MSc
Florian J. Knoll

Projektmitarbeiter Fachbereich Technik

Telefon
+49 (0) 481 8555-456

Telefax
+49 (0) 481 8555-301

E-Mail
knoll(at)fh-westkueste.de

Gebäude: 1.2, Raum: 0.018

Fritz-Thiedemann-Ring 20
25746 Heide

 

 

[+] Curriculum Vitae

Florian Johannes Knoll studierte an der Westküsten Universität für angewandte Wissenschaften (FHW) in Heide Elektrotechnik und Informationstechnik und erhielt den Grad des Dipl. Ing. im Jahr 2009. Nach einem anschließenden Besuch eines Physikstudiums an der Universität Hamburg, absolvierte er ein Masterstudium (M.Sc.) in dem Bereich der mikroelektronischen Systeme. Seit 2014 arbeitet er an seiner Doktorarbeit zum Thema der hochgenauen Unkrauterkennung. Seine Forschungsschwerpunkte liegen in den Bereichen echtzeitfähiger 2D/3D Algorithmen, Sensortechnik, künstlicher neuronaler Netze (Convolution Neural Network) und das Designen eingebetteter Systeme, sowie die Entwicklung von Algorithmen für die FPGA-Implementierung.

[+] Publications

Selected Publications of the last 10 years

Journal Articles:

  1. Knoll, F., Holtorf, T. and Hußmann, S., "Hightech-Revolution?", Trade Journal: “Gemüse”, ISSN  0016-6286, June 2016, pp. 50-51.
  2. Knoll F., Holtorf T. and Hußmann S.,  "Investigation of different plant root exit point vector search algorithms in organic farming", IEEE Trans. on Instrumentation and Measurement, 65(5), 2016, pp. 1035 - 1041.
  3. Hußmann S., Knoll F. and Edeler T.,  "Modulation Method Including Noise Model for Minimizing the Wiggling Error of TOF Cameras", IEEE Trans. on Instrumentation and Measurement, 63(5), 2014, pp. 1127 - 1136.

Conference Articles:

  1. Holtorf, T., Knoll, F. and Hußmann, S., "Multimodal Image Stitching Algorithm for Weed Control Applications in Organic Farming", IEEE Technically Sponsored SAI Computing Conference 2016, 2016, pp. 336 - 342 .
  2. Knoll, F., Holtorf, T. and Hußmann, S., "Investigation of Different Sensor Systems to Classify Plant and Weed in Organic Farming Applications", IEEE Technically Sponsored SAI Computing Conference 2016, 2016, pp. 343 - 348.
  3. Knoll, F., Holtorf, T. and Hußmann, S., "Vegetation index determination method based on color room processing for weed control applications in organic farming", I2MTC 2016, Proc. of the 33th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2016, pp. 1024-1029.
  4. Knoll, F., Holtorf, T., Schmidt, M. and Hußmann, S., "Plant root exit point search algorithm for weed control applications in organic farming", I2MTC 2015, Proc. of the 32th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 18-22.
  5. Knoll, F., Holtorf, T. and Hußmann, S., "Fast Correspondence Search Algorithm for Stereo Vision Range Sensors",I2MTC 2015, Proc. of the 32th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 23-28.
  6. Hußmann, S., Holtorf, T. and Knoll, F., "Investigation of different polar to Cartesian coordinate system conversion methods for ToF-cameras in the close-up range", I2MTC 2015, Proc. of the 32th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 1072-1077.
  7. Edeler, T. and Hußmann, S. and Knoll, F., "Uncertainty analysis for optical time-of-flight sensors based on four-phase-shiftrange calculation", SAS 2014, IEEE Sensors Applications Symposium 2014, 2014, pp. 382-387.
  8. Hußmann, S. and Knoll, F.  "Modulation Method for minimizing the Depth Distortion Offset of Lock-in ToF Cameras", I2MTC 2013, Proc. of the 30th Int. Conf. on Inst. and Meas. Tec., IEEE Instrumentation and Measurement Society, 2013, pp. 551-556.
  9. S. Hussmann, F. Knoll and T. Edeler, "Real-time image Processing of TOF range images using a reconfigurable processor system", Proc. SPIE Vol.8085, Videometrics, Range Imaging and Applications XI, 2011, pp. 808507 (8 ).

