{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11462023","patent":{"patent_number":"US-11462023","title":"Systems and methods for 3D object detection","assignee":null,"inventors":[],"filing_date":"2020-04-21T00:00:00.000Z","publication_date":"2022-10-04T00:00:00.000Z","cpc_codes":["G01S","B60W","G01S","G01S","G01S","G01S","G01S","G01S","G01S","G01S","G01S","G06N","G06N","G06N","G06N","G06T","G06T","G06T","G06V","G06V","G06V","G06V","G06V","B60W","B60W","B60W","G06N","G06T","G06T","G06T","G06T","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"Systems and methods for three-dimensional object detection are disclosed herein. One embodiment inputs, to a neural network, a two-dimensional label associated with an object to produce a Normalized-Object-Coordinate-Space (NOCS) image and a shape vector, the shape vector mapping to a continuously traversable coordinate shape space (CSS); decodes the NOCS image and the shape vector to an object model in the CSS; back-projects, in a frustum, the NOCS image to a LIDAR point cloud; identifies correspondences between the LIDAR point cloud and the object model to estimate an affine transformation between the LIDAR point cloud and the object model; iteratively refines the affine transformation using a differentiable SDF renderer; extracts automatically a three-dimensional label for the object based, at least in part, on the iteratively refined affine transformation; and performs three-dimensional object detection of the object based, at least in part, on the extracted three-dimensional label for the object."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for 3D object detection","description":"Systems and methods for three-dimensional object detection are disclosed herein. One embodiment inputs, to a neural network, a two-dimensional label associated with an object to produce a Normalized-O","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11462023","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-11462023","citation_suggestion":"Patentable. \"Systems and methods for 3D object detection\" (US-11462023). https://patentable.app/patents/US-11462023","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11462023","json":"https://patentable.app/api/llm-context/US-11462023","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:34:27.523Z"}