If you are an automotive OEM or Tier-1 supplier struggling with the enormous cost of validating ADAS and self-driving features — this project developed a virtual test and validation platform that cuts testing effort by at least 50% compared to classical methods. The integration platform supports both real-time and non-real-time simulation models, letting you reuse validation scenarios across at least 3 development stages instead of starting from scratch each time.
Cutting Autonomous Vehicle Testing Time in Half with Virtual Validation
Imagine you're building a self-driving car and need to prove it's safe — but driving billions of test kilometers on real roads would take decades and cost a fortune. This project built a virtual testing toolbox that lets engineers simulate dangerous scenarios on a computer instead of crashing real prototypes. It works not just for cars, but also for drones, trains, ships, and medical robots. The goal: cut testing effort by half while making autonomous systems ten times more dependable.
What needed solving
Companies developing autonomous vehicles, drones, trains, and ships face a massive validation bottleneck: proving these systems are safe enough requires billions of test scenarios, and running them all on physical prototypes is prohibitively expensive and slow. Classical testing methods simply cannot keep up with the complexity of autonomous systems that must handle every possible real-world situation. Without faster, smarter validation, getting safe autonomous products to market takes years longer than it should.
What was built
The project delivered a modular ACPS integration platform for online/offline simulation model coupling (demonstrated in prototype versions v1 and v2), along with physical sensor signal stimuli generators and a cross-domain validation environment. Across 75 deliverables, the consortium produced virtual testing tools, coverage-oriented test selection methods, and proposals for standardized validation procedures for autonomous systems.
Who needs this
Who can put this to work
If you are a drone or avionics manufacturer facing regulatory certification bottlenecks for autonomous flight systems — this project created sensor signal stimuli generators demonstrated for at least 3 physical stimuli types, letting you test how your systems react to real-world sensor inputs without expensive flight campaigns. The validation methods target a malfunction probability of 10E-9 per hour, matching aviation-grade safety requirements.
If you are a rail signaling company or maritime autonomy developer facing lengthy certification cycles — this project built cross-domain validation tools that work across automotive, rail, and maritime. With 73 partners from 16 countries already aligned on open standards, adopting these methods means your validation approach speaks the same language as regulators and industry peers across Europe.
Quick answers
What would it cost to adopt this validation approach?
The project did not publish specific licensing or adoption costs. However, the tools were designed around open standards to speed up adoption, suggesting the intent is broad accessibility rather than proprietary lock-in. Contact the coordinator AVL LIST GmbH for current licensing terms.
Can this scale to full production-level testing?
Yes — the project specifically targeted industrial-scale validation. With 43 industrial partners including major automotive and aerospace companies, the tools were designed for and tested against real production requirements. The platform supports rapid re-qualification with scenario reuse across at least 3 development stages.
What about intellectual property and licensing?
As an ECSEL Innovation Action with 73 partners, IP is likely distributed across the consortium under a joint undertaking agreement. AVL LIST GmbH as coordinator would be the first point of contact. Open standards were an explicit project objective, which typically means core methods are accessible.
Does this meet current automotive and aviation safety regulations?
The project targeted a malfunction probability of 10E-9 per hour, which aligns with the strictest safety integrity levels in automotive (ASIL-D) and aviation. The explicit goal was to propose standardized validation procedures for highly automated systems that regulators could adopt.
How long would integration take for an existing test infrastructure?
The ACPS integration platform was built as a modular system supporting both online and offline model coupling, which suggests it can connect to existing simulation environments. Based on available project data, the platform was demonstrated across multiple domains, indicating flexibility in integration.
Is there ongoing support or a community around these tools?
The project ended in May 2019, but it aimed to establish an eco-system for validation and verification across European industry. The project website at enable-s3.eu and the broad 73-partner consortium suggest a community of practice that may continue beyond the funded period.
What domains has this actually been tested in?
The project demonstrated results in five domains: automotive, aerospace, rail, maritime, and healthcare. With 43 industrial partners providing real use-cases, these were not academic exercises but industry-driven validation scenarios with realistic requirements.
Who built it
This is one of the largest EU project consortia you'll encounter: 73 partners from 16 countries, with a striking 59% industry ratio (43 industrial partners). AVL LIST GmbH, the Austrian coordinator, is a globally recognized automotive testing and simulation company — exactly the right lead for a validation project. The consortium includes 18 SMEs alongside major players, spanning the full automotive-aerospace-rail-maritime value chain. With 16 universities and 12 research organizations backing the industrial partners, this is a mature, execution-oriented group. Countries represented include all major European automotive and aerospace hubs: Germany, France, Italy, Netherlands, and the Nordics. For a business looking to adopt these validation tools, the breadth of this consortium means the technology has been stress-tested against diverse industrial requirements, not just one company's needs.
