MX2016013344A - Generacion de datos para la deteccion de limites de carriles en un entorno virtual. - Google Patents
Generacion de datos para la deteccion de limites de carriles en un entorno virtual.Info
- Publication number
- MX2016013344A MX2016013344A MX2016013344A MX2016013344A MX2016013344A MX 2016013344 A MX2016013344 A MX 2016013344A MX 2016013344 A MX2016013344 A MX 2016013344A MX 2016013344 A MX2016013344 A MX 2016013344A MX 2016013344 A MX2016013344 A MX 2016013344A
- Authority
- MX
- Mexico
- Prior art keywords
- virtual
- driving environment
- sensors
- data generation
- detection data
- Prior art date
Links
- 238000001514 detection method Methods 0.000 title 1
- 238000000034 method Methods 0.000 abstract 4
- 238000004088 simulation Methods 0.000 abstract 2
Classifications
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- 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
- B60W30/00—Purposes 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
- B60W30/10—Path keeping
- B60W30/12—Lane keeping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/776—Validation; Performance evaluation
-
- 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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
-
- 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/003—Navigation within 3D models or images
-
- 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
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
- G09B9/042—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles providing simulation in a real vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Multimedia (AREA)
- Evolutionary Computation (AREA)
- Educational Technology (AREA)
- Educational Administration (AREA)
- Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Aviation & Aerospace Engineering (AREA)
- Geometry (AREA)
- Medical Informatics (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- Computer Hardware Design (AREA)
- Automation & Control Theory (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Computer Graphics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
Un método y un aparato que conciernen a la generación de datos de entrenamiento. El método puede incluir la ejecución de un proceso de simulación. El proceso de simulación puede incluir instalar uno o más sensores virtuales a un entorno de conducción virtual que defina una pluralidad de señalizaciones de carriles u objetos virtuales que son detectables por el uno o más sensores virtuales. Durante la instalación, cada uno del uno o más sensores virtuales puede moverse respecto del entorno de conducción virtual según lo indicado por un modelo vehicular-dinámico que modele el movimiento de un vehículo que conduzca en una superficie de carretera virtual del entorno de conducción virtual mientras lleva el uno o más sensores virtuales. Los datos de sensores virtuales que caracterizan al entorno de conducción virtual pueden registrarse. Los datos de sensores virtuales pueden corresponderse con lo que un sensor real produciría en un entorno del mundo real que sea similar o que se condiga sustancialmente con el entorno de conducción virtual.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/885,099 US10176634B2 (en) | 2015-10-16 | 2015-10-16 | Lane boundary detection data generation in virtual environment |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2016013344A true MX2016013344A (es) | 2017-05-04 |
Family
ID=57610711
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2016013344A MX2016013344A (es) | 2015-10-16 | 2016-10-11 | Generacion de datos para la deteccion de limites de carriles en un entorno virtual. |
Country Status (6)
Country | Link |
---|---|
US (2) | US10176634B2 (es) |
CN (1) | CN106599767A (es) |
DE (1) | DE102016119128A1 (es) |
GB (1) | GB2544633A (es) |
MX (1) | MX2016013344A (es) |
RU (1) | RU2016139696A (es) |
Families Citing this family (29)
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US10304335B2 (en) | 2016-04-12 | 2019-05-28 | Ford Global Technologies, Llc | Detecting available parking spaces |
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 |
US10489529B2 (en) | 2016-10-14 | 2019-11-26 | Zoox, Inc. | Scenario description language |
WO2018125928A1 (en) * | 2016-12-29 | 2018-07-05 | DeepScale, Inc. | Multi-channel sensor simulation for autonomous control systems |
US10228693B2 (en) * | 2017-01-13 | 2019-03-12 | Ford Global Technologies, Llc | Generating simulated sensor data for training and validation of detection models |
