{"id":2344,"date":"2010-11-26T15:05:00","date_gmt":"2010-11-26T14:05:00","guid":{"rendered":"https:\/\/www.nmy.de\/en\/?post_type=referenz&p=2344"},"modified":"2025-10-02T10:40:58","modified_gmt":"2025-10-02T08:40:58","slug":"synthetic-data-generator-for-ai","status":"publish","type":"referenz","link":"https:\/\/www.nmy.de\/en\/references\/synthetic-data-generator-for-ai\/","title":{"rendered":"Continental Synthetic Data Generator"},"content":{"rendered":"\n

Generating synthetic data for AI training<\/strong><\/h3>\n\n\n\n

A virtual system for recording and evaluating driving behavior generates data for the optimization of future driver assistance systems and interior solutions and provides an outlook on autonomous driving of the future – created by NMY.<\/p>\n\n\n\n

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11.6 billion customizable avatar configurations<\/h3>\n<\/div>\n\n\n\n
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1 automatic batch processing<\/h3>\n<\/div>\n\n\n\n
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4 years of continuous optimization<\/h3>\n<\/div>\n<\/div>\n\n<\/div>\r\n<\/section>\r\n<\/div>\n\n\n
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A configurator allows the creation of individual driver personalities that can be designed down to the smallest detail.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n

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In addition to the driver’s physical characteristics, lighting conditions, weather conditions and, above all, the vehicle configuration can also be taken into account.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n

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In a complex 3D rendering process including video documentation, the scenario is simulated and qualitative insights are generated.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n

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By repeatedly generating situations, synthetic data of high quality and quantity is obtained.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n

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The application is a flagship project of digital transformation \u2013 and the answer to cost- and resource-intensive analog processes of the past.<\/p>\n\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/section>\r\n\n\n

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Synthetic Data Generation<\/div>\r\n \\<\/span>\r\n Data for AI Training<\/span>\r\n <\/summary>\r\n
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Computer simulations using virtual twins offer a time and cost-efficient way to improve testing and reduce R&D costs.<\/p>\n<\/div>\n<\/div>\n\n<\/div>\r\n<\/details>\r\n\n\n

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Custom UX<\/div>\r\n \\<\/span>\r\n Optimal user guidance<\/span>\r\n <\/summary>\r\n
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The PC-based application features an intuitive user interface and a wide range of functions, controls, and menu options. This makes it easy to simulate all possible scenarios during data generation.<\/p>\n<\/div>\n<\/div>\n\n<\/div>\r\n<\/details>\r\n\n\n

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Machine Learning<\/div>\r\n \\<\/span>\r\n AI thinks with you<\/span>\r\n <\/summary>\r\n
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Tools evaluate the data and provide valuable recommendations for optimizing the driving system \u2013 and possibly new, previously non-existent control elements.<\/p>\n<\/div>\n<\/div>\n\n<\/div>\r\n<\/details>\r\n\n\n\n

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By generating synthetic data in a realistic simulation, we can ensure high data quality and quantity. Both form the basis for useful AI models that save time and money in product development.<\/p>\n\r\n Dr. Wolfram Kresse, Senior Developer NMY<\/cite>\r\n <\/blockquote>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n

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Experience XR & AI live.<\/h3>\n

Book your personal demo \u2013 on-site, remote, or as a hands-on test kit.<\/p>\n

\n Send Demo Request<\/a>\n <\/div>\n
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