Abstract: In Autonomous vehicles, LiDAR point cloud data is an important source to identify different obstacles present in the environment. 3D LiDAR point cloud data has high density, outlier noise ...
Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...
Abstract: Point cloud registration in SLAM plays a key role in mapping and localization tasks, which involves finding the transformation between two sets of point clouds. Iterative-based algorithms in ...
Abstract: Today, there is a great need for 3D instance segmentation, which has several uses in robotics and augmented reality. Unlike projective observations like 2D photographs, 3D models offer a ...
Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...
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