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Multisource LiDAR Segmentation for Driving by akshayexodusedu is a document available to read on EtoBox.
What is Multisource LiDAR Segmentation for Driving about?
The document presents COLA, a novel multisource training approach for LiDAR semantic segmentation (LSS) aimed at improving performance in autonomous driving applications. It introduces coarse labels to facilitate the use of diverse datasets, addressing challenges like domain shifts and label disparities. The study demonstrates significant improvements in domain generalization, source-to-source segmentation, and pretraining tasks compared to traditional single-source methods.
- Author
- akshayexodusedu
- Language
- EN