Currently, our perception is heavily reliant on LIDAR for detecting buoys and other obstacles. Our camera based perception is decent in simulation for usually fails on the water. Current camera perception algorithms involve color filtering and clustering with very basic stereo vision. We would like to train a machine learning model for buoy detection and location, then move on to detecting other objects like docks. YOLO is a good place to start and is widely used for applications like this.
Currently, our perception is heavily reliant on LIDAR for detecting buoys and other obstacles. Our camera based perception is decent in simulation for usually fails on the water. Current camera perception algorithms involve color filtering and clustering with very basic stereo vision. We would like to train a machine learning model for buoy detection and location, then move on to detecting other objects like docks. YOLO is a good place to start and is widely used for applications like this.