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azadlab / SemanticMapping

Building of a 3d semantic map of the industrial environments using multiple sensors mounted on a fork-lift robot (C/C++/ROS/LIDAR/RGBD/PCL/OpenCV)

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computer-visionresearch-paperrobotics-algorithmsmachine-learning

Source Code for the following published work:

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Relevant Publication: Siddiqui, J. R. , Andreasson, H. , Driankov, D. & Lilienthal, A. J. (2016). Towards visual mapping in industrial environments: a heterogeneous task-specific and saliency driven approach. IEEE International Conference on Robotics and Automation (ICRA). , Stockholm, Sweden, May, 2016.

semantic mapping

Dependencies:

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  • ROS (Robot Operating System)
  • OpenCV
  • OpenCL
  • OpenGL
  • GLUT

3rd Party Libraries:

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  • egbs
  • meanshift
  • dlib

About

Building of a 3d semantic map of the industrial environments using multiple sensors mounted on a fork-lift robot (C/C++/ROS/LIDAR/RGBD/PCL/OpenCV)

computer-visionresearch-paperrobotics-algorithmsmachine-learning

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Language:C++ 89.9%Language:Python 5.4%Language:CMake 2.7%Language:C 1.8%Language:Makefile 0.2%