Faculty of Science UvA


International Micro Aerial Vehicle competition


The 2022 AI deck challenges research institutes to demonstrate the progress on the level of autonomy of small flying robots with the latest developments in perception. The University of Amsterdam will work both the perception side and the navigation side of this challenge, as described in the 2022 Team Description Paper.

The University of Amsterdam has been involved in three earlier competitions:

The Maneki-Neko team in preparation for the Iran Open

In 2012 the UvA started a cooperation with the TU Delft in the Dutch Unmanned Aerial Solutions team, which participates in the competition:

The earlier approach is best described in the 2013 Team Description Paper, including the references in this document.

Research Logs








  • Niels Sombekke, Wim Pilkes and Arnoud Visser, "Team Description Paper of the UvA Drone Team for the IMAV 2022 Nanocopter AI Challenge - Delft", Universiteit van Amsterdam, May 2022. (PDF) .
  • A.E.M. Visser, Resizing Images with CAIR, Master thesis, Universiteit van Amsterdam, October 2016 (PDF).
  • Dion Oosterman, Improving automatic object detection performance for wildlife conservation drones, Bachelor thesis, Universiteit van Amsterdam, June 2016. (PDF).
  • Jaysinh Sager, Obstacle Avoidance using Monocular Vision on Micro Aerial Vehicles, Master thesis, Universiteit van Amsterdam, May 2014 (PDF).
  • H.R. Oosterhuis, "Evaluation of tracking algorithms to autonomously following dynamic targets at low altitude", Project Report, Universiteit van Amsterdam, August 2013. (PDF).
  • Tim Leunissen, Ilse van der Linden, Tomas Bijkerk, Alexander van Someren and Nynke Schaafsma, "AR.Drone Fotografie - semi-autonome portretfoto's met behulp van gezichtsherkenning", Project Report, Universiteit van Amsterdam, July 2013. (PDF).
  • Robbert van Ginkel, Iris Meerman, Timo Mulder and Jorn Peters, "Autonomous Landing of a Quadcopter on a Predefined Marker", Project Report, Universiteit van Amsterdam, July 2013. (PDF).
  • Duco de Vries, Jeroen Rijnbout and Romy Visser, "Using a coloured-based tracking algorithm to avoid collisions with the Crazyflie Nano Quadcopter", Project Report, Universiteit van Amsterdam, July 2013. (PDF).
  • Areg Shahbazian, Mick van het Nederend and Wessel Klijnsma, "Autonomously exploring indoor environments with an UAS", Project Report, Universiteit van Amsterdam, June 2013. (PDF).
  • Camiel Verschoor and Arnoud Visser, "Integrating disparity and edge detection algorithms to autonomously follow linear-shaped structures at low altitude", Proceedings of the RoboCup IranOpen 2013 Symposium (RIOS13), April 2013. (PDF).
  • Arnoud Visser, "The International Micro Air Vehicle flight competition as autonomy benchmark", Robotics Competition: Benchmarking, Technology, Transfer and Education Workshop - European Robotics Forum, Lyon, France, March 20, 2013. (PDF)
  • Camiel R. Verschoor, Auke J. Wiggers, Harrie R. Oosterhuis and Arnoud Visser, "Maneki-Neko - Team Description for Iran Open UAV 2013 - Teheran, Iran", Universiteit van Amsterdam, February 2013. (PDF).
  • C. R. Verschoor, "Sensor Fusion on a mini Unmanned Vehicle. Integrating visionbased algorithms on an Parrot AR.Drone to autonomously follow linear shaped structures in a landscape", Bachelor's thesis, Universiteit van Amsterdam, July 2012. ( (PDF) ).
  • N. Dijkshoorn, "Simultaneous localization and mapping with the AR.Drone", Master's thesis, Universiteit van Amsterdam, July 2012. ( PDF ).
  • N. Dijkshoorn and A. Visser, "An elevation map from a micro aerial vehicle for Urban Search and Rescue - UvA Rescue - RoboCup Rescue Simulation League", Proceedings of the RoboCup competition, June 2012. ( PDF).
  • N. Dijkshoorn and A. Visser, "Integrating Sensor and Motion Models to Localize an Autonomous AR.Drone", International Journal of Micro Air Vehicles, volume 3(4):pp. 183-200, December 2011. ( PDF).
  • A. Visser, N. Dijkshoorn, M. van der Veen and R. Jurriaans, "Closing the gap between simulation and reality in the sensor and motion models of an autonomous AR.Drone", in "Proceedings of the International Micro Air Vehicle Conference and Flight Competition (IMAV11)", September 2011. ( PDF).
  • R. Jurriaans, "Flow based Obstacle Avoidance for Real World Autonomous Aerial Navigation Tasks", Bachelor's thesis, Universiteit van Amsterdam, August 2011.(PDF).
  • M. van der Veen, "Optimizing Artificial Force Fields for Autonomous Drones in the Pylon Challenge using Reinforcement Learning", Bachelor's thesis, Universiteit van Amsterdam, July 2011. (PDF).
  • M. Inja and M. de Waard, "Autonomous Flight With the Ar Drone", Project Report, Universiteit van Amsterdam, January 2011. (PDF).
  • M. van der Veen, R. Jurriaans and A. Visser, "UvA Drone Team - Team Description Paper - IMAV 2011, Parrot AR.Drone competition", November 2010. (PDF).