Overview

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.

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Use Cases

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.

AI at the Edge

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.

Self-Driving Cars

Predictive Maintenance

Take predictive maintenance to the next level with proactive diagnostics that automatically book services at convenient time and pre-order parts.

Predictive Maintenance

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.

Enhanced Navigation
AI at the Edge
Compute Subsystems

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.

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Products

The Foundation for Innovation

Success Stories

Partner Innovation

AISIN story

AI
AISIN Develops Edge AI Semiconductor on Arm

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Nuro story

Autonomous-Driving
Arm and Nuro Bring the Benefits of Autonomous Driving to Millions

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Futuristic car in neon colors on a dark background.

Software-Defined Vehicle
The Road Ahead with Mercedes-Benz

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Resources

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.

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SDV Guide

Our latest guide explores the world of SDVs, offering answers to the questions that are keeping automotive manufacturers awake at night.

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Mixed Criticality

Convergence of HUD and HMI cockpit features with safety-critical ASIL B software.

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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.

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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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