21 citations · 34 across the 15 of their papers we have counts for
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cs.CV2022
Scribble-Supervised LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Luc Van Gool
Densely annotating LiDAR point clouds remains too expensive and time-consuming to keep up with the ever growing volume of data. While current literature focuses on fully-supervised…
cs.RO2022★ 21 cited
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization
Niclas Vödisch, Ozan Unal, Ke Li +2
Existing learning methods for LiDAR-based applications use 3D points scanned under a pre-determined beam configuration, e.g., the elevation angles of beams are often evenly distrib…