Skip to main content

VTT develops new technology for autonomous ship navigation systems

Finland’s VTT Technical Research Centre is developing safe steering for the remote-monitored and controlled autonomous ships of the future.
June 19, 2017 Read time: 2 mins

Finland’s 814 VTT Technical Research Centre is developing safe steering for the remote-monitored and controlled autonomous ships of the future.

VTT says the ships of the future will largely be controlled by artificial intelligence, but must be monitored and controlled on demand by land-based professionals. This trend sets new challenges also for autonomous ship navigation systems, which must be able to control ships in various situations.

The Apilot autopilot under development by VTT has three modes: track, heading and slow joystick control for docking situations.

In track mode, Apilot steers the ship along a previously agreed route. If the ship detects another vessel, which must be avoided, the autopilot switches to heading mode, which enables Apilot to avoid the other vessel with a small change in the ship’s heading. Autopilot returns to track mode after the other vessel has been avoided.

In joystick mode, control and propulsion equipment are adjusted to low speeds manoeuvrings. Apilot puts the ship into the desired operating mode, for example to manoeuvre sideways into a dock.

In all situations, the autopilot ensures that the ship remains within a set distance from the planned route. If the limits are exceeded, the autopilot gives a warning and remote control must be taken of the ship.

VTT has studied interaction between humans and technology in maritime transport and has developed new concepts for the bridges and remote shore control centres of the autonomous ships of the future. The aim is to make operations more safe, efficient and comfortable by seeking new solutions that enhance operating methods, as well as the usability and user experience of technologies.

For more information on companies in this article

Related Content

  • ITF diagnoses South Asia’s breathing difficulties
    August 26, 2022
    One of the world’s fastest-growing regions faces major transport sector decisions if it is to avoid spiralling emissions problems in coming decades. Alan Dron takes a look at a new report on Asia from the International Transport Forum
  • VTT to develop advanced wireless network for world’s largest trans-shipment hub
    October 4, 2013
    VTT Technical Research Centre of Finland is to test and develop an advanced wireless network for PSA Singapore Terminals (PSA), the world’s largest trans-shipment hub. The network will strengthen PSA’s management of innovative unmanned systems, including automated guided vehicles (AGV), which are currently being developed. PSA will be able to command and control its AGV fleet reliably and safely, through a robust wireless mesh network, a group of wireless devices which can boost the reliability and conne
  • New Hampshire plans for tomorrow’s communication
    August 21, 2017
    Someone once likened predicting the future to ‘nailing a jelly to the wall’. With ITS, C-ITS and V2X technology progressing at such a pace, predicting the future is more akin to trying to nail three jellies to the wall – but only having one nail. And yet with roadways having a lifetime measured in decades, that is exactly what highway engineers and traffic planners are expected to do. Fortunately, New Hampshire DoT (NHDoT) believes its technological advances may be able to provide a solution. The Central Ne
  • Volvo testing smart cars that share road conditions
    February 20, 2015
    As the Drive Me project enters its second year, Volvo Cars is moving rapidly towards the aim of placing 100 self-driving cars in the hands of customers on selected roads around Gothenburg by 2017. The key to making this unprecedented leap is a complex network of sensors, cloud-based positioning systems and intelligent braking and steering technologies. Volvo Cars’ Autopilot system is designed to be reliable enough to allow the car to take over every aspect of driving in autonomous mode. The main challenge i