This paper presents a new method for urban scene analysis, which comprises 3D point
cloud registration and change detection through fusing Lidar point clouds with significantly …

To improve the efficiency and accuracy of plane segmentation for indoor point clouds, this
paper proposes a fast and precise plane segmentation framework which mainly consists of …

As the automotive industry evolves, visual perception systems to provide awareness of
surroundings to autonomous vehicles have become vital. Conventional deep neural …

Novel LiDAR-detectable black double-shell hollow nanoparticles (BDS-HNPs) with internal
white shell are successfully utilized as materials for autonomous vehicle paint for the first …

Convolutional neural networks have become a powerful tool for partial 3D object detection.
However, their power has not been fully realized for focusing on global information, which is …

In this paper, we propose a novel, vision-transformer-based end-to-end pose estimation
method, LidPose, for real-time human skeleton estimation in non-repetitive circular scanning …

Camera-based object tracking systems in a given closed environment lack privacy and
confidentiality. In this study, light detection and ranging (LiDAR) was applied to track objects …

Este artículo presenta técnicas alternativas de localización y mapeo simultáneo del
ambiente, que permiten a los robots móviles auto referenciarse en un ambiente de …

The frame rates of most 3D LIDAR sensors used in intelligent vehicles are substantially
lower than current cameras installed in the same vehicle. This research suggests using a …

Semantic segmentation is a basic and long-standing research area. Depth images can
enrich RGB (red-green-blue) images with their rich geometric information, so as to achieve …