Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format.
Principalele funcționalități ale visr/liblas.jl sunt: Procesarea norilor de puncte, Julia Geospatial Libraries.
Alternativele open-source pentru visr/liblas.jl includ: evetion/lasindex.jl — Pure Julia reader of lasindex .lax files. evetion/lazio.jl — Extends LasIO with Laszip integration. pointcloudlibrary/pcl — The Point Cloud Library is a collection of C++ algorithms designed for filtering, registering, and analyzing… cgal/cgal — CGAL is a software library that provides a comprehensive collection of computational geometry algorithms and data… hku-mars/fast_lio — FAST_LIO is a real-time SLAM system and LiDAR-inertial odometry package designed for simultaneous localization and… open-mmlab/mmcv — mmcv is a foundation library for computer vision based on PyTorch. It provides a comprehensive system for constructing…
CGAL is a software library that provides a comprehensive collection of computational geometry algorithms and data structures. It is built around a geometry kernel that defines fundamental geometric primitives and operations, enabling the construction of complex geometric objects and the computation of geometric predicates with exact arithmetic for reliable results. The library covers a wide range of geometric computation capabilities, including the construction of convex hulls, triangulations of point sets, and the generation of Voronoi diagrams. It also supports the processing of polygonal m
FAST_LIO is a real-time SLAM system and LiDAR-inertial odometry package designed for simultaneous localization and mapping. It functions as a state estimation engine and 3D mapping tool that fuses LiDAR point clouds with inertial measurement unit data to provide robust robot state estimation. The system utilizes a tightly-coupled sensor fusion approach with an iterative Kalman filter to estimate position and orientation. It distinguishes itself through direct point-to-plane matching, which calculates odometry by matching raw lidar points to the map surface without manual geometric feature ext
