Skip to main content

VTT 's robot car now sees through fog

VTT Technical Research Centre of Finland says it is one step closer to creating a safe automated vehicle through upgrades made to its Marilyn robot car. The vehicle can now see through foggy and snowy conditions, navigating without stopping. Additionally, VTT says, the car can see humans through fog and avoid accidents automatically. Marilyn now has light imaging, detection, and ranging (Lidar) mounted on its roof, which the company claims enables it to see wavelengths beyond the human senses.
May 15, 2018 Read time: 2 mins
814 VTT Technical Research Centre of Finland says it is one step closer to creating a safe automated vehicle through upgrades made to its Marilyn robot car. The vehicle can now see through foggy and snowy conditions, navigating without stopping.


Additionally, VTT says, the car can see humans through fog and avoid accidents automatically.

Marilyn now has light imaging, detection, and ranging (Lidar) mounted on its roof, which the company claims enables it to see wavelengths beyond the human senses.

Matti Kutila, VTT’s project manager, says: "Although Marilyn's vision is limited to roughly 30m in thick fog, the new Lidar type allows the car to be driven slowly rather than having to fully stop.”

The car now features optical component wavelengths via the 1550 nanometre Lidar and has additional intelligence for its software design to improve sensor capabilities. Software modules have been built in for the filtering of point clouds and the assessment of scanner reliability.

However, Marilyn's automotive radars and Lidar's detection of non-metallic obstacles and resolution is limited, particularly when trying to recognise shapes.

For more information on companies in this article

Related Content

  • Bluetooth and Wi-Fi offer new options for travel time measurements
    November 20, 2013
    New trials show Bluetooth and Wi-Fi signals can be reliably used for measuring travel times and at a lower cost than an ANPR system, but which is the better proposition depends on many factors. Measuring travel times has traditionally relied automatic number plate (or licence plate) recognition (ANPR/ALPR) cameras capturing the progress of vehicles travelling along a pre-defined route. Such systems also have the benefit of being able to count passing traffic and have become a vital tool in dealing with c
  • Mobile transport information across the Finnish–Russian border
    April 16, 2014
    The smart transport corridor between Helsinki in Finland and St Petersburg in Russia will bring new services for passengers, car drivers and public transport. Development of the Vedia multi-service concept, led by VTT Technical Research Centre of Finland and Vediafi, unites newly opened mobile services that will result in smoother passenger traffic across the Finnish–Russian border and enhance passenger experience and traffic safety. Vedia multi-service is a key element of the Finnish–Russian intelligent
  • C/AVs are target of NXP launch
    October 10, 2022
    TEF82xx radar transceiver enables 360-degree sensing for critical safety applications
  • Finland’s Corridor as a Service aims to streamline logistics
    March 23, 2018
    Corridor as a Service (CaaS) operator Vediafi has signed a CaaS-Net ecosystem agreement with Dynniq at Intertraffic 2018, in Amsterdam. The service is designed with the intention of improving goods logistics through digital services to help Finland become a logistics hub for improving and expanding international commerce. The development of the CaaS ecosystem is being accelerated by the capital loan granted by Business Finland for the development of new growth drivers. A preliminary assessment is being