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Lidar-based place recognition for autonomous driving: A survey
LiDAR has gained popularity in autonomous driving due to advantages like long
measurement distance, rich three-dimensional information, and stability in harsh …
measurement distance, rich three-dimensional information, and stability in harsh …
A review of non-rigid transformations and learning-based 3D point cloud registration methods
Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …
more sets of points in space is determined. Point clouds are found in multiple applications …
3D registration with maximal cliques
As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to
seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registration …
seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registration …
Geometric transformer for fast and robust point cloud registration
We study the problem of extracting accurate correspondences for point cloud registration.
Recent keypoint-free methods bypass the detection of repeatable keypoints which is difficult …
Recent keypoint-free methods bypass the detection of repeatable keypoints which is difficult …
Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds
We study the problem of efficient object detection of 3D LiDAR point clouds. To reduce the
memory and computational cost, existing point-based pipelines usually adopt task-agnostic …
memory and computational cost, existing point-based pipelines usually adopt task-agnostic …
Rotation-invariant transformer for point cloud matching
The intrinsic rotation invariance lies at the core of matching point clouds with handcrafted
descriptors. However, it is widely despised by recent deep matchers that obtain the rotation …
descriptors. However, it is widely despised by recent deep matchers that obtain the rotation …
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 …
Geotransformer: Fast and robust point cloud registration with geometric transformer
We study the problem of extracting accurate correspondences for point cloud registration.
Recent keypoint-free methods have shown great potential through bypassing the detection …
Recent keypoint-free methods have shown great potential through bypassing the detection …
Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration
We study the problem of extracting correspondences between a pair of point clouds for
registration. For correspondence retrieval, existing works benefit from matching sparse …
registration. For correspondence retrieval, existing works benefit from matching sparse …
Sc2-pcr: A second order spatial compatibility for efficient and robust point cloud registration
In this paper, we present a second order spatial compatibility (SC^ 2) measure based
method for efficient and robust point cloud registration (PCR), called SC^ 2-PCR. Firstly, we …
method for efficient and robust point cloud registration (PCR), called SC^ 2-PCR. Firstly, we …