{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11468292","patent":{"patent_number":"US-11468292","title":"Techniques for analyzing vehicle design deviations using deep learning with neural networks","assignee":null,"inventors":[],"filing_date":"2019-03-22T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06N","G06N","G06N"],"num_claims":20,"abstract":"A design application is configured to generate a latent space representation of a fleet of pre-existing vehicles. The design application encodes vehicle designs associated with the fleet of pre-existing vehicles into the latent space representation to generate a first latent space location. The first latent space location represents the characteristic style associated with the fleet of pre-existing vehicles. The design application encodes a sample design provided by a user into the latent space representation to produce a second latent space location. The design application then determines a distance between the first latent space location and the second latent space location. Based on the distance, the design application generates a style metric that indicates the aesthetic similarity between the sample design and the vehicle designs associated with the fleet of pre-existing vehicles. The design application can also generate new vehicle designs based on the latent space representation and the sample design."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Techniques for analyzing vehicle design deviations using deep learning with neural networks","description":"A design application is configured to generate a latent space representation of a fleet of pre-existing vehicles. The design application encodes vehicle designs associated with the fleet of pre-existi","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11468292","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-11468292","citation_suggestion":"Patentable. \"Techniques for analyzing vehicle design deviations using deep learning with neural networks\" (US-11468292). https://patentable.app/patents/US-11468292","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11468292","json":"https://patentable.app/api/llm-context/US-11468292","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:41:25.129Z"}