The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
Project structure:
├───docker-env/
├───obstacle-detection/
│ ├───dataset/
│ │ └───sequences/
│ │ └───00/
│ │ ├───clusters/
│ │ ├───labels/
│ │ └───velodyne/
| ├───model/
| |
│ ├───examples/
│ │
│ ├───pipeline/
│ │
│ └───scripts/
│
└───visualization/
$ docker build -t jupyter .
$ docker images
$ docker run -it --rm -p 8888:8888 -v /path/to/obstacle-detection:/home/jovyan/work jupyter
$ docker exec -it *CONTAINER ID* bash
(find out ID by running $ docker ps
)
Dataset:
Segmentation:
Obstacle detection:
Useful Github links: