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lidar-camera-calibration

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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

A Jupyter notebook that demonstrates a Python™ implementation of NASA's Airborne Topographic Mapper (ATM) centroid tracker and compares it with results from the equivalent MATLAB® function.

  • Updated Feb 18, 2024
  • Jupyter Notebook

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 is a fiducial marker system designed for LiDAR sensors. Different visual fiducial marker systems (Apriltag, ArUco, CCTag, etc.) can be easily embedded. The usage is as convenient as that of the visual fiducial marker. The system shows potential in SLAM, multi-sensor calibration, augmented reality, and so on.

  • Updated Dec 14, 2023
  • C

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