3D semantic segmentation is a fundamental task for robotic and autonomous driving
applications. Recent works have been focused on using deep learning techniques, whereas …

Hurricanes are among the most devastating natural disasters in the United States, causing
billions of dollars of property damage and insured losses. During extreme wind events …

3D semantic segmentation is a fundamental task for robotic and autonomous driving
applications. Recent works have been focused on using deep learning techniques, whereas …

Point clouds are generated by light imaging, detection and ranging (LIDAR) scanners or
depth imaging cameras, which capture the geometry from the scanned objects with high …

This study proposes a hybrid feature convolutional neural network (HFCNN) model for the
complete description of three‐dimensional (3D) point cloud features. The HFCNN confers …

Robotics and autonomy continues to be a key research and development focus around the
world. Robots are increasingly prevalent in everyday life. From manufacturing, home …