Skip to content
#

lidar-camera-calibration

Here are 33 public repositories matching this topic...

The Light Imaging Detection and Ranging (LIDAR) is a method for measuring distances (ranging) by illuminating the target with laser light and measuring the reflection with a sensor. The LIDAR Sensor escalates the entire mechanism with great efficiency which is notified with process and main activation codes.

  • Updated Sep 16, 2020
  • C++

This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed…

  • Updated Sep 6, 2021
  • MATLAB

This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed…

  • Updated Sep 6, 2021
  • MATLAB

VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.

  • Updated Sep 29, 2021
  • C++

Improve this page

Add a description, image, and links to the lidar-camera-calibration topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the lidar-camera-calibration topic, visit your repo's landing page and select "manage topics."

Learn more