Making Sense of the Standards in AV
Autonomous vehicle safety depends on a growing ecosystem of standards, frameworks, and regulations. This guide explains the most important ones,...
Blog
Blog
UNECE WP.29 R185 Requires Coverage – What It Means for AV Developers
UNECE WP.29 R185 introduces a new requirement for autonomous vehicle certification: manufacturers must provide evidence of reasonable Operational Design Domain coverage. This means defining how scenarios are selected and generated, setting measurable coverage targets, and demonstrating coverage across simulation, track, and real-world testing. This blog breaks down what R185 requires and what AV developers should do now to prepare for its January 2027 implementation.
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NVIDIA Alpamayo 2 Super Raises the Bar for Autonomous Driving — and for AV Validation
NVIDIA has released Alpamayo 2 Super, NVIDIA’s most powerful open driving foundation model to date
AI-Driven Analysis of AV Driving Data
AI can help autonomous vehicle teams analyze verification data at a scale humans cannot manage alone. Learn how AI-assisted analysis...
The Road to Safety: Blending AI With Rule-Based Guardrails
Combining AI innovation with rule-based validation enables safer and more reliable autonomous vehicle development workflows.
Scaling AI Validation with a Unified Framework for Simulation Trustworthiness
How can we turn simulation from a "black box" into a defensible safety case? Discover Foretellix’s unified methodology for measuring...
How AI helps Keeping Scenario Tests Aligned With Their True Purpose
Regression testing is one of the cornerstones of autonomous vehicle (AV) development. Once a test scenario is created, whether from...
Leveraging AI to Optimize Scenario Curation for ADS Validation
In the quest to build trust in self-driving safety, it’s not about how far you drive, but what you find...
Interview with Glen De Vos – Foretellix’s Newest Board Member
You’re joining our board as Temasek’s representative, what about our technology, team, and vision excites you? What excites me about...
Why High-Fidelity Sensor Simulation is Critical for Physical AI Development and Testing
Autonomous vehicles (AVs) must safely navigate complex and unpredictable environments. Yet even the most advanced perception systems face limitations when...
Streamlining AI-Driven Map Construction from Vehicle Perception Data
The autonomous vehicle industry is undergoing a transition from high-definition maps toward real-time perception-based navigation. This shift raises a critical...
Using AI to Bridge the Gap Between NCAP Compliance and Real-World Safety
Foretellix is bridging the gap between NCAP tests and AI driving stacks performing predictably and safely.
How AI-Powered Shift-Left Strategies Slash Costs and Accelerate AV Validation
Facing escalating development costs and lengthy validation cycles, a leading Level 4 autonomous vehicle company turned to AI powered simulation...
