TY - JOUR A1 - Meinberg, Uwe T1 - Informatik steuert den Materialfluss Y1 - 2006 ER - TY - CHAP A1 - Banse, Gerhard T1 - Die Rolle von Wissenschaft, Forschung und Bildung für Nachhaltigkeit = Znaczenie nauki, bada´n i ksztaºlcenia dla zrównowa±zonego rozwoju N2 - Poln. Ausg. u.d.T.: Zrównowazony rozwój: od naukowego badania do politycznej strategii Y1 - 2005 ER - TY - JOUR A1 - Banse, Gerhard A1 - Kiepas, Andrzej T1 - Wer ist das Zentrum für Nachhaltigkeit und Informationsgesellschaft (CRI) Y1 - 2005 ER - TY - JOUR A1 - Müller, Steffen A1 - Schnabel, Stefan T1 - RFID-Transpondertechnik optimiert logistische Prozesse Y1 - 2005 ER - TY - GEN A1 - Nattke, Matthias A1 - Rotta, Randolf A1 - Natarov, Roman A1 - Archila, Oscar A1 - Mykytyn, Pavlo T1 - Precise sensors for localization in the drone swarm T2 - Proceedings iCCC2024 - iCampµs Cottbus Conference, 2024-05-14 - 2024-05-16, Cottbus N2 - Drones can be connected as a swarm to precisely monitor large agricultural areas and manage them more sustainable. They test sensor technology in real environments and solve complex tasks faster. Key aspects include accurate localization, reliable communication, and dynamic flight control. The localization accuracy of RTK-GNSS-enabled system, which includes GPS, GLONASS, GALILEO positioning systems is compared with Ultra-Wideband (UWB) one. The UPWARDS communication hub is presented as a processing and connection point across swarm agents. This controller also incorporates collision avoidance features and testing of evasion strategies. KW - ROS KW - GNSS KW - UWB KW - communication hub KW - UAV swarm Y1 - 2024 UR - https://www.ama-science.org/proceedings/details/4724 SN - 978-3-910600-00-3 U6 - https://doi.org/10.5162/iCCC2024/P16 VL - 2024 SP - 166 EP - 169 PB - AMA ER - TY - GEN A1 - Shahin, Keyvan A1 - Rotta, Randolf A1 - Archila, Oscar A1 - Mykytyn, Pavlo A1 - Nattke, Matthias A1 - Reichenbach, Marc A1 - Nolte, Jörg A1 - Natarov, Roman T1 - A Modular Communication Architecture for Adaptive UAV Swarms T2 - 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS) N2 - Small Unmanned Aerial Vehicles (UAVs) have vast application potential from industrial logistics and disaster monitoring to smart farming, for example, to create maps with Normalized Difference Vegetation Index (NDVI) cameras and AI-based image classification or the precision spot application of fertilizers. Operating multiple UAVs in parallel, including those with different specializations, enables efficient coverage of large areas. While existing research focused mainly on predefined flight formations for swarms or autonomous missions for single UAVs, the focus of this work is on multiple UAVs with individually adaptable missions. We derive communication system requirements from swarm coordination algorithms and present a respective design. The resulting modular architecture enables future research on autonomous adaptive UAV swarms and their use as flying sensor platforms. Y1 - 2023 SN - 979-8-3503-4647-3 SN - 979-8-3503-4648-0 U6 - https://doi.org/10.1109/COINS57856.2023.10189245 PB - IEEE CY - Berlin ER -