FR3107359B1 - Procede et dispositif de determination d'obstacles d'altitude - Google Patents
Procede et dispositif de determination d'obstacles d'altitude Download PDFInfo
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- FR3107359B1 FR3107359B1 FR2001594A FR2001594A FR3107359B1 FR 3107359 B1 FR3107359 B1 FR 3107359B1 FR 2001594 A FR2001594 A FR 2001594A FR 2001594 A FR2001594 A FR 2001594A FR 3107359 B1 FR3107359 B1 FR 3107359B1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/176—Urban or other man-made structures
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C39/00—Aircraft not otherwise provided for
- B64C39/02—Aircraft not otherwise provided for characterised by special use
- B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
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- 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
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
- G05D1/106—Change initiated in response to external conditions, e.g. avoidance of elevated terrain or of no-fly zones
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- G—PHYSICS
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- 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
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/17—Terrestrial scenes taken from planes or by drones
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64U—UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR
- B64U2101/00—UAVs specially adapted for particular uses or applications
- B64U2101/30—UAVs specially adapted for particular uses or applications for imaging, photography or videography
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- 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
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- 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
- G06T2207/10032—Satellite or aerial image; Remote sensing
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- 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
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- 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
- G06T2207/20084—Artificial neural networks [ANN]
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- 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
- G06T2207/30181—Earth observation
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- Aviation & Aerospace Engineering (AREA)
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Abstract
Procédé et dispositif de détermination d’obstacles d’altitude L’invention concerne un procédé et un dispositif de détermination d’obstacles d’altitude. Le procédé comporte, pour une zone géographique déterminée, l’obtention (50) d’images numériques aériennes de portions de terrain de ladite zone géographique à partir d’au moins une source d’images numériques aériennes, formant un ensemble d’images numériques aériennes couvrant ladite zone géographique. Le procédé comporte l’application (54) d’un premier traitement d’images aux images numériques dudit ensemble d’images pour obtenir un premier ensemble d’obstacles présents dans ladite zone géographique et une première estimation de hauteur associée, puis l’application (56) d’un deuxième traitement d’images aux images dudit ensemble d’images numériques pour obtenir un deuxième ensemble d’obstacles présents dans ladite zone géographique et une deuxième estimation de hauteur associée, supérieure ou égale à ladite hauteur minimale prédéterminée. En fonction des première et deuxième estimations de hauteur, un ensemble consolidé d’obstacles d’altitude, de hauteur supérieure ou égale à ladite hauteur minimale prédéterminée, présents dans ladite zone géographique, est obtenu (66, 68) et des attributs desdits obstacles d’altitude sont mémorisés (70). Figure pour l'abrégé : Figure 2
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR2001594A FR3107359B1 (fr) | 2020-02-18 | 2020-02-18 | Procede et dispositif de determination d'obstacles d'altitude |
PCT/EP2021/053730 WO2021165237A1 (fr) | 2020-02-18 | 2021-02-16 | Procédé et dispositif de détermination d'obstacles d'altitude |
US17/800,641 US20230069829A1 (en) | 2020-02-18 | 2021-02-16 | Method and device for determining altitude obstacles |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR2001594 | 2020-02-18 | ||
FR2001594A FR3107359B1 (fr) | 2020-02-18 | 2020-02-18 | Procede et dispositif de determination d'obstacles d'altitude |
Publications (2)
Publication Number | Publication Date |
---|---|
FR3107359A1 FR3107359A1 (fr) | 2021-08-20 |
