In an increasingly digital and spatially connected world, immersive 3D experiences are no longer a luxury—they’re a necessity. Real estate, architecture, construction, tourism, and cultural ...

The agreement with StreamRail, a Chinese leader in rail transit technologies, aims to enhance safety and operational efficiency for urban rail transit systems ...

The integration of AI into geospatial workflows, including machine learning (ML) for Lidar point cloud processing ... georeferenced intelligent 3D digital twin, as well as 2D composite images from the ...

InProceedings{yan2021sparse, title={Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual ... InProceedings{yan20222dpass, title={2DPASS: 2D Priors Assisted Semantic Segmentation ...

LiDAR point cloud semantic segmentation enables the robots to obtain fine-grained semantic information of the surrounding environment. Recently, many works project the point cloud onto the 2D image ...

In order to fuse the color information of 2D image pixels with the spatial position information of the 3D LiDAR point cloud, it is necessary to establish the corresponding relationship between the RGB ...

namely 3D LiDAR point cloud with vertical axis direct projection. This approach utilized the 3D LiDAR cylindrical coordinates features to project the data onto two-dimensional (2D) image space with ...

The primary sensors used in humanoids are cameras and lidar. Radar is not used as much, but potentially it can add additional capability. Today, 2D lidar can detect distance ... even to the point of ...