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By integrating the data of LiDAR and camera, create teacher data sets for monocular camera.

CMake 3.65% C++ 80.11% Python 5.02% Shell 11.09% C 0.14%

sensor_fusion's Introduction

Sensor_Fusion

In this repository, I compiled the source code using ROS for the sensor fusion

Overview

By integrating the data of LiDAR and camera, create teacher data sets for monocular camera.

Requirements

Hardware Spec

  • PC
    • OS : Ubuntu16.04
    • Memory : 8GB
    • CPU : Intel® Core™ i7-7700
    • GPU : GeForce GTX 1050-Ti
  • TX2
  • Robot
    • Sensors
      • SQ-LiDAR(Meiji Univ)
      • ZED(Stereolabs)
      • AMU
    • Vehicle
      • Differetical drive

How to Build

$cd $HOME
$cd catkin_ws/src
$git clone [email protected]:Sadaku1993/sensor_fusion.git
$cd ..
$catkin_make

$cd $HOME
$cd catkin_ws/src
$git clone [email protected]:Sadaku1993/sensor_fusion.git
$cd ..
$catkin_make

Calibration SQ LiDAR and ZED

Watch calibration

Coloring LiDAR PointCloud Using ZED

Watch coloring

DepthImage Using LiDAR Points

Watch depthimage

sensor_fusion's People

Contributors

aoyan27 avatar sadaku1993 avatar

Watchers

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