[+] Research & Projects

Research Interests

My research interests include Machine Vision applications, 3D-camera design, 3D-image processing, real-time image processing and embedded systems/digital systems design.

Major projects (FHW)

Project Title:Precision-Bio-Weed-Detection
Funding Source/Agency:Land Schleswig Holstein, Exzellenz- und Strukturbudget für "die Stär-
kung der Forschung an Fachhochschulen,
Förderung von Forschungsprojekten" (Germany)
Research Budget:260 k€
Period of funding:2013-2017
Project Title:Large equipment grant for the project Precision-Bio-Weed-Detection
Funding Source/Agency:Land Schleswig Holstein, Struktur- und Exzellenzbudget (Germany)
Research Budget:364 k€
Period of funding: 2014-2015 




[+] Bachelor and Master theses

Supervision of the last 5 years:

Bachelor theses:

  1. Beyer J., "Evaluation of different efficient automatic real-time weed control systems by simultaneously protecting the agricultural crop", West Coast University of Applied Sciences (FHW), Heide,  2016.
  2. Poczihoski, S., "Evaluation of Deep-Learning-Networks for pattern recognition for a weed control application", West Coast University of Applied Sciences (FHW), Heide,  2016.
  3. Piening, P., "Development of an interface circuit for realtime controlling of a linear axis", West Coast University of Applied Sciences (FHW), Heide,  2016.
  4. Pfau, D., "Development and implementation of a multi-PC learning software for artifical neural networks", West Coast University of Applied Sciences (FHW), Heide,  2016.
  5. Meißner, A., "Development of a real-time capable weed control system based on a Kuka robot as well as the evaluation of repeatability and speed of the robot", West Coast University of Applied Sciences (FHW), Heide,  2016.
  6. Battige, N., "Development of an object movement speed measurement setup for various camera sensors", West Coast University of Applied Sciences (FHW), Heide,  2016.
  7. Haiduck, A., "Preparation of an investment appraisal of the automated weed control process benchmarked against conventional weed control process", West Coast University of Applied Sciences (FHW), Heide,  2016.
  8. Czymmek, V., "Development of an energy saving illumination unit for the measurement of different plants", West Coast University of Applied Sciences (FHW), Heide,  2016.
  9. Niang, S., "Development of a real-time weed elimination unit based on current induction by means of a focused Tesla inductor discharge ionization nozzle", West Coast University of Applied Sciences (FHW), Heide,  2015.
  10. Koehne, J., "Development of a real-time data acquisition and visualization software for the energy meter of the West Coast University of Applied Sciences", West Coast University of Applied Sciences (FHW), Heide,  2015.
  11. Merkel, A., "Development of a real-time robot simulation workstation evaluating different sensors and algorithms for the automatic plant detection", West Coast University of Applied Sciences (FHW), Heide,  2015.
  12. Leif Ole Harders, "Entwicklung einer echtzeitfähigen Software zur Verarbeitung des über EUMETCast verbreiteten Datenstroms von Meteosat-Wettersatellitenbildern und Bereitstellung der Bilder auf einem lokalen Server" West Coast University of Applied Sciences (FHW), Heide, 2015
  13. Torben Ferch, "Entwicklung einer Menüführung und eines User-Interfaces via Handgestenerkennung mittels OpenCV für die Navigation in einer Software zur Darstellung visueller Informationen" West Coast University of Applied Sciences (FHW), Heide, 2015
  14. Holtorf, T., "Evaluation of a ToF-camera in the close-up range for robotic applications", West Coast University of Applied Sciences (FHW), Heide, 2014.