{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11982534","patent":{"patent_number":"US-11982534","title":"Prediction of a cartographic readjustment parameter by deep learning","assignee":null,"inventors":[],"filing_date":"2019-08-20T00:00:00.000Z","publication_date":"2024-05-14T00:00:00.000Z","cpc_codes":["G01C","G01C","G01C","G01C","G01C","G01C","G01C","G01S","G01S","G06F","G06N"],"num_claims":17,"abstract":"Subjects of the present disclosure are methods for training deep learning models, methods for predicting a map matching parameter, methods for updating a digital road map, and a computer program making it possible to implement the methods and devices for updating a digital road map. The general principle is based on the use of machine learning. Accordingly, a statistical deep learning model is trained according to a “supervised” machine learning scheme. Thereafter, the pretrained statistical deep learning model is used to predict a map matching parameter on the basis of a measurement of geographic coordinates and of an identifier of the position sensor that has performed the measurement of geographic coordinates. Finally, the map matching parameter can be used to update a digital road map."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Prediction of a cartographic readjustment parameter by deep learning","description":"Subjects of the present disclosure are methods for training deep learning models, methods for predicting a map matching parameter, methods for updating a digital road map, and a computer program makin","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11982534","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-11982534","citation_suggestion":"Patentable. \"Prediction of a cartographic readjustment parameter by deep learning\" (US-11982534). https://patentable.app/patents/US-11982534","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11982534","json":"https://patentable.app/api/llm-context/US-11982534","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:44:53.897Z"}