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 …
Differentiable registration of images and lidar point clouds with voxelpoint-to-pixel matching
Cross-modality registration between 2D images captured by cameras and 3D point clouds
from LiDARs is a crucial task in computer vision and robotic. Previous methods estimate 2D …
from LiDARs is a crucial task in computer vision and robotic. Previous methods estimate 2D …
A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation
Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …
SE-Calib: Semantic Edge-Based LiDAR–Camera Boresight Online Calibration in Urban Scenes
Rigorous boresight calibration between light detection and ranging (LiDAR) and the camera
is crucial for geometry and optical information fusion in Earth observation and robotic …
is crucial for geometry and optical information fusion in Earth observation and robotic …
Unmanned aerial vehicle remote sensing image registration based on an improved oriented FAST and rotated BRIEF-random sample consensus algorithm
F Zhu, H Li, J Li, B Zhu, S Lei - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) remote sensing image registration is the key step
of remote sensing image stitching, image fusion and multi-frames image super-resolution. Its …
of remote sensing image stitching, image fusion and multi-frames image super-resolution. Its …
FreeReg: Image-to-point cloud registration leveraging pretrained diffusion models and monocular depth estimators
Matching cross-modality features between images and point clouds is a fundamental
problem for image-to-point cloud registration. However, due to the modality difference …
problem for image-to-point cloud registration. However, due to the modality difference …
End-to-end 2d-3d registration between image and lidar point cloud for vehicle localization
Robot localization using a previously built map is essential for a variety of tasks including
highly accurate navigation and mobile manipulation. A popular approach to robot …
highly accurate navigation and mobile manipulation. A popular approach to robot …
Global Localization in Large-scale Point Clouds via Roll-pitch-yaw Invariant Place Recognition and Low-overlap Global Registration
For autonomous ground vehicles, global localization with 3D LiDAR is an indispensable part
of tasks such as navigation. Usually, global localization using LiDAR is subdivided into two …
of tasks such as navigation. Usually, global localization using LiDAR is subdivided into two …
Toward Meta-shape based Multi-view 3D Point Cloud Registration: An Evaluation
Reducing cumulative registration error is critical to accurate 3D multi-view registration. Meta-
shape based methods optimize rigid transformations of point clouds by iteratively registering …
shape based methods optimize rigid transformations of point clouds by iteratively registering …
CFI2P: Coarse-to-Fine Cross-Modal Correspondence Learning for Image-to-Point Cloud Registration
In the context of image-to-point cloud registration, acquiring point-to-pixel correspondences
presents a challenging task since the similarity between individual points and pixels is …
presents a challenging task since the similarity between individual points and pixels is …