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
Links
- 238000000034 method Methods 0.000 title abstract 5
- 238000004088 simulation Methods 0.000 abstract 2
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; 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
- G06V20/588—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; CALCULATING OR 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)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Aviation & Aerospace Engineering (AREA)
- Automation & Control Theory (AREA)
- Mathematical Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (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)
- Length Measuring Devices By Optical Means (AREA)
- Processing Or Creating Images (AREA)
- Navigation (AREA)
- Train Traffic Observation, Control, And Security (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.
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) |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
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US10521677B2 (en) * | 2016-07-14 | 2019-12-31 | Ford Global Technologies, Llc | Virtual sensor-data-generation system and method supporting development of vision-based rain-detection algorithms |
US11080441B2 (en) * | 2017-10-12 | 2021-08-03 | Suntracker Technologies Ltd. | Supervised training data generation for interior environment simulation |
DE102018203082A1 (de) * | 2018-03-01 | 2019-09-05 | Siemens Aktiengesellschaft | Automatisches Konfigurationssystem für ein Wahrnehmungssystem, Verfahren zum Betreiben eines automatischen Konfigurationssystems, autonomes System mit einem Wahrnehmungssystem sowie Computerprogrammprodukt |
US10663963B2 (en) * | 2018-08-03 | 2020-05-26 | Here Global B.V. | Method and apparatus for visualizing future events for passengers of autonomous vehicles |
US10754030B2 (en) * | 2018-10-23 | 2020-08-25 | Baidu Usa Llc | Methods and systems for radar simulation and object classification |
CN110134024A (zh) * | 2018-11-12 | 2019-08-16 | 初速度(苏州)科技有限公司 | 车辆自动驾驶虚拟环境中特殊标志物的构建方法 |
US11292810B2 (en) | 2018-12-18 | 2022-04-05 | Merck Sharp & Dohme Corp. | Inclusion complexes of an HCV NS5B inhibitor and uses thereof |
CN111144015A (zh) * | 2019-12-30 | 2020-05-12 | 吉林大学 | 一种自动驾驶汽车虚拟场景库构建方法 |
EP3967565B1 (en) * | 2020-09-14 | 2022-09-28 | Bayerische Motoren Werke Aktiengesellschaft | Methods and apparatuses for estimating an environmental condition |
CN116822024B (zh) * | 2023-06-28 | 2024-06-25 | 西南交通大学 | 一种铁路桥上多线列车最不利交会位置的确定方法 |
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JP3028365B2 (ja) * | 1996-09-30 | 2000-04-04 | 財団法人鉄道総合技術研究所 | 踏切動作解析システム |
US6236908B1 (en) * | 1997-05-07 | 2001-05-22 | Ford Global Technologies, Inc. | Virtual vehicle sensors based on neural networks trained using data generated by simulation models |
US6553308B1 (en) | 1999-04-29 | 2003-04-22 | Donnelly Corporation | Vehicle-based navigation system with smart map filtering, portable unit home-base registration and multiple navigation system preferential use |
KR20000013675A (ko) | 1998-08-12 | 2000-03-06 | 밍 루 | 차량 주행 모의 실험장치 |
EP1751499B1 (en) * | 2004-06-03 | 2012-04-04 | Making Virtual Solid, L.L.C. | En-route navigation display method and apparatus using head-up display |
JP4541973B2 (ja) * | 2005-06-09 | 2010-09-08 | 富士通テン株式会社 | 運転支援装置および運転支援方法 |
US8751154B2 (en) | 2008-04-24 | 2014-06-10 | GM Global Technology Operations LLC | Enhanced clear path detection in the presence of traffic infrastructure indicator |
DE102009053509A1 (de) | 2009-11-16 | 2011-05-19 | Valeo Schalter Und Sensoren Gmbh | Verfahren zum simulativen Ermitteln von Messeigenschaften eines Sensors eines Kraftfahrzeugs und Rechensystem |
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CN102426425B (zh) | 2011-11-08 | 2013-07-17 | 重庆邮电大学 | 一种汽车abs虚拟现实仿真系统 |
JP5673597B2 (ja) * | 2011-11-18 | 2015-02-18 | 株式会社デンソー | 車両用挙動制御装置 |
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-
2016
- 2016-07-07 US US15/204,857 patent/US11210436B2/en active Active
-
2017
- 2017-07-04 RU RU2017123528A patent/RU2017123528A/ru not_active Application Discontinuation
- 2017-07-05 DE DE102017115049.8A patent/DE102017115049A1/de active Pending
- 2017-07-05 CN CN201710541061.2A patent/CN107590301B/zh active Active
- 2017-07-06 MX MX2017008974A patent/MX2017008974A/es unknown
- 2017-07-06 GB GB1710900.0A patent/GB2554146A/en not_active Withdrawn
Also Published As
Publication number | Publication date |
---|---|
RU2017123528A (ru) | 2019-01-10 |
GB2554146A (en) | 2018-03-28 |
US20180011954A1 (en) | 2018-01-11 |
CN107590301B (zh) | 2023-05-26 |
CN107590301A (zh) | 2018-01-16 |
DE102017115049A1 (de) | 2018-01-11 |
US11210436B2 (en) | 2021-12-28 |
GB201710900D0 (en) | 2017-08-23 |
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