“It was a great start yesterday (May 19) with the launch of our smart prototyping concept with lots of positive feedback from customers and partners,” said Tanneke Reinders, executive VP at HBK. “From this morning’s presentations we really see ‘smart testing’ coming alive. The key is transforming from data creators to data interpreters – that’s the main shift for us. It’s about connecting data in one ecosystem. When we talk about data, especially the amount of data and fragmentation of it, we want to support.”

This year there are multiple tire-focused presentations, highlighting the critical role of the tire and its relationship with the vehicle. It seems tire and vehicle developers are working closer together than ever to refine their use of simulation and tighten the integration between the digital and real worlds. This was exemplified in the opening presentation by Alessandro Capobianco, R&D specialist for tire models and vehicle/DIL simulation at Bridgestone, and Eric Walter, vehicle dynamics CAE engineer at VW (both above), who provided an insight into their vehicle/tire co-development work, which has involved the sharing of a steering wheel model.

Another of ATTI’s highlights from the summit was the Nissan and Horiba Mira presentation (right), in which the two speakers, Leo May, lead simulation engineer, Nissan Motor Corp, and Stratos Stratoudakis, a consultant at Horiba Mira, detailed how they are working together to prioritize virtual development by moving it further forward in the cycle, with the ultimate aim of reducing development time by 25%.

Marc Hedrich, a development engineer at event exhibitor Team Rosberg Engineering, said, “We are presenting our expertise in providing simulation models. The focus for us is to learn new things because software is ever evolving and you don’t want to be left behind. I like this year’s approach of trying to get the best data and not the most. I’ve learned already how others such as Mercedes-AMG are using these tools. It’s cool to connect with companies that are doing similar things and others that are doing things we’ve never heard of.”

This morning concluded with a presentation from the rarely heard-from Tesla (top), which gave insights into the company’s NVH analysis using a simulator.

Francesco Calabrese who is attending as an exhibitor representing Fraunhofer ITWM as well as the institute’s spin-off, Virtual Tire Technologies, said, “It’s a good event to push the word for using more simulation with the goal of spending less money on prototypes. What I like is the excitement in this field as it grows – every year there are significantly more people which is a sign people are understanding the importance of it.”

More to come.

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In open-air trials in Andøya, Norway (September 2025), the software demonstrated an ability to suppress spoofed signals and maintain signal integrity, supporting more resilient positioning for safety-critical applications.

The trials were conducted as part of Jammertest, an internationally recognized test campaign hosted by Norwegian authorities to assess GNSS performance under realistic jamming and spoofing conditions.

Focal Point Positioning collected live RF data using a test vehicle equipped with a roof-mounted GNSS antenna and a LabSat 4 recorder, alongside an inertial measurement unit (IMU) and commercial off-the-shelf GNSS receivers. The recorded signals were then replayed into multiple receivers at the company’s Cambridge facility for further analysis.

Laurence Bennett, an algorithm engineer at Focal Point Positioning, explained, “Jammertest was an ideal opportunity to evaluate GNSS performance under realistic compromised conditions and understand how this technology can withstand the effects of spoofing.”

Bennett continued, “We demonstrated how Supercorrelation enables receivers to distinguish between genuine and inauthentic signals, improving resilience without the need for additional, complex hardware.”

Analysis of the results showed a clear performance difference between receivers with and without Supercorrelation processing. During meaconing attacks, where legitimate GNSS signals are rebroadcast to mislead receivers, conventional processing was unable to isolate the authentic line-of-sight satellite signal, which was overwhelmed by stronger, delayed spoofed signals. In these conditions, receivers risk tracking the false signal, potentially compromising positioning integrity.

In contrast, Supercorrelation processing was able to recover and track the authentic signal while significantly reducing the impact of meaconed signals. Supercorrelation uses long, motion-compensated coherent integration to strengthen genuine satellite signals and suppress delayed or inauthentic ones.

As a software-based approach, it can be deployed via firmware upgrade, enabling scalable integration across GNSS-enabled devices.

