TY - GEN
T1 - Coastal Management Through Safe Event-Triggered Predictive Control for UAVs
AU - Aspragkathos, Sotirios N.
AU - Rousseas, Panagiotis
AU - Karras, George C.
AU - Rizou, Stamatia
AU - Kyriakopoulos, Kostas J.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - This paper presents an end-to-end framework, implementing coastal management through an efficient and safe strategy utilizing Unmanned Aerial Vehicles (UAVs). The proposed scheme (This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101180146) exploits an image-based analytical model as a target descriptor and combines it with Event-Triggered Nonlinear Model Predictive Control and Barrier Functions for safe, efficient, and accurate surveillance. Real-time simulations and experiments deploying an autonomous quadrotor UAV with a camera demonstrate the effectiveness of the proposed control method.
AB - This paper presents an end-to-end framework, implementing coastal management through an efficient and safe strategy utilizing Unmanned Aerial Vehicles (UAVs). The proposed scheme (This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101180146) exploits an image-based analytical model as a target descriptor and combines it with Event-Triggered Nonlinear Model Predictive Control and Barrier Functions for safe, efficient, and accurate surveillance. Real-time simulations and experiments deploying an autonomous quadrotor UAV with a camera demonstrate the effectiveness of the proposed control method.
KW - Autono-mous decision making and planning
KW - Autonomous navigation
KW - Sensor integration and perception
UR - http://www.scopus.com/inward/record.url?scp=105006542813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105006542813&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-89471-8_2
DO - 10.1007/978-3-031-89471-8_2
M3 - Conference contribution
AN - SCOPUS:105006542813
SN - 9783031894701
T3 - Springer Proceedings in Advanced Robotics
SP - 10
EP - 15
BT - European Robotics Forum 2025 - Boosting the Synergies between Robotics and AI for a Stronger Europe
A2 - Huber, Marco
A2 - Verl, Alexander
A2 - Kraus, Werner
PB - Springer Nature
T2 - 16th European Robotics Forum, ERF 2025
Y2 - 25 March 2025 through 27 March 2025
ER -