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Autonomous Vehicle Safety
Ensure vehicle safety across the full AV stack with NVIDIA Halos.
Overview Highlights Technology Benefits Use Cases Certification Research Partners Resources Next Steps Overview Highlights Technology Benefits Use Cases Certification Research Partners Resources Next Steps Overview Highlights Technology Benefits Use Cases Certification Research Partners Resources Next
Steps
Overview
Autonomous Vehicle Safety, From the Cloud to the Car
NVIDIA Halos is a full-stack, comprehensive safety system that unifies vehicle architecture, AI models, chips, software, tools, and services to ensure the safe development and deployment of autonomous vehicles (AVs) from cloud to car. The system covers the full development lifecycle with design-time, deployment-time, and validation-time guardrails that collectively build safety and explainability into AI-based AV stacks. These guardrails are implemented using three powerful computers—NVIDIA DGX™ for AI training, NVIDIA Omniverse™ and Cosmos™ for simulation, and NVIDIA AGX™ for deployment. At the heart of the vehicle, NVIDIA Halos OS provides the unified software foundation necessary to bridge these AI capabilities with production-ready safety. NVIDIA Halos complements existing industry-standard safety practices, while introducing unique elements for autonomous vehicles. This ensures regulatory compliance and advances safe and reliable AV stacks, together with NVIDIA’s Halos AI Systems Inspection Lab. Halos is also extending its comprehensive safety framework beyond AVs to robotics, further enhancing the reliability and safety of intelligent systems.
NVIDIA Releases New AI Models and Developer Tools to Advance Autonomous Vehicle Ecosystem
To accelerate the development of next-generation AV architectures, NVIDIA released NVIDIA Cosmos Predict-2 — a new world foundation model with improved future world state prediction capabilities for high-quality synthetic data generation — as well as new developers tools.
NVIDIA Launches Halos, a Full-Stack, Comprehensive Safety System for Autonomous Vehicles
NVIDIA unifies vehicle architecture to AI models; chips, software, and tools to services for safely developing AVs from cloud to car.
Highlights
Autonomous Vehicle Safety Leadership
NVIDIA Halos is the result of continuous investment in autonomous vehicle safety—from research to engineering to active engagement with international safety standards—validated by independent third-party assessments.
18,600+
Engineering years invested in vehicle safety to date
21 Billion+
Safety transistors safety assessed
7,000,000
Lines of safety-assessed code
2,000,000
Daily end-to-end integration tests for validation
22,000+
Platform safety monitors
20,000+
Hours of safety test data
1,000+
Patents filed
330+
Research papers published on AV safety
30+
Certificates and assessment reports issued
Technology
Engineered for Safety, Designed for Trust
As AV companies transition to AI-based, end-to-end architectures, NVIDIA Halos provides the critical safety foundation to ensure system-level reliability and iterative improvement for automated driving systems. This includes integration of third party-assessed hardware, software, and processes with a diverse algorithmic architecture and validation pipelines.
NVIDIA DGX
Design-time safety guardrails for built-in hardware/software safety and trustworthy development processes.
NVIDIA Omniverse With Cosmos
Validation-time guardrails for data generation, simulation, evaluation, and lifelong safety assurances.
NVIDIA DRIVE AGX™
Deployment-time guardrails for run-time monitoring and real-time introspection.
Benefits
A Comprehensive System for Autonomous Vehicle Safety
NVIDIA Halos helps to ensure AI-driven AV systems are safe and secure. Partners can tap into NVIDIA’s investments in AI safety to accelerate development and enhance AV reliability. NVIDIA Halos is also open to developers, enabling adoption or customization of safety elements to drive the shared mission to create safe and reliable autonomous vehicle technology.
Design-time, deployment-time, and validation-time guardrails collectively build safety and explainability into several layers of technologies spanning platform safety, AI algorithmic safety, and ecosystem safety.
At the top of the NVIDIA Halos elements sits the NVIDIA Halos AI Systems Inspection Lab, which allows customers and ecosystem partners to verify the safe integration of their products with NVIDIA Halos elements. The lab is the first worldwide program to be accredited by ANAB for AI functional safety.
Use Cases
A Full-Stack Comprehensive Safety System
NVIDIA Halos integrates foundational models and a diverse algorithmic stack, combining classical and AI-based, end-to-end models to drive system-level safety in the shift toward AI-driven AV architectures.
Platform Safety Algorithmic Safety Ecosystem Safety Halos AI Systems Inspection Lab
Platform Safety
The robust foundation for autonomous driving systems includes: A System-on-a-Chip (SoC) that’s designed for safety, with hundreds of built-in safety mechanisms. NVIDIA Halos OS, a unified, three-layer safety foundation built on ASIL D certified NVIDIA DriveOS™. The architecture integrates Halos Core (safety operating system), Halos SDK (safety middleware), and Halos applications (safety applications) to deliver a production-ready environment for AV. A safety-assessed base platform that delivers the foundational safe computer needed to enable safe systems for all types of applications NVIDIA DRIVE Hyperion™, a diverse hardware platform that connects the SoC, OS, and sensors in a vehicle architecture. This enables a vehicle to safely execute contingency plans if needed.