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visr/LibLAS.jlArchived

0
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3 stars·0 forks·Julia·8 views

LibLAS.jl

Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format.

Features

  • Point Cloud Processing - Wraps libraries for reading and writing point cloud data.
  • Julia Geospatial Libraries - Wraps LibLAS for reading and writing LiDAR data.

Star history

Star history chart for visr/liblas.jlStar history chart for visr/liblas.jl

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to LibLAS.jl

Similar open-source projects, ranked by how many features they share with LibLAS.jl.
  • evetion/lasindex.jlevetion avatar

    evetion/LASindex.jl

    4View on GitHub↗

    Pure Julia reader of lasindex .lax files

    Julia
    View on GitHub↗4
  • evetion/lazio.jlevetion avatar

    evetion/LazIO.jl

    12View on GitHub↗

    Extends LasIO with Laszip integration

    Julia
    View on GitHub↗12
  • cgal/cgalCGAL avatar

    CGAL/cgal

    5,757View on GitHub↗

    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

    C++algorithmsarrangeboolean-operations
    View on GitHub↗5,757
  • hku-mars/fast_liohku-mars avatar

    hku-mars/FAST_LIO

    4,829View on GitHub↗

    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

    C++lidar-odometrylivox-avia-lidar
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See all 30 alternatives to LibLAS.jl→

Frequently asked questions

What does visr/liblas.jl do?

Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format.

What are the main features of visr/liblas.jl?

The main features of visr/liblas.jl are: Point Cloud Processing, Julia Geospatial Libraries.

What are some open-source alternatives to visr/liblas.jl?

Open-source alternatives to visr/liblas.jl include: 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…