US10481044B2 (en) * | 2017-05-18 | 2019-11-19 | TuSimple | Perception simulation for improved autonomous vehicle control |
US10831202B1 (en) * | 2017-09-01 | 2020-11-10 | Zoox, Inc. | Onboard use of scenario description language |
US10877476B2 (en) * | 2017-11-30 | 2020-12-29 | Tusimple, Inc. | Autonomous vehicle simulation system for analyzing motion planners |
US10860018B2 (en) * | 2017-11-30 | 2020-12-08 | Tusimple, Inc. | System and method for generating simulated vehicles with configured behaviors for analyzing autonomous vehicle motion planners |
AT520802B1 (de) * | 2017-12-21 | 2022-09-15 | Avl List Gmbh | Verfahren zur Analyse eines Automatisierungssystems einer Anlage, Emulator zum zumindest teilweise virtuellen Betreiben eines Automatisierungssystems einer Anlage und System zur Analyse eines Automatisierungssystems einer Anlage |
US10755115B2 (en) * | 2017-12-29 | 2020-08-25 | Here Global B.V. | Method, apparatus, and system for generating synthetic image data for machine learning |
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 |
US11537139B2 (en) * | 2018-03-15 | 2022-12-27 | Nvidia Corporation | Determining drivable free-space for autonomous vehicles |
US10891497B2 (en) | 2018-03-23 | 2021-01-12 | NetraDyne, Inc. | Traffic boundary mapping |
WO2019191306A1 (en) * | 2018-03-27 | 2019-10-03 | Nvidia Corporation | Training, testing, and verifying autonomous machines using simulated environments |
DE102018206189A1 (de) | 2018-04-23 | 2019-10-24 | Ford Global Technologies, Llc | System zum Testen eines selbstfahrenden Kraftfahrzeugs |
US20190340317A1 (en) * | 2018-05-07 | 2019-11-07 | Microsoft Technology Licensing, Llc | Computer vision through simulated hardware optimization |
CN108873896B (zh) * | 2018-06-15 | 2021-07-02 | 驭势科技(北京)有限公司 | 一种车道线模拟方法、装置及存储介质 |
US11030364B2 (en) * | 2018-09-12 | 2021-06-08 | Ford Global Technologies, Llc | Evaluating autonomous vehicle algorithms |
DK180774B1 (en) * | 2018-10-29 | 2022-03-04 | Motional Ad Llc | Automatic annotation of environmental features in a map during navigation of a vehicle |
US11338816B2 (en) * | 2019-02-02 | 2022-05-24 | Ford Global Technologies, Llc | Over-the-air flashing and reproduction of calibration data using data regression techniques |
WO2020199057A1 (zh) * | 2019-03-30 | 2020-10-08 | 深圳市大疆创新科技有限公司 | 一种自动驾驶模拟系统、方法、设备及存储介质 |
US11927502B2 (en) | 2019-04-29 | 2024-03-12 | Nvidia Corporation | Simulating realistic test data from transformed real-world sensor data for autonomous machine applications |
US11391257B2 (en) * | 2019-07-23 | 2022-07-19 | Ford Global Technologies, Llc | Power supply during vehicle startup |
US11529886B2 (en) | 2019-07-23 | 2022-12-20 | Ford Global Technologies, Llc | Power supply during vehicle off state |
CN111045425B (zh) * | 2019-12-05 | 2023-04-28 | 中国北方车辆研究所 | 一种地面无人车辆的辅助遥操作驾驶方法 |
CN113156911A (zh) * | 2020-01-22 | 2021-07-23 | 重庆金康新能源汽车有限公司 | 用于自动驾驶汽车规划和控制测试的组合的虚拟和现实环境 |
CN111857469B (zh) * | 2020-07-09 | 2021-10-15 | 中国第一汽车股份有限公司 | 一种道路环境信息的重构方法、装置及设备 |
CN116352756A (zh) * | 2022-11-25 | 2023-06-30 | 威凯检测技术有限公司 | 室内场景智能服务机器人避障功能检测系统及检测方法 |
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JP4361389B2 (ja) | 2004-02-26 | 2009-11-11 | 本田技研工業株式会社 | 道路交通シミュレーション装置 |
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DE102012004791A1 (de) * | 2012-03-07 | 2013-09-12 | Audi Ag | Verfahren zum Warnen des Fahrers eines Kraftfahrzeugs vor einer sich anbahnenden Gefahrensituation infolge eines unbeabsichtigten Driftens auf eine Gegenverkehrsfahrspur |
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-
2015
- 2015-10-16 US US14/885,099 patent/US10176634B2/en not_active Expired - Fee Related
-
2016
- 2016-10-07 DE DE102016119128.0A patent/DE102016119128A1/de active Pending
- 2016-10-11 MX MX2016013344A patent/MX2016013344A/es unknown
- 2016-10-11 RU RU2016139696A patent/RU2016139696A/ru not_active Application Discontinuation
- 2016-10-11 GB GB1617251.2A patent/GB2544633A/en not_active Withdrawn
- 2016-10-11 CN CN201610886221.2A patent/CN106599767A/zh active Pending
-
2018
- 2018-11-29 US US16/204,553 patent/US10453256B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
GB201617251D0 (en) | 2016-11-23 |
US20190096128A1 (en) | 2019-03-28 |
CN106599767A (zh) | 2017-04-26 |
GB2544633A (en) | 2017-05-24 |
DE102016119128A1 (de) | 2017-04-20 |
US20170109928A1 (en) | 2017-04-20 |
RU2016139696A (ru) | 2018-04-11 |
US10453256B2 (en) | 2019-10-22 |
US10176634B2 (en) | 2019-01-08 |
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