RT Book, Section
T1 Distributed Thermal Identification and Exploitation for Multiple Soaring UAVs
A1 Cobano-Suárez, José-Antonio
A1 Alejo Teissière, David
A1 Vera, Santiago
A1 Heredia, Guillermo
A1 Sukkarieh, Salah
A1 Ollero, Aníbal
K1 UAVs
K1 Soaring
K1 Cooperative missions
AB This chapter discusses the problem of cooperatively sensing the wind map of an area in order to efficiently harvest the wind energy with fixed-wing gliding UAVs, known as soaring. Moreover, a cooperative system with multiple gliding fixed-wing UAVs is presented for long endurance missions. This system is composed by three main blocks that include thermal detector, path planning, and collision avoidance. The main advantage is its low computational load, making it suitable for real-time applications. Extensive simulation results in several scenarios are given to test the complete system. In addition, real experiments have been carried out with realgliding aircrafts of the Robotics Vision and Control Group (GRVC) of the University of Sevilla in the Airfield of La Cartuja (Sevilla). The results of these experiments show the convenience of the proposed method.
PB Springer
YR 2014
FD 2014-11-07
LK https://hdl.handle.net/10433/22976
UL https://hdl.handle.net/10433/22976
LA en
NO Human Behavior Understanding in Networked Sensing. Chapter 17, pp. 359-378 (2014)
NO This work was supported by the European Commission FP7 ICT Programme under the International Research Exchange Network “Multi-UAV Cooperation for long endurance applications” (SI-0971/2012) and the CLEAR Project (DPI2011-28937-C02-01) funded by the Ministerio de Ciencia e Innovacion of the Spanish Government.
NO Deporte e Informática
DS RIO
RD Apr 23, 2026