{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11960294","patent":{"patent_number":"US-11960294","title":"Self-supervised attention learning for depth and motion estimation","assignee":null,"inventors":[],"filing_date":"2020-07-13T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G05D","G05D","G05D","G05D","G06N","G06N","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"A system includes: a depth module including an encoder and a decoder and configured to: receive a first image from a first time from a camera; and based on the first image, generate a depth map including depths between the camera and objects in the first image; a pose module configured to: generate a first pose of the camera based on the first image; generate a second pose of the camera for a second time based on a second image; and generate a third pose of the camera for a third time based on a third image; and a motion module configured to: determine a first motion of the camera between the second and first times based on the first and second poses; and determine a second motion of the camera between the second and third times based on the second and third poses."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Self-supervised attention learning for depth and motion estimation","description":"A system includes: a depth module including an encoder and a decoder and configured to: receive a first image from a first time from a camera; and based on the first image, generate a depth map includ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11960294","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-11960294","citation_suggestion":"Patentable. \"Self-supervised attention learning for depth and motion estimation\" (US-11960294). https://patentable.app/patents/US-11960294","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11960294","json":"https://patentable.app/api/llm-context/US-11960294","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:08:30.449Z"}