{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11532151","patent":{"patent_number":"US-11532151","title":"Vision-LiDAR fusion method and system based on deep canonical correlation analysis","assignee":null,"inventors":[],"filing_date":"2022-04-29T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G06V","G06N","G06N","G06N","G06T","G06V","G06V","G06V","G06V","G06V","G06F","G06T","G06T","G06T","G06T"],"num_claims":16,"abstract":"A vision-LiDAR fusion method and system based on deep canonical correlation analysis are provided. The method comprises: collecting RGB images and point cloud data of a road surface synchronously; extracting features of the RGB images to obtain RGB features; performing coordinate system conversion and rasterization on the point cloud data in turn, and then extracting features to obtain point cloud features; inputting point cloud features and RGB features into a pre-established and well-trained fusion model at the same time, to output feature-enhanced fused point cloud features, wherein the fusion model fuses RGB features to point cloud features by using correlation analysis and in combination with a deep neural network; and inputting the fused point cloud features into a pre-established object detection network to achieve object detection. A similarity calculation matrix is utilized to fuse two different modal features."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Vision-LiDAR fusion method and system based on deep canonical correlation analysis","description":"A vision-LiDAR fusion method and system based on deep canonical correlation analysis are provided. The method comprises: collecting RGB images and point cloud data of a road surface synchronously; ext","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11532151","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-11532151","citation_suggestion":"Patentable. \"Vision-LiDAR fusion method and system based on deep canonical correlation analysis\" (US-11532151). https://patentable.app/patents/US-11532151","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11532151","json":"https://patentable.app/api/llm-context/US-11532151","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:24:15.058Z"}