Lauffenburger Jean-Philippe

Professeur • HDR

Département & Équipe

Automatique, Signal et Image MIAM

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+33.3.89.33.69.26

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Fusion de données et multimodale
Perception de l'environnement structuré et non-structuré
Robotique mobile et véhicules intelligents

Conflict Management in a Distance to Prototype-Based Evidential Deep Learning (2024) Communication

Mihreteab Negash Geletu, Dănuţ-Vasile Giurgi, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger, Jean Dezert

8th International Conference on Belief Functions
Overtaking on Two-Lane Two-way Rural Roads : A Personalized and Reactive Approach for Automated Vehicle (2024) Article

Benoit Vigne, Rodolfo Orjuela, Jean-Philippe Lauffenburger, Michel Basset

Transportation research. Part C, Emerging technologies
Evidential Deep Learning For Sensor Fusion (2024) Communication

Mihreteab Negash Geletu, Jean-Philippe Lauffenburger, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari

2024 27th International Conference on Information Fusion (FUSION)
Evidential Deep Learning For Sensor Fusion (2024) Communication

Mihreteab Negash Geletu, Jean-Philippe Lauffenburger, Thomas Josso-Laurain, Maxime Devanne, Mengesha Mamo Wogari

2024 27th International Conference on Information Fusion (FUSION)
Fusion of Semantic Segmentation Models for Vehicle Perception Tasks (2024) Communication

Danut-Vasile Giurgi, Jean Dezert, Thomas Josso-Laurain, Maxime Devanne, Jean-Philippe Lauffenburger

Fusion 2024

Jean-Philippe Lauffenburger