Skip to main content

VTT's autonomous cars take to public roads

The autonomous cars developed by VTT Technical Research Centre of Finland are able to exchange information with each other and their driving environment. They are able to follow a pre-programmed route and avoid collisions with sudden obstacles without input from the driver. The cars currently require the lane markings or sides of the road to be visible. However, by 2020, VTT says the cars will be driving in more demanding conditions on roads covered in gravel and snow. The autonomous cars feature a thermal
May 18, 2017 Read time: 2 mins
The autonomous cars developed by 814 VTT Technical Research Centre of Finland are able to exchange information with each other and their driving environment. They are able to follow a pre-programmed route and avoid collisions with sudden obstacles without input from the driver. The cars currently require the lane markings or sides of the road to be visible. However, by 2020, VTT says the cars will be driving in more demanding conditions on roads covered in gravel and snow.

The autonomous cars feature a thermal camera for observing people and animals; a stereo camera and radar for high-resolution scanning of the vicinity; laser scanners and long-range radars for seeing further; and GPS/Glonass receivers for positioning. The cars also have inertia units to determine direction and acceleration. The actuators are cylinders and motors. The sensors and actuators are connected by intelligence that creates a situational awareness and controls the actuators so that the car moves as planned at an accuracy of milliseconds and centimetres.

According to project manager Matti Kutila, the next step for VTT's automated cars will be changing the wavelengths of the optical components, increasing the resolution of the radar and building more intelligence into the software monitoring the capabilities of the sensors. These are intended to tackle demanding weather conditions.

Different scenarios are added step by step in the development of the autonomous cars, such as cities, main roads, snow, exit ramps that the car can manage, while increasing the driving speed and managing difficult driving conditions with improved intelligence.

For more information on companies in this article

Related Content

  • Preventing connected vehicles creating disconnected drivers
    November 12, 2015
    Advanced driver assistance systems (ADAS) are evolving at a rapid pace – but drivers’ ability to cope with them is not and at some point the mismatch must be addressed. Probably the biggest challenge the transportation industry has ever faced.” That is how Dr Bryan Reimer of Massachusetts Institute of Technology AgeLab describes the challenges posed by semi-autonomous vehicles.
  • Machine vision develops closer traffic ties
    January 11, 2013
    Specifiers and buyers of camera technology in the transportation sector know what they need and are seeking innovative solutions. Over the following pages, Jason Barnes examines the latest developments with experts on machine vision technology. Transplanting the very high-performance camera technology used in machine vision from tightly controlled production management environments into those where highly variable conditions are common requires some careful thinking and not a little additional effort. Mach
  • ITS America 2016 demos feature V2I technology, truck cruise control, ADAS and more
    June 3, 2016
    ITS America 2016 San Jose, a new show representing this transformative moment in intelligent transportation, is centred on the theme “Integrated Mobility. Transportation Redefined.” Some of the intelligent systems redefining transportation will be on display – running, operating, waiting for close-up inspection and hands-on participation as part of “#THISisITS Exhibits and Demonstrations,” Monday, June 13, through Wednesday, June 15. For full information and registration options, visit www.itsamerica2016.or
  • Smartphone solution for parking performance
    March 31, 2017
    Automated parking offers optimised space utilisation and fewer damage complaints as David Crawford discovers. As cars become smarter, technology designed to make parking them more straightforward is developing in parallel. In turn, it is becoming clear that the places where vehicles spend much of their time will need to respond – more comprehensively than by supporting established aids such as smartphone-based parking location and reservation, or payment for time used.