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A Real-time Autonomous Crack Inspection System on UAV

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ACIS

A Real-time Autonomous Crack Inspection System on UAV

A crack inspection system on UAV accurately computes the cracks' positions only relied on a RGB-D camera.

ACIS_DEMO

Publications

Tse, K.-W.; Pi, R.; Sun, Y.; Wen, C.-Y.; Feng, Y. A Novel Real-Time Autonomous Crack Inspection System Based on Unmanned Aerial Vehicles. Sensors 2023, 23, 3418.

Requirements

Build instructions on Linux

  1. clone repository into working space
cd ~/catkin_ws/src
clone this repository to ~/catkin_ws/src folder 
  1. Install 3rd Party library
cd ~/catkin_ws/src/ACIS/3rdPartLib/
./install3rdPartLib.sh
  1. Compile
cd ~/catkin_ws
catkin_make

How to use (to detect cracks in our experiment)

  1. Download the config, weight and obj.names files from Here
  2. Change the path of these lines:
static string cfg_path
static string weight_path
static string classid_path
  1. Compile and launch camera node for crack detection:
cd ~/catkin_ws
rosrun ACIS camera
  1. To visualize 2-D bounding boxes, uncomment the line drawBoundingBox
yolo.drawBoundingBox(image_rgb);
  1. To visualize the estimate of object position in inertial frame, launch rviz node:
cd ~/catkin_ws
roslaunch ACIS rviz.launch
  1. To improve the detection speed or accuracy, change the default input size yoloNet
static yoloNet yolo = yoloNet(cfg_path, weight_path, classid_path, 608, 608, 0.5);

How to use (to inspect objects in our experiment)

  1. Connect the quadrotor with flight controller and launch mavros
roslaunch mavros px4.launch 
  1. Launch the D455i camera by realsense-ros
roslaunch realsense2_camera rs_camera.launch align_depth:=true
  1. Launch the camera node and fj005 node:
cd ~/catkin_ws
roslaunch ACIS fj005.launch
  1. To visualize the detected object and flight trajectory in inertial frame, launch rviz node:
cd ~/catkin_ws
roslaunch ACIS rviz.launch

Maintainer

Kwai-wa Tse (Dept.AAE,PolyU): kwai-wa.tse@connect.polyu.hk

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A Real-time Autonomous Crack Inspection System on UAV

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