The paper explores the optimization of sparse convolution for 3D point cloud analysis on Graphics Processing Units (GPUs) using CUDA technology. With the increasing use of LiDAR and 3D sensors,…
Continue readingThe article talks about the use of terrestrial laser scanners, particularly LiDAR sensors, in ecological data acquisition. These scanners have been used to reconstruct the 3D structure of vegetation and…
Continue readingThe article presents LIP-Loc, a new method for cross-modal localization in autonomous driving applications. The approach involves using a batch of image and LiDAR data pairs to predict the correct…
Continue readingThe study introduces LabelFormer, an efficient and effective approach for refining object trajectory in offboard perception models using LiDAR point clouds. This technology is a promising alternative to human annotations,…
Continue readingThe research introduces a novel LiDAR perception task of Occupancy Completion and Forecasting (OCF) in the field of autonomous driving. This task merges scene completion and forecasting into a unified…
Continue readingThe paper presents DistillBEV, a strategy to boost multi-camera bird’s-eye-view (BEV) based 3D object detection in the context of autonomous driving. The authors observe a performance gap between multi-camera BEV…
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