{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11500063","patent":{"patent_number":"US-11500063","title":"Deep learning for object detection using pillars","assignee":null,"inventors":[],"filing_date":"2019-11-08T00:00:00.000Z","publication_date":"2022-11-15T00:00:00.000Z","cpc_codes":["G01S","G01C","G01S","G01S","G01S","G01S","G01S","G01S","G01S","G01S","G01S","G01S","G05D","G05D","G06F","G06N","G06N","G06N","G06V","G06V","G06V","G06V","G01S","G01S","G01S","G01S","G01S","G05D","G05D","G06V"],"num_claims":16,"abstract":"Among other things, we describe techniques for detecting objects in the environment surrounding a vehicle. A computer system is configured to receive a set of measurements from a sensor of a vehicle. The set of measurements includes a plurality of data points that represent a plurality of objects in a 3D space surrounding the vehicle. The system divides the 3D space into a plurality of pillars. The system then assigns each data point of the plurality of data points to a pillar in the plurality of pillars. The system generates a pseudo-image based on the plurality of pillars. The pseudo-image includes, for each pillar of the plurality of pillars, a corresponding feature representation of data points assigned to the pillar. The system detects the plurality of objects based on an analysis of the pseudo-image. The system then operates the vehicle based upon the detecting of the objects."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Deep learning for object detection using pillars","description":"Among other things, we describe techniques for detecting objects in the environment surrounding a vehicle. A computer system is configured to receive a set of measurements from a sensor of a vehicle. ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11500063","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-11500063","citation_suggestion":"Patentable. \"Deep learning for object detection using pillars\" (US-11500063). https://patentable.app/patents/US-11500063","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11500063","json":"https://patentable.app/api/llm-context/US-11500063","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:34:32.609Z"}