Computer simulations using virtual twins offer a time and cost-efficient way to improve testing and reduce R&D costs.
Generating Synthetic Data for AI Training
A virtual system created by NMY records and evaluates driving behavior, generates synthetic data for optimizing future driver assistance systems and interior solutions, and provides a glimpse into the autonomous driving of the future.
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11.6 Bill. Avatar configurations
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1 automatic batch process
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4 years of optimization
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Synthetic data generation
01\Data for AI Training
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Custom UX
02\Optimal user guidance
The PC-based application is operated through an intuitive user interface and a wide range of functions, controls and menu options. This makes it easy to run through all possible scenarios during data generation.
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Machine Learning
03\AI thinks with you
Tools evaluate the data and provide valuable recommendations for optimizing the drive system and possibly discovering new, previously unseen features.
A configurator enables the creation of individual driver personas that can be customized down to the smallest detail.
Sebastian Demmerle, Strategy and concept
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Sebastian Demmerle, Strategy and concept