Semantic Segmentation for Autonomous Drone Delivery SUADD’23 Challenge
Ładowanie...
Data
2023
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
The 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.
Opis
Słowa kluczowe
autonomous unmanned aircraft systems, semantic segmentation, autonomiczne systemy bezzałogowych statków powietrznych, segmentacja semantyczna
Cytowanie
Mrukwa 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.