Drones : outils du futur pour les géomètres ? | Le blog d'Alexandre Cazaux Ils font l’actualité dans de multiples domaines : opérations militaires, prises de vue pour la réalisation de films, loisirs … Ils sont en train de faire une incursion de plus en plus remarquée dans le domaine de la géomatique : ce sont les drones. Ces appareils sont constitués d’une plate-forme (structure, motorisation, système de guidage, systèmes de contrôle, capteurs, etc.) et d’une charge utile. Cette charge utile, dans le cas d’appareils légers, se limite à un appareil photo. Plus la charge utile est lourde, plus la plate-forme doit être dimensionnée en conséquence, notamment pour garder assez d’agilité dans le pilotage du drone. Dans cet article, nous nous intéresserons aux drones pour des applications en géomatique. Deux types principaux de solutions existent : les quadricoptères : la portance du drone est assurée par les rotors. Les quadricoptères Les ailes volantes En Europe, deux grands fabricants produisent des ailes volantes à destination des professionnels de la géomatique.
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Using UAV for automatic lithological classification of open pit mining front References Download - Téléchargement - LOGICIELS Toutes les instructions d’installation à jour et les liens sont disponibles ici : All up-to-date installation instructions and links are available here : micmac.ensg.eu Vous pouvez télécharger le code source en cours de développement à partir du dépôt git : You can download MicMac source code from git repository : Des jeux tests sont téléchargeables sur micmac.ensg.eu ou micmac.ensg.eu/data Download datasets from micmac.ensg.eu Forum
BigSFM: Reconstructing the World from Internet Photos Our group is working on building a 3D model of the world from online photo collections, and our research spans several areas, from image features, to large-scale image matching, to structure-from-motion optimization, to applications such as location recognition. This page summarizes our work, has links to code and datasets we have made available, and has a description of each project. Cornell Participants (and alumni): Noah Snavely (Cornell), David Crandall (Indiana University), Daniel Hauagge (Cornell),Kyle Wilson (Cornell), Song Cao (Cornell), Yin Lou (Cornell), Yunpeng Li (EPFL), Andrew Owens (MIT),Johannes Gehrke (Cornell) Dan Huttenlocher (Cornell) Other Collaborators: Sameer Agarwal (University of Washington and Google), Brian Curless (UW), Yasutaka Furukawa (Google), Steve Seitz (UW), Ian Simon (UW), Rick Szeliski (Microsoft Research) We gratefully acknowledge the support of the following sponsors: Sample Videos Datasets Synopsis: Repeated features are common in urban scenes. Papers:
Geological models from photogrammetry | GEOREKA Software With the incredible explosion of drones on the market, more and more uses are starting to be developed. One of the more straight forward applications is creating a 3D capture of outcrops. Using photogrammetry techniques to reconstruct 3D geological models of the drone footage we can use accurate surface information. Drones are already heavily used in the industrial minerals industry where they are used to produce highly detailed DTM’s (digital terrain models) for measuring stockpiles and up-to-date mine surveys for planning. I believe photogrammetry can also be a real asset to any stage of an exploration project. It provides a lot more information than just a surface or some photos. Photogrammetry without drones If drones are not available or not practical (you need a lot of batteries and chargers) in remote areas, why not use your normal camera instead? From outcrop to geological models Just a 3D outcrop without texture shows much less information
Un drone fonctionnant à l'hydrogène promettant une autonomie de 4 heures Qu’est ce qui différencie un drone d’un autre drone ? Pour les moins bien renseignés, pas grand-chose. Et pourtant, le marché se développe, portant de nombreuses offres plus ou moins abouties. Mais l’Hycopter a clairement son truc en plus... Le marché des drones a explosé ces dernières années. Et malgré les nombreuses affaires d’espionnage et les problématiques de respecte de la vie privée, ces engins volants continuent d’avoir la cote. Le secret d’Hycopter est qu’il se sert d’une source d’énergie inédite pour se maintenir un maximum de temps en vol. Un premier vol pour ce drone est prévu cette année.
Bundler - Structure from Motion (SfM) for Unordered Image Collections What is Bundler? Bundler is a structure-from-motion (SfM) system for unordered image collections (for instance, images from the Internet) written in C and C++. An earlier version of this SfM system was used in the Photo Tourism project. For structure-from-motion datasets, please see the BigSFM page. Bundler takes a set of images, image features, and image matches as input, and produces a 3D reconstruction of camera and (sparse) scene geometry as output. The Bundler source distribution also contains potentially userful implementations of several computer vision algorithms, including: F-matrix estimation Calibrated 5-point relative pose Triangulation of multiple rays Bundler produces sparse point clouds.
Mapping with drones • Exploring the Earth Intro: An exciting part of being a PhD student is being surrounded by new ideas and technology that pushes forward your field of study. On an undergraduate geology field trip to Freycinet National Park, Tasmania, I was part of a team in conjunction with our new TMVC hub (i.e. ARC Industrial Transformation Research Hub, Transforming the Mining Value Chain) at the University of Tasmania, to teach the undergraduate students geological mapping. What was different about this was that we integrated high-resolution photographs taken from an aerial drone with a mapping technique used in mineral exploration and ore deposit studies. Are exercise took place on a beautiful outcrop near Bluestone Bay, Freycinet Peninsula, Tasmania, Australia. An aerial done (UAV) with a student mapping in the background – Freycinet Peninsula, Tasmania, Australia Science Spiel: Mapping and drones First published geological map, by William Smith in 1815 Geology is very much an observational-based science. Dr. -Stephanie
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