The hub is expected to employ around 200 technical specialists that will be responsible for enhancing the MyToyota and LexusLink+ applications, which are used by more than two million European customers to access remote vehicle functions, battery‑charge monitoring and a wide range of ownership‑convenience services. The team will also contribute to the development of the cloud infrastructure that enables connected services for Toyota and Lexus vehicles in Europe, while additionally providing cybersecurity support.

“Toyota has been present in Poland for 35 years and this project strengthens Toyota’s commitment in this market,” said Thierry Boitel, vice president of research and development, Toyota Motor Europe. “Poland was selected as the location for the Toyota Digital Hub due to its strong pool of highly skilled specialists and the presence of leading technical universities.”

The establishment of the Toyota Digital Hub marks a further investment by Toyota in Wrocław. Since 2015, the Shared Services Centre has operated in the city, providing accounting and tax advisory services for all Toyota units in Europe.

“The Toyota Digital Hub is set to play an important role in Europe by expanding Toyota’s software development capabilities and positioning Toyota Motor Europe as a trusted partner in future global software‑defined vehicle development,” said Luis Lopes, vice president information and technology, Toyota Motor Europe.

“The decision to locate Toyota Digital Hub in Poland confirms our country’s strong investment appeal and its solid position as a hub for modern technologies,” said Andrzej Domański, Polish minister of finance and economy.

Recent news, Pony AI launches self-improving physical AI engine PonyWorld 2.0

To address this, Pony.ai has launched PonyWorld 2.0, the latest upgrade to its proprietary world model and a major advancement in the core training system behind its autonomous driving stack. The key advancement is its ability to identify its own weaknesses and guide targeted improvements. The upgrade introduces three core capabilities: self-diagnosis, targeted data collection in areas where performance is still limited and more efficient training focused on the most challenging cases.

Since 2020, Pony.ai has developed PonyWorld not as a basic synthetic data simulation tool, but as a full reinforcement learning system spanning cloud-based training and in-vehicle deployment. As the system has matured, improving the Virtual Driver has increasingly depended on enhancing the world model that trains it, particularly its ability to accurately represent real-world dynamics and interactions.

“PonyWorld 2.0 is an important step toward a more self-improving approach to autonomous driving development,” said Dr Tiancheng Lou, founder and CTO of Pony.ai. “As AI systems become more capable, they can play a larger role not only in learning to drive, but also in guiding their own improvement – making L4 development more scalable over time.”

PonyWorld 2.0 is already being applied across Pony.ai’s L4 driverless fleet and R&D system.

After validating robotaxi unit economics in two major Chinese cities with its seventh-generation fleet, the company is accelerating commercialization across China and international markets, targeting over 3,000 vehicles and 20 cities globally by year-end, nearly half overseas.

New training for scalable autonomy

As driverless operations grow from hundreds of vehicles to thousands and beyond, it becomes both harder and more important to keep improving safety and performance without regression.

Pony.ai defines a true world model as more than a tool for generating virtual scenarios. It must establish what good driving means, accurately model the physical world and replicate realistic interactions between the AI driver and other road users across both edge cases and normal traffic.

PonyWorld 2.0 is designed to make that process more efficient. A structured intention layer enables the model to form an internal representation of why it made a decision, making large-scale self-diagnosis possible. The system can review its own decisions, compare intent with outcomes and identify the types of scenarios where additional learning is needed. It can then generate targeted data-collection tasks for human teams, which gather the relevant real-world samples, feed them back into the cloud, and help recalibrate the world model for more precise training.

In the early stages of autonomous driving, progress depended heavily on human engineers to design rules, label data and decide what to train next. PonyWorld 2.0 points to a different model. As AI systems become more capable, they can take over more of their own improvement cycle, while human engineers increasingly serve as operators of a directed data-collection loop shaped by the system’s own learning needs.

Pony.ai believes PonyWorld 2.0’s approach, combining high-accuracy world modeling, self-diagnosis and targeted improvement, could apply to broader physical AI systems that must learn safely and efficiently in real-world environments, extending beyond autonomous driving.

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The hydrogen-powered trucks use high-pressure, direct injection (HPDI) technology, which the company says improves energy efficiency, reduces fuel consumption and increases engine power compared with conventional hydrogen combustion engines. HPDI works by injecting a small amount of ignition fuel at high pressure to enable compression ignition before hydrogen is added. Volvo already uses this technology in its gas-powered trucks, with over 10,000 units sold worldwide.

