
Unmanned vehicles

Photo d'illustration: Le pont Bukhang à Busan en Corée du Sud (crédits: Jens-Olaf Walter / Flickr Creative Commons Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0))

Photo: Proposed communications architecture (credits: Tiago M. Fernández-Caramés, Oscar Blanco-Novoa, Manuel Suárez-Albela and Paula Fraga-Lamas)

Photo d'illustration: Les producteurs de blé Noah Williams (à gauche) et Garrett Duyck, spécialiste de la conservation des sols au Service de la conservation des ressources naturelles, suivent les données des capteurs de sol installés sur un champ de blé couvert et un champ de blé en jachère. Les données aideront Williams à élaborer un plan de culture de couverture qui maximise l’humidité du sol. (crédits: NRCS Oregon / Flickr Creative Commons Attribution-NoDerivs 2.0 Generic (CC BY-ND 2.0))

Photo: Driverless vehicles are combined with delivery robots to deploy packages all the way to the consumer. © Continental AG

Illustration Photo: California Citrus (credits: Jasperdo / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

Photo: The Intel Falcon 8+ drone conducts a visual inspection of the historic Stone Arch Bridge in Minneapolis. Working with the Minnesota Department of Transportation and Collins Engineers, Intel used its commercial drone technology to help automate and expedite inspection of the pedestrian and bicycle bridge. (Credit: Intel Corporation)
Album | Unmanned vehicles |
Categories | Bridge Inspections, Drone, Intel, USA |

Illustration Photo: Multiple-Rotor Remote Sensing Aerial Copter (credits: University of Arkansas Division of Agriculture photo by Mary Hightower / Flickr Creative Commons Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0))

Picture: Proposed UAV IoT architecture. (credits: Thomas Lagkas, Vasileios Argyriou, Stamatia Bibi and Panagiotis Sarigiannidis)
Album | Unmanned vehicles |
Categories | 5G technologies, Drones, IoT, UAV |

Photo: Hycopter, long endurance hydrogen-electric drone (credit: HES Energy Systems)
Album | Unmanned vehicles |
Categories | Drone, HES Energy Systems, Hydrogen |

Photo: Mike Gore, Ph.D. '09, and his lab conduct research using remote sensing technology to explore the genetic basis of trait variation in crops such as corn, oat and cassava. The research leads to more efficient and effective selection of plant variations for the high-yielding, or highly nutritious, cultivar that can help feed the world's population. Gore is also part of the leadership in recently formed CIDA Cornell Initiative for Digital Agriculture, which is leveraging digital innovations in agriculture to improve the sustainability, profitability, resiliency and efficiency of the world's food systems. Credit: Lindsay France, Cornell University

Photo d'illustration: Système sans pilote Desert Hawk (crédits: Think Defence / Flickr Creative Commons Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0))
Album | Unmanned vehicles |
Categories | Blockchain, Drones, electrification, Intelligence Artificielle, télédétection, véhicules sans pilote |

Photo: U.S. Army pilot Lt. Col. Carl Ott controls an S-76B helicopter via tablet, as it hovers above a field in Fort Eustis, Virginia (credit: DARPA)

Illustration Photo: Aerial footage of palm oil and the forest in Sentabai Village, West Kalimantan, Indonesia (credits: Nanang Sujana / CIFOR / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

Illustration: Rolls-Royce’s Intelligent Awareness System (IA) uses AI-powered sensor fusion and decision-making by processing data from lidar, radar, thermal cameras, HD cameras, satellite data and weather forecasts (credit: Rolls-Royce)

Illustration Photo: Agricultural drone at Steve & Lizabeth Sigdestad Farm (credits: USDA NRCS South Dakota / Flickr Creative Commons Attribution-ShareAlike 2.0 Generic (CC BY-SA 2.0))
Album | Unmanned vehicles |
Categories | farming, precision farming, Robots |

Illustration Photo: Drone over York River (credits: D. Gong / VIMS / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))
Album | Unmanned vehicles |
Categories | Drones, safety, transport |

Illustration Photo: Rice field (Public Domain from Pixabay.com)
Album | Unmanned vehicles |
Categories | Drone, Precision Agriculture |

Illustration Photo: 3DR Solo drone (credits: USGS Unmanned Aircraft Systems / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))

