{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11966838","patent":{"patent_number":"US-11966838","title":"Behavior-guided path planning in autonomous machine applications","assignee":null,"inventors":[],"filing_date":"2019-05-10T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G06N","G01C","G01C","G01S","G01S","G01S","G01S","G01S","G05D","G05D","G05D","G05D","G05D","G05D","G05D","G06N","G06N","G06V","G06V","G08G","G08G","G08G","G01S","G01S","G01S","G01S"],"num_claims":20,"abstract":"In various examples, a machine learning model—such as a deep neural network (DNN)—may be trained to use image data and/or other sensor data as inputs to generate two-dimensional or three-dimensional trajectory points in world space, a vehicle orientation, and/or a vehicle state. For example, sensor data that represents orientation, steering information, and/or speed of a vehicle may be collected and used to automatically generate a trajectory for use as ground truth data for training the DNN. Once deployed, the trajectory points, the vehicle orientation, and/or the vehicle state may be used by a control component (e.g., a vehicle controller) for controlling the vehicle through a physical environment. For example, the control component may use these outputs of the DNN to determine a control profile (e.g., steering, decelerating, and/or accelerating) specific to the vehicle for controlling the vehicle through the physical environment."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Behavior-guided path planning in autonomous machine applications","description":"In various examples, a machine learning model—such as a deep neural network (DNN)—may be trained to use image data and/or other sensor data as inputs to generate two-dimensional or three-dimensional t","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11966838","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-11966838","citation_suggestion":"Patentable. \"Behavior-guided path planning in autonomous machine applications\" (US-11966838). https://patentable.app/patents/US-11966838","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11966838","json":"https://patentable.app/api/llm-context/US-11966838","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T09:21:19.394Z"}