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AutoBehave project (2019-2023), coordinated by Carlos Crispim, is a partnership among LAET, LESCOT, LBMC, and LIRIS laboratories. Its goal is to investigate the behaviors of passengers of autonomous vehicles during daily trajects using a multi-sensor approach. This project is funded by the grant "Pack Ambition Recherche 2019" from the region Rhône Alpes in France. |
| Keywords: | driver posture analysis, cognitive state analysis, value of time, autonomous vehicles |
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Contact details: |
Carlos Crispim-Junior
Université Lumière - Lyon 2 Bât C - Bureau C121 5 avenue Pierre Mendès-France 69676 Bron cedex |
Consortium
| Name | Affiliation | Role |
|---|---|---|
| Carlos CRISPIM-JUNIOR | LIRIS / Université Lyon 2 | Principal investigator |
| Laure TOUGNE-RODET | LIRIS / Université Lyon 2 | Researcher |
| Romain GUESDON | LIRIS / Université Lyon 2 | PhD student |
| Xuguang WANG | LBMC / Université Gustave-Eiffel | Researcher |
| Georges BEURIER | LBMC / Université Gustave-Eiffel | Researcher |
| Christophe JALLAIS | LESCOT / Université Gustave-Eiffel | Researcher |
| Fabien Vincent | LESCOT / Université Gustave-Eiffel | Engineer |
| Stephanie SOUCHE-LE CORVEC | LAET / Université Lyon 2 | Researcher |
| Florent LAROCHE | LAET / Université Lyon 2 | Researcher |
Publications
Datasets and source-code
| Dataset | Link |
|---|---|
DRIPE - Human pose estimation benchmark
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Synthetic Driver Image Generation for Human Pose-Related Tasks
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