Illustration Photo: Coast Guard Research and Development Center personnel test an unmanned maritime system from the Coast Guard Cutter Healy in the Arctic, July 29, 2017. (credits: U.S. Coast Guard photo by Petty Officer 2nd Class Meredith Manning / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

Figure: Data acquisition diagram.
Album | Unmanned vehicles |
Categories | Crop Spraying, Drone, Precision Agriculture, UAV |

Illustration of a drone flies along a coastline to collect data from deployed sensors. By mainstream open-source or commercial flight controllers, a flight path consists of a sequence of way-points that the drone visits and makes turn at, so they are also called turning points (red solid points). More turning points means more energy consumption of the drone since more flight time and distance to cover, however, it also means closer the drone can fly to sensors to collect data. Fewer turning points consumes less drone energy, but cost sensors to use higher power to transmit data due to the longer distance. The best trade-off with limited drone and sensors energy must be found. (credits: Runqun Xiong and Feng Shan)
Album | Unmanned vehicles |
Category | UAVs |

Illustration Photo: Agricultural drone (CC0 Creative Commons from Pixabay.com)
Album | Unmanned vehicles |
Categories | Agriculture, Drones |

Figure: Software developed to monitor all the information in real time. (credits: Alberto Rivas, Pablo Chamoso, Alfonso González-Briones and Juan Manuel Corchado)
Album | Unmanned vehicles |
Categories | Cattle, Drones |

Photo: Le robot Quad-Morphing (© Valentin Rivière et Stéphane Viollet, Institut des sciences du mouvement – Étienne Jules Marey (CNRS/Aix-Marseille Université).)
Album | Unmanned vehicles |
Category | robot aérien |

Photo: iBubble Team (credit: Notilo Plus)
Album | Unmanned vehicles |
Categories | France, Startup |

Photo: The overall air-ground multi-sensor monitoring system (credits: Yawei Zhang, Du Chen, Shumao Wang, Lei Tian)

Illustration Photo: Sorghum field (credits: Harry Rose / Flickr Creative Commons Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0))

Photo: Xcel Energy, a leader in using drone technology to inspect energy infrastructure, will be the first utility in the nation to routinely fly unmanned aircraft beyond the operator's line of sight when it begins surveying transmission lines near Denver, Colorado. (Photo: Northern Plains UAS Test Site)
Album | Unmanned vehicles |
Category | Drone Technology |

Pictorial Representation of UAV based Fishing Technique (credits: T. Ahilan; V. Aswin Adityan; S. Kailash)
Album | Unmanned vehicles |
Category | Fishing |

Photo: Detection of weeds between and within crop rows using UAV Imagery (credits: Ana I. de Castro, Jorge Torres-Sánchez, Jose M. Peña, Francisco M. Jiménez-Brenes, Ovidiu Csillik and Francisca López-Granados)

Photo: Unmanned aerial vehicle Geoscan 201 launching and landing (credits: Sergey V. Cherkasov, Anvar M. Farkhutdinov, Dmitriy P. Rykovanov, Arbi A. Shaipov)

Illustration Photo: Yara Birkeland autonomous ship under way, Kongsberg Maritime/Yara (credits: Ørnulf Rødseth / Flickr Creative Commons Attribution-NoDerivs 2.0 Generic (CC BY-ND 2.0))

Photo: DEEP AERO UTM technology platform is the first AI driven, autonomous system to manage drone traffic. (credit: DEEP AERO)
Album | Unmanned vehicles |
Categories | AI-Driven, Drone |

Photo: On-board direction RF receiver (left) and RF transmitter on the ground (credit: Korea Advanced Institute of Science and Technology (KAIST))

Danielle Bryant, right, an oceanographer from the Naval Oceanographic Office, establishes a satellite connection to the Glider Operations Center at NAVOCEANO before launching the seaglider unmanned underwater vessel from the Military Sealift Command oceanographic survey ship USNS Henson. The vessel is designed to collect physical oceanography data in deep water. Henson is underway off the coast of Fortaleza, Brazil for Oceanographic-Southern Partnership Station 2010 conducting survey demonstrations with the Brazilian Directorate of Hydrograph and Navigation. Oceanographic-Southern Partnership Station is an oceanographic surveying and information exchange program between subject matter experts with partner nations in the U.S. Southern Command area of responsibility.
Album | Unmanned vehicles |
Category | autonomous sea bed survey vehicle |

