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DroneSE/RAPIDO@HiPEAC 2022: Budapest, Hungary

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DroneSE and RAPIDO '22: System Engineering for constrained embedded systems, Budapest Hungary, January 17 - 19, 2022. ACM 2022, ISBN 978-1-4503-9566-3
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Ali Safa, Ilja Ocket, Francky Catthoor, Georges G. E. Gielen:
Exploring Cross-fusion and Curriculum Learning for Multi-modal Human Detection on Drones. 1-7
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Julien Dupeyroux, Raoul Dinaux, Nikhil Wessendorp, Guido de Croon:
A Novel Obstacle Detection and Avoidance Dataset for Drones. 8-13
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Federico Corradi, Francesco Fioranelli:
Radar Perception for Autonomous Unmanned Aerial Vehicles: a Survey. 14-20
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Ozan Çatal, Tim Verbelen, Ni Wang, Matthias Hartmann, Bart Dhoedt:
Bio-inspired monocular drone SLAM. 21-26
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Tahina Ralitera, Önder Gürcan:
On Using Blockchains for Beyond Visual Line of Sight (BVLOS) Drones Operation: An Architectural Study. 27-32
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Ondrej Severa, Zdenek Boucek, Petr Neduchal, Lukás Bláha, Tomás Myslivec, Miroslav Flídr:
Droneport: From Concept To Simulation. 33-38
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Marcelo Ruaro, Kevin J. M. Martin:
ManyGUI: A Graphical Tool to Accelerate Many-core Debugging Through Communication, Memory, and Energy Profiling. 39-46
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Fatma Jebali, Oumaima Matoussi, Arief Wicaksana, Amir Charif, Lilia Zaourar:
Decoupling processor and memory hierarchy simulators for efficient design space exploration. 47-52
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Carlos Escuin, Asif Ali Khan, Pablo Ibáñez, Teresa Monreal, Víctor Viñals, Jerónimo Castrillón:
HyCSim: A rapid design space exploration tool for emerging hybrid last-level caches. 53-58

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