Article (Scientific journals)
High-Level Modular Autopilot Solution for Fast Prototyping of Unmanned Aerial Systems
Rodriguez de Cos, Carlos; Fernandez, Manuel Jesus; Sanchez Cuevas, Pedro Jesus et al.
2020In IEEE Access
Peer reviewed
 

Files


Full Text
09291382.pdf
Publisher postprint (2.52 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] A redundant fast prototyping autopilot solution for unmanned aerial systems has been developed and successfully tested outdoors. While its low-level backbone is executed in a Raspberry Pi R 3 + NAVIO2 R with a backup autopilot, the computational power of an Intel R NUC mini-computer is employed to implement complex functionalities directly in Simulink R , thus including in-flight debugging, tuning and monitoring. Altogether, the presented tool provides a flexible and user-friendly high-level environment with enhanced computational capabilities, which drastically reduces the prototyping timespans of complex algorithms -between 50% and 75%, according to our long and proven experience in aerial robotics-, while preventing incidents thanks to its redundant design with a human-in-the-loop pilot on the reliable PX4. Three typical outdoor cases are carried out for validation in real-life scenarios, all mounted in a DJI © F550 platform. Full integration results and telemetry for more than 50 hours of outdoor flight tests are provided.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Rodriguez de Cos, Carlos
Fernandez, Manuel Jesus
Sanchez Cuevas, Pedro Jesus ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
Acosta, Jose Angel
Ollero, Anibal
External co-authors :
yes
Language :
English
Title :
High-Level Modular Autopilot Solution for Fast Prototyping of Unmanned Aerial Systems
Publication date :
11 December 2020
Journal title :
IEEE Access
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 18 June 2021

Statistics


Number of views
58 (2 by Unilu)
Number of downloads
35 (1 by Unilu)

Scopus citations®
 
1
Scopus citations®
without self-citations
1
WoS citations
 
1

Bibliography


Similar publications



Contact ORBilu