Latest news with #SOAFEE
Yahoo
14-06-2025
- Automotive
- Yahoo
Automakers face challenges in managing software-defined vehicles at scale
This story was originally published on Automotive Dive. To receive daily news and insights, subscribe to our free daily Automotive Dive newsletter. NOVI, MICHIGAN — With the auto industry's shift toward building more connected vehicles powered by software continuously updated over-the-air, OEMs are rapidly moving from hardware-centric vehicle development processes to a software-first approach. This pivot also includes the integration of AI and adoption of a cloud-based development environment for software-based vehicles. However, to support this transition, legacy automakers still face challenges in data management and technology integration, according to a recent panel discussion on the topic at the AutoTech 2025 conference in Michigan. The panel, which was moderated by Maite Bezerra, principal analyst for software-defined vehicles at Wards Intelligence, included industry experts from Bosch, Stellantis, Toptal, and the Scalable Open Architecture for Embedded Edge (SOAFEE) industry group, which is working with automakers to expedite development of software-defined vehicles. SOAFEE aims to create an open source vehicle platform using cloud-native architecture that supports multiple hardware configurations. 'SOAFEE is really kind of more about bringing some of the modern software techniques to automotive software development,' said panelist Robert Day, the group's governing body representative. 'Over the last couple or three years, people are actually starting to do their development in the cloud using the tools, technologies and methodologies that are well developed and well used in cloud development.' Although adopting a cloud-based software development approach is a common practice for developers working in the tech space, it's an entirely new field for some legacy automakers. "The problem is the car is not the cloud,' said Day. 'It has things like safety and things like mutual physicality, heterogeneous computing.' The software development challenges for automakers also create the need for OEMs to recruit top talent to integrate the technology into next-generation vehicles, often from outside of the industry. Some companies are providing services to expedite such recruitment. For example, Toptal operates a freelancing platform that connects companies with in-demand software engineers and other technology specialists. 'We have a lot of partners in the automotive space,' said panelist Paul Timmermann, VP of product at Toptal. Stellantis is one of the automakers encountering the challenges of shifting towards SDVs for its future vehicles. "We [automakers] are always hardware first, and now the switch is happening to, you know, software, and then comes the hardware," said panelist Sangeeta Theru, director of virtual validation platforms at Stellantis. 'Tools, processes…everything is changing,' she said. Theru also highlighted the importance of training internal teams at Stellantis, adding that the automaker recently launched "big training on AWS cloud and architecture' for employees. 'There was a lot of effort in upskilling and training internal people,' she said. A major driver of increasing vehicle complexity is automakers launching more advanced driver assist systems and autonomous driving functionality using AI-powered software, according to the panelists. Vehicles with automated driving capabilities, for example, are equipped with dozens of cameras and sensors, generating "many, many terabytes of data" for a single car, scaling to "well beyond petabytes" across large fleets, explained panelist Steven Miller, product management of ADAS and technical expert at Bosch. 'Clearly you're not going to upload all of that data,' he said. 'The other even harder data problem is okay, what's the right data to upload to the cloud?' With rollout of more advanced autonomous driving features, automakers need to be adept at processing and merging extremely large data sets. One of these challenges is processing high volumes of vehicle data in real-time, as well as making it more manageable to transfer to and from the cloud. Automakers must also decide which vehicle data to upload to the cloud to train AI models. Therefore, the panelists emphasized the need for OEMs to create efficient data pipelines to manage this complexity. The panelists also foresee AI being integrated into other vehicle systems, such as remote diagnostics and infotainment. The use of AI will also likely extend to corporate organizational processes. "This is one of the most transformational shifts that we are seeing in the automotive industry," said Bezerra. The panel discussion also delved into automakers' adopting open source software with a higher level of standardization to reduce development times and costs. In November 2024, Panasonic Automotive Systems and Arm announced a collaboration to standardize automotive architecture. The two companies said they recognized the need for the industry to shift from a hardware-centric to a software-first development model to address challenges created by high-cost, vendor-specific proprietary interfaces for vehicles. While the use of open source automotive software has traditionally been met with caution due to safety and liability concerns, an April 2025 report from the Eclipse Foundation found a significant jump in industry appetite to use it for safety-critical vehicle systems. According to the report, 79% of automotive software professionals currently use open source tools and/or in-vehicle software for development, and the number of users actively contributing to open source projects increased by 4% from last year. The big advantage of open source is it provides a standard between companies, explained Day. 