Perception-to-action for collision avoidance using robotic boats

Much like driving cars on our roads, there are rules around driving maritime systems (boats) on waterways regarding where you can drive and how to avoid and behave in potential collision situations.

In this project, you’ll explore and develop state-of-the-art perception and decision support solutions to allow robotic surface vessels (robot boats) to safely travel complex waterways in and around other human-driven vessels. This will involve diving deep into vision and laser-based sensor processing and fusion algorithms, as well as robust autonomous decision support frameworks to allow compliance with collision regulations (COLREGs). A goal will be to validate these algorithms on our extensive state-of-the-art robotic boat fleet.

This project is funded by an industry collaborator.

Chief Investigators