{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10474908","patent":{"patent_number":"US-10474908","title":"Unified deep convolutional neural net for free-space estimation, object detection and object pose estimation","assignee":null,"inventors":[],"filing_date":"2017-07-06T00:00:00.000Z","publication_date":"2019-11-12T00:00:00.000Z","cpc_codes":["G06V","G06F","G06T","G06T","G06V","G06V","G06V","G06T","G06T","G06T","G06T","G06T"],"num_claims":20,"abstract":"A method in a vehicle for performing multiple on-board sensing tasks concurrently in the same network using deep learning algorithms is provided. The method includes receiving vision sensor data from a sensor on the vehicle, determining a set of features from the vision sensor data using a plurality of feature layers in a convolutional neural network, and concurrently estimating, using the convolutional neural network, bounding boxes for detected objects, free-space boundaries, and object poses for detected objects from the set of features determined by the plurality of feature layers. The neural network may include a plurality of free-space estimation layers configured to determine the boundaries of free-space in the vision sensor data, a plurality of object detection layers configured to detect objects in the image and to estimate bounding boxes that surround the detected objects, and a plurality of object pose detection layers configured to estimate the direction of each object."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Unified deep convolutional neural net for free-space estimation, object detection and object pose estimation","description":"A method in a vehicle for performing multiple on-board sensing tasks concurrently in the same network using deep learning algorithms is provided. The method includes receiving vision sensor data from ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10474908","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-10474908","citation_suggestion":"Patentable. \"Unified deep convolutional neural net for free-space estimation, object detection and object pose estimation\" (US-10474908). https://patentable.app/patents/US-10474908","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10474908","json":"https://patentable.app/api/llm-context/US-10474908","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:39:04.515Z"}