Latest Automotive Innovations: Applied Intuition, TRATON, NOVOSENSE, Corellium, Green Hills Software, NXP, FPT Automotive, and Subaru in Focus for Advancements in Connected Car Technology
In the rapidly evolving world of software-defined vehicles (SDVs), a layered network of partnerships is driving innovation and accelerating the advancement of intelligent, connected, and software-centric vehicles.
Corellium, a leading technology provider, has announced the general availability of Atlas, a virtual hardware platform designed to accelerate software development for SDVs. Atlas enables automakers, suppliers, and developers to build, test, and deploy automotive applications with unprecedented speed and efficiency. The solution integrates Green Hills' ASIL D safety-certified μ-velOSity real-time operating system (RTOS), the μ-visor hypervisor, industry-leading Green Hills Compilers, and the MULTI debugger with system visualization tools.
Major automotive companies such as General Motors (GM), Volkswagen, Ford, and Mercedes-Benz are investing heavily in software development for electric, autonomous, and connected vehicles. They often partner with specialized tech firms to enhance software architectures and AI capabilities. One notable joint venture is Volkswagen’s multi-billion-dollar collaboration with Rivian to co-develop vehicle software and electrical architectures.
Collaborations involving companies like BYD, NVIDIA, and Huawei are also shaping the SDV industry. BYD partners with NVIDIA on AI and with Huawei on autonomous driving systems to build intelligent integrated software stacks. Cognizant, Siemens, and Elektrobit have teamed up to build advanced software-defined vehicle accelerators that streamline the testing, verification, and validation of complex vehicle software using virtualization and simulation platforms.
Specialized semiconductor and AI solution providers like SiMa.ai and Synopsys are combining machine learning IP and advanced chip design to develop new system-on-chip architectures for Advanced Driver Assistance Systems (ADAS) and in-vehicle infotainment solutions. This partnership aims to address critical industry needs such as ultra-low power consumption, real-time processing, scalability, and automotive-grade functional safety compliance.
Ecosystem and community initiatives like Arm’s Zena CSS platform and the SOAFEE (Scalable Open Architecture for Embedded Edge) community foster collaborative software development through cloud-native methodologies, continuous compliance frameworks, shared toolchains, and open industry memberships exceeding 150 members. These platforms help automotive software developers rapidly adopt AI-enabled, continuously evolving software paradigms within the SDV landscape.
NOVOSENSE Microelectronics, a company renowned for its automotive-grade chip manufacturing, has achieved the ISO 26262 ASIL D "Defined-Practiced" certification from TÜV Rheinland, signifying its enhanced functional safety capabilities. Key features of NOVOSENSE's solution include safe and secure ECU consolidation with μ-visor, supporting multiple operating systems such as AUTOSAR Classic and μ-velOSity, and advanced debugging and system visualization using the MULTI IDE.
Another significant collaboration is the renewed alliance between FPT Automotive and Subaru Corporation Japan. The partnership will introduce a modular, scalable Vehicle OS and AI-driven development tools for TRATON. Applied Intuition will provide AI-powered vehicle software products, while TRATON brings its expertise in industrializing commercial vehicle software at scale. This collaboration aims to enable advanced automation, connectivity, and efficiency in commercial vehicles.
Green Hills Software and NXP Semiconductors have partnered to provide a hardware and software solution for developing safety-focused, mixed-criticality software-defined vehicle (SDV) zonal architectures. The S32K5 microcontroller (MCU) family, offered by NXP, provides high performance, increased networking capabilities, and hardware-enforced safety isolation while maintaining low power consumption. The S32K5 platform was demonstrated at embedded world 2025 and is now available to early customers, integrated with the Synopsys Virtualizer S32K5 VDK virtual model simulator.
The partnership between FPT Automotive and Subaru Corporation Japan has been renewed for another two years, expanding their focus on software-defined vehicles, autonomous driving, and advanced safety systems. The collaboration will virtualize testing using a cloud-native environment, allowing engineers to conduct software evaluations earlier in the development cycle. The initiative supports ISO 26262 ASIL D safety and ISO/SAE 21434 automotive cybersecurity standards, and offers a comprehensive development environment with MISRA C Adherence Wizard and DoubleCheck static code analysis to detect and resolve software issues efficiently.
Overall, the SDV industry is evolving through a network of partnerships spanning OEMs, software tool vendors, semiconductor companies, AI innovators, and collaborative platforms. This cooperative approach across the supply chain is essential for standardization, innovation, and the successful deployment of software-defined vehicles.
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- In the SDV industry, technology firms like Corellium are developing virtual hardware platforms, such as Atlas, to accelerate software development, integrating safety-certified operating systems like Green Hills' μ-velOSity for efficient deployment of automotive applications.
- Major automotive companies, including General Motors, Volkswagen, Ford, and Mercedes-Benz, are partnering with tech firms to enhance software architectures and AI capabilities, demonstrating their commitment to industry advancements in areas such as electric, autonomous, and connected vehicles.
- Finance plays a significant role in the innovation of SDVs, as exemplified by Volkswagen's multibillion-dollar collaboration with Rivian to co-develop vehicle software and electrical architectures, and partnerships like that between FPT Automotive and Subaru Corporation Japan, which aim to virtualize testing and introduce AI-driven development tools for commercial vehicles.
