{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11966673","patent":{"patent_number":"US-11966673","title":"Sensor simulation and learning sensor models with generative machine learning methods","assignee":null,"inventors":[],"filing_date":"2020-03-13T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G06F","G01S","G01S","G06N","G06N","G06N","G01S","G01S","G01S"],"num_claims":17,"abstract":"In various examples, a sensor model may be learned to predict virtual sensor data for a given scene configuration. For example, a sensor model may include a deep neural network that supports generative learning—such as a generative adversarial network (GAN). The sensor model may accept an encoded representation of a scene configuration as an input using any number of data structures and/or channels (e.g., concatenated vectors, matrices, tensors, images, etc.), and may output virtual sensor data. Real-world data and/or virtual data may be collected and used to derive training data, which may be used to train the sensor model to predict virtual sensor data for a given scene configuration. As such, one or more sensor models may be used as virtual sensors in any of a variety of applications, such as in a simulated environment to test features and/or functionality of one or more autonomous or semi-autonomous driving software stacks."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Sensor simulation and learning sensor models with generative machine learning methods","description":"In various examples, a sensor model may be learned to predict virtual sensor data for a given scene configuration. For example, a sensor model may include a deep neural network that supports generativ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11966673","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11966673","citation_suggestion":"Patentable. \"Sensor simulation and learning sensor models with generative machine learning methods\" (US-11966673). https://patentable.app/patents/US-11966673","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11966673","json":"https://patentable.app/api/llm-context/US-11966673","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T11:41:19.098Z"}