Optimizing Sparse Convolution on GPUs with CUDA for 3D Point Cloud Processing in Embedded Systems

arXiv:2402.07710v2 Announce Type: replace
Abstract: In recent years, there has been a significant increase in the utilization of deep learning methods, particularly convolutional neural networks (CNNs), which have emerged as the dominant approach in various domains that involve structured grid data, such as picture analysis and processing. Nevertheless, the exponential growth in the utilization of LiDAR and 3D sensors across many domains has resulted in an increased need for the analysis of 3D point clouds. The utilization of 3D point …

abstract analysis arxiv cloud cnns convolution convolutional neural networks cs.cv cs.lg cuda data deep learning domains embedded gpus grid networks neural networks processing systems type