Data from the sensors are analysed to understand the surroundings.
It's vital for the ferry to clearly understand the surrounding environment in order to navigate safely to the desired destination. This is achieved by several algorithms that use sensor data and knowledge from other similar scenarios. The more experience the algorithms get from different scenarios, the better they become.
We aim to create the most experienced (digital) captain in the world. We will achieve this by training our algorithms in a digital world. In this digital world we can test any situation imaginable without putting anyone at risk. Additionally we can run several scenarios in parallell and at an increased speed. All of this digital training, in combination with real trials, we enable us to reach our goal.
Read more about our digital twin.