Nothing Special   »   [go: up one dir, main page]

MX2017011507A - Estimacion de distancia de objeto mediante el uso de datos de una unica camara. - Google Patents

Estimacion de distancia de objeto mediante el uso de datos de una unica camara.

Info

Publication number
MX2017011507A
MX2017011507A MX2017011507A MX2017011507A MX2017011507A MX 2017011507 A MX2017011507 A MX 2017011507A MX 2017011507 A MX2017011507 A MX 2017011507A MX 2017011507 A MX2017011507 A MX 2017011507A MX 2017011507 A MX2017011507 A MX 2017011507A
Authority
MX
Mexico
Prior art keywords
component
motion
model
image
camera
Prior art date
Application number
MX2017011507A
Other languages
English (en)
Inventor
Nariyambut Murali Vidya
J Goh Madeline
Zhang Yi
Original Assignee
Ford Global Tech Llc
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 Ford Global Tech Llc filed Critical Ford Global Tech Llc
Publication of MX2017011507A publication Critical patent/MX2017011507A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G06T7/251—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving models
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/14—Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
    • G05D1/0253—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means extracting relative motion information from a plurality of images taken successively, e.g. visual odometry, optical flow
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
    • 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
    • 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
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/30261—Obstacle

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Electromagnetism (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Geometry (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)

Abstract

La presente solicitud se refiere a sistemas y métodos para estimar o determinar el movimiento de un vehículo y/o la distancia a objetos dentro de la vista de una cámara. Un sistema para determinar el movimiento de un vehículo incluye una cámara monocular montada en un vehículo, un componente de imagen, un componente de elemento, un componente de parámetro de modelo, un componente de selección de modelo y un componente de movimiento. El componente de imagen obtiene una serie de cuadros de imagen capturados por la cámara monocular. El componente de elemento identifica los elementos de imagen correspondientes en cuadros de imagen adyacentes dentro de la serie de cuadros de imagen. El componente de parámetro de modelo determina los parámetros de un modelo de movimiento plano y un modelo de movimiento no plano en función de los elementos de imagen. El componente de selección de modelo selecciona el modelo de movimiento plano o el modelo de movimiento no plano como un modelo de movimiento seleccionado. El componente de movimiento determina un movimiento de cámara en función de los parámetros para el modelo de movimiento seleccionado.
MX2017011507A 2016-09-08 2017-09-07 Estimacion de distancia de objeto mediante el uso de datos de una unica camara. MX2017011507A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/259,724 US20180068459A1 (en) 2016-09-08 2016-09-08 Object Distance Estimation Using Data From A Single Camera

Publications (1)

Publication Number Publication Date
MX2017011507A true MX2017011507A (es) 2018-09-21

Family

ID=60037153

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017011507A MX2017011507A (es) 2016-09-08 2017-09-07 Estimacion de distancia de objeto mediante el uso de datos de una unica camara.

Country Status (6)

Country Link
US (1) US20180068459A1 (es)
CN (1) CN107808390A (es)
DE (1) DE102017120709A1 (es)
GB (1) GB2555699A (es)
MX (1) MX2017011507A (es)
RU (1) RU2017130021A (es)

Families Citing this family (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10678244B2 (en) 2017-03-23 2020-06-09 Tesla, Inc. Data synthesis for autonomous control systems
US10671349B2 (en) 2017-07-24 2020-06-02 Tesla, Inc. Accelerated mathematical engine
US11893393B2 (en) 2017-07-24 2024-02-06 Tesla, Inc. Computational array microprocessor system with hardware arbiter managing memory requests
US11157441B2 (en) 2017-07-24 2021-10-26 Tesla, Inc. Computational array microprocessor system using non-consecutive data formatting
US11409692B2 (en) 2017-07-24 2022-08-09 Tesla, Inc. Vector computational unit
US10551838B2 (en) * 2017-08-08 2020-02-04 Nio Usa, Inc. Method and system for multiple sensor correlation diagnostic and sensor fusion/DNN monitor for autonomous driving application
US11561791B2 (en) 2018-02-01 2023-01-24 Tesla, Inc. Vector computational unit receiving data elements in parallel from a last row of a computational array
DE102018204451A1 (de) 2018-03-22 2019-09-26 Conti Temic Microelectronic Gmbh Verfahren und Vorrichtung zur Autokalibrierung eines Fahrzeugkamerasystems
US11215999B2 (en) 2018-06-20 2022-01-04 Tesla, Inc. Data pipeline and deep learning system for autonomous driving
US11361457B2 (en) 2018-07-20 2022-06-14 Tesla, Inc. Annotation cross-labeling for autonomous control systems
US11636333B2 (en) 2018-07-26 2023-04-25 Tesla, Inc. Optimizing neural network structures for embedded systems
JP7240115B2 (ja) * 2018-08-31 2023-03-15 キヤノン株式会社 情報処理装置及びその方法及びコンピュータプログラム
US11562231B2 (en) 2018-09-03 2023-01-24 Tesla, Inc. Neural networks for embedded devices
CN110955237A (zh) * 2018-09-27 2020-04-03 台湾塔奇恩科技股份有限公司 移动载具的教导路径模块
SG11202103493QA (en) 2018-10-11 2021-05-28 Tesla Inc Systems and methods for training machine models with augmented data
US11196678B2 (en) 2018-10-25 2021-12-07 Tesla, Inc. QOS manager for system on a chip communications
US11816585B2 (en) 2018-12-03 2023-11-14 Tesla, Inc. Machine learning models operating at different frequencies for autonomous vehicles
US11537811B2 (en) 2018-12-04 2022-12-27 Tesla, Inc. Enhanced object detection for autonomous vehicles based on field view
US11610117B2 (en) 2018-12-27 2023-03-21 Tesla, Inc. System and method for adapting a neural network model on a hardware platform
US11150664B2 (en) 2019-02-01 2021-10-19 Tesla, Inc. Predicting three-dimensional features for autonomous driving
US10997461B2 (en) 2019-02-01 2021-05-04 Tesla, Inc. Generating ground truth for machine learning from time series elements
US11567514B2 (en) 2019-02-11 2023-01-31 Tesla, Inc. Autonomous and user controlled vehicle summon to a target
US10956755B2 (en) 2019-02-19 2021-03-23 Tesla, Inc. Estimating object properties using visual image data
JP7332403B2 (ja) * 2019-09-11 2023-08-23 株式会社東芝 位置推定装置、移動体制御システム、位置推定方法およびプログラム
KR20210061839A (ko) 2019-11-20 2021-05-28 삼성전자주식회사 전자 장치 및 그 제어 방법
CN110889361A (zh) * 2019-11-20 2020-03-17 北京影谱科技股份有限公司 基于图像序列的orb特征视觉里程计学习方法和装置
KR20210094475A (ko) 2020-01-21 2021-07-29 팅크웨어(주) 차량 영상 기반의 차간 거리 측정 방법, 차간 거리 측정 장치, 전자 기기, 컴퓨터 프로그램 및 컴퓨터 판독 가능한 기록 매체
US11680813B2 (en) * 2020-01-21 2023-06-20 Thinkware Corporation Method, apparatus, electronic device, computer program, and computer readable recording medium for measuring inter-vehicle distance based on vehicle image
CN113340313B (zh) * 2020-02-18 2024-04-16 北京四维图新科技股份有限公司 导航地图参数确定方法及装置

