In recent years, deep learning techniques for processing 3D point cloud data have seen
significant advancements, given their unique ability to extract relevant features and handle …

Abstract 3D target detection is a research hotspot in recent years. In the field of autonomous
driving, 3D target detection is mainly targeted at outdoor scenes that the camera height is …

Tracking the 6-degree-of-freedom (6D) object pose in video sequences is gaining attention
because it has a wide application in multimedia and robotic manipulation. However, current …

Estimating the 6DOF pose of objects is an important function in many applications, such as
robot manipulation or augmented reality. However, accurate and fast pose estimation from …

Abstract 6D pose estimation has garnered significant attention and research. RGB images
and point clouds converted from RGB-D images provide complementary color and geometry …

In this study, we proposed a practical scheme for the challenging robotic cable insertion
task. In general, the applied architecture is based on two YOLOs, vision-based pose …

Current state-of-the-art pose estimation methods are almost launched on segmented RGB-D
images. However, these methods may not apply to more general industrial parts due to a …

6D pose estimation with individual modality encounters difficulties due to the limitations of
modalities, such as RGB information on textureless objects and depth on reflective objects …

For point cloud registration (PCR), a matching matrix is critical. Unfortunately, the existing
approaches do not explicitly devise schemes to refine the matching matrix. Furthermore …