Project's contributors:
Project's goals:
- Mounting sensors (camera and LiDAR) on our vehicle.
- Sensor calibration
- Data acquisition
- Multi-instance semantic segmentation of camera data
- Back-projection of multi-instance semantic segmentation onto the LiDAR's points of cloud.
- Removal of instances of dynamic objects.
- Generation of SLAM (without dynamic objects).
Project description:
I've start with studying the EfficientPS Deep Neural Network to understand how it works and if it could be good for get the multi-instances semantic segmentation of the camera's images for the project.
Work still in progress ...
Check out other projects about robotic perception.