructure. In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). Yokohama, Japan: IEEE, S. 1 – 8.
  • Eilbrecht, Jan, Bieshaar, Maarten, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, Stursberg, Olaf, 2017. Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Honolulu, HI, USA: IEEE, S. 1 – 8.
  • Hubert, Andreas, Zernetsch, Stefan, Doll, Konrad, Sick, Bernhard, 2017. Cyclists starting behavior at intersections. In: 2017 IEEE Intelligent Vehicles Symposium (IV). Los Angeles, CA, USA: IEEE, S. 1071 – 1077.
  • Zindler, Klaus, Doll, Konrad, Huber, Bertold, 2017. Sicher unterwegs - Fortschritte beim aktiven Fußgängerschutz. In: messtec drives Automation. 25(03), S. 82 – 82.
  • Bieshaar, Maarten, Reitberger, Günther, Zernetsch, Stefan, Sick, Bernhard, Fuchs, Erich, Doll, Konrad, 2017. Detecting intentions of vulnerable road users based on collective intelligence. In: AAET – Automatisiertes und vernetztes Fahren. S. 67 – 87. Abstract
  • Hock, Sascha, Hahnle, Michael, Doll, Konrad, 2016. Fusion von Fußgängererkennungen auf FPGAs. In: 55. Workshop der Multiprojekt-Chip-Gruppe Baden-Württemberg. Abstract
  • Goldhammer, Michael, Köhler, Sebastian, Doll, Konrad, Sick, Bernhard, 2016. Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptrons. In: Intelligent Systems and Applications - Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2015. Springer International Publishing, S. 259 – 279. ISBN 978-3-319-33386-1. Abstract
  • Doll, Konrad, Zindler, Klaus, 2016. Hochautomatisiertes Fahren: Sensorik, Sensordatenverarbeitung und Fahrzeugführung. In: Technologieforum Innovative Sensorik-Anwendungen im Automotive-Bereich. Abstract
  • Kröhn, Michael, Reuter, Norbert, Hahnle, Michael, Prochus, Tobias, Doll, Konrad, 2016. Gestengesteuerte Prozessanalyse. In: atp edition - Automatisierungstechnische Praxis. 58(12), S. 26 – 33.
  • Kröhn, Michael, Eifert, Erik, Reuter, Norbert, Hahnle, Michael, Prochus, Tobias, Doll, Konrad, 2016. Gestenbasierte Prozessanalyse. In: atp edition. 2016(12), S. 26 – 33. Abstract
  • Zernetsch, Stefan, Kohnen, Sascha, Goldhammer, Michael, Doll, Konrad, Sick, Bernhard, 2016. Trajectory prediction of cyclists using a physical model and an artificial neural network. In: Intelligent Vehicles Symposium (IV), 2016. S. 833 – 838. Abstract
  • Hahn, Stefan, Zindler, Klaus, Doll, Konrad, Jumar, Ulrich, 2015. New Control Scheme for a Lane-Keeping Evasive Maneuver Exploiting the Free Space Optimally. In: Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics,Miedzyzdroje, Poland, 24-27 August, 2015. S. 856 – 861.
  • Goldhammer, Michael, Köhler, Sebastian, Doll, Konrad, Sick, Bernhard, 2015. Camera Based Pedestrian Path Prediction by Means of Polynomial Least-squares Approximation and Multilayer Perceptron Neural Networks. In: SAI Intelligent Systems Conference (IntelliSys), 2015. IEEE, S. 390 – 399. Abstract
  • Köhler, Sebastian, Goldhammer, Michael, Zindler, Klaus, Doll, Konrad, Dietmayer, Klaus, 2015. Stereo-Vision-Based Pedestrian's Intention Detection in a Moving Vehicle. In: Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on. S. 2317 – 2322. Abstract
  • Doll, Konrad, Köhler, Sebastian, Goldhammer, Michael, Brunsmann, Ulrich, 2015. Pedestrian Movement Modelling and Trajectory Prediction at Urban Intersections. In: International IEEE Conference on Intelligent Transportation Systems (ITSC 2015). Las Palmas de Gran Canaria, Spain: Abstract
  • Goldhammer, Michael, Hubert, Andreas, Köhler, Sebastian, Zindler, Klaus, Brunsmann, Ulrich, Doll, Konrad, Sick, Bernhard, 2014. Analysis on Termination of Pedestrians‘ Gait at Urban Intersections. In: Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on. Qingdao, China: IEEE, S. 1758 – 1763.