Illustration Photo: The senseFly eBee flies over the Duke University Marine Lab. (credits: Duke Marine Robotics and Remote Sensing Lab / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

Photo: Custom-made two-axis gimbal hosting the hyperspectral camera (SolidWorks 3D model). (credits: Fernando Vanegas, Dmitry Bratanov, Kevin Powell, John Weiss and Felipe Gonzalez)

Photo: Print screen from video "Future of autonomous air travel: Boeing unveils new cargo air vehicle prototype" (credit: Boeing)

Picture: Obstruction phase (credits: Keisuke Watanabe, Kyoko Takashima, Kazuho Mitsumura, Koshi Utsunomiya, Shiyun Takasaki)
Album | Unmanned vehicles |
Category | Maritime Pirates Attacks |

Photo of the UAS (credits: Enrique Moguel, José M. Conejero, Fernando Sánchez-Figueroa, Juan Hernández, Juan C. Preciado, Fernando Sánchez-Figueroa and Roberto Rodríguez-Echeverría)

Photo: Leti's 360Fusion Anti-Crash System Embedded in a Drone (credit: Leti)
Album | Unmanned vehicles |
Category | Drones |

Malcolm Connolly (left) and Chris Fleming of Cyberhawk, an aerial inspection and surveying company, use an Intel Falcon 8+ system during the inspection of an operating gas terminal in St Fergus, Scotland. Unmanned aerial vehicle systems reduce employee risk, increase speed and accuracy, and save money that would be lost during a potential production closure. (Credit: Intel Corporation)

Illustration Photo: Drone used for bridge inspections (credits: Oregon Department of Transportation / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))
Album | Unmanned vehicles |
Category | Drones |

Illustration Photo: Freight for air cargo (Public Domain from Pixabay.com)
Album | Unmanned vehicles |
Category | Unmanned Aircraft |

Photo: System structure (credits: Authors: Yaowei Long, Hong Sun, Minzan Li, Wei Yang, Haojie Liu, Zichun Sun, Xu Wang)

Photo: DARPA’s OFFensive Swarm-Enabled Tactics (OFFSET) program envisions future small-unit infantry forces using small unmanned aircraft systems (UASs) and/or small unmanned ground systems (UGSs) in swarms of 250 robots or more to accomplish diverse missions in complex urban environments. By leveraging and combining emerging technologies in swarm autonomy and human-swarm teaming, the program seeks to enable rapid development and deployment of breakthrough capabilities to the field. DARPA is continuing its pursuit of these goals through awarding Phase 1 contracts to teams led by Raytheon BBN Technologies (Cambridge, Massachusetts) and the Northrop Grumman Corporation (Linthicum, Maryland). Credit: DARPA.

Photo: Print screen from the video "HiRO DRONE: Innovative Response to Critical Injury" (credit: Hiro Saves)

Photo: A Flirtey drone delivers an Automated External Defibrillator (AED) to assist a victim of cardiac arrest (credit: REMSA)

Illustration Photo: Maize field (Public Domain from Pixabay.com)
Album | Unmanned vehicles |
Category | Crop Monitoring |

Illustration Photo: drone (Public Domain from Pixabay.com)
Album | Unmanned vehicles |
Category | deep learning |

Photo: The PLANET approach for large-scale cooperation of highly heterogeneous networked systems (credits: Capitán Fernández Jesús, Martínez de Dios José Ramiro, Maza Alcañiz Iván, Fabresse Felipe Ramón, Ollero Baturone Aníbal)
Album | Unmanned vehicles |
Category | mobile robots |

Photo: DARPA’s SideArm research effort seeks to create a self-contained, portable apparatus able to horizontally launch and retrieve unmanned aerial systems (UASs) of up to 900 pounds. Aurora Flight Sciences recently tested a full-scale SideArm technology demonstration system that repeatedly captured a Lockheed Martin Fury UAS accelerated to representative flight speeds via an external catapult. (credit: DARPA)

