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Daniel Alexander Meißner

1 accepted papers

2024

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions

RA-L 2024

Adverse weather conditions can severely affect the performance of LiDAR sensors by introducing unwanted noise in the measurements. Therefore, differentiating between noise and valid points is crucial for the reliable use of these sensors. Current approaches for detecting adverse weather points requi

Cited by 6SourceScholar