Core contributor across TrustVehicle, HEADSTART, Hi-Drive, SHOW, and CPS4EU — all centered on vehicle automation at various levels.
VALEO VISION SAS
Valeo's automotive sensing division, contributing camera, LiDAR, and perception technology to Europe's largest automated and connected driving research projects.
Their core work
Valeo Vision is the sensing and visibility division of Valeo, one of the world's largest automotive suppliers. They develop advanced driving assistance systems including cameras, LiDAR, lighting, and perception software that enable vehicles to see, understand, and navigate their environment. In H2020 projects, they contribute industrial-grade automotive sensor technology and automated driving capabilities to large European research consortia focused on connected, cooperative, and automated mobility.
What they specialise in
Major role in 5GMED (their largest funded project at EUR 1.4M), focused on 5G deployment for connected transport in the Mediterranean corridor.
Participated in CPS4EU both as partner and third party, contributing to CPS architecture for automated driving applications.
SHOW project explored automated road transport for shared mobility, MaaS, and accessibility — extending beyond vehicle hardware into mobility services.
HEADSTART focused on harmonized testing methods for automated road transport; TrustVehicle addressed trustworthiness in mixed-traffic conditions.
How they've shifted over time
Their early H2020 engagement (2017–2019) focused on foundational automated driving challenges: vehicle trustworthiness in adverse weather, testing methodologies, cybersecurity, and cyber-physical system architectures. From 2020 onward, their focus shifted decisively toward deployment and real-world integration — 5G-enabled corridors, shared mobility services, MaaS, and large-scale cross-border driving demonstrations. This trajectory mirrors the industry shift from proving automated driving works in labs to making it function on real roads with real infrastructure.
Valeo Vision is moving from component-level R&D toward system-level integration of automated driving with 5G infrastructure and shared mobility services — expect future interest in vehicle-to-everything (V2X) and urban mobility projects.
How they like to work
Valeo Vision consistently joins as a participant, never leading as coordinator — typical for a large industrial partner that brings technology and testing capacity rather than project management. Their 214 unique partners across 21 countries indicate they operate in very large consortia (averaging 30+ partners per project), which is common for flagship Innovation Actions in transport. They function as an anchor industrial partner that lends credibility and real-world validation capability to ambitious EU mobility projects.
With 214 unique consortium partners spanning 21 countries, Valeo Vision has one of the broader networks you'd expect from a Tier-1 automotive supplier in EU research. Their collaborations are pan-European with no narrow geographic cluster, reflecting the cross-border nature of transport and mobility projects.
What sets them apart
As a division of a global Tier-1 automotive supplier, Valeo Vision brings something most research partners cannot: mass-production sensor and camera technology already deployed in millions of vehicles. This means their contributions to R&D projects are grounded in manufacturing reality, not just prototypes. For consortium builders, partnering with Valeo Vision signals strong industrial exploitation potential — a factor that scores well in EU proposal evaluations.
Highlights from their portfolio
- 5GMEDTheir largest H2020 investment (EUR 1.4M) — a strategic bet on 5G infrastructure for connected automated transport along Mediterranean cross-border corridors.
- Hi-DriveOne of Europe's flagship automated driving piloting projects, running large-scale cross-border demonstrations toward higher automation deployment.
- SHOWMarks Valeo Vision's expansion beyond vehicle technology into shared mobility ecosystems, MaaS, and social inclusiveness in transport.