{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11468582","patent":{"patent_number":"US-11468582","title":"Leveraging multidimensional sensor data for computationally efficient object detection for autonomous machine applications","assignee":null,"inventors":[],"filing_date":"2020-03-13T00:00:00.000Z","publication_date":"2022-10-11T00:00:00.000Z","cpc_codes":["G06N","G06F","G06N","G06N","G06T","G06T","G06T","G06T","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06T","G06T"],"num_claims":20,"abstract":"In various examples, a two-dimensional (2D) and three-dimensional (3D) deep neural network (DNN) is implemented to fuse 2D and 3D object detection results for classifying objects. For example, regions of interest (ROIs) and/or bounding shapes corresponding thereto may be determined using one or more region proposal networks (RPNs)—such as an image-based RPN and/or a depth-based RPN. Each ROI may be extended into a frustum in 3D world-space, and a point cloud may be filtered to include only points from within the frustum. The remaining points may be voxelated to generate a volume in 3D world space, and the volume may be applied to a 3D DNN to generate one or more vectors. The one or more vectors, in addition to one or more additional vectors generated using a 2D DNN processing image data, may be applied to a classifier network to generate a classification for an object."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Leveraging multidimensional sensor data for computationally efficient object detection for autonomous machine applications","description":"In various examples, a two-dimensional (2D) and three-dimensional (3D) deep neural network (DNN) is implemented to fuse 2D and 3D object detection results for classifying objects. For example, regions","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11468582","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-11468582","citation_suggestion":"Patentable. \"Leveraging multidimensional sensor data for computationally efficient object detection for autonomous machine applications\" (US-11468582). https://patentable.app/patents/US-11468582","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11468582","json":"https://patentable.app/api/llm-context/US-11468582","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T09:41:29.227Z"}