BR112018010981A2 - modelo de sensor de visão estéreo ciente de mapa estocástico - Google Patents
modelo de sensor de visão estéreo ciente de mapa estocásticoInfo
- Publication number
- BR112018010981A2 BR112018010981A2 BR112018010981A BR112018010981A BR112018010981A2 BR 112018010981 A2 BR112018010981 A2 BR 112018010981A2 BR 112018010981 A BR112018010981 A BR 112018010981A BR 112018010981 A BR112018010981 A BR 112018010981A BR 112018010981 A2 BR112018010981 A2 BR 112018010981A2
- Authority
- BR
- Brazil
- Prior art keywords
- stochastic map
- sensor model
- vision sensor
- stereo vision
- stochastic
- Prior art date
Links
- 238000000034 method Methods 0.000 abstract 3
- 238000005259 measurement Methods 0.000 abstract 2
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- 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
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
- G05D1/0274—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- 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
- G05D1/0251—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 3D information from a plurality of images taken from different locations, e.g. stereo vision
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/277—Analysis of motion involving stochastic approaches, e.g. using Kalman filters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
- G06T7/579—Depth or shape recovery from multiple images from motion
-
- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- 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
- G06T2207/10021—Stereoscopic video; Stereoscopic 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
- G06T2207/20076—Probabilistic image processing
-
- 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
- G06T2207/30241—Trajectory
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Electromagnetism (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
um método para definir um modelo de sensor inclui determinar uma probabilidade de obter uma medição a partir de múltiplas causas em potencial em um campo de visão de um sensor modelado com base em um mapa estocástico. o mapa estocástico inclui um nível de ocupação média para cada voxel no mapa estocástico e uma variância do nível de ocupação média para cada pixel. o método também inclui determinar uma probabilidade de obter uma imagem com base na probabilidade determinada de obter a medição. o método inclui ainda planejar uma ação para um robô, compreendendo o sensor, com base na probabilidade de obter a imagem.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201562262339P | 2015-12-02 | 2015-12-02 | |
US15/192,603 US10613546B2 (en) | 2015-12-02 | 2016-06-24 | Stochastic map-aware stereo vision sensor model |
PCT/US2016/061400 WO2017095604A1 (en) | 2015-12-02 | 2016-11-10 | Stochastic map-aware stereo vision sensor model |
Publications (1)
Publication Number | Publication Date |
---|---|
BR112018010981A2 true BR112018010981A2 (pt) | 2018-12-04 |
Family
ID=57421947
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112018010981A BR112018010981A2 (pt) | 2015-12-02 | 2016-11-10 | modelo de sensor de visão estéreo ciente de mapa estocástico |
Country Status (6)
Country | Link |
---|---|
US (1) | US10613546B2 (pt) |
EP (1) | EP3384358B1 (pt) |
KR (1) | KR102174873B1 (pt) |
CN (1) | CN108292138B (pt) |
BR (1) | BR112018010981A2 (pt) |
WO (1) | WO2017095604A1 (pt) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10134135B1 (en) * | 2015-08-27 | 2018-11-20 | Hrl Laboratories, Llc | System and method for finding open space efficiently in three dimensions for mobile robot exploration |