The hydrogen engine technology is derived from its diesel powertrain, delivering “diesel-like performance” while substantially cutting CO₂ emissions, the auto maker said.

“On-road testing is an important milestone for our hydrogen combustion engine trucks. I feel confident that they will be the best in the industry if you look at fuel efficiency, power, torque and drivability,” said Jan Hjelmgren, head of product management at Volvo Trucks. “Customers will be able to operate them just like diesel trucks. Our experience with HPDI technology in more than 10,000 gas-powered trucks is strong proof of its performance.”

Hydrogen combustion engine trucks will be especially suitable over longer distances and in regions where there is limited charging infrastructure or time for the recharging of battery-electric trucks.

Volvo trucks with combustion engines powered by green hydrogen have the potential to deliver net-zero CO₂ well-to-wheel when using renewable HVO as ignition fuel. They are categorized as Zero Emission Vehicles (ZEV) under the agreed EU CO₂ emission standards.

The hydrogen-powered combustion engine trucks will complement the company’s offering of other alternatives, such as battery electric trucks, fuel cell electric trucks and trucks that run on renewable fuels, like biogas and HVO (hydrotreated vegetable oil).

“We see great potential for hydrogen combustion engine trucks and they will have a role to play in the transformation to zero-emission transport,” said Hjelmgren. “Several technologies will be needed to decarbonize. As a global truck manufacturer we offer a variety of decarbonization solutions and help our customers choose the best alternative based on transport assignment, available infrastructure and green energy prices.”

Related news, Swiss Council for Accident Prevention joins Euro NCAP as affiliate member

“Euro NCAP is delighted to have BFU as an affiliate member of the car program. Their strong expertise in accident research and prevention, together with a unique Swiss perspective and their contribution to our technical working groups, will help ensure that our ratings continue to reflect real-world risks and drive meaningful vehicle safety improvements,” said Dr Michiel van Ratingen, secretary general at Euro NCAP.

As an affiliate member, BFU will actively participate in Euro NCAP’s technical working groups, contributing to shared goals in vehicle safety and the long-term development of assisted and automated driving technologies. The organization will provide Swiss accident insights and national data, combining expertise in engineering, human factors and behavioral science to identify where safety systems can prevent severe crashes.

BFU will also support the alignment of Euro NCAP’s assessments with evolving regulations and promote road safety and public acceptance of new technologies through its national activities. The collaboration will further enable BFU to contribute to the development of Euro NCAP’s future strategic roadmaps.

“At BFU, we are very pleased to become a new member of Euro NCAP. Euro NCAP’s independent safety ratings provide important impetus for manufacturers, policymakers and consumers alike. As BFU, we aim to contribute to ensuring that new vehicle technologies realise their full potential in preventing accidents and reducing serious injuries. We see this membership as a major opportunity to amplify the impact of our work,” added Dr Stefan Siegrist, director, BFU.

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To address this, OmniTrust and Synopsys have partnered to help development teams identify and fix critical security issues earlier in the embedded systems lifecycle by enabling secure boot validation within virtual ECU (vECU) environments.

The collaboration aims to close this gap between software and hardware by bringing security validation into the early stages of development. By combining Synopsys’s vECU solutions with OmniTrust’s embedded trust capabilities, teams can run production firmware in virtual environments and validate both expected and tampered scenarios long before hardware is ready.

This approach enables developers to observe and test secure boot behavior as part of standard software workflows, including automated regression testing. As a result, teams can detect vulnerabilities sooner, reduce integration risks and accelerate time to market.

OmniTrust provides core embedded security capabilities such as secure boot policy validation, firmware signature verification and cryptographic trust anchor management. When integrated into Synopsys’s virtual development environments, these capabilities enable developers to treat security enforcement as a continuous, testable part of modern software development.

“As automotive architectures become increasingly software-defined, automotive companies must integrate security validation as part of their software development,” said Marc Serughetti, vice president, product management and markets group, Synopsys. “Our collaboration with OmniTrust enables development teams to leverage electronics digital twins and integrate trust validation into their software development before hardware is available. Our joint customers can accelerate time to market and innovation with greater confidence in the security of their systems.”

“Secure boot and firmware authenticity are essential for system integrity, yet often checked later in development,” said Albert Rooyakkers, SVP of business development at OmniTrust. “Synopsys virtual ECUs enable early security validation, automated testing and authenticated software deployment in production.”

