Over 5m vehicles use TomTom for automated driving

TomTom has announced that more than five million vehicles now use its maps for automated driving.

According to the geolocation tech business, this figure has increased tenfold over the past three years.

The SAE level one and level two automated vehicles (AVs), sold by manufacturers based in North America and Europe, have been using the company’s advanced driver assistance systems map.

The map provides what the company describes as a highly accurate representation of the road, with a number of features, including lane models and lane geometry, with accuracy down to a few centimetres.

TomTom’s HD map can be used to help an AV precisely localise itself on the road, to support sensors to understand vehicle surroundings, and to plan manoeuvres. It can also be used to enable and improve different automated driving (AD) functions, such as autopilot and highway pilot, as well as full driving automation (SAE Level five).

“Having the world’s largest carmaker groups choose TomTom’s ADAS and HD maps to support the safety, comfort and efficiency of their vehicles’ most advanced automated driving functions, is proof of the quality and robustness of our automated driving product portfolio,” said Antoine Saucier, managing director, TomTom Automotive. “We’re now powering over five million automated vehicles on the road today.

"That number has grown exponentially over the past few years and will continue to grow faster than the global market over the coming years thanks to our latest deals, cementing TomTom’s leadership position in this market.”

    Share Story:

Recent Stories


Bringing Teams to the table – Adding value by integrating Microsoft Teams with business applications
A decade ago, the idea of digital collaboration started and ended with sending documents over email. Some organisations would have portals for sharing content or simplistic IM apps, but the ways that we communicated online were still largely primitive.

Automating CX: How are businesses using AI to meet customer expectations?
Virtual agents are set to supplant the traditional chatbot and their use cases are evolving at pace, with many organisations deploying new AI technologies to meet rising customer demand for self-service and real-time interactions.