MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
Published in European Conference on Computer Vision (ECCV), 2024
MUSES is a comprehensive multi-sensor dataset designed for semantic scene understanding in autonomous driving, with extensive coverage of adverse weather conditions and different sensors.
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Recommended citation: Tim Broedermann, David Bruggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, and Luc Van Gool. (2024). "MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty." ECCV.
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