{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9760806","patent":{"patent_number":"US-9760806","title":"Method and system for vision-centric deep-learning-based road situation analysis","assignee":null,"inventors":[],"filing_date":"2016-05-11T00:00:00.000Z","publication_date":"2017-09-12T00:00:00.000Z","cpc_codes":["G06T","B60W","G06N","G06N","G06N","G06V","G06V","B60W","B60W","B60W","B60W","B60W","G06T","G06T","G06T"],"num_claims":20,"abstract":"In accordance with various embodiments of the disclosed subject matter, a method and a system for vision-centric deep-learning-based road situation analysis are provided. The method can include: receiving real-time traffic environment visual input from a camera; determining, using a ROLO engine, at least one initial region of interest from the real-time traffic environment visual input by using a CNN training method; verifying the at least one initial region of interest to determine if a detected object in the at least one initial region of interest is a candidate object to be tracked; using LSTMs to track the detected object based on the real-time traffic environment visual input, and predicting a future status of the detected object by using the CNN training method; and determining if a warning signal is to be presented to a driver of a vehicle based on the predicted future status of the detected object."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method and system for vision-centric deep-learning-based road situation analysis","description":"In accordance with various embodiments of the disclosed subject matter, a method and a system for vision-centric deep-learning-based road situation analysis are provided. The method can include: recei","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9760806","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-9760806","citation_suggestion":"Patentable. \"Method and system for vision-centric deep-learning-based road situation analysis\" (US-9760806). https://patentable.app/patents/US-9760806","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9760806","json":"https://patentable.app/api/llm-context/US-9760806","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T13:55:00.744Z"}