SciTransfer
Organization

TOMTOM INTERNATIONAL BV

Global navigation and mapping company contributing location intelligence, GNSS positioning, and real-time traffic data to European intelligent transport research.

Large industrial companytransportNLNo active H2020 projects
H2020 projects
5
As coordinator
0
Total EC funding
€81K
Unique partners
83
What they do

Their core work

TomTom is a global navigation and location technology company headquartered in Amsterdam, known for its digital maps, traffic data, and navigation software used across automotive, logistics, and consumer markets. In H2020 projects, TomTom contributed its mapping, positioning, and computer vision capabilities to advance intelligent transport systems — particularly driver assistance, lane-level navigation, and video analytics. Their participation focused on bringing commercial-grade location intelligence and real-time data processing into research consortia developing next-generation ADAS and autonomous driving technologies.

Core expertise

What they specialise in

GNSS and lane-level positioningprimary
1 project

INLANE project focused on fusing low-cost GNSS with computer vision for accurate lane-level navigation — directly aligned with TomTom's core mapping business.

Large-scale video and image analyticssecondary
1 project

Cloud-LSVA project addressed cloud-based large-scale video analysis, where TomTom likely contributed road imagery and map-matching capabilities.

Electromobility routing and networkssecondary
1 project

Participated as third party in NeMo, a hyper-network for electromobility — likely providing routing and navigation infrastructure for EV charging networks.

Driver state monitoring and HMIsecondary
1 project

ADASANDME specifically addressed driver impairment detection (drowsiness, stress, inattention) and adaptive human-machine interfaces under automation.

Evolution & trajectory

How they've shifted over time

Early focus
ADAS and driver monitoring
Recent focus
No later-period activity

All of TomTom's H2020 projects started in 2016, so there is no meaningful temporal evolution to track — their participation represents a single concentrated engagement period rather than a long-term trajectory. Keywords from the early period center on adaptive ADAS, driver impairment detection, and automation-era HMI, while no recent-period keywords exist because all projects fall within the same timeframe. This suggests TomTom made a focused strategic decision to engage with EU research around 2016, likely as autonomous driving and ADAS became commercially critical.

TomTom's H2020 activity was concentrated in 2016 with no visible continuation, suggesting they may have shifted R&D collaboration to other channels or moved these capabilities in-house.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European16 countries collaborated

TomTom never coordinated an H2020 project — they joined as a participant (4 times) or third party (2 times), consistent with a large company contributing specific technology assets to research-led consortia rather than driving the research agenda. With 83 unique partners across 16 countries, they engaged broadly but without deep repeated partnerships. Their relatively low direct EC funding (around EUR 81K) suggests they contributed primarily in-kind or through existing commercial products, treating EU projects as a testing ground rather than a funding source.

TomTom collaborated with 83 unique partners across 16 countries, indicating broad European reach through large transport-focused consortia. Their network spans the major EU automotive and research hubs without concentration in any single geography.

Why partner with them

What sets them apart

TomTom brings something few research partners can: production-grade mapping data, real-time traffic intelligence, and positioning technology already deployed at global scale. For any consortium working on connected and automated driving, TomTom offers immediate access to commercial map infrastructure and billions of kilometers of probe data. Their value is not as a research lab but as the bridge between laboratory ADAS concepts and the real-world mapping backbone they need to function.

Notable projects

Highlights from their portfolio

  • ADASANDME
    Tackled the complex intersection of driver impairment (drowsiness, stress, emotions) with adaptive ADAS — a safety-critical area where TomTom's navigation and HMI expertise directly applies.
  • INLANE
    Directly aligned with TomTom's core business: fusing low-cost GNSS with computer vision for lane-level positioning accuracy, with EUR 54K in EC funding — their largest funded project.
  • NeMo
    Expanded TomTom's footprint beyond traditional navigation into electromobility infrastructure, connecting EV charging networks with routing intelligence.
Cross-sector capabilities
Electromobility and EV infrastructureDigital mapping and geospatial data servicesComputer vision and image processingCloud computing and large-scale data analytics
Analysis note: TomTom is a well-known company, but their H2020 footprint is modest: only 5 unique projects (one duplicated entry), all starting in 2016, with very low direct EC funding (EUR 81K). Two participations were as third party, suggesting limited formal commitment. The profile is reliable due to TomTom's public brand identity, but the H2020 data alone provides a narrow window into their full R&D capabilities. No temporal evolution analysis is possible since all projects share the same start year.