Why autonomous driving is still so hard, with Joana Fonseca | Builders
Joana Fonseca is an AI engineer at TRATON, working on AI for autonomous driving.
In this episode of Builders, Joana explains how vision language models (VLMs) and vision language action models (VLAs) could change autonomous driving by helping vehicles understand entire scenarios rather than simply detecting individual objects.
She also breaks down what makes deploying AI in the physical world so difficult, from latency and model size to safety, edge cases, testing, and the huge amounts of diverse real-world data required.
Joana holds a PhD in machine learning and robotics from KTH Royal…
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