AU2021235397B2 - Determining traversable space from single images - Google Patents

Determining traversable space from single images Download PDF

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Publication number
AU2021235397B2
AU2021235397B2 AU2021235397A AU2021235397A AU2021235397B2 AU 2021235397 B2 AU2021235397 B2 AU 2021235397B2 AU 2021235397 A AU2021235397 A AU 2021235397A AU 2021235397 A AU2021235397 A AU 2021235397A AU 2021235397 B2 AU2021235397 B2 AU 2021235397B2
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traversable
target
image
depth map
space
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AU2021235397A1 (en
Inventor
Gabriel J. Brostow
Michael David Firman
Aron Monszpart
James Watson
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Niantic Spatial Inc
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Niantic Spatial Inc
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating three-dimensional [3D] models or images for computer graphics
    • G06T19/006Mixed reality
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G05D1/0274Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three-dimensional [3D] modelling for computer graphics
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating three-dimensional [3D] models or images for computer graphics
    • G06T19/20Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20Indexing scheme for editing of 3D models
    • G06T2219/2004Aligning objects, relative positioning of parts

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computer Graphics (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Architecture (AREA)
  • Databases & Information Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Geometry (AREA)
  • Processing Or Creating Images (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Control And Safety Of Cranes (AREA)
  • Valve Device For Special Equipments (AREA)
  • Shafts, Cranks, Connecting Bars, And Related Bearings (AREA)
  • Traffic Control Systems (AREA)
AU2021235397A 2020-03-10 2021-03-09 Determining traversable space from single images Active AU2021235397B2 (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202062987849P 2020-03-10 2020-03-10
US62/987,849 2020-03-10
US17/193,878 US11741675B2 (en) 2020-03-10 2021-03-05 Determining traversable space from single images
US17/193,878 2021-03-05
PCT/IB2021/051947 WO2021181267A1 (en) 2020-03-10 2021-03-09 Determining traversable space from single images

Publications (2)

Publication Number Publication Date
AU2021235397A1 AU2021235397A1 (en) 2022-11-03
AU2021235397B2 true AU2021235397B2 (en) 2023-08-31

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AU2021235397A Active AU2021235397B2 (en) 2020-03-10 2021-03-09 Determining traversable space from single images

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US (2) US11741675B2 (https=)
EP (1) EP4118618B1 (https=)
JP (1) JP7763183B2 (https=)
KR (1) KR102540594B1 (https=)
CN (1) CN115485718A (https=)
AU (1) AU2021235397B2 (https=)
CA (1) CA3175003C (https=)
TW (1) TWI797571B (https=)
WO (1) WO2021181267A1 (https=)

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FR3106659B1 (fr) * 2020-01-23 2023-07-28 Second Bridge Inc Carte numérique pour la navigation
US11741675B2 (en) * 2020-03-10 2023-08-29 Niantic, Inc. Determining traversable space from single images
US20230260240A1 (en) * 2021-03-11 2023-08-17 Quintar, Inc. Alignment of 3d graphics extending beyond frame in augmented reality system with remote presentation
US12310283B2 (en) * 2021-05-25 2025-05-27 Scythe Robotics, Inc. Method and apparatus for modeling an environment proximate an autonomous system
US20240414427A1 (en) * 2021-09-21 2024-12-12 Sony Group Corporation Information processing device, video processing method, and program
US11636658B1 (en) * 2022-05-04 2023-04-25 Google Llc Dynamic augmented reality overlay display
US20240394839A1 (en) * 2023-05-23 2024-11-28 Disney Enterprises, Inc. Artistically controllable stereo conversion
TWI907823B (zh) * 2023-07-31 2025-12-11 威盛電子股份有限公司 應用於基於深度學習之單目深度預測的模型訓練方法與模型訓練系統
TWI854919B (zh) * 2023-12-13 2024-09-01 中華電信股份有限公司 虛擬或現實場景之人工智慧內容生成系統、方法及其電腦可讀媒介
CN118334592B (zh) * 2024-06-13 2024-09-10 中铁四局集团有限公司 图像检测方法、存储介质和电子设备

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Publication number Publication date
JP2023517661A (ja) 2023-04-26
TW202147179A (zh) 2021-12-16
EP4118618B1 (en) 2025-05-07
TWI797571B (zh) 2023-04-01
EP4118618A4 (en) 2024-04-10
CN115485718A (zh) 2022-12-16
US11741675B2 (en) 2023-08-29
US20210287385A1 (en) 2021-09-16
US12573153B2 (en) 2026-03-10
KR20220143957A (ko) 2022-10-25
CA3175003C (en) 2023-08-01
CA3175003A1 (en) 2021-09-16
JP7763183B2 (ja) 2025-10-31
US20230360339A1 (en) 2023-11-09
KR102540594B1 (ko) 2023-06-08
WO2021181267A1 (en) 2021-09-16
AU2021235397A1 (en) 2022-11-03
EP4118618A1 (en) 2023-01-18

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Owner name: NIANTIC SPATIAL, INC.

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