“As sectors such as automotive, mobile and critical infrastructure become more reliant on GNSS, resilience to this kind of disruption is becoming increasingly important,” added Bennett. “Spoofing and meaconing attacks pose a growing risk to positioning accuracy, particularly in safety-critical applications where compromised signals can have significant operational consequences.”

Focal Point Positioning plans to publish further technical analysis of its Jammertest 2025 results in the coming months, supporting ongoing collaboration with chipset partners.

In related news, Audi A2 e-tron racks up the miles during validation testing

In summary, rising demand could contribute to higher development costs for next-generation vehicle systems, such as autonomous driving, if the industry does not converge on interoperable standards.

According to TechInsights’ Automotive Ethernet – Architecture Change Drives Growth report, adoption of automotive ethernet is expanding rapidly but remains uneven across original equipment manufacturers (OEMs) and regions.

In response to the report, the OPEN Alliance has called for greater alignment around its specifications and best practices to reduce variability, limit duplicated integration effort and support more scalable deployments.

“Automotive ethernet is set for rapid yet uneven growth as new architectures, higher sensor bandwidth and emerging applications drive a near-tripling of ethernet sockets in vehicles by 2032,” said OPEN Alliance president Suma Prabhakara. “As regions like China grow in overall socket share but remain internally fragmented, the OPEN Alliance’s role in reducing variability and accelerating consistent, standards‑based adoption becomes even more important. We encourage OEMs and suppliers to align with our work and share their implementation experience.”

The report found that the automotive ethernet socket market is set to grow from approximately 962,000 sockets in 2025 to 3.42 million in 2032, with the average number of ethernet sockets per vehicle forecast to rise from 11 to 27 by 2030. However, the findings also note that a small group of advanced OEMs install 4.5 times more ethernet ports per vehicle than the rest of the market. This means that while adoption is growing across the market, the overall maturity levels are volatile and vary widely across different OEMs and regions.

“With so many new automotive ethernet technologies entering the market, the industry cannot afford fragmented approaches,” said OPEN Alliance board member Samuel Sigfridsson. “Standards-based implementation of automotive ethernet that has been tested according to OPEN Alliance’s test suites will ensure interoperability and prevent the costly divergence that slows innovation.”

The report combines a bottom-up socket forecast with qualitive validation from an industry survey spanning key semiconductor vendors, OEMs, Tier 1 suppliers, connector and harness suppliers and software companies.

According to the report, geopolitics is the top risk in terms of market destabilization. Researchers also found that the interplay of different technologies is set to shape the market’s trajectory – SERDES is expected to grow alongside, not be displaced by, ethernet, while time-sensitive networking (TSN) is projected to underpin nearly 50% of all ethernet-equipped vehicles by 2030. The report findings also highlight a major shift in automotive ethernet speed‑grade adoption, suggesting that automotive ethernet is prioritizing more high‑speed links, though adoption patterns remain uneven across OEMs and regions.

The report also provides an overview of application-level demands and potential plans for dispersion within the automotive market, along with a risk assessment overview.

The full report is available here

In related news, Kodiak AI announces autonomous trucking pilot in Canada

AGL SoDeV is an open-source reference platform for building software-defined vehicles. It combines the AGL Unified Code Base (UCB) with Linux containers, VirtIO, the Xen hypervisor, Zephyr RTOS and other Linux Foundation projects in a single pre-integrated package that runs on automotive systems-on-a-chip (SoCs), on virtual machines or in the cloud. SoDeV enables auto makers and suppliers to decouple software development from hardware availability, accelerating SDV time-to-market.

As the automotive industry moves toward software-defined vehicles (SDVs), demand is increasing for shared, open-source software platforms. AGL brings together auto makers, Tier 1 suppliers and technology companies to develop and maintain a common software stack to reduce fragmentation, shorten development timelines and support innovation across vehicle systems.

The addition of EMQ, Lineo Solutions, MediaTek, VA Linux Systems Japan and Very Good Ventures expands AGL’s expertise across areas including automotive semiconductors, connectivity, Linux engineering, in-vehicle user interfaces and embedded software tools that support large-scale SDV development.

