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Communication Topology Analysis upon a Swarm of UAVs: A Survey
Published in Fei Hu, Xin-Lin Huang, DongXiu Ou, UAV Swarm Networks, 2020
Unmanned aerial vehicles (UAVs), commonly known as drones, are aircraft without a human pilot aboard. Today, UAVs are of great interest in broad areas of applications, such as military reconnaissance, firefighter operation, police pursuit and so forth. To prevent the ill-utilization of UAVs, more and more nations have issued rules and regulations on the design, manufacture, distribution and setting up no-fly zones against UAVs for privacy purposes. The more and more advanced technologies enable the UAVs to perform tasks with longer distance, more accurate maneuvering, more efficient communication qualities and so forth. In this case, the U.S. Federal Aviation Administration (FAA) and the U.S. Army have issued well-built standards defining the UAV applications in detail [1, 2]. Research has been done based on those regulations and standards for a more reliable and robust aero-vehicle design. One of the most technological difficulties lies in the topology strategies of network communications.
Development of Autonomous Vehicles
Published in Diego Galar, Uday Kumar, Dammika Seneviratne, Robots, Drones, UAVs and UGVs for Operation and Maintenance, 2020
Diego Galar, Uday Kumar, Dammika Seneviratne
An unmanned aerial vehicle (UAV) is an aircraft without a human pilot on board. The vehicle is controlled either autonomously by attached microprocessors or telemetrically by an operator on the ground. UAVs can be used to execute observation or detection missions through automatic or remote control. They are mainly used in mapping applications, environmental change monitoring, disaster prevention response, resource exploration etc. Compared to other flying vehicles and satellite remote sensing technology, UAVs have two advantages when capturing aerial photographs: low cost and high mobility. However, they have many environmental restrictions on their use due to low flight stability. Therefore, how to use UAVs in different scenarios so that spatial information for qualitative and quantitative analysis can be reliably processed and produced is an important issue impacting their application (Liu et al., 2014).
Internet of Things and Remote Sensing
Published in Lavanya Sharma, Pradeep K Garg, From Visual Surveillance to Internet of Things, 2019
Initially developed for military operations, UAVs have become popular in recent years for civilian customers. UAV images belong to the big data category “sensing data.” UAV imagery is useful to assess large and not easily accessible areas [2]. For example, the UAV has been used in a study in Australia that takes frequent measurements at mine sites to capture aerial images. These images are collected at regular intervals at much lower cost than traditional aircraft photogrammetric images. An additional advantage is that the UAV can collect data of inaccessible or dangerous sites. Without disrupting normal mine operations or sending field surveyors into hazardous areas, the UAV can provide useful images. These images are processed to produce 3D models for viewing the terrain or for volume computations.
CLEA-256-based text and image encryption algorithm for security in IOD networks
Published in Cogent Engineering, 2023
Snehal Samanth, Prema K V, Mamatha Balachandra
Unmanned Aerial Vehicles (UAVs), which are also known as drones, can be categorized into two based on their operating methods: automated and manual (by a pilot). For the two operating modes of flight, a communication link between Ground Control Station (GCS) and UAV is necessary. In the automated operating mode of flight, UAV is navigated through Global Positioning System (GPS) data. In manual flight operating mode, the drone is controlled by a pilot through virtual cockpit control, or Line of Sight (LoS) (Shoufan et al., 2018). Based on the drone-based applications, drones can be categorized into two: civilian drones and military drones (Wang et al., 2019). Civilian drones have got benefits in various applications like search and rescue operations (Saif, Dimyati, Noordin, Alsamhi, et al., 2021), agriculture (Moskvitch, 2015), environmental monitoring (Alsamhi et al., 2019), monitoring of areas affected by natural disasters, recovery operations (Saif, Dimyati, Noordin, Shah, et al., 2021), monitoring of traffic and construction sites (Alsamhi et al., 2021), etc. Military drones have got benefits in applications like tactical reconnaissance, surveillance, combat missions, etc. (Armour & Ross, 2017).
Towards precision irrigation management: A review of GIS, remote sensing and emerging technologies
Published in Cogent Engineering, 2022
Erion Bwambale, Zita Naangmenyele, Parfait Iradukunda, Komi Mensah Agboka, Eva A. Y. Houessou-Dossou, Daniel A. Akansake, Michael E. Bisa, Abdoul-Aziz H. Hamadou, Joseph Hakizayezu, Oluwaseun Elijah Onofua, Sylvester R. Chikabvumbwa
An unmanned aerial vehicle (UAV) is an aircraft that carries no human pilot or passengers. UAVs, sometimes called “drones” can be fully or partially autonomous but are more often controlled remotely by a human pilot (RAND, 2020). Unmanned aerial vehicles (UAVs) are evolving toward autonomy, choosing where to fly based on deep learning, a variety of navigational signals, and sensor data. In order to create accurate 3D models and orthophotos of a region of interest, on-demand detailed picture gathering with UAVs is a quick and affordable alternative (Giacomo & David, 2018). UAV‐based remote sensing and GIS mapping of processed data can be used for irrigation scheduling, plant water status assessment and nutrient assessment applications. Recent studies have applied UAVs in energy balance of an irrigated field (Ortega-Farias et al., 2021), surface moisture mapping (Zeyliger et al., 2022) and determination of actual evapotranspiration (Mokhtari et al., 2021). Remote sensing using unmanned aerial vehicles can provide precise information of irrigated crop areas through monitoring the phenological development of crops through multi-temporal images.
Wind resistance aerial path planning for efficient reconstruction of offshore ship
Published in International Journal of Digital Earth, 2022
Tao Liu, Ruiqi Shen, Zhengling Lei, Yuchi Huo, Jiansen Zhao, Xiaogang Xu
With the development of maritime supervision methods, traditional methods (patrol ships, Vessel Traffic System, etc.) are gradually replaced by the use of UAV. There are lots of advantages of UAV, such as simple operation, low cost, quick response, and wide working range. The application of UAV has been extended to all walks of life, including geographic mapping, agricultural plant protection, rescue and disaster relief, aerial photography. With the development of image-based 3D reconstruction and the commercial UAVs’ imaging systems, UAVs can be used to take aerial photography in complex urban scenes, and then high-quality 3D reconstruction can be achieved through the advanced structure from motion (SFM) (Arce et al. 2020; Schonberger and Frahm 2016; Wu 2013) or multi-view stereo (MVS) (Furukawa and Hernández 2015; Vogiatzis and Hernández 2011). Due to the simple and flexible operation of UAVs and low maintenance costs, efficient and high-quality reconstruction of large-scale urban scenes has become a hot research topic (Drešček et al. 2020; Li et al. 2016; Xu et al. 2016; Yang et al. 2022; Zheng, Wang, and Li 2018). The 3D models reconstructed from aerial images of UAVs can be used for 3D applications such as digital twin, virtual reality (VR), augmented reality (AR), and so on.