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ROS package for obstacle segmentation in a point cloud scene

CMake 14.82% C++ 85.18%
ros ros-kinetic obstacle-detection obstacle-segmentation segmentation cpp kinect-v2 kinectv2 kinect rgb-d-data

obstacle_processor's Introduction

Obstacle_processor

ROS package for obstacle segmentation in a point cloud scene.

Installation

  • Before you install the package, you have to configure your RGB-D sensor and calibrate it. You can also run this package offline i.e. streaming point cloud ROS topic from .bag file.
  • Clone the repository inside src/ directory of your catkin workspace
mkdir obstacle_processor
cd obstacle_processor/
git clone name_of_repository
  • Run CMake to compile source code
catkin_make
  • Source your workspace
source catkin_ws/devel/setup.bash
  • Setup your robot platform on a ground and remove the all objects in front of it for calibration purposes and run calibration node
roslaunch obstacle_processor calibration.launch
  • Now you can run obstacle_processor detection algorithm by either of 5 launch commands (two last commands launch obstacle_processor_node along with kinect2_bridge package from iai_kinect2 package, but can be replaced for whatever bridge package compatible with your RGB-D sensor that produces point cloud ROS topic)
roslaunch obstacle_processor obstacle_processor.launch

or

roslaunch obstacle_processor obstacle_processor_rviz.launch

or

roslaunch obstacle_processor obstacle_processor_rviz_debug.launch

or

roslaunch obstacle_processor obstacle_processor_launch_all.launch

or

roslaunch obstacle_processor obstacle_processor_launch_all_rviz.launch

References

The project was done as a part of research during bachelor thesis

License

MIT

Citation

If you use the repo in personal project or research, please cite it as follows:

RYBIN, A. Detekce překážek za použití kamerového 3D skeneru. Brno: Vysoké učení technické v Brně, Fakulta strojního inženýrství, 2018.

Copyright © 2017 Andrei Rybin

obstacle_processor's People

Contributors

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obstacle_processor's Issues

Program stuck after gdb run

I am using Intel RealSense to get point clouds instead of LiDAR. I changed the topic that the node's subscriber subscribes to RealSense's point cloud topic. After I launch the package and typing 'run' into the gdb terminal, I get the following warning "couldn't register subscriber on topic[/]". Nothing happens after that.

Could you let me know what could be the issue?

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