{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10474964","patent":{"patent_number":"US-10474964","title":"Training algorithm for collision avoidance","assignee":null,"inventors":[],"filing_date":"2016-01-26T00:00:00.000Z","publication_date":"2019-11-12T00:00:00.000Z","cpc_codes":["G06N","B60W","G06F","G06N","G06V","G06V","G06V","G08G","H04R","G06F","H04R"],"num_claims":18,"abstract":"A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a lane-splitting vehicle. The location of the lane-splitting vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of a lane-splitting vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a lane-splitting vehicle based on actual sensor outputs input to the machine learning model."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Training algorithm for collision avoidance","description":"A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations ar","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10474964","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-10474964","citation_suggestion":"Patentable. \"Training algorithm for collision avoidance\" (US-10474964). https://patentable.app/patents/US-10474964","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10474964","json":"https://patentable.app/api/llm-context/US-10474964","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T08:37:01.233Z"}