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Metrics and evaluation criteria are critical foundations for ensuring that autonomous vehicles are not only innovative but also safe and reliable. Dive into our latest blog post, "Metrics that Matter," to explore the numbers that make up cutting-edge technology, including the implementation of performance and safety metrics, how OEMs define evaluation criteria, and recent developments in regulations that could reshape AV verification and validation. Read the full blog post now: https://lnkd.in/gaVAqc7n #autonomy #autonomousvehicles #appliedintuition

Verification & validation metrics matter | Applied Intuition

Verification & validation metrics matter | Applied Intuition

Vadim Mishanin

Senior Software Engineer | C++ | Optimizations | Python | Self-Driving cars

2mo

Metrics definitely matter :)  Metrics are essential but not sufficient on their own. Additional tools can be built on top of them, such as: * A/B testing tools * Observability tools A/B testing tool helps compare different builds. Observability tools are useful for detecting metric degradation. Metrics typically check whether values hit a threshold at a specific point in time. However, it can take months for a metric to be triggered, making it difficult to identify the root cause.

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