PolaBot (2019)

Data creators : Ralph Seulin [1], Raphael Duverne [1], Marc Blanchon [1], Olivier Morel [1]
Related person : Désiré Sidibé [2], Fabrice Mériaudeau [1]
[1] : Imagerie et Vision Artificielle (UR 7535) (Université de Bourgogne)
[2] : Université d'Évry-Val-d'Essonne
Description :
PolaBot is a dataset dedicated to the polarimetric imaging of outdoor scenes.
Outdoor scenes include challenging surfaces to segment and detect : highly reflective areas such as water and windows.
This dataset is designed for research and development fields such as mobile robotics, autonomous cars and navigation, ...
In addition, this collection of information will allow a strong and efficient benchmark, giving the opportunity to compare standard modality to the polarimetry for the exact same scenes and application.
Disciplines :
computer science, software engineering (engineering science), imaging science & photographic technology (engineering science), robotics (engineering science), transportation science & technology (engineering science)

General metadata

Data acquisition date : from 2018 to 2019
Data acquisition methods :
Update periodicity : no update
Language : French (fra)
Formats : image/png, text/plain
Audience : Research
Publications :
  • M. Blanchon, D. Sidibé, O. Morel, R. Seulin, D. Braun and F. Meriaudeau, "P2D: a self-supervised method for depth estimation from polarimetry," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 7357-7364 (doi:10.1109/ICPR48806.2021.9412441)
  • M. Blanchon, O. Morel, F. Meriaudeau, R. Seulin and D. Sidibé, "Polarimetric image augmentation," 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 7365-7371 (doi:10.1109/ICPR48806.2021.9412133)
  • M. Blanchon, “Polarization based urban scenes understanding” (manuscrit de thèse), 2021 (hal:tel-03469970v1)
Collection :
Projects and funders :
Additional information :
Each acquisition consists of three images: the RGB color image, the raw image from the polarimetric camera and the annotated image.
Data collected as part of the thesis in instrumentation and computer vision by Marc Blanchon, co-supervised by Fabrice Mériaudeau (professor) and Olivier Morel (associated professor), ImViA, university of Burgundy, and Désiré Sidibé (professor) university of Evry.
Record created 13 May 2022 by Cyrille Migniot.
Local identifier: FR-18008901306731-2022-05-13-02.


dat@uB is a sub-portal of dat@UBFC, a metadata catalogue for research data produced at UBFC.

Terms of use
Université de Bourgogne, Université de Franche-Comté, UTBM, AgroSup Dijon, ENSMM, BSB, Arts des Metiers