Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
This paper presents a comprehensive survey on vision-based robotic grasping. We
conclude three key tasks during vision-based robotic grasping, which are object localization …
conclude three key tasks during vision-based robotic grasping, which are object localization …
Scanning technologies to building information modelling: A review
Building information modelling (BIM) is evolving significantly in the architecture, engineering
and construction industries. BIM involves various remote-sensing tools, procedures and …
and construction industries. BIM involves various remote-sensing tools, procedures and …
Regtr: End-to-end point cloud correspondences with transformers
Despite recent success in incorporating learning into point cloud registration, many works
focus on learning feature descriptors and continue to rely on nearest-neighbor feature …
focus on learning feature descriptors and continue to rely on nearest-neighbor feature …
Rpm-net: Robust point matching using learned features
Abstract Iterative Closest Point (ICP) solves the rigid point cloud registration problem
iteratively in two steps:(1) make hard assignments of spatially closest point …
iteratively in two steps:(1) make hard assignments of spatially closest point …
Robust point cloud registration framework based on deep graph matching
Abstract 3D point cloud registration is a fundamental problem in computer vision and
robotics. Recently, learning-based point cloud registration methods have made great …
robotics. Recently, learning-based point cloud registration methods have made great …
SACF-Net: Skip-attention based correspondence filtering network for point cloud registration
Rigid registration is a transformation estimation problem between two point clouds. The two
point clouds captured may partially overlap owing to different viewpoints and acquisition …
point clouds captured may partially overlap owing to different viewpoints and acquisition …
RORNet: Partial-to-partial registration network with reliable overlapping representations
Three-dimensional point cloud registration is an important field in computer vision. Recently,
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
Omnet: Learning overlapping mask for partial-to-partial point cloud registration
Point cloud registration is a key task in many computational fields. Previous correspondence
matching based methods require the inputs to have distinctive geometric structures to fit a …
matching based methods require the inputs to have distinctive geometric structures to fit a …
Buffer: Balancing accuracy, efficiency, and generalizability in point cloud registration
An ideal point cloud registration framework should have superior accuracy, acceptable
efficiency, and strong generalizability. However, this is highly challenging since existing …
efficiency, and strong generalizability. However, this is highly challenging since existing …
Global-PBNet: A novel point cloud registration for autonomous driving
Registration performs an individual and deciding role in multiple intelligent transport
systems. The advancement of deep-learning-based methods enhances the robustness and …
systems. The advancement of deep-learning-based methods enhances the robustness and …