  • Goldhammer, Michael, Doll, Konrad, Brunsmann, Ulrich, Gensler, Andre, Sick, Bernhard, 2014. Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks. In: 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden. IEEE, S. 4110 – 4115. ISBN 978-1-4799-5208-3 und ISSN 1051-4651.
  • Zindler, Klaus, Geiß, Niklas, Doll, Konrad, Heinlein, Sven, 2014. Real-Time Ego-Motion Estimation using Lidar and a Vehicle Model Based Extended Kalman Filter. In: Proceedings of the IEEE 17th International Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, October 8-11, 2014. IEEE, S. 431 – 438.
  • Zindler, Klaus, Doll, Konrad, 2014. Starke Partner für eine starke Region. Abstract
  • Köhler, Sebastian, Schreiner, Brian, Ronalter, Steffen, Doll, Konrad, Brunsmann, Ulrich, Zindler, Klaus, 2013. Autonomous Evasive Maneuvers Triggered by Infrastructure-Based Detection of Pedestrian Intentions. In: IEEE Intelligent Vehicles Symposium (IV' 13), Gold Coast, Australien, 23.-26. Juni. S. 519 – 526. ISSN 1931-0587.
  • Köhler, Sebastian, Goldhammer, Michael, Bauer, Sebastian, Zecha, Stephan, Doll, Konrad, Brunsmann, Ulrich, Dietmayer, Klaus, 2013. Stationary Detection of the Pedestrian's Intention at Intersections. In: IEEE Intelligent Transportation Systems Magazine. 2013(5), S. 87 – 99. ISSN 1939-1390.
  • Goldhammer, Michael, Gerhard, Matthias, Zernetsch, Stefan, Doll, Konrad, Brunsmann, Ulrich, 2013. Early Prediction of a Pedestrian's Trajectory at Intersections. In: 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2013), The Hague, The Netherlands. IEEE, S. 237 – 242. ISBN 978-1-4799-2914-6.
  • Hahnle, Michael, Saxen, Frerk, Hisung, Matthias, Brunsmann, Ulrich, Doll, Konrad, 2013. FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Portland, USA. IEEE, S. 629 – 635. ISBN 978-0-7695-4990-3 und ISSN 2160-7508.
  • Hahnle, Michael, Saxen, Frerk, Doll, Konrad, 2013. Erkennung von Fußgängern in Echtzeit auf FPGAs. In: 49. MPC-Workshop, Mannheim, Deutschland. S. 57 – 65. ISSN 1868-9221.
  • Goldhammer, Michael, Brunsmann, Ulrich, Doll, Konrad, 2012. Verkehrssicherheitsforschung: Bildverabeitung an intelligenten Kreuzungen. In: Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November.
  • Fellhauer, Felix, Schmitt, Marc, Doll, Konrad, 2012. Echtzeit-BLOB-Analyse mit Lauflängenkodierung und -dekodierung auf einem FPGA. In: MPC-Workshop, Offenburg, 2012. S. 35 – 42. ISSN 1868-9221.
  • Kempf, Johannes, Schmitt, Marc, Bauer, Sebastian, Brunsmann, Ulrich, Doll, Konrad, 2012. Real-Time Processing of High-Resolution Image Streams using a Flexible FPGA Platform. In: Embedded World Conference, Nürnberg, Germany.
