Finland working on autonomous trucks

As part of the European DESERVE project, VTT Technical Research Centre of Finland, Iveco Finland and TTS-Kehitys are developing a new software platform which will bring autonomous driving features to trucks. The truck of the future will sense nearby obstacles and possible safety risks and inform the driver. The vehicle will also monitor driving behaviour and draw the driver's attention to possible hazardous situations. TTS is implementing and testing the safety equipment development platform. A driver mo
June 19, 2015 Read time: 2 mins
As part of the European DESERVE project, 814 VTT Technical Research Centre of Finland, Iveco Finland and TTS-Kehitys are developing a new software platform which will bring autonomous driving features to trucks. The truck of the future will sense nearby obstacles and possible safety risks and inform the driver. The vehicle will also monitor driving behaviour and draw the driver's attention to possible hazardous situations.

TTS is implementing and testing the safety equipment development platform. A driver monitoring functionality developed by VTT based on eye tracking is also utilised. TTS will that the test results correspond to what would happen on real roads and can be applied in practice.

Iveco Finland provided a truck, with a very highly developed camera system, for the project. This is being complemented with a 360-degree camera system, three 3D cameras, nine short-range radars and three in-vehicle cameras. With these, the driver can obtain real-time information on obstacles and possible safety risks around the car. In addition, the in-vehicle cameras monitor the driver's attentiveness and driving behaviour.

The project, which began in 2012, will end in February 2016 and the first versions of the systems should be ready for installation in vehicles within two years.
Location Based Systems

For more information on companies in this article

VTT

Related Content

  • Panasonic in Colorado: Rocky mountain way
    December 3, 2018
    Panasonic is at the heart of a C-V2X project which began last year in Colorado. The company’s smart mobility boss Chris Armstrong tells Adam Hill how it is working out Colorado needs traffic and transport solutions – and fast. The US state’s population has grown 50% in the last 20 years and another 50% hike is predicted in the next 20. It also spends more than $13 billion in roadway crash costs each year. In 2015, 546 people died in traffic-related crashes, and more than 3,000 were seriously injured.
    Read More
  • Aptiv: we need overhaul of AV nervous system
    August 20, 2019
    Autonomous vehicles are changing a lot of things: Aptiv’s Christian Schäfer suggests that we need to look again at traditional approaches to vehicle architecture to find viable options for the future
    Read More
  • Enforcement needs automation and communication
    February 1, 2012
    TISPOL's Peter van de Beek questions whether the thought processes which drive enforcement technology development are always the right ones. Peter van de Beek sees an ever-greater role for technology in traffic enforcement but is concerned that the emphasis of technological development and discussion is not always in the right places. 'Old-fashioned' face-to-face policing remains as valid as it ever did, he feels, but adds that there should be greater communication with those engaged at the sharp end of saf
    Read More
  • Cellint measures speed and travel time without roadside infrastructure
    April 10, 2014
    Collecting speed and travel time data without using roadside infrastructure could offer new possibilities to cash-strapped road authorities. Streaming video may be useful for traffic controllers to monitor incidents and automatic number plate recognition may be required for enforcement, but neither are necessary for many ITS functions. For instance travel times, tailbacks, percentage of vehicles turning, origin and destination analysis can all be done using Bluetooth and/or WI-Fi sensors and without video o
    Read More

Highlighted Content