MX2020006848A - Etiquetado de entorno urbano. - Google Patents

Etiquetado de entorno urbano.

Info

Publication number
MX2020006848A
MX2020006848A MX2020006848A MX2020006848A MX2020006848A MX 2020006848 A MX2020006848 A MX 2020006848A MX 2020006848 A MX2020006848 A MX 2020006848A MX 2020006848 A MX2020006848 A MX 2020006848A MX 2020006848 A MX2020006848 A MX 2020006848A
Authority
MX
Mexico
Prior art keywords
objects
urban
labelling
static
urban environment
Prior art date
Application number
MX2020006848A
Other languages
English (en)
Inventor
Peter Ondruska
Lukas Platinsky
Giacomo Dabisias
Original Assignee
Blue Vision Labs Uk Ltd
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
Application filed by Blue Vision Labs Uk Ltd filed Critical Blue Vision Labs Uk Ltd
Publication of MX2020006848A publication Critical patent/MX2020006848A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/50—Depth or shape recovery
    • G06T7/55—Depth or shape recovery from multiple images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30244—Camera pose
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)
  • Image Processing (AREA)

Abstract

La presente invención se refiere a un método y sistema para localización automática de objetos estáticos en un entorno urbano. Más particularmente, la presente invención se refiere al uso de datos de imagen bidimensionales (2D) ruidosos para identificar y determinar las posiciones tridimensionales (3D) de objetos en entornos urbanos o citadinos a gran escala. Los aspectos y/o modalidades buscan proporcionar un método, sistema, y vehículo para ubicar automáticamente objetos estáticos 3D en entornos urbanos utilizando una técnica de triangulación basada en votación. Los aspectos y/o modalidades también proporcionan un método para actualizar datos de mapa después de automáticamente nuevos objetos estáticos 3D en un entorno.
MX2020006848A 2018-03-15 2019-02-25 Etiquetado de entorno urbano. MX2020006848A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
GBGB1804194.7A GB201804194D0 (en) 2018-03-15 2018-03-15 Urban Environmrnt labeling
GB1813101.1A GB2572025A (en) 2018-03-15 2018-08-10 Urban environment labelling
PCT/GB2019/050513 WO2019175532A1 (en) 2018-03-15 2019-02-25 Urban environment labelling

Publications (1)

Publication Number Publication Date
MX2020006848A true MX2020006848A (es) 2020-08-24

Family

ID=62017838

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2020006848A MX2020006848A (es) 2018-03-15 2019-02-25 Etiquetado de entorno urbano.

Country Status (10)

Country Link
US (3) US10706576B2 (es)
EP (1) EP3765996A1 (es)
CN (1) CN111801678A (es)
AU (1) AU2019233778A1 (es)
CA (1) CA3083430C (es)
GB (2) GB201804194D0 (es)
IL (1) IL277279A (es)
MX (1) MX2020006848A (es)
SG (1) SG11202005194WA (es)
WO (1) WO2019175532A1 (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11282225B2 (en) 2018-09-10 2022-03-22 Mapbox, Inc. Calibration for vision in navigation systems
DE102019208216A1 (de) * 2019-06-05 2020-12-10 Conti Temic Microelectronic Gmbh Detektion, 3D-Rekonstruktion und Nachverfolgung von mehreren relativ zueinander bewegten starren Objekten
US11280630B2 (en) * 2019-11-27 2022-03-22 Zoox, Inc. Updating map data
US11703335B2 (en) 2020-06-19 2023-07-18 Toyota Research Institute, Inc. Coordinating and learning maps dynamically
US11783595B2 (en) * 2021-05-17 2023-10-10 Micron Technology, Inc. Autonomous vehicle object detection

Family Cites Families (15)

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JP2002120676A (ja) * 2000-10-19 2002-04-23 Auto Network Gijutsu Kenkyusho:Kk 周辺監視装置
CN101395613A (zh) * 2006-01-31 2009-03-25 南加利福尼亚大学 由2d图像实现3d人脸重建
US9533418B2 (en) * 2009-05-29 2017-01-03 Cognex Corporation Methods and apparatus for practical 3D vision system
US8559673B2 (en) 2010-01-22 2013-10-15 Google Inc. Traffic signal mapping and detection
JP2012243051A (ja) * 2011-05-19 2012-12-10 Fuji Heavy Ind Ltd 環境認識装置および環境認識方法
US8744169B2 (en) * 2011-05-31 2014-06-03 Toyota Motor Europe Nv/Sa Voting strategy for visual ego-motion from stereo
US9756313B2 (en) * 2013-06-09 2017-09-05 Camtek Ltd. High throughput and low cost height triangulation system and method
US20150098616A1 (en) * 2013-10-03 2015-04-09 Qualcomm Incorporated Object recognition and map generation with environment references
CN105096386B (zh) * 2015-07-21 2017-11-17 中国民航大学 大范围复杂城市环境几何地图自动生成方法
US10186024B2 (en) * 2015-12-29 2019-01-22 Texas Instruments Incorporated Method and system for real time structure from motion in a computer vision system
US9922560B2 (en) * 2016-03-14 2018-03-20 International Business Machines Corporation Interactive camera viewpoint and adjustment sharing system
CN106851821B (zh) * 2017-03-16 2020-09-18 重庆邮电大学 一种基于无线通信基站的室内三维定位方法
US10699142B2 (en) * 2017-04-20 2020-06-30 GM Global Technology Operations LLC Systems and methods for traffic signal light detection
CN107170012A (zh) * 2017-05-12 2017-09-15 深圳市唯特视科技有限公司 一种基于语境信息进行视点估计的方法
US10535006B2 (en) * 2018-01-23 2020-01-14 Here Global B.V. Method, apparatus, and system for providing a redundant feature detection engine

Also Published As

Publication number Publication date
US10706576B2 (en) 2020-07-07
US20190325602A1 (en) 2019-10-24
AU2019233778A1 (en) 2020-10-08
SG11202005194WA (en) 2020-07-29
US20200388047A1 (en) 2020-12-10
WO2019175532A1 (en) 2019-09-19
GB201804194D0 (en) 2018-05-02
EP3765996A1 (en) 2021-01-20
US20230186499A1 (en) 2023-06-15
GB201813101D0 (en) 2018-09-26
CA3083430C (en) 2023-10-03
IL277279A (en) 2020-10-29
CA3083430A1 (en) 2019-09-19
US11790548B2 (en) 2023-10-17
CN111801678A (zh) 2020-10-20
US11538182B2 (en) 2022-12-27
GB2572025A (en) 2019-09-18

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