{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11532168","patent":{"patent_number":"US-11532168","title":"Multi-view deep neural network for LiDAR perception","assignee":null,"inventors":[],"filing_date":"2020-06-29T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G01S","B60W","B60W","B60W","G01S","G01S","G05D","G05D","G06F","G06F","G06N","G06T","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V","B60W","G06T","G06T","G06T","G06T","G06V"],"num_claims":20,"abstract":"A deep neural network(s) (DNN) may be used to detect objects from sensor data of a three dimensional (3D) environment. For example, a multi-view perception DNN may include multiple constituent DNNs or stages chained together that sequentially process different views of the 3D environment. An example DNN may include a first stage that performs class segmentation in a first view (e.g., perspective view) and a second stage that performs class segmentation and/or regresses instance geometry in a second view (e.g., top-down). The DNN outputs may be processed to generate 2D and/or 3D bounding boxes and class labels for detected objects in the 3D environment. As such, the techniques described herein may be used to detect and classify animate objects and/or parts of an environment, and these detections and classifications may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Multi-view deep neural network for LiDAR perception","description":"A deep neural network(s) (DNN) may be used to detect objects from sensor data of a three dimensional (3D) environment. For example, a multi-view perception DNN may include multiple constituent DNNs or","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11532168","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-11532168","citation_suggestion":"Patentable. \"Multi-view deep neural network for LiDAR perception\" (US-11532168). https://patentable.app/patents/US-11532168","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11532168","json":"https://patentable.app/api/llm-context/US-11532168","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:47:22.986Z"}