

Éric Bavu
Full Professor
My research interests include Deep Learning in acoustics, inverse problems in time domain, and acoustic source localization.
Related
Publications
Deeplomatics: A deep-learning based multimodal approach for aerial drone detection and localization
Protection against illicit drone intrusions is a matter of great concern. The relative stealthy nature of UAVs makes their detection …
Éric Bavu, Hadrien Pujol, Alexandre Garcia, Christophe Langrenne, Sébastien Hengy, Oussama Rassy, Nicolas Thome, Yannis Karmim, Stéphane Schertzer, Alexis Matwyschuk
3D acoustic source localization using Deep Learning : training procedure using a higher order ambisonic spatialization process.
Previous works have proven the relevance of using the Deep Learning approach for acoustic source localization, and in particular the …
H. Pujol, E. Bavu, A. Garcia
Deeplomatics: Acoustic Localization and recognition of drones
The Deeplomatics project aims at developing an anti-drone surveillance system based on the use of Deep Learning techniques using audio …
H. Pujol, E. Bavu, A. Garcia, C. Langrenne, S. Hengy, S. Schertzer, A. Matwyschuk
Talks
Deeplomatics - A deep-learning based multimodal approach for aerial drone detection and localization
Realtime Identification and geolocalization of flying drones.
Jun 27, 2022 4:45 PM
Quiet Drones 2022 E-symposium - Paris
Éric Bavu, Hadrien Pujol, Alexandre Garcia, Christophe Langrenne, Sébastien Hengy, Oussama Rassy, Nicolas Thome, Yannis Karmim, Stéphane Schertzer, Alexis Matwyschuk