Camera-Lidar-Fusion-ROS

Introduction

There are 5 ros package:

• kitti_player : publish KITTI data.
• pcl_deal : contain /PointCloudDeal and /ROIviewer. Objects are detected by simple height threshold.
• opencv_deal : 3D box to 2D. 3D-2Dbox overlap is simply solved by IoU and several rules. (The origin idea is to detection on /ROIpicture, but the result is not very good. /ROI2D is results of the 3D-2Dbox.)
• darknet_ros_old : Yolov3 detection node. It is a old version of eggedrobotics/darknet_ros. Thanks to their job.
• depthGet : fuse 3D-2Dbox and 2D-YOLObox in picture Coordinate by simple IoU.

The ROS node graph is as below.

Result

The light blue box is result of Lidar. The light red box is result of YOLO. The dark red box is result of fusion.

How to run

Requirement

ROS；OpenCV；PCL

Prepare

• Download KITTI dataset into kitti_player/. You can get from Baidu Wangpan password: w4qk.
• Download the Yolo weight into darknet_ros_old/darknet_ros/yolo_network_config/weights/. Please do as eggedrobotics/darknet_ros. Or you can also get YOLOv3 weights from Baidu Wangpan password: w4qk.

Build

Check the data path and ros topic name (if you use your own dataset).

Finally, catkin_make.

Run

• Punlish kitti data

  roslaunch kitti_player kittiplayer_standalone.launch
  

  

• Point cloud detection

  rosrun pcl_deal pointdeal 
  

  Three monitoring method are provided.

  • You can use rosrun pcl_de pclvis to see point cloud in PCL.

    

  • You can use rviz to subscribe /ROIpoint topic in order to see the 2D grid results.

    

  • You can use rosrun pcl_de ROIviewer to monitor the point cloud detection result.

    

• 3D boxes to 2D

  rosrun opencv_deal showROI
  

• YOLOv3

  roslaunch darknet_ros_old yolo_v3.launch
  

  

• Finally, fuse category and location

  rosrun depthG depthget
  

  Then, have fun ! You can see the result through /depthMap topic.

Note

It's a part of my undergraduate thesis. There are likely many spelling mistake and redundant code. And the codes are ugly. But I will be happy if this repo can help you. Please feel free to open an issue if you have any questions.