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The new steering feel benefits driving dynamics, maneuvering and parking. With steer-by-wire, the steering effort required from the driver can be further reduced and the driver no longer needs to adjust their grip on the steering wheel when turning. Vibrations caused by uneven road surfaces, which were previously transmitted to the driver via the steering wheel, can now be eliminated.

Steer-by-wire also reshapes the interior. A flatter steering wheel rim opens up space for the driver, improving their view of the driver display and making it easier to get in, or out.

Suspension specialists have tuned the steering ratio for different driving conditions, which works in conjunction with standard rear-axle steering – at higher speeds, the rear wheels steer in the same direction as the front wheels to improve stability.

The steer-by-wire system has completed over 1,000,000km of testing (over 621,000 test miles) on test benches, test tracks and in overall vehicle validation in road traffic. To ensure it meets the brand’s strict safety standards, the design uses a redundant system architecture in addition to high-precision sensors and powerful control units. These two signal paths ensure steering capability is always guaranteed. Lateral control is also possible through rear-axle steering and targeted wheel-specific braking interventions via the ESP.

In addition to the optional steer-by-wire system, the Mercedes‑Benz EQS continues to be equipped with electromechanical steering as standard.

Airbag structure and safety standards

In the EQS, Mercedes‑Benz uses the steer-by-wire technology for a flattened, more compact steering wheel and combines it with a newly developed airbag structure. Since the airbag can no longer support itself on a closed steering wheel rim, an internal support and folding architecture takes over the controlled shaping during deployment.

The airbag’s routing, folding pattern and mounting points are designed to ensure stable and consistent deployment, even without the upper steering wheel rim. The system remains integrated into the steering wheel hub and meets the brand’s safety requirements despite the revised design.

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The agenda covered simulation, data management, diagnostics and test automation, with discussions underscoring interoperability, simulation credibility and data‑centric development. These themes emerged across sessions on ASAM standards OpenDrive, OpenScenario, OSI, ODS, SOVD, XIL, OTX, CMP, and digital‑twin integration through the Asset Administration Shell (AAS).

Cross-standard harmonization and the need to align toolchains across domains, suppliers and development stages remain priorities, with speakers citing inconsistent interpretations of ASAM specifications as a cause of fragmentation. Updates included co‑simulation workflows, higher‑fidelity OpenX modeling, interoperable data management, modular measurement architectures, digital‑twin concepts, ODD taxonomies and simulation‑quality assessment.

Regional updates and roadmap

Updates from ASAM’s ambassadors in China, Korea, Japan and the USA were shared by CATARC technical director Bolin Zhou, IVH CEO Daeoh Kang and ASAM Japan representative Yoshiaki Shoi. Priorities included co-simulation and merging standards in China; sensor simulation and ASAM SOVD in Japan; and study groups in South Korea supporting global application of standards, such as ASAM OpenDrive.

BMW IT specialist Michael Schwarzbach outlined the 2026 Technical Steering Committee roadmap, highlighting ODD-based testing, collaboration improvements, harmonized standards and a common ontology.

OpenX updates

ASAM technology managers Ahmed Sadek and Yash Shah (below) presented ASAM OpenX updates. Previous OpenX models defined traffic participants independently, creating toolchain inconsistencies. New concepts for ASAM’s simulation standards include combining ASAM OpenDrive with the Quantifying Simulation Quality (QSQ) initiative, and ASAM OSI adding high-fidelity sensor simulation support, such as spectral irradiance and radar waveforms. “No standard is developed in a silo,” Shah said. “We think feature-based, then collect standards experts for harmonization.”

Simulation integration

Clemens Linnhoff, founder and CTO at Persival, demonstrated co-simulation between Scenario Player and Sensor Model, with all assets linked in ASAM OpenScenario as a single source of truth.

ASAM ODS, MDF, CMP and digital twins

Technica Engineering technical fellow and head of media relations Lars Völker outlined Capture Module Protocol (ASAM CMP) improvements. “Before 2022, in‑vehicle DAQ was vendor‑specific and non‑modular. CMP 1.0 introduced modular DAQ and support for heterogeneous technologies. New use cases support raw Ethernet and define message transport across the vehicle system. Scaling HIL and test setups enables an elastic measurement infrastructure.”

Using slides from the Industrial Digital Twin Association (IDTA), Stefan Romainczyk, senior product manager at Peak Solution, said, “Today’s digital twins are proprietary and one lifecycle element, whereas future twins have a complete lifecycle with efficient scaling. With ASAM ODS, AAS can create a comprehensive data profile for digital twins – standardized interoperability improves predictive maintenance, time and cost.”