'If you're starting to use open standard or open source, it makes that collaboration easier,' he said. Day also highlighted another long-term strategy decision facing OEMs. "What would you choose to open source first? What would you actually keep in-house?" he said. Despite the prospects of adopting open source software for vehicles, the panelists acknowledged that some key areas needed more attention, including cybersecurity. This area is even more critical for automated driving and connected infotainment systems that can be used to pay for goods and services, such as EV charging sessions. Day raised a critical point about security. 'I don't think it's placed enough attention to, and certainly don't think [automakers] spend enough money on it,' he said. According to chipmaker Arm, a modern vehicle can have up to 650 million lines of code, and this number will only increase in the future. But software will revolutionize how drivers interact with their vehicles and redefine the relationship between OEMs and vehicle owners, according to the company. Disclosure: AutoTech2025 is run by Informa, which owns a controlling stake in Informa TechTarget, the publisher behind Automotive Dive. Informa has no influence over Automotive Dive's coverage. Recommended Reading Panasonic Automotive Systems, Arm team up on SDV standardization
Techday NZ
06-06-2025
- Automotive
- Techday NZ
Siemens adds Arm Zena support to boost AI vehicle design
Siemens Digital Industries Software has added support for the newly released Arm Zena Compute Subsystems in its PAVE360 platform for software-defined vehicles. The Arm Zena Compute Subsystems (CSS) represent the company's first generation of compute subsystems designed specifically for automotive applications. The pre-integrated and validated hardware is engineered to be efficient in terms of performance, power consumption, and size, with the aim of facilitating the development of vehicles driven by artificial intelligence. The automotive sector is undergoing significant change as manufacturers shift to software-defined vehicles (SDV) in which intelligent, AI-powered functionality is increasingly important for product differentiation. This trend requires a rethinking of traditional development methodologies. Suraj Gajendra, Vice President of Automotive Products and Software Solutions, Automotive Line of Business at Arm, said: "The era of AI-defined vehicles is an opportunity to bring new in-vehicle experiences to life, but it will require a much faster speed of development and deployment. "With the help of virtual platform solutions like PAVE360 from Siemens, Arm is enabling our partners to begin software development on Zena CSS before physical silicon is available, significantly reducing development time for new software solutions." David Fritz, Vice President at Siemens Digital Industries, commented, "Our work with Arm demonstrates that it's no longer enough that vehicle development is software defined - the process now needs to be systems-aware with the full vehicle system developed in parallel to help ensure that the entire system meets requirements and will require continuous verification." He added, "Siemens is in a unique position to support this new approach as we enable customers to develop multi-domain (across electronics, hardware and application development) digital twin for validation and integration that encompasses the whole System-on-a-Chip (SoC), electronics/electrical (E/E) system and vehicle development flow." Through PAVE360, customers will be able to create and test software for Zena CSS even before the underlying silicon hardware becomes available. The platform will also play a role within the SOAFEE (Scalable Open Architecture for Embedded Edge) community, where virtual prototyping is set to be a foundational tool for developing and validating SOAFEE Blueprints. This approach allows automotive developers to functionally validate software within the system and model interactions between hardware and software. Such capabilities are designed to address the complexities posed by the move towards software-defined and systems-aware automotive design and production. PAVE360 is Siemens' comprehensive solution within its SDV framework, integrating several of its software and hardware tools. These include the Innexis software environment, Veloce hardware-assisted verification and validation systems, Teamcenter for product lifecycle management, Polarion for application lifecycle management, and Simcenter Prescan and Amesim for simulation. The aim is to provide a more cohesive and integrated workflow for software-defined automotive development. The initial rollout of Zena CSS support is built on Siemens' Innexis Architecture Native Acceleration (ANA) technology, now available as part of the PAVE360 toolset. This allows automotive engineers to begin software development for the new hardware platform immediately and to continue the development cycle seamlessly once silicon hardware is released, including accurate performance and power analysis through Innexis Developer Pro. Parallel to software and hardware development, PAVE360 enables requirements management and verification to be connected, supporting the creation of a digital twin that reflects the entirety of the vehicle system. This is intended to address common integration issues faced by automotive manufacturers as vehicles become more complex and interconnected.
