Drona: A Smart Drone Architecture

Siouf, Saif; Jamjoum, Mohammad; AbdelSalam, Emad; Amierh, Zayna; Ibrawish, Enas; Taamneh, Hashem

doi:10.1109/aset53988.2022.9734888

Cited by 2 publications

(2 citation statements)

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“…Additionally, [8] presents a more complex architecture equipped with a Jetson Xavier computer for AI applications validated in multiple real flight scenarios. Finally, a few examples of drone demonstrators equipped with exteroceptive sensors are discussed in [9,10,11,12]. In more detail, the work described in [9] consists of a stereo camera-aided system tested on a ping-pong play scenario.…”

Section: Introductionmentioning

confidence: 99%

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Multisensor Avionics Architecture for BVLOS Drone Services

Giovagnola

Molina

Beneder

et al. 2023

J. Phys.: Conf. Ser.

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This ADACORSA demonstrator focuses on the implementation of a fail-operational 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 AURIX™ 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.

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Section: Introductionmentioning

confidence: 99%

“…The work presented in [12] proposes a search-and-rescue (SAR) drone demonstrator equipped with a RADAR sensor for object detection and GPS for pose estimation. Finally, in [11] sensor fusion with an RGB camera and a thermo camera is performed for object detection.…”

Section: Introductionmentioning

confidence: 99%