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6192145B1 (en) * 1996-02-12 2001-02-20 Sarnoff Corporation Method and apparatus for three-dimensional scene processing using parallax geometry of pairs of points
US9615064B2 (en) * 2010-12-30 2017-04-04 Pelco, Inc. Tracking moving objects using a camera network
US8831290B2 (en) * 2012-08-01 2014-09-09 Mitsubishi Electric Research Laboratories, Inc. Method and system for determining poses of vehicle-mounted cameras for in-road obstacle detection
US9734586B2 (en) * 2012-09-21 2017-08-15 The Schepens Eye Research Institute, Inc. Collision prediction
DE102013202166A1 (de) * 2013-02-11 2014-08-28 Rausch & Pausch Gmbh Linearaktuator
US9563951B2 (en) * 2013-05-21 2017-02-07 Magna Electronics Inc. Vehicle vision system with targetless camera calibration
EP2851870B1 (en) * 2013-09-20 2019-01-23 Application Solutions (Electronics and Vision) Limited Method for estimating ego motion of an object
US9495761B2 (en) * 2013-11-04 2016-11-15 The Regents Of The University Of California Environment mapping with automatic motion model selection
JP6201148B2 (ja) * 2013-12-20 2017-09-27 パナソニックＩｐマネジメント株式会社 キャリブレーション装置、キャリブレーション方法、キャリブレーション機能を備えた移動体搭載用カメラ及びプログラム
US20170005316A1 (en) * 2015-06-30 2017-01-05 Faraday&Future Inc. Current carrier for vehicle energy-storage systems

Also Published As

Publication number Publication date
DE102017120709A1 (de) 2018-03-08
GB201713809D0 (en) 2017-10-11
GB2555699A (en) 2018-05-09
US20180068459A1 (en) 2018-03-08
RU2017130021A (ru) 2019-02-25
CN107808390A (zh) 2018-03-16

Similar Documents

Publication Publication Date Title
MX2017011507A (es) Estimacion de distancia de objeto mediante el uso de datos de una unica camara.
MX2017012837A (es) Deteccion de obstaculos traseros y estimacion de distancia.
EP3548353A4 (en) SYSTEM AND METHOD FOR ESTIMATING VEHICLE MOVEMENT BASED ON MONOCULAR VIDEO DATA
MX2019005042A (es) Metodos, sistemas y aparatos para segmentar objetos.
WO2014032020A3 (en) Feature based high resolution motion estimation from low resolution images captured using an array source
EP4220537A3 (en) Road profile along a predicted path
MY181027A (en) Inventory, growth, and risk prediction using image processing
EP2922020A3 (en) Point spread function estimation for motion invariant images
WO2014172059A3 (en) Reference image selection for motion ghost filtering
WO2015134795A3 (en) Method and system for 3d capture based on structure from motion with pose detection tool
EP3270207A3 (en) Multi-camera laser scanner
WO2015119838A3 (en) Controlling a robot in the presence of a moving object
WO2013177125A3 (en) System and method for managing spatiotemporal uncertainty
IN2014MN02386A (es)
EP2811424A3 (en) Method and apparatus for training an estimator for estimating a pose of an articulated object
WO2014055355A3 (en) Systems and methods for 3d pose estimation
WO2013149916A3 (de) Verfahren und vorrichtung zur optischen bestimmung einer position und/oder orientierung eines objekts im raum
MX2016010742A (es) Dispositivo de calculo de la ubicacion propia y metodo de calculo de la ubicacion propia.
WO2014125502A3 (en) Segmenting objects in multimedia data
EP2945118A3 (en) Stereo source image calibration method and apparatus
EP3026520A3 (en) Moving amount estimating apparatus, autonomous mobile body, and moving amount estimating method
GB2533516A (en) Target direction determination method and system
EP2757522A3 (en) Method and apparatus for image fusion
CA2916849C (en) Georeferencing method and system
WO2015168780A3 (en) Indexing method and system