Korea Herald
04-06-2025
- Automotive
- Korea Herald
STRADVISION collaborates with Arm to Accelerate the Future of AI-Defined Vehicles
SEOUL, South Korea, June 4, 2025 /PRNewswire/ -- STRADVISION, a disruptive leader in AI-powered automotive perception software, proudly supports Arm in its announcement of Arm® Zena™ Compute Subsystems (CSS), a pre-integrated and validated platform designed to accelerate development for the AI-defined vehicle. As vehicles become increasingly defined by their software capabilities, automakers and their technology partners face growing demands for scalable, high-performance, and safety-enabled compute platforms. Zena CSS, Arm's first-generation CSS for automotive, is purpose-built to address this transformation, offering a trusted and unified compute platform that supports next-generation workloads across central compute, cockpit, and ADAS domains. "At STRADVISION, we're focused on enabling the next generation of vehicles with intelligent, high-efficiency perception systems," said Philip Vidal, CBO of STRADVISION. "Our partnership with Arm makes it easier for OEMs and Tier 1s to scale from entry-level ADAS to premium autonomous features, all while future-proofing their investment." STRADVISION's support for the Arm platform ensures performance portability and flexibility across generations of SoCs from multiple silicon partners. Through this collaboration, STRADVISION is delivering highly efficient, scalable perception software optimized for Arm-based platforms, including Zena CSS, enabling faster time-to-market and more flexibility for OEMs, Tier 1s, and silicon providers across a broad range of SoCs and vehicle segments. This approach empowers automakers to standardize on a single software stack while reducing complexity and accelerating time to market. The collaboration highlights both companies' shared dedication to open, standards-based platforms and aligns with Arm's commitment to ecosystem-led initiatives like SOAFEE that foster innovation, reduce integration friction, and support continuous software evolution. STRADVISION's support for Arm architecture ensures portability and long-term investment protection, allowing automakers to deploy its advanced perception stack seamlessly across multiple generations of hardware, from entry-level ADAS to high-end autonomous driving features. A key part of what STRADVISION is leveraging is the availability of natively-accelerated virtual platforms based on Zena CSS to optimize software stacks for future Arm-based automotive SoCs. By aligning STRADVISION SVNet with virtual Zena CSS platforms, we enable OEMs to begin software development and testing significantly earlier in the cycle, cutting time-to-production and enabling scalable, continuous integration and deployment. This is especially critical for STRADVISION's advanced perception stacks, which support automated driving at L2+ level and above, where extensive sensor data must be processed to meet rigorous testing demands. "Automakers and their partners face growing expectations from drivers to deliver AI-defined features that enhance autonomous driving assistance and personalize the in-cabin experience. With the support of ecosystem partners like STRADVISION, Arm Zena CSS lays the foundation for safer, smarter, and more efficient next-generation automotive systems," said Suraj Gajendra, vice president of automotive products and software solutions, Automotive Line of Business, Arm. For more information on STRADVISION and its cutting-edge technologies, please visit STRADVISION. About STRADVISION Founded in 2014, STRADVISION is an automotive industry pioneer in artificial intelligence-based vision perception technology for ADAS. The company is accelerating the advent of fully autonomous vehicles by making ADAS features available at a fraction of the market cost compared with competitors. STRADVISION's SVNet is being deployed on various vehicle models in partnership with OEMs; can power ADAS and autonomous vehicles worldwide; and is serviced by over 300 employees in Seoul, San Jose, Detroit, Tokyo, Shanghai, and Dusseldorf. STRADVISION has been honored with Frost & Sullivan's 2022 Global Technology Innovation Leadership Award, the Gold Award at the 2022 and 2021 AutoSens Awards for Best-in-Class Software for Perception Systems, and the 2020 Autonomous Vehicle Technology ACES Award in Autonomy (software category). In addition, STRADVISION and its software have achieved TISAX's AL3 standard for information security management, as well as being certified to the ISO 9001:2015 for Quality Management Systems and ISO 26262 for Automotive Functional Safety.
