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.

Related Content

  • January 30, 2012
    Road safety systems on show at ITS World Congress
    A vast array of new products and systems for aiding road safety were displayed at the ITS World Congress in October. David Crawford assesses a selection of safety initiatives exhibited in Orlando. Vital roles for ITS applications in road traffic safety emerge clearly from a new report from the US Transportation Safety Advancement Group. The report has been carried out for the Next Generation 911 What's Next Forum, which is preparing the way for future development of the US national 911 emergency single call
  • January 30, 2012
    Selecting the right camera for safety or security
    Machine vision systems offer great variety of function and performance. Teledyne DALSA product manager Manuel Romero describes 10 key criteria to aid selection of advanced camera technology for safety or security applications. There are many ways in which machine vision systems can enhance safety and security in transportation, but the ultimate results will only be as good as the image produced. Success relies on correct selection of the camera of such systems, as the features and performance required vary
  • November 23, 2018
    Vision technology: the future in focus
    Just a few years ago, terms such as ‘embedded’ and ‘polarisation’ were buzzwords. But now they are real and present examples of vision technology in action – and, Adam Hill finds, the ITS industry is waking up to a number of possible applications Every aspect of the intelligent transportation systems industry moves quickly – but developments in camera technology change with a rapidity which can appear quite bewildering. And with ITS providers constantly searching for an edge against fierce competitio
  • July 23, 2012
    Radar effective as detection tool for hard shoulder running
    Navtech Radar's millimetric-wave systems are being researched on the M42 in England to look into how this type of detector can assist in the opening of the hard shoulder as an additional running lane. Here, the company's Stephen Clark talks about the technology being used. In England, the Highways Agency's (the HA, an executive agency of the Department for Transport) Managed Motorways system - formerly called Active Traffic Management - uses electronic signs and signals mounted on gantries to direct drivers