SciTransfer
Organization

SCANIA CV AB

Major Swedish truck manufacturer contributing fleet data, vehicle platforms, and testing infrastructure for automated driving and transport safety research.

Large industrial companytransportSENo active H2020 projects
H2020 projects
7
As coordinator
0
Total EC funding
€4.1M
Unique partners
211
What they do

Their core work

Scania is a major Swedish manufacturer of heavy commercial vehicles — trucks and buses — headquartered in Södertälje. In H2020, they contributed as an industrial end-user and testing partner for advanced driver assistance systems, automated driving, truck platooning, and vehicle reliability. Their R&D participation focuses on making commercial road transport safer, more aerodynamic, and increasingly autonomous, bringing real-world fleet data and vehicle integration expertise to research consortia.

Core expertise

What they specialise in

3 projects

PRoPART worked on precise GNSS positioning for automated transport, ENSEMBLE on multi-brand truck platooning, and PRYSTINE on embedded AI for autonomous vehicles.

Truck aerodynamics and long-distance transport efficiencysecondary
1 project

AEROFLEX developed aerodynamic and flexible truck configurations for next-generation long-distance road transport.

Vehicle-to-infrastructure communication and sensor fusionsecondary
2 projects

PRoPART combined UWB, EGNSS, and sensor fusion for positioning; ENSEMBLE addressed multi-brand communication for platooning.

Electronic component reliability (Quality 4.0)emerging
1 project

iRel40 applied AI/ML-based prediction and physics-of-failure methods to chip-package-board reliability in automotive systems.

Evolution & trajectory

How they've shifted over time

Early focus
Driver monitoring and adaptive ADAS
Recent focus
Connected automated truck driving

Scania's early H2020 work (2015–2018) centered on driver-focused safety — detecting drowsiness, inattention, stress, and other impairments to adapt ADAS and HMI systems accordingly. From 2017 onward, the focus shifted decisively toward vehicle autonomy infrastructure: precise satellite positioning (Galileo/RTK), V2I communication, truck platooning, and sensor fusion for connected automated driving. By 2020, they had expanded further into electronic reliability and AI-based predictive quality for automotive components.

Scania is moving from driver-assistance research toward full vehicle autonomy and fleet-level connected driving, making them an increasingly relevant partner for autonomous commercial transport projects.

Collaboration profile

How they like to work

Role: active_partnerReach: European21 countries collaborated

Scania participates exclusively as a partner or third party — never as coordinator — which is typical for large OEMs that contribute vehicles, fleet data, and real-world testing infrastructure rather than leading research management. With 211 unique partners across 21 countries and mostly large Innovation Action consortia (4 of 7 projects), they operate as an industrial anchor in broad European consortia. Their role is to ground academic research in commercial vehicle reality.

Scania has built a wide European network of 211 unique partners across 21 countries, reflecting their role as a sought-after OEM partner in large-scale transport and automotive research consortia.

Why partner with them

What sets them apart

Scania brings something most research partners cannot: access to real commercial truck fleets, production-grade vehicle platforms, and decades of heavy-vehicle engineering expertise. For any consortium working on automated driving, truck platooning, or road transport safety, Scania offers the credibility and testing infrastructure of a top-tier OEM. They are one of very few heavy commercial vehicle manufacturers actively engaged in H2020 automated driving research.

Notable projects

Highlights from their portfolio

  • ENSEMBLE
    Largest funding (EUR 2.2M) — multi-brand truck platooning across Europe, directly relevant to Scania's core business of long-haul commercial transport.
  • ADASANDME
    Addressed the human factor in automated driving — detecting driver impairment (drowsiness, stress, emotions) to adapt ADAS behavior in real time.
  • PRoPART
    Combined Galileo EGNSS with ultra-wideband and sensor fusion for centimeter-level truck positioning, a key enabler for autonomous freight corridors.
Cross-sector capabilities
Digital (AI/ML for vehicle systems and reliability)Manufacturing (Quality 4.0, design for reliability)Space (EGNSS/Galileo receiver integration for positioning)Security (safety-critical embedded systems)
Analysis note: Strong profile supported by 7 projects with clear thematic coherence. Some projects (oCPS, AEROFLEX, ENSEMBLE) lack keyword data, so the evolution analysis relies primarily on ADASANDME and PRoPART keywords. Scania's third-party role in oCPS suggests they may have contributed testing infrastructure rather than core research.