Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning. - Rachel Blin; Samia Ainouz 001; Stéphane Canu; Fabrice Mériaudeau (ITSC, 2019)

A new multimodal RGB and polarimetric image dataset for road scenes analysis. - Rachel Blin; Samia Ainouz 001; Stéphane Canu; Fabrice Mériaudeau (CVPR Workshops, 2020)

Multimodal Polarimetric And Color Fusion For Road Scene Analysis In Adverse Weather Conditions. - Rachel Blin; Samia Ainouz 001; Stéphane Canu; Fabrice Mériaudeau (ICIP, 2021)

How polarimetry may contribute to deep road scene analysis in adverse weather conditions. (Comment l'imagerie polarimétrique peut contribuer à l'analyse profonde de scènes routières en conditions météorologiques dégradées). - Rachel Blin (2021)

Road Scene Analysis: A Study of Polarimetric and Color-based Features under Various Adverse Weather Conditions. - Rachel Blin; Samia Ainouz 001; Stéphane Canu; Fabrice Mériaudeau (VISIGRAPP (4: VISAPP), 2022)

Physically-admissible polarimetric data augmentation for road-scene analysis. - Cyprien Ruffino; Rachel Blin; Samia Ainouz 001; Gilles Gasso; Romain Hérault; Fabrice Mériaudeau; Stéphane Canu (Comput. Vis. Image Underst., 2022)

The PolarLITIS Dataset: Road Scenes Under Fog. - Rachel Blin; Samia Ainouz 001; Stéphane Canu; Fabrice Mériaudeau (IEEE Trans. Intell. Transp. Syst., 2022)