Research papers · 2024.11.21

MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty

Overview

MUSES provides synchronized driving sensors and panoptic annotations under adverse conditions. Its annotation process captures class- and instance-level uncertainty, enabling uncertainty-aware segmentation alongside conventional semantic and panoptic perception benchmarks.

Author-supplied source information

Author-supplied information on arXiv.

Proceedings of the European Conference on Computer Vision (ECCV), 2024

Dataset available at http://muses.vision.ee.ethz.ch

Version: arXiv v4 — manuscript revision

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