SDV diagnostics updates

Following the launch of ASAM SOVD 1.2 in February with 29 global OEMs and suppliers, Vector Informatik manager Tobias Weidmann presented at the seminar the latest activities in the development of the standard. ISO 17978-4 Remote Access covers how to access vehicle information via authorization and defining the access path; possibilities include functional communication, new access methods to log information via a streaming interface, and large file handling via third-party service providers.

ODD taxonomy and AV deployment

Andreas Richter (below), engineering program manager – Operational Design Domains, Volkswagen Commercial Vehicles, outlined ASAM OpenODD implementation within MOIA America, VW’s autonomous‑mobility affiliate, formerly known as ADMT. VW Commercial Vehicles is the first group brand to introduce SAE Level 4 autonomous driving using the ID Buzz platform with integrated third‑party automated‑driving systems. Testing is underway in Hamburg and Munich in Germany, Oslo in Norway, and in Austin, Texas.

Richter noted that the industry is not always clear on ‘ODD’, ‘taxonomy’, ‘service area’ and ‘scenarios’. “To bring autonomous driving to life, we have to agree on the same terms,” he said, calling for ODD definitions that are unambiguously readable by humans and machines, supported by geodata analysis and enterprise‑ready tools for ODD and scenario management.

“ASAM OpenODD offers a taxonomy-agnostic, modular model to represent ODDs in different technical formats, [and] support development, storage and processing in a machine and human-readable way,” he explained. “Originally intended for scenario-based testing, ODD definition is now required in more process steps for developing, testing, approving and operating ADS. The ODD as a single point of knowledge ensures OEMs and authorities share definitions.”

VW’s internal elaborated ODD taxonomy demonstrates how modular definitions support understanding across organizations and regulators. The ODD management toolchain validates taxonomies and module definitions, supports multilingual concepts and connects to scenario‑creation and requirements‑management workflows. Using STIEF (scenario-accompanied, text-base, iterative evaluation of automated driving functions), engineers can preload scenario definitions via natural‑language inputs, while geodata analysis identifies new operational areas and generates challenging test routes.

Simulation credibility

In an ASAM QSQ update, Automotive Artificial Intelligence’s general manager Basit Khan highlighted the challenge of trusting simulation for virtual homologation.

“No standardized quality metrics exist for simulation frameworks, especially ADAS/AD sensors,” he said. “Many contributors – OEMs, suppliers, research and tool vendors – have different priorities and vocabulary. Through working groups spanning use cases, camera, lidar, radar and vehicle dynamics, our goal is to drive cross-sector innovation by building a unified standard upon proven, existing components. By harmonizing established concepts, we can create a practical framework that ensures simulation reliability without reinventing the wheel.”

Research and collaborations

Fraunhofer IOSB’s research group leader Jens Ziehn reported on how ASAM helps scale R&D results, for example where ASAM’s OpenDrive, OpenLabel and OpenScenario are used to deliver interoperability and reusable data across diverse acquisition sources in the AVEAS Brave10K project to scale automated driving in public transportation.

SAE’s Ed Straub outlined ASAM’s collaboration with SAE J3259 (ODD taxonomy), while ASCS’s Alexander Walsh emphasized the complementary role of ASCS and ASAM in simulation, AI and HPC.

Industry collaboration continues at Vehicle Tech Week Europe

Vehicle Tech Week Europe, represented by ADAS & Autonomous Vehicle International, Automotive Testing Technology International and Automotive Interiors World, served as ASAM’s media partner.

Launching this June in Stuttgart, Germany, the three-day ‘festival of engineering’ will unite the full vehicle‑technology ecosystem – from EV and battery testing to autonomous‑vehicle development, UX/HMI, materials engineering and in‑cabin innovation – creating cross‑disciplinary value at a time when the industry faces intense technological and regulatory pressure.

ASAM is an association partner of Vehicle Tech Week Europe, and Yash Shah and Andreas Richter will continue their discussions about ASAM OpenX evolution and ODDs at the event.

Learn about Vehicle Tech Week’s partnerships here.

Find out more about ASAM’s International Conference, which will take place on November 4 and 5, 2026.