FR3107359B1 true FR3107359B1 (fr) | 2022-02-25 |
Family
ID=72178610
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
FR2001594A Active FR3107359B1 (fr) | 2020-02-18 | 2020-02-18 | Procede et dispositif de determination d'obstacles d'altitude |
Country Status (3)
Country | Link |
---|---|
US (1) | US20230069829A1 (fr) |
FR (1) | FR3107359B1 (fr) |
WO (1) | WO2021165237A1 (fr) |
Family Cites Families (27)
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JPH06149376A (ja) * | 1992-11-05 | 1994-05-27 | Mitsubishi Electric Corp | 経路生成装置 |
US5943164A (en) * | 1994-11-14 | 1999-08-24 | Texas Instruments Incorporated | Curved 3-D object description from single aerial images using shadows |
IL155034A0 (en) * | 2003-03-23 | 2004-06-20 | M A M D Digital Data Proc Syst | Automatic aerial digital photography and digital data processing systems |
FR2853978B1 (fr) * | 2003-04-16 | 2006-02-03 | Eurocopter France | Procede et dispositif de securisation du vol d'un aeronef en conditions de vol aux instruments hors infrastructures de vol aux instruments |
US7440591B1 (en) * | 2003-11-12 | 2008-10-21 | Rockwell Collins, Inc. | Validation of terrain and obstacle databases |
FR2870606B1 (fr) * | 2004-05-18 | 2010-10-08 | Airbus France | Procede et dispositif de securisation d'un vol a basse altitude d'un aeronef |
US8600589B2 (en) * | 2012-04-24 | 2013-12-03 | Exelis, Inc. | Point cloud visualization of acceptable helicopter landing zones based on 4D LIDAR |
ITRM20130115A1 (it) * | 2013-02-28 | 2014-08-29 | Univ Roma La Sapienza | Procedura e dispositivo di matching per la modellizzazione digitale di oggetti mediante immagini stereoscopiche |
US20160085238A1 (en) * | 2013-08-30 | 2016-03-24 | Insitu, Inc. | Display of terrain along flight paths |
WO2015075700A1 (fr) * | 2013-11-25 | 2015-05-28 | First Resource Management Group Inc. | Appareil et procédé de gestion d'inventaire forestier |
US9384398B2 (en) * | 2014-06-11 | 2016-07-05 | Here Global B.V. | Method and apparatus for roof type classification and reconstruction based on two dimensional aerial images |
US10032311B1 (en) * | 2014-09-29 | 2018-07-24 | Rockwell Collins, Inc. | Synthetic image enhancing system, device, and method |
AU2015404580B2 (en) * | 2015-08-06 | 2018-12-13 | Accenture Global Services Limited | Condition detection using image processing |
US9761000B2 (en) * | 2015-09-18 | 2017-09-12 | Qualcomm Incorporated | Systems and methods for non-obstacle area detection |
US10008123B2 (en) * | 2015-10-20 | 2018-06-26 | Skycatch, Inc. | Generating a mission plan for capturing aerial images with an unmanned aerial vehicle |
CA2951533C (fr) * | 2015-12-10 | 2023-08-08 | Ocean Networks Canada Society | Generation automatisee de modeles d'elevation numeriques |
US9846975B2 (en) * | 2016-02-18 | 2017-12-19 | Skycatch, Inc. | Generating filtered, three-dimensional digital ground models utilizing multi-stage filters |
US10054445B2 (en) * | 2016-05-16 | 2018-08-21 | Northrop Grumman Systems Corporation | Vision-aided aerial navigation |
US10520943B2 (en) * | 2016-08-12 | 2019-12-31 | Skydio, Inc. | Unmanned aerial image capture platform |
EP4009128B1 (fr) * | 2016-11-14 | 2023-10-25 | SZ DJI Technology Co., Ltd. | Détermination de trajectoire de vol |
EP3652675A4 (fr) * | 2017-07-14 | 2021-03-24 | Memorial Sloan-Kettering Cancer Center | Classificateur d'images faiblement supervisé |
JP6962775B2 (ja) * | 2017-10-24 | 2021-11-05 | エスゼット ディージェイアイ テクノロジー カンパニー リミテッドSz Dji Technology Co., Ltd | 情報処理装置、空撮経路生成方法、プログラム、及び記録媒体 |
JP7218870B2 (ja) * | 2017-11-15 | 2023-02-07 | Necソリューションイノベータ株式会社 | 圃場の育種データ収集装置、育種における特徴解析装置、圃場の育種データ収集方法、プログラム、および記録媒体 |
KR102275572B1 (ko) * | 2018-12-21 | 2021-07-09 | 한국전자통신연구원 | 이종 고도 항공영상을 이용한 3차원 지형정보 정합 방법 및 장치 |
CN110264572B (zh) * | 2019-06-21 | 2021-07-30 | 哈尔滨工业大学 | 一种融合几何特性与力学特性的地形建模方法及*** |
CN114787876A (zh) * | 2019-06-25 | 2022-07-22 | 奥金股份有限公司 | 用于图像预处理的***和方法 |
DE102019134324A1 (de) * | 2019-12-13 | 2021-06-17 | Connaught Electronics Ltd. | Ein Verfahren zum Messen der Topografie einer Umgebung |
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2020
- 2020-02-18 FR FR2001594A patent/FR3107359B1/fr active Active
-
2021
- 2021-02-16 WO PCT/EP2021/053730 patent/WO2021165237A1/fr active Application Filing
- 2021-02-16 US US17/800,641 patent/US20230069829A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
FR3107359A1 (fr) | 2021-08-20 |
US20230069829A1 (en) | 2023-03-09 |
WO2021165237A1 (fr) | 2021-08-26 |
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