Realistic simulation through real-world data and Gen AI
DeepScenario

Autonomous vehicles are rapidly becoming a reality, but their scalability remains challenging due to the complexity of the real world and regional differences in traffic behavior. Overcoming these challenges requires realistic simulation with intelligently interacting traffic agents.

Leveraging generative AI and their vast amounts of traffic data, DeepScenario’s agent models achieve new levels of realism in closed-loop simulation. Their diverse database allows the agents to be trained for different driving behaviors. This enables autonomous vehicles to undergo region-specific testing in a realistic simulation prior to deployment, which significantly reduces development costs.

This next-generation approach enhances AV scalability and ensures seamless adaptation to diverse traffic conditions worldwide. Find out more at the expo.

Booth: 9305

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