EP3803273A4 (en) * | 2018-10-29 | 2021-11-17 | DJI Technology, Inc. | REAL-TIME MAPPING TECHNIQUES IN A MOBILE OBJECT ENVIRONMENT |
EP3647728B1 (en) * | 2018-11-05 | 2023-06-21 | Toyota Jidosha Kabushiki Kaisha | Map information system |
CN111307166B (zh) * | 2018-12-11 | 2023-10-03 | 北京图森智途科技有限公司 | 一种构建占据栅格地图的方法及其装置、处理设备 |
US11314254B2 (en) * | 2019-03-26 | 2022-04-26 | Intel Corporation | Methods and apparatus for dynamically routing robots based on exploratory on-board mapping |
KR20210076412A (ko) * | 2019-12-16 | 2021-06-24 | 현대자동차주식회사 | 차량 센서 성능 평가 장치 및 그의 성능 평가 방법 |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2155593A1 (en) * | 1994-08-19 | 1996-02-20 | Takao Fujii | Vehicle navigation system with upgradeable navigation software and a flexible memory configuration |
US7302456B2 (en) | 2002-11-06 | 2007-11-27 | Matsushita Electric Industrial Co., Ltd. | Stochastic processor and stochastic computer using the same |
EP1851728A1 (en) | 2005-02-08 | 2007-11-07 | Seegrid Corporation | Multidimensional evidence grids and system and methods for applying same |
KR100611328B1 (ko) * | 2005-06-30 | 2006-08-11 | 고려대학교 산학협력단 | 세선화 기반 위상지도의 작성방법 및 그 장치, 이동로봇의탐사를 통한 세선화 기반 위상지도 작성방법 및 그 장치 |
CN100449444C (zh) * | 2006-09-29 | 2009-01-07 | 浙江大学 | 移动机器人在未知环境中同时定位与地图构建的方法 |
KR100787242B1 (ko) * | 2006-10-23 | 2007-12-21 | 포항공과대학교 산학협력단 | 격자의 점유 확률을 통한 형상 기반 지도의 신뢰도 평가방법 |
KR101382982B1 (ko) * | 2012-03-06 | 2014-04-09 | 고려대학교 산학협력단 | 로봇의 주행 경로 계획 장치 및 방법 |
US20130343640A1 (en) | 2012-06-21 | 2013-12-26 | Rethink Robotics, Inc. | Vision-guided robots and methods of training them |
US8630741B1 (en) | 2012-09-30 | 2014-01-14 | Nest Labs, Inc. | Automated presence detection and presence-related control within an intelligent controller |
KR101807484B1 (ko) | 2012-10-29 | 2017-12-11 | 한국전자통신연구원 | 객체 및 시스템 특성에 기반한 확률 분포 지도 작성 장치 및 그 방법 |
US9037396B2 (en) * | 2013-05-23 | 2015-05-19 | Irobot Corporation | Simultaneous localization and mapping for a mobile robot |
US20150339589A1 (en) | 2014-05-21 | 2015-11-26 | Brain Corporation | Apparatus and methods for training robots utilizing gaze-based saliency maps |
CN104035444B (zh) * | 2014-06-27 | 2016-08-24 | 东南大学 | 机器人地图构建存储方法 |
US10093021B2 (en) | 2015-12-02 | 2018-10-09 | Qualcomm Incorporated | Simultaneous mapping and planning by a robot |
US20170161946A1 (en) | 2015-12-03 | 2017-06-08 | Qualcomm Incorporated | Stochastic map generation and bayesian update based on stereo vision |
-
2016
- 2016-06-24 US US15/192,603 patent/US10613546B2/en active Active
- 2016-11-10 CN CN201680070304.2A patent/CN108292138B/zh active Active
- 2016-11-10 WO PCT/US2016/061400 patent/WO2017095604A1/en active Search and Examination
- 2016-11-10 KR KR1020187015236A patent/KR102174873B1/ko active IP Right Grant
- 2016-11-10 EP EP16802198.8A patent/EP3384358B1/en active Active
- 2016-11-10 BR BR112018010981A patent/BR112018010981A2/pt not_active Application Discontinuation
Also Published As
Publication number | Publication date |
---|---|
CN108292138B (zh) | 2021-06-01 |
US10613546B2 (en) | 2020-04-07 |
US20170161910A1 (en) | 2017-06-08 |
EP3384358B1 (en) | 2021-06-30 |
EP3384358A1 (en) | 2018-10-10 |
KR20180089417A (ko) | 2018-08-08 |
WO2017095604A1 (en) | 2017-06-08 |
CN108292138A (zh) | 2018-07-17 |
KR102174873B1 (ko) | 2020-11-05 |
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Legal Events
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B06U | Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette] | ||
B07A | Application suspended after technical examination (opinion) [chapter 7.1 patent gazette] | ||
B09B | Patent application refused [chapter 9.2 patent gazette] | ||
B12B | Appeal against refusal [chapter 12.2 patent gazette] |