OEMS are striving for a balance—one that supports dependability, high-performance computing, and software adaptability.
17 Oct 2024 | 1804 Views | By Rinat Asmus, Tata Technologies
The USD 3.6 trillion global automotive industry is undergoing a transformative shift towards Software-Defined Vehicles (SDVs), signalling a new era where software takes precedence over hardware. This evolution demands massive investments in infrastructure, software ecosystems, and a rethinking of traditional hardware integration approaches. As both legacy and greenfield OEMs embrace ...
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The USD 3.6 trillion global automotive industry is undergoing a transformative shift towards Software-Defined Vehicles (SDVs), signalling a new era where software takes precedence over hardware. This evolution demands massive investments in infrastructure, software ecosystems, and a rethinking of traditional hardware integration approaches. As both legacy and greenfield OEMs embrace SDVs, their strategies diverge: traditional OEMs take a phased approach, focusing on stability with zonal compute systems, while newer OEMs are accelerating towards centralized compute architectures, driven by agility and innovation.
OEMs today are not simply choosing between the latest technology and established best practices. Instead, they are striving for a balance—one that supports dependability, high-performance computing, and software adaptability. This future-focused approach is redefining the automotive landscape, helping manufacturers stay competitive in the software-first world.
Engineering Dependability for Future
The evolution from microcontroller-based architectures to software-dominated systems has been driven by the growing demands for safety, security, and performance. To manage this complexity, OEMs require solutions that combine functional safety with the flexibility needed for next-gen infotainment, connectivity, and Advanced Driver Assistance Systems (ADAS). The goal is to empower OEMs with the tools to deliver software-driven products that are faster, safer, and more efficient.
Building SDV ecosystem - the five key measures - To support this paradigm shift towards SDVs, five critical elements need to be integrated:
Lingua Franca for Predictability - The Lingua Franca deterministic framework ensures real-time, safety-critical automotive applications operate predictably across platforms, offering consistency in performance and safety.
Automotive Grade Linux - With Linux becoming the standard for automotive operating systems, Tata Technologies pioneers efforts to qualify Linux kernels with real-time patches. This enables high-performance computing in vehicles while meeting the stringent demands for safety and updatability.
Containerisation for Flexibility - Containerization solutions like WebAssembly 3.0 and Docker simplify SDV architectures, enabling isolated process execution with cross-platform compatibility, reducing the complexity of traditional systems.
Embracing Rust for Safety-Critical Systems - As the industry moves away from C++ for safety-critical environments, the adoption of Rust, a memory-safe programming language, is transforming ADAS and autonomous systems, ensuring future-ready software frameworks.
Hardware Integration for Functional Safety - Functional safety in automotive hardware presents unique challenges, and the need of the hour is an approach that integrates hardware IP compliance and software frameworks to create a seamless ecosystem, empowering OEMs to develop SDVs that exceed safety and performance standards. Rinat
Asmus is Vice President, Business Development, SDV, Tata Technologies. Views expressed are his own.