{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11461963","patent":{"patent_number":"US-11461963","title":"Systems and methods for generating synthetic light detection and ranging data via machine learning","assignee":null,"inventors":[],"filing_date":"2019-09-11T00:00:00.000Z","publication_date":"2022-10-04T00:00:00.000Z","cpc_codes":["G06T","G01S","G01S","G05D","G05D","G06N","G06N","G06T","G07C","G06N"],"num_claims":20,"abstract":"The present disclosure provides systems and methods that combine physics-based systems with machine learning to generate synthetic LiDAR data that accurately mimics a real-world LiDAR sensor system. In particular, aspects of the present disclosure combine physics-based rendering with machine-learned models such as deep neural networks to simulate both the geometry and intensity of the LiDAR sensor. As one example, a physics-based ray casting approach can be used on a three-dimensional map of an environment to generate an initial three-dimensional point cloud that mimics LiDAR data. According to an aspect of the present disclosure, a machine-learned geometry model can predict one or more adjusted depths for one or more of the points in the initial three-dimensional point cloud, thereby generating an adjusted three-dimensional point cloud which more realistically simulates real-world LiDAR data."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for generating synthetic light detection and ranging data via machine learning","description":"The present disclosure provides systems and methods that combine physics-based systems with machine learning to generate synthetic LiDAR data that accurately mimics a real-world LiDAR sensor system. I","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11461963","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-11461963","citation_suggestion":"Patentable. \"Systems and methods for generating synthetic light detection and ranging data via machine learning\" (US-11461963). https://patentable.app/patents/US-11461963","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11461963","json":"https://patentable.app/api/llm-context/US-11461963","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T10:19:25.244Z"}