@misc{10481/85253,
year = {2023},
url = {https://hdl.handle.net/10481/85253},
abstract = {This ADACORSA demonstrator focuses on the implementation of a failoperational
avionics architecture combining Commercial Off-The-Shelf (COTS) elements from
the automotive, the aerospace and the artificial intelligence world. A collaborative sensor
setup (Time-of-Flight camera and FMCW RADAR from Infineon Technologies, stereo camera,
LiDAR, IMU and GPS) allows to test heterogeneous sensor fusion solutions. A Tricore
Architecture on AURIXTM Microcontroller supports the execution of safety supervision tasks as
well as data fusion. A powerful embedded computer platform (NVIDIA Jetson Nano) accelerates
AI algorithms performance and data processing. Furthermore, an FPGA enables power
optimization of Artificial Neural Networks. Finally, a Pixhawk open-source flight controller
ensures stabilization during normal flight operation and provides computer vision software
modules allowing further processing of the captured, filtered and optimized environmental data.
This paper shows various hardware and software implementations highlighting their emerging
application within BVLOS drone services.},
organization = {EU-funded project ADACORSA},
organization = {ECSEL Joint Undertaking (JU) under grant agreement No 876019},
organization = {European Union’s Horizon 2020},
organization = {German Federal Ministry of Education and Research},
publisher = {IOPScience},
title = {Multisensor Avionics Architecture for BVLOS Drone Services},
doi = {10.1088/1742-6596/2526/1/012084},
author = {Giovagnola, Jessica and Molina Fernández, Miguel and Morales Santos, Diego Pedro and Morales Santos, Diego Pedro},
}