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MX2017008974A - Sistema virtual de generacion de datos de sensor y metodo que soporta el desarrollo de algoritmos que facilitan la navegacion de cruces ferroviarios en diversas condiciones meteorologicas. - Google Patents

Sistema virtual de generacion de datos de sensor y metodo que soporta el desarrollo de algoritmos que facilitan la navegacion de cruces ferroviarios en diversas condiciones meteorologicas.

Info

Publication number
MX2017008974A
MX2017008974A MX2017008974A MX2017008974A MX2017008974A MX 2017008974 A MX2017008974 A MX 2017008974A MX 2017008974 A MX2017008974 A MX 2017008974A MX 2017008974 A MX2017008974 A MX 2017008974A MX 2017008974 A MX2017008974 A MX 2017008974A
Authority
MX
Mexico
Prior art keywords
virtual
road surface
data
virtual sensor
sensor
Prior art date
Application number
MX2017008974A
Other languages
English (en)
Inventor
Elizabeth Micks Ashley
Banvait Harpreetsingh
Vincent Myers Scott
Kadetotad Sneha
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 MX2017008974A publication Critical patent/MX2017008974A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/15—Vehicle, aircraft or watercraft design
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W50/00—Details 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
    • B60W2050/0001—Details of the control system
    • B60W2050/0019—Control system elements or transfer functions
    • B60W2050/0028—Mathematical models, e.g. for simulation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Graphics (AREA)
  • Software Systems (AREA)
  • Evolutionary Biology (AREA)
  • Traffic Control Systems (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
  • Navigation (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Processing Or Creating Images (AREA)

Abstract

Se describe un método para generar datos de entrenamiento. El método puede incluir ejecutar un proceso de simulación. El proceso de simulación puede incluir hacer cruzar un sensor virtual que mira hacia adelante a través de una superficie de camino virtual que define al menos un cruce ferroviario virtual. Durante el cruce, el sensor virtual puede moverse con respecto a la superficie de camino virtual según lo indique un modelo de movimiento del vehículo que modela el movimiento de un vehículo que conduce sobre la superficie de camino virtual mientras transporta el sensor virtual. Pueden registrarse datos del sensor virtual que caractericen la superficie de camino virtual. Los datos del sensor virtual pueden corresponder a lo que hubiera producido un sensor real si hubiera detectado la superficie del camino en el mundo real.
MX2017008974A 2016-07-07 2017-07-06 Sistema virtual de generacion de datos de sensor y metodo que soporta el desarrollo de algoritmos que facilitan la navegacion de cruces ferroviarios en diversas condiciones meteorologicas. MX2017008974A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/204,857 US11210436B2 (en) 2016-07-07 2016-07-07 Virtual sensor-data-generation system and method supporting development of algorithms facilitating navigation of railway crossings in varying weather conditions

Publications (1)

Publication Number Publication Date
MX2017008974A true MX2017008974A (es) 2018-09-10

Family

ID=59676773

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017008974A MX2017008974A (es) 2016-07-07 2017-07-06 Sistema virtual de generacion de datos de sensor y metodo que soporta el desarrollo de algoritmos que facilitan la navegacion de cruces ferroviarios en diversas condiciones meteorologicas.

Country Status (6)

Country Link
US (1) US11210436B2 (es)
CN (1) CN107590301B (es)
DE (1) DE102017115049A1 (es)
GB (1) GB2554146A (es)
MX (1) MX2017008974A (es)
RU (1) RU2017123528A (es)

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Also Published As

Publication number Publication date
CN107590301B (zh) 2023-05-26
RU2017123528A (ru) 2019-01-10
GB201710900D0 (en) 2017-08-23
DE102017115049A1 (de) 2018-01-11
US20180011954A1 (en) 2018-01-11
US11210436B2 (en) 2021-12-28
CN107590301A (zh) 2018-01-16
GB2554146A (en) 2018-03-28

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