Illustration Photo: Organ Human transport by drone (credits: Lars Plougmann / Flickr Creative Attribution-ShareAlike 2.0 Generic (CC BY-SA 2.0))
Album | Unmanned vehicles |
Category | Healthcare |

Illustration Photo: DJI Phantom 4 drone (credits: Andri Koolme / Flickr Creative Attribution 2.0 Generic (CC BY 2.0))

Illustration Photo: DJI Mavic Pro (credits: Leigh Miller | www.leighmiller.ca / Flickr Creative Commons Attribution-ShareAlike 2.0 Generic (CC BY-SA 2.0))

Picture: System for extending internet access via fast deployable portable routers (credit: Reynolds Karl)

Illustration Photo: DJI Phantom 3 (credits: Lee / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

Photo: MIT researchers have developed a system that enables small, safe, aerial drones to read RFID tags in large warehouses at a distance of several meters, while identifying the tags’ locations with an average error of about 19 centimeters. (credit: MIT)
Album | Unmanned vehicles |
Category | RFID tags |

Photo: New hybrid gas-to-electric drones from MIT spinout Top Flight Technologies offer an order-of-magnitude increase in range, payload size, and power over battery-powered counterparts. The drones may pave the way for package delivery and human flight. Courtesy of Top Flight Technologies.

Illustration Photo: DJI Phantom 3 Professional drone flying (credits: Andri Koolme / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))

Illustration Photo: Drone in flight with camera equipment (credits: UAVAIR Australia uavair.com.au / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))

Illustration Photo: koala (Public Domain from Pixabay.com)
Album | Unmanned vehicles |
Category | koalas |

Photo: (A) The fixed-wing Unmanned Aerial System (UAS) used, a SkyWalker 2014 with a wingspan of 1,900 mm. The image shown is being published with the consent of the subject (B) The UAS can be totally disassembled in a few minutes for easy transportation with one single Allen key (C) The downward pointing camera lens is protected against dust and mechanical stress by a neutral glass filter glued to the fuselage. (credits: Jan R. K. Lehmann, Torsten Prinz, Silvia R. Ziller, Jan Thiele, Gustavo Heringer, João A. A. Meira-Neto and Tillmann K. Buttschardt)

Photo: Components of the UHD 185 hyperspectral system: (a) reinforcement notebook computer and ground control station; (b) remote controller; (c) UHD 185 Firefly spectrometer. (credit: Jibo Yue, Guijun Yang, Changchun Li, Zhenhai Li, Yanjie Wang, Haikuan Feng and Bo Xu)

Photo: Airborne Drones Vanguard 35km long range surveillance drone ready to take flight (PRNewsfoto/Airborne Drones)

Photo: On 28 June 2017, the UNICEF Innovation team tests an unmanned aerial vehicle (UAVs), also known as a drone, carrying a cargo payload box, which can potentially carry humanitarian supplies at Kasungu Aerodrome in central Malawi. The Government of Malawi and UNICEF are launching a drone testing corridor to assess potential humanitarian use of UAVs. The corridor is the first in Africa and one of the first globally with a focus on humanitarian and development use. The launch of the UAV testing corridor follows a pilot project in Malawi in March 2016 on the feasibility of using drones for the transportation of dried blood samples for early infant diagnosis of HIV. (credit: UNICEF)

Illustration Photo: senseFly eBee (credits: Duke Marine Robotics and Remote Sensing Lab / Flickr Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

Illustration Photo: DJI Agras MG-1S is an octocopter designed for precision variable rate application of liquid pesticides, fertilizers and herbicides, bringing new levels of efficiency and manageability to the agricultural sector (credit: DJI)

Photo: Testing set of object class “Airplane” (credits: Matija Radovic, Offei Adarkwa and Qiaosong Wang)

Photo: The solar-electric Helios Prototype flying wing is shown near the Hawaiian islands of Niihau and Lehua during its first test flight on solar power. Credits: NASA Photo

Illustration Photo: drone (Public Domain from Pixabay.com)
Album | Unmanned vehicles |
Category | Drones |

Photo: Unmanned aerial vehicle acquiring images over experimental orchard (credits: Duke M. Bulanon, John Lonai, Heather Skovgard and Esmaeil Fallahi)
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Smart International Consulting is a business consulting firm specialized in the management of Foreign Investment Projects in Asia and Africa.