Techday NZ
21-05-2025
- Automotive
- Techday NZ
Red Hat partners to drive innovation in software-defined vehicles
Red Hat has announced the development of a partner ecosystem focused on integrating silicon, middleware, application software, and services with the Red Hat In-Vehicle Operating System for future software-defined vehicles. The automotive sector is undergoing a transformation towards software-centric vehicle architectures, which requires new forms of collaboration among industry participants. Red Hat is actively seeking strategic partnerships with a range of technology experts, including silicon vendors, independent software vendors, tier-1 suppliers, and systems integrators, to ensure its platform supports this shift. Red Hat's strategy is to provide automakers with a wider choice of trusted solutions for deploying its in-vehicle operating system. By collaborating across the ecosystem, Red Hat aims to help accelerate development cycles, simplify integration, and enable vehicles to deliver enhanced user experiences. Francis Chow, Vice President and General Manager, In-Vehicle Operating System and Edge at Red Hat, said: "The automotive industry is experiencing a significant shift, as more and more automakers and suppliers turn to open source for software-defined vehicles. Red Hat acknowledges that navigating this complex evolution requires highly strategic, targeted collaborations in order to meet the rigorous requirements of automotive. By proactively building a partner ecosystem of technology experts and suppliers, Red Hat In-Vehicle Operating System is poised to reshape the world of automotive and empower the industry on its transformative journey to software-defined vehicles." Red Hat works with silicon partners to enable software portability through hardware abstraction, which is intended to speed up software development while maintaining access to advanced hardware features. Middleware and software vendors contribute to the seamless operation of critical vehicle applications. Systems integrators are collaborating to deliver end-to-end solutions to further optimise design speed and reduce validation times. Bruno Putman, Vice President, Automotive Go-to-market and Alliances at Arm, remarked: "This era of automotive innovation relies on a strong software ecosystem to deliver advanced features that drivers have come to rely on. In collaboration with Red Hat, we ensure Red Hat In-Vehicle Operating System supports Arm automotive architectures and enable the development of mixed critical automotive software with open collaboration through SOAFEE, accelerating automotive software design built on Arm." Uwe Brandenburg, Chief Technology Officer, Automotive & Manufacturing Industry, DXC Technology, added: "Together with Red Hat, DXC is helping automotive manufacturers accelerate their journey to autonomous driving. By leveraging Red Hat In-Vehicle Operating System within our software-defined vehicle solutions, we're enabling a secure, reliable, and scalable foundation for real-time, safety-critical workloads — driving innovation without compromising performance." Christian Uebber, Chief Technology Officer, ETAS, said: "I congratulate Red Hat on achieving its first functional-safety certification for Red Hat In-Vehicle Operating System. Having reviewed the Red Hat In-Vehicle Operating System Safety Guidance Manual, I can confirm that this milestone is a significant step forward for ASIL-B safety in open source software. An exceptional amount of work has clearly gone into this – this is real progress." Jack Weast, Intel Fellow, Vice President and General Manager, Intel Automotive, commented: "Red Hat In-Vehicle Operating System plays a crucial role in advancing software-defined architectures within the automotive industry. Intel Automotive is pleased to collaborate as a key partner, and with Red Hat's extensive experience of more than 30 years on Intel Architecture, our combined efforts are set to contribute significantly to the evolution of software-defined solutions in the automotive sector." Chang Sukjin, Head of Smart Mobility Laboratory, CTO Division, LG Electronics, stated: "The collaboration between LG Electronics and Red Hat marks a pivotal step in accelerating innovation in software-defined vehicles. By combining Red Hat In-Vehicle Operating System with LG Electronics' software-defined vehicle middleware technologies, we are setting a new standard for a stable and flexible vehicle software platform, driving the