- AVL LIST GMBHCoordinator · AT
- VALEO SCHALTER UND SENSOREN GMBHparticipant · DE
- EVIDENCE SRLparticipant · IT
- INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUEparticipant · FR
- SERVA TRANSPORT SYSTEMS GMBHparticipant · DE
- GMVIS SKYSOFT SAparticipant · PT
- AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBHparticipant · AT
- RENAULT SASparticipant · FR
- TECHNISCHE UNIVERSITAET GRAZparticipant · AT
- UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLINparticipant · IE
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIAparticipant · ES
- FZI FORSCHUNGSZENTRUM INFORMATIKparticipant · DE
- NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNOparticipant · NL
- TOYOTA MOTOR EUROPE NVparticipant · BE
- TEKNOLOGIAN TUTKIMUSKESKUS VTT OYparticipant · FI
- IXION INDUSTRY AND AEROSPACE SLparticipant · ES
- SafeTRANS e.V.participant · DE
- FUNDACION TECNALIA RESEARCH & INNOVATIONparticipant · ES
- INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUMparticipant · BE
- AVL DEUTSCHLAND GMBHparticipant · DE
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYONthirdparty · FR
- REDEN B.V.participant · NL
- IBM IRELAND LIMITEDparticipant · IE
- UNIVERSITAT LINZparticipant · AT
- AIRBUS DEFENCE AND SPACE GMBHparticipant · DE
- LINZ CENTER OF MECHATRONICS GMBHparticipant · AT
- INSTITUTO SUPERIOR DE ENGENHARIA DO PORTOparticipant · PT
- NXP SEMICONDUCTORS GERMANY GMBHparticipant · DE
- DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EVparticipant · DE
- VIRTUAL VEHICLE RESEARCH GMBHparticipant · AT
- SIEMENS INDUSTRY SOFTWARE NVparticipant · BE
- OFFIS EVparticipant · DE
- NAVTOR ASparticipant · NO
- ZILINSKA UNIVERZITA V ZILINEparticipant · SK
- MAGILLEM DESIGN SERVICES SASparticipant · FR
- UNIVERSITY OF SOUTHAMPTONparticipant · UK
- CESKE VYSOKE UCENI TECHNICKE V PRAZEparticipant · CZ
- HITACHI RAIL GTS AUSTRIA GMBHparticipant · AT
- ROHDE & SCHWARZ GMBH & CO. KOMMANDITGESELLSCHAFTparticipant · DE
- DANMARKS TEKNISKE UNIVERSITETparticipant · DK
- MICROELETRONICA MASER SLparticipant · ES
- PHILIPS ELECTRONICS NEDERLAND BVthirdparty · NL
- TWT GMBH SCIENCE & INNOVATIONparticipant · DE
- TTTECH COMPUTERTECHNIK AGparticipant · AT
- INSTITUTO TECNOLOGICO DE INFORMATICAparticipant · ES
- TECHNISCHE UNIVERSITAT DARMSTADTparticipant · DE
- THALES ALENIA SPACE ESPANA SAparticipant · ES
- TTCONTROL GMBHparticipant · AT
- PHILIPS MEDICAL SYSTEMS NEDERLAND BVparticipant · NL
- TECHNISCHE UNIVERSITEIT EINDHOVENparticipant · NL
- AVL SOFTWARE AND FUNCTIONS GMBHparticipant · DE
- POLITECHNIKA GDANSKAparticipant · PL
- UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIAparticipant · IT
- UNIVERSIDAD POLITECNICA DE MADRIDparticipant · ES
- AALBORG UNIVERSITETparticipant · DK
- MARELLI EUROPE SPAparticipant · IT
- DENSO AUTOMOTIVE DEUTSCHLAND GMBHparticipant · DE
- GMV AEROSPACE AND DEFENCE SAparticipant · ES
AVL LIST GmbH (Austria) — a major automotive testing and simulation company. SciTransfer can facilitate an introduction to the right technical contact.
Talk to the team behind this work.
Want to explore how ENABLE-S3 validation tools could cut your autonomous system testing costs? SciTransfer can connect you with the right consortium partner for your specific domain. Contact us for a tailored briefing.