“We’re excited to welcome these new members to the AGL community, each of which brings distinct and valuable expertise to the table,” said Dan Cauchy, executive director of Automotive Grade Linux. “The ecosystem around our SoDeV reference platform continues to grow, reflecting the breadth of innovation that open-source collaboration makes possible. The automotive industry is undergoing a fundamental shift to software-defined vehicles, and AGL is proud to be at the center of it.”

Available in latest AGL software release

An initial version of the AGL SoDeV reference platform is available in the latest AGL UCB software release, Ultimate Unagi, enabling developers to build and test an SDV system on Renesas Sparrow Hawk reference boards and cloud-based processor environments.

Announced in December 2025, the AGL SoDeV Reference Platform combines the AGL Unified Code Base (UCB) with multiple open-source projects hosted by the Linux Foundation to support the consolidation of ECUs, hardware abstraction through virtualization, and cloud integration for software-defined vehicles.

“The AGL platform represents exactly the kind of production-focused, community-driven approach to SDV software that our customers and partners need,” added Masahiro Sano, the chairman and CEO of Lineo Solutions.

In related news, Mayr Power Transmission to highlight advanced drivetrain testing solutions at Automotive Testing Expo Europe 2026

In the initial phase of work, Kodiak will pilot the use of its self-driving technology to transport timber from forest sites to one of West Fraser’s Alberta processing facilities in Western Canada later this year. Results of the pilot will be used to inform any future long-term deployment of Kodiak Driver-equipped trucks for commercial driverless operations.

Logging truck routes often involve challenging, remote resource roads with uneven and rough terrain. By leveraging the Kodiak Driver, West Fraser hopes to improve the safety of its logging transportation operations, address the industry-wide shortage of drivers and increase the consistency of its raw material supply to mills.

“Innovation that improves safety and sustainability has long been central to how West Fraser operates,” said Mark Cookson, woods operations manager, West Fraser. “This pilot gives us the opportunity to test autonomous technology that can help address driver shortages and enhance safety by reducing human exposure to the risks of remote, rough-terrain resource roads.”

The Kodiak Driver is designed to handle the complex variables seen in industrial trucking environments. Its modular technology is built to withstand the dust, vibration and extreme weather conditions typical in industrial environments, including the oil and gas and forestry sectors.

“We built the Kodiak Driver to be the most versatile autonomous system on the market, capable of handling everything from interstate highways to the toughest industrial environments, from arid West Texas to the forests of Western Canada,” added Don Burnette, founder and CEO of Kodiak. “Our work with West Fraser is the perfect opportunity to support our expansion into logging, because it is an industry leader with a deep understanding of the logistical complexities of timber. By bringing the benefits of autonomous trucking to the wood products industry, we are demonstrating that our technology can thrive in even the most demanding settings.”

FPInnovations, a private non-profit research and development center, facilitated the collaboration between Kodiak and West Fraser. Supported by federal and provincial governments as well as over 50 forest-product companies, FPInnovations brings decades of expertise in advancing transportation solutions that address the unique challenges of the Canadian forest sector.

“This is an important step toward making autonomous transportation in Canada’s forests a reality. The adoption of new key technologies is critical for the Canadian forest sector to remain competitive,” said Christoph Schilling, program manager transportation for FPInnovations. “Deploying these technologies strategically, safely, with real operational purpose and in close collaboration with industry, technology providers and regulators will be crucial for its adoption.”

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“The road hazard service from Bosch increases road safety while also increasing the ease of driving,” said Dr Markus Heyn, a member of the board of management at Bosch and chairman of the mobility business sector. “Our cloud-based service is a tangible win for our customers because it predicts and informs drivers, whether they are in a car or a truck, of hazards on the route and helps them avoid critical situations.”

Bosch launched its road hazard service in June 2024 with a European vehicle manufacturer, followed six months later by integration from a major commercial vehicle manufacturer. The cloud-based system has since been gradually rolled out and is now available in millions of vehicles across Europe and the US. The service has also been used in some BMW Group vehicles since March 2026, including the iX1, iX2, iX3, X3 and several Mini vehicles.

