Session Outline
Autonomous vehicle development relies on vast sensor data, but efficiently finding relevant test scenarios is a major bottleneck. Zenseact addresses this with AI-powered semantic search, enabling developers to retrieve real-world data in seconds using natural language queries, drastically reducing manual search times. This AI-driven scenario discovery accelerates simulation and validation, showcasing the potential of integrating AI with data-driven development for safer autonomous systems. This session explores how this solution streamlines AV software development, reshapes simulation workflows, and inspires future AI innovation.
