Marcus-D-Forte

Marcus-D-Forte's Stars

• PRBonn/kiss-icp

  A LiDAR odometry pipeline that just works

  Language:C++1.5k312

• sedoski20/BNO055_driver

  Bosch Sensortec BNO055 sensor driver. To report issues, go to https://community.bosch-sensortec.com/t5/Bosch-Sensortec-Community/ct-p/bst_community

  11

• PointCloudLibrary/pcl

  Point Cloud Library (PCL)

  Language:C++9.9k4.6k

• Marcus-Forte/moptimizer_0

  Duna algorithmic optimization libraries for SLAM and LiDAR applications

  Language:C++5

• Duna-System/livox_ros2_driver

  Livox device driver under Ros2

  Language:C++1514

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML11.9k799

• hku-mars/FAST_LIO

  A computationally efficient and robust LiDAR-inertial odometry (LIO) package

  Language:C++2.6k891

• gaoxiang12/faster-lio

  Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

  Language:C++1.1k263

• LongruiDong/SLAMpaperLib

  collection of papers in slam...

  248

• CloudCompare/CloudCompare

  CloudCompare main repository

  Language:C++3.5k1k

• TixiaoShan/LIO-SAM

  LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

  Language:C++3.4k1.2k

• preethamam/PCL-FeatureBased-PointCloudRegistration

  A computer program on PCL framework to register two point clouds using the feature-based keypoints (SIFT, SHOT, FPFH, etc.), local/global feature descriptors, followed by various correspondence estimation and rejection methods. Below summarizes the available keypoints, descriptors, correspondence estimation and rejection methods that works in different combinations.

  Language:C++588

• easyw/kicadStepUpMod

  kicadStepUp: ECAD to MCAD FreeCAD WorkBench

  Language:Python48361