  • Köhler, Sebastian, Doll, Konrad, Brunsmann, Ulrich, 2012. Videobasierte Erkennung von Fußgängerintentionen zur Steigerung der Verkehrssicherheit. In: Messe-Exponat und Vortrag, Vision 2012, Stuttgart, 06.-08. November.
  • Köhler, Sebastian, Goldhammer, Michael, Bauer, Sebastian, Doll, Konrad, Brunsmann, Ulrich, Dietmayer, Klaus, 2012. Early Detection of the Pedestrian’s Intention to Cross the Street. In: 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA.. S. 1759 – 1764.
  • Goldhammer, Michael, Strigel, Elias, Meissner, Daniel, Brunsmann, Ulrich, Doll, Konrad, Dietmayer, Klaus, 2012. Cooperative Multi Sensor Network for Traffic Safety Applications at Intersections. In: 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, Alaska, USA.. S. 1178 – 1183.
  • Westhofen, Daniel, Gründler, Carolin, Doll, Konrad, Brunsmann, Ulrich, Zecha, Stephan, 2012. Transponder- and Camera-Based Advanced Driver Assistance System. In: IEEE Intelligent Vehicles Symposium (IV' 12), Alcala de Henares, Spain. S. 293 – 298. ISBN 978-1-4673-2119-8 und ISSN 1931-0587.
  • Berberich, Markus, Doll, Konrad, 2011. Highly Flexible FPGA-Architecture of a Support Vector Machine. In: 45. MPC-Workshop, Albstadt-Sigmaringen. S. 25 – 32. ISSN 1868-9221.
  • Weimer, Daniel, Köhler, Sebastian, Hellert, Christian, Doll, Konrad, Brunsmann, Ulrich, Krzikalla, Roland, 2011. GPU Architecture for Stationary Multisensor Pedestrian Detection at Smart Intersections. In: IEEE Intelligent Vehicles Symposium, Baden Baden, Germany. IEEE, S. 89 – 94.
  • Saxen, Frerk, Doll, Konrad, Brunsmann, Ulrich, 2011. Support Vector Pruning with SortedVotes for Large-Scale Datasets. In: IEEE international conference on intelligent computing and intelligent systems, Guangzhou. S. 305 – 309.
  • Schlotterbeck-Macht, Stefan, Doll, Konrad, Brunsmann, Ulrich, 2011. Introducing Chip Design using Speed of Light. In: 7th International CONCEIVE DESIGN IMPLEMENT OPERATE Conference Kopenhagen, Denmark.
  • Kempf, Johannes, Doll, Konrad, 2011. Modulare Hardware-Software Bildverarbeitungsplattform am Beispiel einer Vordergrund-Hintergrundtrennung. In: 45. MPC-Workshop, Albstadt-Sigmaringen. S. 19 – 24. ISSN 1868-9221.
  • Brunsmann, Ulrich, Doll, Konrad, Hellert, Christian, Kempf, Johannes, Köhler, Sebastian, Saxen, Frerk, Weimer, Daniel, 2010. Intelligente Verkehrssicherheits- und Informationssysteme. In: Safety Expo, Aschaffenburg. Abstract
  • Bauer, Sebastian, Köhler, Sebastian, Doll, Konrad, Brunsmann, Ulrich, 2010. FPGA-GPU Architecture for Kernel SVM Pedestrian Detection. In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR, San Francisco. S. 61 – 68. ISBN 978-1-4244-7029-7.
  • Bauer, Sebastian, Brunsmann, Ulrich, Doll, Konrad, Duttine, Thomas, Schlotterbeck-Macht, Stefan, 2009. Kompetenz in Kreuzungsassistenz. In: Safety Expo, Aschaffenburg. Abstract
  • Duttine, Thomas, Doll, Konrad, 2009. Realisierung eines FPGA-basierten Echtzeitdifferenzbildsensors für Verkehrsassistenzsysteme. In: 41. MPC-Workshop, Künzelsau, Deutschland. S. 51 – 60. ISSN 1862-7102.

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