└── README.md


/README.md:
--------------------------------------------------------------------------------
 1 | # Opencv Spatial AI 2021 submission for Autonomous Navigation with the OAKD camera
 2 | Repository summarizing all code repositories used for our submission to the OpenCV Spatial AI 2021 competition
 3 | 
 4 | ## Project name
 5 | Autonomous navigation with RGB-D data for search and rescue operations using a ground robot in confined environments
 6 | 
 7 | ## Team Name
 8 | Guará Wolves FTW (For the Win)
 9 | 
10 | ## Code sources
11 | Our source code is freely available on GitHub. The links to the different code repositories are depicted below:
12 | 
13 | - Docker container with ROS and our integration of the OAK-D: 
14 |     - https://github.com/h3ct0r/docker_oakd_ros
15 | - Our integration of ROS with the OAK-D (our camera driver): 
16 |     - https://github.com/h3ct0r/oakd_pcloud
17 | - Mesh path planner integrated with ROS: 
18 |     - https://github.com/ITVRoC/espeleo_planner
19 | - Mesh reconstruction integrated with ROS: 
20 |     - https://github.com/ITVRoC/espeleo_planner/tree/master/recon_surface
21 | - RTAB-Map OAK-D integration (compatible with the `docker_oakd_ros container`):
22 |     - https://github.com/rafaelfgs/oak_rtabmap
23 | 
24 | ## Video demonstration
25 | A video of the results of this project can be acessed in https://youtu.be/2sJpyIe-XZY
26 | 
27 | ![oakd_github](https://user-images.githubusercontent.com/2656938/128640037-c61afa5f-8fd4-43ab-91f5-d5018e4020f9.gif?v26)
28 | 


--------------------------------------------------------------------------------