Skip to main content

TomTom launches RoadDNA

TomTom has launched TomTom RoadDNA, a new product for vehicle localisation that will help make automated driving a reality, faster. Designed with vehicle data storage and processing limitations in mind, RoadDNA delivers highly accurate location information that can easily be integrated into the on-board system of a vehicle. RoadDNA’s propriety technology delivers a highly optimised lateral and longitudinal view of the roadway. By matching RoadDNA data with vehicle sensor data in real-time a vehicle knows
September 14, 2015 Read time: 2 mins
1692 TomTom has launched TomTom RoadDNA, a new product for vehicle localisation that will help make automated driving a reality, faster. Designed with vehicle data storage and processing limitations in mind, RoadDNA delivers highly accurate location information that can easily be integrated into the on-board system of a vehicle.

RoadDNA’s propriety technology delivers a highly optimised lateral and longitudinal view of the roadway. By matching RoadDNA data with vehicle sensor data in real-time a vehicle knows its location on the road, even while travelling at high speeds or when changes occur to the roadside.

By converting a 3D point cloud of road side patterns into a compressed, 2D view of the roadway, RoadDNA delivers a solution that needs little storage space and limits processing requirements, without losing detail. It eliminates the complexity of identifying each single roadway object, but instead creates a unique pattern of the roadway environment. This makes the technology robust and scalable.  

TomTom RoadDNA, combined with the TomTom HAD Map, delivers accurate and robust technology by providing real-time information about a vehicle’s precise location on a map whilst coping with changes in the environment.

“We know that the future of automated driving hinges on the ability of a vehicle to continuously know exactly where it is located on the road,” said Harold Goddijn, TomTom CEO. “TomTom RoadDNA is the only technology of its kind that delivers highly accurate vehicle localisation content in an efficient and cost effective way.”

Related Content

  • April 12, 2013
    Connected vehicles - potential to transform US transportation
    There’s a new face in the driving seat at the US Department of Transport’s ITS Joint Program Office. Fortunately, as Robin Meczes finds out, he’s no learner driver… Ask Kenneth Leonard why he wanted his new job as director of the ITS Joint Program Office, and his answer comes back without a second’s delay. “The potential to save lives, reduce injuries and help people enjoy a more efficient transportation system is the kind of challenge that makes me want to come to work each morning,” he says. “In my opinio
  • October 28, 2019
    C/AVs could mean cheaper roads
    The safety benefits of C/AVs have long been promoted – but research suggests they should also contribute to cheaper roads. David Crawford investigates the potential benefits in infrastructure costs Building narrower freeway lanes to accommodate the enhanced route-tracking capabilities of connected and autonomous vehicles (C/AVs), running in platoon conditions, could result in cost savings of £0.5 million (€0.56 million or US$6.5 million) for every km of road length built. Such benefits could be secur
  • November 21, 2013
    Autonomous vehicles, the pros and cons
    Driver interface and human factors could provide the biggest obstacles to autonomous vehicles as Jon Masters discovers.
  • May 29, 2013
    ITS advancement lays beyond benefit-cost analysis
    Shelley Row, former Director of the US Department of Transportation’s ITS Joint Program Office, gives her views on the way forward for the industry. We, as intelligent transportation system (ITS) proponents and engineers, tend to be overly fixated on benefit-cost data. We want decisions to be made on logical grounds for which benefit-cost calculations are optimal. While benefit-cost data is necessary, it is not always sufficient. We can learn from our history where we see three broad groups of ITS deploymen