{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11971958","patent":{"patent_number":"US-11971958","title":"Autonomous vehicle model training and validation using low-discrepancy sequences","assignee":null,"inventors":[],"filing_date":"2023-06-23T00:00:00.000Z","publication_date":"2024-04-30T00:00:00.000Z","cpc_codes":["B60W","B60W","G06F","G06N","G06N","G06V","G06V","B60W","B60W","G06F"],"num_claims":20,"abstract":"Autonomous vehicle model training and validation using low-discrepancy sequences may include: generating a low-discrepancy sequence in a multidimensional space comprising a plurality of multidimensional points; mapping each sample of a plurality of samples of a data corpus to a corresponding entry in the low-discrepancy sequence, wherein each sample of the plurality of samples comprises one or more environmental descriptors for an environment relative to a vehicle and one or more state descriptors describing a state of the vehicle; selecting, from the data corpus, a training data set by selecting, for each multidimensional point of the low-discrepancy sequence having one or more mapped samples, a mapped sample for inclusion in the training data set; and training one or more models used to generate autonomous driving decisions of an autonomous vehicle based on the selected training data set."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Autonomous vehicle model training and validation using low-discrepancy sequences","description":"Autonomous vehicle model training and validation using low-discrepancy sequences may include: generating a low-discrepancy sequence in a multidimensional space comprising a plurality of multidimension","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11971958","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-11971958","citation_suggestion":"Patentable. \"Autonomous vehicle model training and validation using low-discrepancy sequences\" (US-11971958). https://patentable.app/patents/US-11971958","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11971958","json":"https://patentable.app/api/llm-context/US-11971958","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:02:43.950Z"}