{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11989642","patent":{"patent_number":"US-11989642","title":"Future object trajectory predictions for autonomous machine applications","assignee":null,"inventors":[],"filing_date":"2022-09-26T00:00:00.000Z","publication_date":"2024-05-21T00:00:00.000Z","cpc_codes":["G06N","B60W","G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"In various examples, historical trajectory information of objects in an environment may be tracked by an ego-vehicle and encoded into a state feature. The encoded state features for each of the objects observed by the ego-vehicle may be used—e.g., by a bi-directional long short-term memory (LSTM) network—to encode a spatial feature. The encoded spatial feature and the encoded state feature for an object may be used to predict lateral and/or longitudinal maneuvers for the object, and the combination of this information may be used to determine future locations of the object. The future locations may be used by the ego-vehicle to determine a path through the environment, or may be used by a simulation system to control virtual objects—according to trajectories determined from the future locations—through a simulation environment."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Future object trajectory predictions for autonomous machine applications","description":"In various examples, historical trajectory information of objects in an environment may be tracked by an ego-vehicle and encoded into a state feature. The encoded state features for each of the object","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11989642","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-11989642","citation_suggestion":"Patentable. \"Future object trajectory predictions for autonomous machine applications\" (US-11989642). https://patentable.app/patents/US-11989642","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11989642","json":"https://patentable.app/api/llm-context/US-11989642","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T23:31:40.257Z"}