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Tags: Hardware and IoT
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1–24 of 35 · Most stars

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

  • lidar-odometry
  • lidar-slam
  • loam-velodyne
  • lidar-inertial

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

  • velodyne
  • ros
  • loam-velodyne
  • lidar

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

  • catkin
  • velodyne-sensor
  • segmentation
  • clustering

A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

  • sensor-fusion
  • slam
  • mapping
  • icra2019

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

  • rangenet-lib
  • suma
  • lidar
  • slam

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

  • 3d-lidar
  • loop-closure-detection
  • slam
  • lidar

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

  • ros-kinetic
  • camera-calibration
  • lidar-camera-calibration
  • point-cloud

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.