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Found 3 papers, 2 papers with code
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
Achieving level-5 driving automation in autonomous vehicles necessitates a robust semantic visual perception system capable of parsing data from different sensors across diverse conditions.
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation
We investigate normal-to-adverse condition model adaptation for semantic segmentation, whereby image-level correspondences are available in the target domain.
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Source-Free Domain Adaptation
on Cityscapes to ACDC
L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras
As neuromorphic technology is maturing, its application to robotics and autonomous vehicle systems has become an area of active research.
