Skip to main content

Autonomous vehicle accuracy mapping from TomTom

Pride of place on satellite navigation pioneer TomTom’s stand is very high resolution 3D mapping, initially for Germany, which it says provides the 10cm accuracy necessary for highly automated vehicles. Its mainstream mapping is also high definition meaning the image can be used on any size of screen – as visitors can see.
October 8, 2015 Read time: 2 mins
Matthieu Campion of TomTom with the company's technology

Pride of place on satellite navigation pioneer 1692 TomTom’s stand is very high resolution 3D mapping, initially for Germany, which it says provides the 10cm accuracy necessary for highly automated vehicles. Its mainstream mapping is also high definition meaning the image can be used on any size of screen – as visitors can see.

Also highlighted is the company’s smartphone navigation app – increasingly favoured by occasional users of navigation services while it finds regular users such as delivery drivers are staying with dedicated devices. 
Marketing manager, automotive, Matthieu Campion said his company has many reciprocal agreements with road authorities to both receive and deliver traffic information and is working on algorithms to predict traffic conditions over the coming 15 minutes.  

And with changes happening on 15% of major routes each year, the company is working on speeding the verification and map updating process to a matter of a few days, or potentially hours, rather than weeks or a month as it is currently. “Much depends on where the users’ maps are actually located; in their devices (which are currently updated quarterly) or on our servers which can be readily updated,” says Campion.

There is currently discussions with the vehicle manufacturers about a strategy for high frequency updates and whether to update the area around the vehicle or along the selected route.

For more information on companies in this article

Related Content

  • Cross referencing data sets reveals now decision support information
    November 18, 2014
    Combining previously unrelated sets of data can provide an in-depth view of travel patterns. "Through the use of analytical tools, Urban Insights seeks to help transportation organisations benefit from the vast amounts of detailed data they collect every day.”
  • MIT study combines traffic data for smarter signal timings
    April 1, 2015
    Researchers at Massachusetts Institute of Technology (MIT) have found a method of combining vehicle-level data with less precise, but more comprehensive, city-level data on traffic patterns to produce better information than current systems provide. They claim this reduce delays, improve efficiency, and reduce emissions. The new findings are reported in a pair of papers by assistant professor of civil and environmental engineering Carolina Osorio and alumna Kanchana Nanduri, published in the journals Tra
  • Tech advances create MaaS without compromise
    August 29, 2019
    Advances in technology make it possible for authorities to compile and maintain MaaS platforms cheaply - and without relinquishing control to third parties. Colin Sowman finds out more… It is increasingly clear that local authorities’ reluctance to implement Mobility as a Service (MaaS) is based on politics and finance. However, the technology underpinning MaaS is evolving rapidly and is presenting new solutions. At its heart, the political resistance comes down to the divide between the ethos of public
  • Technology solution needed to counter mobile phone menace
    March 29, 2017
    With the UK set to increase the penalties for using mobile phones while driving, the RAC Foundation’s Steve Gooding considers what else can be done to combat this deadly distraction. The first mobile phone call was made in 1973, by an engineer working for Motorola. Today 4.7 billion people across the globe subscribe to a mobile service.