└── 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 | --------------------------------------------------------------------------------