A Unified Approach to Simulation Trustworthiness in AV Development
How can we turn simulation from a "black box" into a defensible safety case? Discover Foretellix’s unified methodology for measuring...
Blog
Blog
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.
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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...
Automated Scenario Curation to Efficiently Evaluate Safety/Performance of an ADS
This is the second blog in a series. In the first blog (Accelerating Automated Driving System Deployment with Scalable, Data-Driven...
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 AV Development and Testing
Autonomous vehicles (AVs) must safely navigate complex and unpredictable environments. Yet even the most advanced perception systems face limitations when...
Automated 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...
Beyond NCAP: Achieving ADAS Safety in the Real World
Many of today’s most advanced vehicles proudly display their 5-star NCAP safety ratings, and for good reason. These standardized tests...
Shifting Left: A Case Study on Cutting Costs and Accelerating AV Development
Facing escalating development costs and lengthy validation cycles, a leading Level 4 autonomous vehicle company turned to simulation to complement...
Accelerating Automated Driving System Deployment with Scalable, Data-Driven Evaluation
As advanced ADAS systems are doing more of the driving for us and fully autonomous vehicles hit the streets without...
Unlocking Scalable Neural Reconstruction for AV Development
Neural reconstruction has emerged as a promising technology, enabling the creation of realistic 3D simulation from real-world drive data, to...
Ten Essential Categories for Scenario Variation
Developing autonomous vehicle (AV) stacks capable of safely navigating real-world environments involves rigorous training, testing, and validation against countless realistic...
Foretellix’s MCP Bridge Brings AV Testing to Your AI Agent
Discover how Foretellix’s MCP Bridge brings AV testing into your AI assistant, with scenario launches, test runs and result analysis...