SciTransfer
Organization

RE:LAB SRL

Italian SME designing human-machine interaction, driver monitoring, and perception systems for automated and electric vehicles.

Technology SMEtransportITSMENo active H2020 projects
H2020 projects
5
As coordinator
0
Total EC funding
€917K
Unique partners
131
What they do

Their core work

RE:LAB is an Italian SME specializing in human-machine interaction design for the automotive and mobility sector. They focus on how drivers interact with automated and semi-automated vehicles — designing interfaces, monitoring systems, and trust-building mechanisms between humans and intelligent machines. Their work spans from driver monitoring and task distribution in semi-autonomous cars to smart sensor integration and perception systems for next-generation vehicles.

Core expertise

What they specialise in

Human-machine interaction for automated drivingprimary
3 projects

Core contributor to AutoMate (driver monitoring, task distribution), SAFE STRIP (interactive road applications), and PRYSTINE (intelligence in automobiles).

Driver monitoring and situation awarenessprimary
2 projects

AutoMate focused explicitly on driver and situation monitoring, shared understanding, and dynamic driving task distribution; NextPerception includes human monitoring.

Smart perception sensors and distributed intelligenceemerging
2 projects

PRYSTINE and NextPerception both address sensor systems, edge computing, and AI-driven perception for vehicles.

UX/UI design for electric and autonomous vehiclessecondary
2 projects

RESOLVE focused on electric L-category vehicles and AutoMate on trustful human-automation teaming, both requiring user-centered design.

Evolution & trajectory

How they've shifted over time

Early focus
Human-vehicle trust and interaction
Recent focus
AI-driven perception and sensor systems

RE:LAB's early H2020 work (2015–2018) centered on the human side of automated driving — trust, shared understanding between driver and machine, and dynamic task distribution (AutoMate, RESOLVE). From 2018 onward, their focus shifted toward the hardware and AI layer: semiconductor components, perception sensors (radar, lidar, time-of-flight), edge computing, and explainable AI (PRYSTINE, NextPerception). This evolution shows a company moving from pure interaction design into the deeper technical stack that powers those interactions.

RE:LAB is moving from designing how humans interact with automated vehicles toward building the AI and sensor intelligence that makes those vehicles understand their environment and explain decisions back to drivers.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European20 countries collaborated

RE:LAB operates exclusively as a participant — they have never coordinated an H2020 project, which is typical for a specialized SME contributing focused expertise to larger consortia. With 131 unique partners across 20 countries in just 5 projects, they join large, multi-partner Research and Innovation Actions. This makes them an accessible, low-friction partner: experienced in big consortia dynamics but without the overhead of project leadership.

Despite only 5 projects, RE:LAB has built a broad network of 131 partners across 20 countries, indicating participation in large pan-European consortia. Their network spans most of the EU automotive and electronics research ecosystem.

Why partner with them

What sets them apart

RE:LAB sits at the intersection of human factors and automotive technology — a niche that few SMEs occupy with this depth. While many companies work on sensors or AI for vehicles, RE:LAB brings the human-centered design perspective: how drivers understand, trust, and collaborate with automated systems. For any consortium needing to bridge the gap between advanced vehicle technology and real driver acceptance, RE:LAB fills a role that pure engineering firms cannot.

Notable projects

Highlights from their portfolio

  • AutoMate
    Largest funding (EUR 453,750) and most thematically central — directly addresses RE:LAB's core expertise in human-machine teaming for automated driving.
  • NextPerception
    Most recent project (2020–2023) showing RE:LAB's evolution into smart sensors, edge computing, and explainable AI — signals their future direction.
  • PRYSTINE
    Entry point into semiconductor and embedded computing architectures for safety-critical automotive systems, despite a small budget (EUR 28K), indicating a targeted specialist contribution.
Cross-sector capabilities
Automotive AI and explainable AIHuman factors and UX design for safety-critical systemsSmart sensor integration (applicable beyond transport to manufacturing, health)Edge computing and distributed intelligence
Analysis note: Profile is based on 5 projects with moderate keyword coverage. RE:LAB's exact service offering (consultancy vs. product development vs. research) is inferred from project themes — their company name and project roles suggest a design/research lab, but without website data this cannot be confirmed. The RESOLVE project lacks keywords, limiting early-period analysis.