future of the mobility ecosystem." Ray Cornyn, Senior Vice President and General Manager, Automotive Processors, NXP Semiconductors, gave his perspective: "Open source software is a catalyst to automotive innovation. Red Hat In-Vehicle Operating System helps address a key challenge in advancing software-defined vehicles – combining the rapid evolution of a community-driven platform with the safety rigor required in real-time vehicle systems. At NXP, we welcome the Red Hat In-Vehicle Operating System safety certification that is supported by NXP's S32G safety-certified vehicle network processors, as a major step forward. This collaboration reflects our shared vision of a future where software-defined vehicles redefine mobility." Nico Hartmann, Ph.D, Chief Technology Officer, Qorix GmbH, said: "The increasing complexity of software-defined vehicles demands robust, flexible and secure software architectures. Safety-certified Linux, powered by open source, is a key enabler for this transformation. By integrating our powerful Qorix middleware with Red Hat In-Vehicle Operating System, we see a strong opportunity to efficiently implement mixed-criticality use cases in a future-proof way. We are excited to be part of a growing ecosystem, driving innovation for the mobility of tomorrow." Juhapekka Niemi, Senior Vice President, Product Management, Qt Group, stated: "We're excited to collaborate with Red Hat to help accelerate the future of software-defined vehicles. Red Hat In-Vehicle Operating System is a big step forward for software-defined vehicle development. Together with Qt Safe Renderer, we are helping automakers develop modern embedded systems that are both functionally safe and dependable." Marco Di Benedetto, Senior Vice President, Engineering, Sonatus, explained: "Red Hat In-Vehicle Operating System offers an important base for a growing range of automotive applications spanning different vehicle domains, and this most recent safety certification expands its applicability into many types of safety-critical systems. Sonatus technology has been ported to Red Hat In-Vehicle Operating System and we have been working with Red Hat to show how our combined solutions can accelerate the shift to software-defined vehicles in a range of important applications." Narasimham RV, President, Engineering Services, Tech Mahindra, said: "The transition from hardware-centric architectures to software-first paradigms necessitates open, modular, and safety-aware operating systems. Tech Mahindra is at the forefront of this shift, utilizing our full-stack capabilities from silicon to software and supporting global OEMs in building scalable, future-ready software-defined vehicle (SDV) platforms. Our collaboration with Red Hat enables both organizations to jointly accelerate time to market and deliver innovative mobility solutions tailored to the needs of our customers." Artem Aginskiy, Product Line Manager, High-Performance Processors, Texas Instruments (TI), commented: "Our collaboration with Red Hat represents an important milestone in the evolution toward the software-defined vehicle. With TI's high-performance automotive hardware platforms and Red Hat's cutting-edge work to deliver a Linux offering that addresses functional safety requirements, developers now have access to the vast Linux-based open source ecosystem to enable innovation and accelerate time to market." Shinpei Kato, Chief Executive Officer and Founder, TIER IV, and Founder, Autoware Foundation, said: "Red Hat has been an invaluable partner to TIER IV and the Autoware Foundation in advancing a software-defined vehicle reference implementation, enabling the Autoware open-source autonomous driving software to seamlessly run on Red Hat In-Vehicle Operating System. We are excited about the possibilities this open source-based autonomous driving reference platform unlocks, and we believe it will play a vital role in accelerating the deployment of safe, secure, and scalable autonomy solutions across the automotive industry." Dongchao Xu, Chief Executive Officer, ThunderX, stated: "As the intelligent automotive industry rapidly evolves, open source technology remains pivotal to innovation. ThunderX, specializing in intelligent driving domain controllers and high-performance computing (HPC) platforms, is proud to collaborate with Red Hat. Together, utilizing Red Hat technologies, we are advancing an open source automotive ecosystem to accelerate the software-defined future of mobility."