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Guided by a shared vision of fully automated, CI/CD-connected development environments based on open standards and modern software practices, the suppliers aim to make HIL testing truly ‘soft’ – meaning software-driven –  as well as being flexible, scalable and seamlessly deployable. This is central to supporting the evolution toward software-defined vehicle architectures.

Gianluca Vitale, software global unit manager at AVL, said, “At AVL, our software strategy continues to evolve with a clear focus on accelerating development through end-to-end solution responsibility, positioning ourselves as an open integrator that enables customers to move faster and more efficiently.”

“Together with VCarSystem, we are introducing disruptive, end-to-end approaches that radically speed up software release cycles and E/E integration, offering a new benchmark for testing efficiency and development agility,” said Qi Chen, president of VCarSystem. “Partnering with AVL marks a significant step toward reshaping the future of vehicle development in the era of software-defined vehicles.

“As the industry shifts from hardware-bound architectures to software-driven mobility platforms, validation must evolve at the speed of software. Together with AVL, we are building an open, scalable testing ecosystem that accelerates function validation, shortens development cycles and enables continuous innovation throughout the SDV lifecycle – creating long-term sustainable value for our global customers and partners.”

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McLaren can now explore more of the design space, run complex tests and simulations faster, and tune every component with greater precision. The platform also reduces manual, repetitive tasks through leveraging engineering agents.

Nick Collins, CEO of McLaren Automotive, explained, “This is a genuine strategic transformation for the business. By continuously compounding and optimizing our data, our intelligence and our engineering philosophies at unimaginable speed, we can deliver product developments at pace, while protecting the DNA of our company.”

The Rescale system is trained exclusively on McLaren data and uses Nvidia AI infrastructure, AI physics models and agentic engineering libraries. It connects McLaren’s CAE, systems engineering and design into a unified AI data fabric that continuously learns and optimizes, while adhering to McLaren’s quality standards and performance characteristics. 

“Our foundational platform allows McLaren to leverage the latest agentic engineering technologies powered by Nvidia AI infrastructure, providing a compounding source of competitive advantage for engineers in critical areas of product development, such as carbon materials, structural dynamics, durability and ultimately the programmatic scaling of engineering excellence across every discipline, to deliver world-class products faster,” said Joris Poort, founder and CEO of Rescale.

Tim Costa, VP and GM, computational engineering at Nvidia, said, “The future of automotive engineering is being rewritten by agentic AI and advanced simulation, turning decades of design heritage into a live, generative engine that accelerates every stage of the vehicle lifecycle. By integrating Rescale’s unified control layer with Nvidia’s open models for agentic AI and accelerated physics, McLaren is compressing years of traditional simulation into hours of real-time design exploration.”

“The T.50s is the most engaging car I’ve ever drive,” said Franchitti. “For pure fun factor, it surpasses all other track-only models, my favourite supercars of all time, and even the race cars I drove to multiple world championship wins. Gordon set out to create the greatest on-track driving experience ever. The team has more than delivered. The feedback, responsiveness, performance, sound, visibility, braking, stability … everything … it’s just perfect.”

The Bahrain circuit was chosen for its extreme thermal and mechanical stresses, enabling engineers to evaluate braking performance, tire wear, low-grip handling and high-speed stability. During testing, the T.50s reached 184 mph, experienced 2.7g lateral acceleration in corners and endured 3g longitudinal forces under braking. The lap demonstrated the production-readiness of the car and confirmed that aerodynamic and chassis setups met GMA’s specifications.

Professor Gordon Murray, CBE, executive chairman, Gordon Murray Group, said, “This car was never about setting lap times. We simply designed the lightest, optimally powered, most driver-centric track car possible – with the right formula, speed comes naturally. T.50s is designed from the ground up to deliver the greatest possible on‑track driving experience, without compromise.”

Each T.50s is named in tribute to one of Murray’s first 25 Grand Prix victories, with the Niki Lauda model honoring the three-time Formula 1 World Champion. The car is powered by a bespoke 3.9-liter Cosworth GMA V12 producing 772ps at 11,500rpm, with revs up to 12,100rpm. A six-speed paddle-shift Xtrac gearbox, central driving position and fully adjustable aerodynamic package generating up to 1,200kg of downforce combine with a carbon-fiber monocoque and unique race-optimized systems to deliver an immersive track-focused experience.

“Naming the car after Niki was deeply personal. He was a great friend and a remarkable racing driver, and I believe he would have appreciated the purity, focus and engineering integrity that define the car we named in his honour,” said Professor Murray.

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