The article “Hear and Avoid for UAVs Using Convolutional Neural Networks” has won a special achievement award at IMAV 2019 in Madrid! The reviewers and the award committee considered the work an important step towards autonomous detect-and-avoid methods on drones. They also appreciated the open-access nature of the data gathered within the PercEvite project.

The article
D. Wijnker, T. van Dijk, M. Snellen, G. C. H. E. de Croon, and C. De Wagter, “Hear and avoid for UAVs using convolutional neural networks,” 11th International Micro Air Vehicle Competition and Conference (IMAV 2019), Madrid, Spain, 2019, pp. 144–156. PDF
The extended journal version:
Hear-and-avoid for unmanned air vehicles using convolutional neural networks. In: International Journal of Micro Air Vehicles, vol. 13, 2021, ISSN: 1756-8293.
