A testing platform for on-drone computation

Wang, Zhou; Nair, Dhruv; Gunawan, Oki; Kessel, Theodore van; Hamann, Hendrik F.

doi:10.1109/iccd.2015.7357188

Cited by 5 publications

(2 citation statements)

References 12 publications

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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%

“…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. In [10] a camera-equipped flight demonstrator with a self-localization and target detection system is presented.…”

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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