Precision landing for low-maintenance remote operations with UAVs

• Author(s): Moreira, Miguel ; Azevedo, Fábio ; Ferreira, André ; Pedro, Dário ; Matos-Carvalho, João ; Ramos, Álvaro ; Loureiro, Rui ; Campos, Luís
• Date: 2021
• Persistent ID: http://hdl.handle.net/10362/142609
• Origin: Repositório Institucional da UNL
• Project/scholarship: info:eu-repo/grantAgreement/EC/H2020/783221/EU; info:eu-repo/grantAgreement/EC/H2020/783119/EU; info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04111%2F2020/PT; info:eu-repo/grantAgreement/FCT/3599-PPCDT/PCIF%2FSSI%2F0102%2F2017/PT; info:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00325%2F2015%2FCP1275%2FCT0001/PT; info:eu-repo/grantAgreement/EC/H2020/101007273/EU
• Subject(s): Autonomous navigation; Communication; Computer vision; Control; Landing; Pattern recognition; Remote control; RTK; UAV; Control and Systems Engineering; Information Systems; Aerospace Engineering; Computer Science Applications; Artificial Intelligence
• Document Type: Journal article
• Language: English
• Contributor(s): UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias; CTS - Centro de Tecnologia e Sistemas; DEE - Departamento de Engenharia Electrotécnica e de Computadores; RUN

Description

This work proposes a fully integrated ecosystem composed of three main components with a complex goal: to implement an autonomous system with a UAV requiring little to no maintenance and capable of flying autonomously. For this goal, was developed an autonomous UAV, an online platform capable of its management and a landing platform to enclose and charge the UAV after flights. Furthermore, a precision landing algorithm ensures no need for human intervention for long-term operations.