MA54888B1 - Reconnaissance et navigation de stationnement basées sur une image - Google Patents

Reconnaissance et navigation de stationnement basées sur une image

Info

Publication number
MA54888B1
MA54888B1 MA54888A MA54888A MA54888B1 MA 54888 B1 MA54888 B1 MA 54888B1 MA 54888 A MA54888 A MA 54888A MA 54888 A MA54888 A MA 54888A MA 54888 B1 MA54888 B1 MA 54888B1
Authority
MA
Morocco
Prior art keywords
vehicle
location
vision model
geographic area
machine vision
Prior art date
Application number
MA54888A
Other languages
English (en)
Other versions
MA54888A1 (fr
Inventor
Francisco Sandoval
Callam Poynter
Gianni Rosas-Maxemin
Robert Mazzola
Original Assignee
Pied Parker Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/730,999 external-priority patent/US11816709B2/en
Application filed by Pied Parker Inc filed Critical Pied Parker Inc
Publication of MA54888A1 publication Critical patent/MA54888A1/fr
Publication of MA54888B1 publication Critical patent/MA54888B1/fr

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • G06Q30/0284Time or distance, e.g. usage of parking meters or taximeters
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • Human Resources & Organizations (AREA)
  • Primary Health Care (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Traffic Control Systems (AREA)
  • Operations Research (AREA)
  • Image Analysis (AREA)

Abstract

La présente invention concerne un procédé de gestion de véhicules, qui consiste à : détecter un mouvement d'un objet à un premier emplacement associé à une zone géographique à l'aide d'un capteur de mouvement, la zone géographique comprenant un ou plusieurs emplacements de stationnement ; en réponse à la détection du mouvement de l'objet au premier emplacement, capturer, à l'aide d'une ou plusieurs caméras, des données d'image associées au premier emplacement ; utiliser un ou plusieurs processeurs périphériques situés à une proximité de seuil de la zone géographique pour accéder à un modèle de vision artificielle d'apprentissage machine. Le ou les processeurs périphériques sont configurés pour exécuter des instructions localement au premier emplacement pour effectuer des opérations consistant à : obtenir, au niveau du modèle de vision artificielle, les données d'image associées à l'objet ; déterminer, par le modèle de vision artificielle, que l'objet est un véhicule ; identifier, par le modèle de vision artificielle, un ou plusieurs paramètres spécifiques à un véhicule associés au véhicule ; et déterminer le ou les paramètres spécifiques à un véhicule qui identifient le véhicule.
MA54888A 2019-04-30 2020-04-30 Reconnaissance et navigation de stationnement basées sur une image MA54888B1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962840999P 2019-04-30 2019-04-30
US16/730,999 US11816709B2 (en) 2018-12-28 2019-12-30 Image-based parking recognition and navigation
PCT/US2020/030885 WO2020223577A1 (fr) 2019-04-30 2020-04-30 Reconnaissance et navigation de stationnement basées sur une image

Publications (2)

Publication Number Publication Date
MA54888A1 MA54888A1 (fr) 2022-03-31
MA54888B1 true MA54888B1 (fr) 2022-10-31

Family

ID=73016571

Family Applications (1)

Application Number Title Priority Date Filing Date
MA54888A MA54888B1 (fr) 2019-04-30 2020-04-30 Reconnaissance et navigation de stationnement basées sur une image

Country Status (4)

Country Link
US (3) US11830046B2 (fr)
MA (1) MA54888B1 (fr)
SA (1) SA521430728B1 (fr)
WO (1) WO2020223577A1 (fr)

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Also Published As

Publication number Publication date
US20240193647A1 (en) 2024-06-13
US12346943B2 (en) 2025-07-01
US20210158410A1 (en) 2021-05-27
WO2020223577A1 (fr) 2020-11-05
US11830046B2 (en) 2023-11-28
MA54888A1 (fr) 2022-03-31
US11907976B2 (en) 2024-02-20
US20200349617A1 (en) 2020-11-05
SA521430728B1 (ar) 2024-03-18

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