Our Technology

Autonomous and electric urban vessels

Our autonomous passenger vessels have zero emission, frequent departures, and are cost efficient. Zeabuz was founded from research on autonomous waterborne systems where we are world leading, but we also have experience and knowledge of designing and building small electric vessels. Control of the entire process, from design to commissioning, is key to be able to create a reliable and cost efficient product. For developing a safe and robust autonomous mobility system, a rigorous test system is needed. We have developed our own test environment with a complete simulation set-up where we can test anything from the smallest part of the system to an entire day of operation with several vessels in any location in the world. Let's get into more detail of the technologies Zeabuz have developed so far.  

 

Our vessels

With NTNU in the lead, we have participated in the design and construction of one of the worlds first autonomous urban vessels, "milliAmpere 2". The construction was finished summer of 2021 with commissioning and finishing touches being done for the remaining part of the year. The vessel is to be put into public operation in Trondheim during 2022, serving as a research platform on autonomous mobility services for NTNU and partners such as Zeabuz.  

mA2 drawing
mA2 construction
mA2 commissioning

The Autonomy System

The autonomy system can be explained by four core parts; See, Understand, Plan, Act. Together, these four parts make up the Zeabuz digital captain, which can navigate our vessels safely around the clock. Do you want to know more? Click on a link below to read more about the technologies behind these core parts.

Styring-01-sense.jpg

A set of different sensors scan the environment.

Styring-02-comprehend.jpg

Data from the sensors are analysed to understand the surroundings.

Styring-03-plan.jpg

Plan a safe route to the desired destination.

Styring-04-act.jpg

The plan is executed and continuously reevaluated.

 
Digital_Twin.jpg

Simulator

Making the most experienced (digital) captain in the world

In order for our vessels to navigate autonomously, they need to understand their surroundings to make the right decisions. We are solving this challenge with the help of algorithms that use artificial intelligence. These algorithms use sensor data together with experience from previous scenarios to make decisions. The more experience the algorithms get from different scenarios, the better decisions they make. 

We aim to create the most experienced 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 parallel, at high speed, and with many repetitions, thereby generating more experience than would ever have been possible in the real world.

We are able to achieve these digital tests by creating a fully digital representation, a digital twin, of the vessel and the Zeabuz autonomy system, and placing that into a game-like representation of the operational area, a simulator. 

See the video below if you want to see the digital twin of milliAmpere 2 in action.

 

Simulation of a crossing with the digital twin of milliAmpere 2 in Ravkloa, Trondheim.

 

Trust 

How can we build trust in complex, autonomous mobility systems?

Delivery of assurance requires innovation as these assets have become highly complex, software intensive systems, incorporating Artificial Intelligence that gives the system a new kind of agency and responsibility. Since these systems will be changing throughout their life-cycle they will require effective means to deliver continuous assurance. The assurance approach must also attend to ethical dilemmas and engage with citizens to provide societal trust.

 

At Zeabuz we innovate digital assurance concepts that integrate methods, tools, simulation-based testing, use of digital twins, full-scale testing, citizen engagement methodologies and environmental impact assessment.

This with the purpose to transparently provide trustworthiness to all stakeholders, and in turn unlock the potential for scaling up autonomous and sustainable mobility solutions through a Trust Ecosystem.

Validation-approval.jpg
Validation.jpg
Control_Room.jpg