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MUAD: Multiple Uncertainties for Autonomous Driving

MUAD: A synthetic dataset for autonomous driving with multiple uncertainties and annotations for semantic segmentation, depth estimation, object detection, and instance segmentation.

Data and Resources

Cite this as

Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Angel Tena, Remi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat (2024). Dataset: MUAD: Multiple Uncertainties for Autonomous Driving. https://doi.org/10.57702/t3389izm

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Author Gianni Franchi
More Authors
Xuanlong Yu
Andrei Bursuc
Angel Tena
Remi Kazmierczak
Séverine Dubuisson
Emanuel Aldea
David Filliat
Homepage https://muad-dataset.github.io/