MX2021000973A - Sistema de captura de datos de modo dual para deteccion de colisiones y dimensionamiento de objetos. - Google Patents

Sistema de captura de datos de modo dual para deteccion de colisiones y dimensionamiento de objetos.

Info

Publication number
MX2021000973A
MX2021000973A MX2021000973A MX2021000973A MX2021000973A MX 2021000973 A MX2021000973 A MX 2021000973A MX 2021000973 A MX2021000973 A MX 2021000973A MX 2021000973 A MX2021000973 A MX 2021000973A MX 2021000973 A MX2021000973 A MX 2021000973A
Authority
MX
Mexico
Prior art keywords
capture
images
collision
dual
volume
Prior art date
Application number
MX2021000973A
Other languages
English (en)
Inventor
Charles Burton Swope
Original Assignee
Zebra Tech Corp
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 Zebra Tech Corp filed Critical Zebra Tech Corp
Publication of MX2021000973A publication Critical patent/MX2021000973A/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095Predicting travel path or likelihood of collision
    • B60W30/0956Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • G06T7/593Depth or shape recovery from multiple images from stereo images
    • G06T7/596Depth or shape recovery from multiple images from stereo images from three or more stereo images
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/143Alarm means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2420/00Indexing codes relating to the type of sensors based on the principle of their operation
    • B60W2420/40Photo, light or radio wave sensitive means, e.g. infrared sensors
    • B60W2420/403Image sensing, e.g. optical camera
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2420/00Indexing codes relating to the type of sensors based on the principle of their operation
    • B60W2420/40Photo, light or radio wave sensitive means, e.g. infrared sensors
    • B60W2420/408Radar; Laser, e.g. lidar
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2420/00Indexing codes relating to the type of sensors based on the principle of their operation
    • B60W2420/54Audio sensitive means, e.g. ultrasound
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10028Range image; Depth image; 3D point clouds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30232Surveillance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • G06T2207/30261Obstacle

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Geometry (AREA)
  • Mechanical Engineering (AREA)
  • Transportation (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Alarm Systems (AREA)

Abstract

Un sistema de captura de datos de modo dual incluye un controlador de captura, un generador de nube de puntos, un detector de colisión, una pluralidad de cámaras que visualizan un volumen de captura y un sensor de movimiento para generar una señal de detección cuando un objeto llega a una posición de captura dentro del volumen. El controlador: activa un subconjunto de cámaras en modo de detección de colisión para capturar secuencias de imágenes del volumen; en respuesta a la recepción de la señal de detección, activa las cámaras en un modo de dimensionamiento para capturar un conjunto síncrono de imágenes de la posición de captura. El detector de colisiones: determina si las secuencias de imágenes indican una posible colisión; y en respuesta a la detección de una posible colisión, genera una advertencia. El generador de nubes de puntos: recibe el conjunto síncrono de imágenes y genera una nube de puntos que representa el objeto basándose en el conjunto síncrono de imágenes, para su uso en la determinación de las dimensiones del objeto.
MX2021000973A 2018-09-06 2019-05-30 Sistema de captura de datos de modo dual para deteccion de colisiones y dimensionamiento de objetos. MX2021000973A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/123,594 US10611372B2 (en) 2018-09-06 2018-09-06 Dual-mode data capture system for collision detection and object dimensioning
PCT/US2019/034674 WO2020050888A1 (en) 2018-09-06 2019-05-30 Dual-mode data capture system for collision detection and object dimensioning

Publications (1)

Publication Number Publication Date
MX2021000973A true MX2021000973A (es) 2021-03-31

Family

ID=69720457

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021000973A MX2021000973A (es) 2018-09-06 2019-05-30 Sistema de captura de datos de modo dual para deteccion de colisiones y dimensionamiento de objetos.

Country Status (6)

Country Link
US (1) US10611372B2 (es)
CN (1) CN112639807B (es)
DE (1) DE112019004488B4 (es)
GB (1) GB2588744B (es)
MX (1) MX2021000973A (es)
WO (1) WO2020050888A1 (es)

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CN109472251B (zh) * 2018-12-16 2022-04-05 华为技术有限公司 一种物体碰撞预测方法及装置
CN111773723B (zh) * 2020-07-29 2024-10-25 网易(杭州)网络有限公司 碰撞检测方法和装置
US11749079B2 (en) * 2020-12-16 2023-09-05 Rovi Guides, Inc. Systems and methods to automatically perform actions based on media content
US20230121238A1 (en) * 2021-10-15 2023-04-20 International Business Machines Corporation Dynamic virtual network access
US20230192067A1 (en) * 2021-11-23 2023-06-22 Motional Ad Llc Motion planner constraint generation based on road surface hazards
CN117095540B (zh) * 2023-10-18 2024-01-23 四川数字交通科技股份有限公司 道路二次事故的预警方法、装置、电子设备及存储介质

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JP2000172878A (ja) 1998-12-09 2000-06-23 Sony Corp 情報処理装置および情報処理方法、並びに提供媒体
US7660436B2 (en) 2003-06-13 2010-02-09 Sarnoff Corporation Stereo-vision based imminent collision detection
US20050232463A1 (en) 2004-03-02 2005-10-20 David Hirvonen Method and apparatus for detecting a presence prior to collision
WO2010129907A2 (en) 2009-05-08 2010-11-11 Scientific Systems Company Inc. Method and system for visual collision detection and estimation
US8736704B2 (en) * 2011-03-25 2014-05-27 Apple Inc. Digital camera for capturing an image sequence
WO2014011552A1 (en) * 2012-07-09 2014-01-16 Elwha Llc Systems and methods for coordinating sensor operation for collision detection
US9142022B2 (en) * 2013-10-11 2015-09-22 Intel Corporation 3D object tracking
DE102014011821A1 (de) 2014-08-08 2016-02-11 Cargometer Gmbh Vorrichtung und Verfahren zur Volumenbestimmung eines durch ein Flurförderzeug bewegten Objekts
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Also Published As

Publication number Publication date
CN112639807A (zh) 2021-04-09
DE112019004488B4 (de) 2022-09-22
US20200079370A1 (en) 2020-03-12
US10611372B2 (en) 2020-04-07
GB202102901D0 (en) 2021-04-14
GB2588744B (en) 2021-12-01
DE112019004488T5 (de) 2021-07-15
WO2020050888A1 (en) 2020-03-12
CN112639807B (zh) 2022-04-19
GB2588744A (en) 2021-05-05

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