Mrukwa, AnnaMajek, Karol2023-09-252023-09-252023Mrukwa A., Majek K., Semantic Segmentation for Autonomous Drone Delivery SUADD’23 Challenge. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 451-455, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.71.978-83-66741-92-8http://hdl.handle.net/11652/4847https://doi.org/10.34658/9788366741928.71The popularity of drones as well as other different flying devices remains undeterred for several years now, with various industries recognizing their usefulness in a range of applications. However, the effectiveness of such systems is heavily dependent on real-time autonomous surface identification. The goal of this work is to evaluate recently published dataset dedicated to Unmanned Aircraft Systems. We performed experiments using several semantic segmentation neural network architectures. We outline possible improvements for future research and promising results for attentionbased solutions in the field.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionautonomous unmanned aircraft systemssemantic segmentationautonomiczne systemy bezzałogowych statków powietrznychsegmentacja semantycznaRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.71