One distinguishing feature of the Bosch technology is that vehicle manufacturers can adjust the system’s sensitivity, including warning thresholds, to match their own specifications and brand preferences. The system can also alert drivers to hazards such as accidents, abandoned vehicles, heavy rain with hydroplaning risk, snow and strong winds.

The company said it is the only provider currently offering a cloud-based wrong-way driver warning system, used by at least one European high-volume vehicle manufacturer. The feature can be purchased as part of Bosch’s road hazard service package or as a standalone option. It is designed to give drivers early warnings of wrong-way vehicles, allowing more time to react before these come into view.

The wrong-way driver warning can be displayed either in the vehicle cockpit or on a smartphone for drivers whose vehicles do not have an integrated warning system. The feature is available through a range of smartphone apps offered by Bosch partners.

Smart data mix

The reliability of the road hazard service is based on a smart fusion concept. Bosch combines anonymized real-time data from a worldwide fleet of millions of connected vehicles with information from third-party providers such as weather services and road operators. Together, these sources provide a highly precise, current overview of road conditions, which forms the basis for reliable warnings. Driver assistance systems such as adaptive cruise control (ACC) and emergency braking assist can also use the predictive warnings to respond more safely and precisely.

In practice, an algorithm continuously analyzes and combines the incoming vehicle data, such as control interventions by the electronic stability program (DSC) and the activity of the windshield wipers. If the system determines, for example, that many vehicles in one region are using the windshield wipers on the highest setting and weather data is reporting heavy rain, it concludes that there is a risk of hydroplaning. Affected drivers then receive an early warning and can adjust their speed. The quality of the predictions is continuously validated by Bosch’s test fleet, which is equipped with special sensors. In addition, external sources such as roadside webcams verify the emitted warnings.

Bosch has also introduced a connected speed limit system designed to display current speed limits directly to drivers. It uses connected data services to identify changing speed limits, including temporary or conditional restrictions in construction zones, during wet-weather conditions or at specific times of day.

In related news, 2026 Tesla Model Y becomes first vehicle to meet NHTSA’s new ADAS safety criteria

“Today’s announcement marks a significant step forward in our efforts to provide consumers with the most comprehensive safety ratings ever,” said NHTSA administrator Jonathan Morrison. “By successfully passing these new tests, the 2026 Tesla Model Y demonstrates the lifesaving potential of driver assistance technologies and sets a high bar for the industry. We hope to see many more manufacturers develop vehicles that can meet these requirements.”

The 2026 Tesla Model Y vehicles manufactured on or after November 12, 2025, successfully met the rigorous criteria for four newly integrated advanced safety tests: pedestrian automatic emergency braking, lane-keeping assistance, blind-spot warning and blind-spot intervention.

In related news, Kodiak AI and Bosch test hardware components for autonomous trucking platform

Kodiak is testing and validating camera samples from Bosch and has integrated early prototype sensors into its SensorPods, which house autonomous driving hardware. The company is also evaluating Bosch vehicle actuation components as part of ongoing development and testing.

Since announcing their collaboration in January 2026, Bosch and Kodiak AI have progressed from strategic alignment to joint engineering work.

“The quick transition to tangible engineering progress underscores the velocity behind this collaboration,” said Don Burnette, founder and CEO, Kodiak AI. “By validating Bosch’s sensors and components, we are deep into the ‘how’ of high-volume production. Our rapid progress is proving we have the shared ability to execute on the roadmap to industrialize the Kodiak Driver at scale.”

The collaboration is focused on building a robust, production-ready autonomous platform that integrates hardware, firmware and software interfaces required to deploy the Kodiak Driver, Kodiak’s AI-powered driving system.

“Our progress highlights our readiness to move from strategic alignment to industrial execution as we work to bring scaled autonomous trucking to fruition,” added Peter Tadros, regional president, power solutions, Bosch North America. “This cooperation has accelerated and deepened our understanding of real-world autonomous vehicle requirements and helped us forge a path for scaling redundant autonomous driving technology for the entire ecosystem.”

