IEEE

Self-Supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration

Abstract: This paper introduces a novel self-supervised learning framework for enhancing 3D perception in autonomous driving scenes. Specifically, our approach, namely NCLR, focuses on 2D-3D neural ...
IEEE

Point Cloud Classification by Integrating Attention Mechanism with Sparse Convolutional

Abstract: Point cloud data is one of the essential data sources for 3D reconstruction, and a major challenge in 3D reconstruction based on point clouds lies in the fine-grained classification of ...