AI-Defined Vehicles: Transforming the Future of Automotive
AI Summary
An AI-defined vehicle is a software-defined vehicle (SDV) that integrates artificial intelligence to enable advanced driver-assistance, immersive infotainment, and generative in-cabin experiences. This matters because real-time computer vision, sensor fusion, and voice interaction are now possible through over-the-air updates that enhance safety and responsiveness. Designed for engineers and developers building intelligent automotive systems, this model demands a scalable and flexible architecture. Arm powers 94% of global automaker platforms, offering a safety-certified compute foundation that accelerates development and drives AI innovation across the vehicle.
Use Cases for Successful Innovation
AI at the Edge (In Vehicle)
Real-time processing matters most on the road, which is why Arm CPUs offer in-car processing for low latency, partitioned, secure data to power AI-infused experiences.
Self-Driving Cars
Self-driving cars are advancing with each driver-assistance package. AI helps accelerate these features quickly, with Arm providing the foundational technology for the ongoing AI revolution.
Predictive Maintenance
Take predictive maintenance to the next level with proactive diagnostics that automatically book services at convenient time and pre-order parts.
Enhanced Navigation
AI provides more accurate and efficient route planning, taking into account real-time traffic conditions, parking availability and time of day for a smoother, more prompt driver experience.
Arm Zena CSS
Pre-configured system with build in vision complex, functional safety island
and cybersecurity enclave. Easy partner NPU/accelerator plugin supports advanced
AI workloads.
The Foundation for Innovation
Neoverse V3AE
First Armv9.2 Neoverse CPU with safety enhancements for automotive markets. Highest single-thread performance for AI/ML workloads and automotive markets. Supports up to 3MB L2 cache per core.
Cortex-A720AE
First Armv9-A high-performance Arm Cortex-A CPU designed for safety-critical applications. Based on Arm DynamIQ technology, achieves new levels of performance, power efficiency, and safety for AE CPUs.
Mali-C720AE
Arm’s first ISP to combine functional safety with high configurability for software-defined vehicles. Its dual pipeline design minimizes latency for computer vision while delivering exceptional image quality for displays.
Latest News and Resources
- NEWS and BLOGS
- White Papers
- Guides
- Developer
- Podcast
- REPORTS
Deploying Generative AI at Scale with Flexibility and Speed
Discover how to overcome the challenges surrounding scalability and speed of GenAI development to offer cutting-edge experiences. Our insightful white paper tells you everything you need to know to beat the competition in tomorrow’s AI marketplace.
SDV Guide
Our latest guide explores the world of SDVs, offering answers to the questions that are keeping automotive manufacturers awake at night.
Mixed Criticality
Convergence of HUD and HMI cockpit features with safety-critical ASIL B software.
Connected Vehicle and Increasing Importance of Security
Arm TrustZone and Arm Runtime Security Engine (RSE) deliver advanced security solutions, safeguarding critical operations for a secure, connected driving experience.
Driving with AI: The Wayve Journey
Wayve CEO, Alex Kendall, shares how end-to-end machine learning is powering a new era of autonomous driving, and what it takes to scale from a Cambridge garage to a global company.
The New Frontier for In-Vehicle AI
Smaller models and accelerated compute are transforming AI processing in the vehicle.
Key Takeaways
Key Takeaways
- AI-Defined Vehicle as the Core Concept
An AI-defined vehicle is a software-defined vehicle that integrates artificial intelligence for advanced driver-assistance, infotainment, and generative workloads. - Enhanced Driver-Assistance Through AI
Artificial intelligence strengthens safety features by combining computer vision and sensor fusion to support more reliable driver-assistance systems. - Improved Infotainment with Voice Recognition
In-vehicle infotainment uses AI to deliver more natural and responsive speech and voice recognition experiences for drivers and passengers. - Wide Range of AI Workloads in Vehicles
Automotive applications span from traditional machine learning tasks to generative AI capabilities that can be deployed over-the-air. - Real-Time and Secure Edge Processing
Arm CPUs and the Zena Compute Subsystem enable low-latency, partitioned, and secure in-vehicle processing for AI-enabled automotive experiences.
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