By combining Kodiak AI’s autonomous driving technology with Bosch’s manufacturing expertise, the collaboration aims to support the development of a scalable autonomous trucking platform. The focus is on modular design, serviceability and system-level integration to enable future commercial deployment of driverless trucks.

Recent news, Univrses AI technology integrated into Pirelli Cyber Tyre platform

The combination of the technologies developed by Univrses and Pirelli will deliver vehicles that are “safer and more performant”, the companies said, with potential applications in ADAS and autonomous driving systems. The solution will also deliver timely, relevant and actionable data, for a range of road management use cases. Insights will enable road authorities to make better decisions and deploy resources more effectively, potentially reducing road-related accidents and saving lives.

The technologies use onboard cameras and tires to collect data that provide vital feedback on road conditions. Pirelli Cyber Tyre processes the information collected using the company’s proprietary software and algorithms, and communicates in real time with the vehicle’s electronics and with the cloud, enhancing a car’s safety systems and enabling the monitoring of road infrastructure status.

Univrses has adapted its technology, originally developed for vehicle perception, to enable AI-based road monitoring. It’s 3DAI solution is an AI system that digitizes city and roadside infrastructure using data from vehicle-mounted sensors such as cameras; and its 3DAI Engine provides autonomous vehicles with perception capabilities including 3D positioning, 3D mapping and spatial deep learning.

In 2025, Pirelli and the Puglia Region launched the first project based on this partnership, with a monitoring system for the regional road network creating an up-to-date map of infrastructure conditions. The system provides analyses based on data collected by tires and processed through the Cyber Tyre platform, together with visual data collected via cameras and interpreted using Univrses technology.

Pirelli chief executive officer Andrea Casaluci said, “The agreement with Univrses further enhances our Cyber Tyre platform, thanks to advanced AI‑based artificial vision technologies. The collaboration between Pirelli and Univrses will make a significant contribution to the ongoing transformation of cars into true software‑defined vehicles.”

Univrses CEO Jonathan Selbie added, “Continuous monitoring and data are becoming the new foundation for infrastructure asset management, and Univrses technology is able to provide powerful analytical capabilities based on reliable and frequently updated data. In this context, we are pleased to welcome Pirelli as an investor and to take our partnership to the next level: we will join forces to deliver increasingly advanced services and products.”

Related news, ATI launches VDA 4.1 with new features for ASAM MDF4 data analysis

UFOnext offers high acceleration capability, enabling it to reach the required test speeds quickly. This reduces the track length needed to achieve target velocities, enabling customers to run high-speed NCAP scenarios on shorter proving grounds.

Combined with top speeds exceeding 140km/h, the solution allows test teams to execute demanding ADAS scenarios that are essential for compliance with NCAP 2026 protocols. These include higher-speed interactions and more complex test setups that many existing platforms struggle to support. By enabling these scenarios reliably, Humanetics says the tool helps customers avoid delays in validation programs and ensures readiness for upcoming regulatory requirements.

Onboard charging and a hot-swappable battery system reduce downtime between test runs, while a detachable ramp design simplifies setup and deployment. According to Humanetics, these features allow test engineers to focus on execution rather than preparation, improving overall productivity on the proving ground.

UFOnext is also engineered for consistent performance in real-world conditions. The company says it has been designed for reliable operation in heat, cold and heavy rain, reducing the risk of interruptions and maintaining test schedules regardless of environmental challenges. This reliability is critical for organizations operating under tight development timelines and limited testing windows.

“UFOnext reflects our commitment to helping customers move faster and with greater confidence as safety requirements evolve,” said Christopher O’Connor, president and CEO of Humanetics. “It’s not just about higher performance – it’s about enabling our customers to use their resources more efficiently and meet the demands of NCAP 2026 and beyond.”

“With UFOnext, we focused on solving the real challenges our customers face every day: limited track space, increasing protocol demands and the need for consistent performance,” added Mark Westen, the president of Humanetics Safety. “With increasing requirements from NCAP 2026, including higher speeds and more complex scenarios, our customers need a platform that not only keeps pace but leads the way.

In related news, Hyundai Mobis accelerates SDV and ADAS validation with large-scale data integration system