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Evolutionary multitasking descriptor optimization for point cloud registration
Point cloud registration is an important task for other point cloud tasks. Feature-based
methods are widely adopted for their speed and efficiency in point cloud registration. The …
methods are widely adopted for their speed and efficiency in point cloud registration. The …
HECPG: hyperbolic embedding and confident patch-guided network for point cloud matching
Y ** based on graph-matching
S Yi, Y Lyu, L Hua, Q Pan… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Simultaneous Localization and Map** (SLAM) plays an important role in robot autonomy.
Reliability and efficiency are the two most valued features for applying SLAM in robot …
Reliability and efficiency are the two most valued features for applying SLAM in robot …
Survey of extrinsic calibration on lidar-camera system for intelligent vehicle: Challenges, approaches, and trends
A system with light detection and ranging (LiDAR) and camera (named as LiDAR-camera
system) plays the essential role in intelligent vehicle (IV), for it provides 3D spatial and 2D …
system) plays the essential role in intelligent vehicle (IV), for it provides 3D spatial and 2D …
ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency
Recent advances in point cloud registration mostly leverage geometric information. Although
these methods have yielded promising results, they still struggle with problems of low …
these methods have yielded promising results, they still struggle with problems of low …
Sampling locally, hypothesis globally: accurate 3D point cloud registration with a RANSAC variant
Correspondence-based six-degree-of-freedom (6-DoF) pose estimation remains a
mainstream solution for 3D point cloud registration. However, the heavy outliers pose great …
mainstream solution for 3D point cloud registration. However, the heavy outliers pose great …
Automatic registration of large-scale building point clouds with high outlier rates
R Li, S Gan, X Yuan, R Bi, W Luo, C Chen… - Automation in …, 2024 - Elsevier
Point cloud registration plays a crucial role in processing large-scale building point cloud
data. However, existing registration algorithms face challenges in effectively handling …
data. However, existing registration algorithms face challenges in effectively handling …
Rgbd-glue: General feature combination for robust rgb-d point cloud registration
C Chen, X Jia, Y Zheng, Y Qu - arxiv preprint arxiv:2405.07594, 2024 - arxiv.org
Point cloud registration is a fundamental task for estimating rigid transformations between
point clouds. Previous studies have used geometric information for extracting features …
point clouds. Previous studies have used geometric information for extracting features …