Results 51 to 60 of about 569,053 (268)

Visualization Techniques for Spray Monitoring in Unmanned Aerial Spraying Systems: A Review

Agronomy
Unmanned Aerial Spraying Systems (UASS) has rapidly advanced precision crop protection. However, the spray performance of UASSs is influenced by nozzle atomization, rotor-induced airflow, and external environmental conditions.
Jungang Ma, Hua Zhuo, Peng Wang, Pengchao Chen, Xiang Li, Mei Tao, Zongyin Cui   +6 more
doaj   +1 more source

The Hidden Human Factors in Unmanned Aerial Vehicles [PDF]

, 2008
In April 2006, an Unmanned Aerial Vehicle crashed near Nogales, Arizona. This incident is of interest because it triggered one of the most sustained studies into the causes of failure involving such a vehicle.
Johnson, C.W.
core  

A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles

, 2018
In recent years, there has been a dramatic increase in the use of unmanned aerial vehicles (UAVs), particularly for small UAVs, due to their affordable prices, ease of availability, and ease of operability.
Aboudebra A., Ahmed N., Alzenad Mohamed, Alzenad Mohamed, Al‐Hourani A., Amorim R., Amorim R., Asadpour M., Athukoralage Dasun, Azari M. M., Bandoim Lana, Blandino Steve, Bluemm Christian, Bohagen Frode, Bor‐Yaliniz R Irem, Cai X., Chandhar P., Chen J., Chen J., Cheng Chen‐Mou, Cheng Xiang, Child JR, Daniel Kai, David Blom John, Desjardins Jeff, Essaadali R., Feng Qixing, Gao Xijun, Gates B. G., George Pierce Jones IV, Goddemeier N., Goddemeier Niklas, Gulfam S. M., Gulfam S. M., Hemanth Kumar Zhiqiang Wu, Ibrahim M., Jackson B. R. P., Jamal Hosseinali, Jiang F., Johnsson J., Joo Park Pyung, Kalantari E., Kaul S., Kawamata F., Kerczewski Bob, Khawaja W., Khawaja Wahab, Khawaja Wahab, Khawaja Wahab, Kovacs I., Ksendzov Alexander, Kung H. T., Kunisch J., Kvicera Milan, Lamiano D. F., Lemos Cid E., Levis Curt, Lin X., Lyu J., Malik W. Q., Matolak D. W., Matolak D. W., Matolak D. W., Matolak D. W., Matolak D. W., Matolak D. W., Matolak D. W., Matolak David W, Matolak David W., Matolak David W., Matolak David W., Newhall W. G., Ono F., Paier A., Pavel Pechac Michal Simunek, Rappaport T. S., Ravi V. V. C., Rieth D., Romeu J., Ruddle A. R., Schneckenburger N., Sharp C. S., Shim D. H., Song Meng Yu, Sun R., Sun Ruoyu, Sun Ruoyu, Takizawa K., Tavares T., Teng E., Tu H. D., Vahidi Vahid, Walter Michael, Wentz Michael, White F., Wu Y., Yang J., Yanmaz Evşen, Yanmaz Evşen, Zelenỳ Jan, Zhang Chao, Zheng Yi   +101 more
core   +1 more source

Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC

Advanced Robotics Research, EarlyView.
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang, Jianyang Dong, Yongming Yao, Kaijin Hu, Jianxiong Cui, Yikai Luo, Jiawen Zhang, Shichao Niu   +7 more
wiley   +1 more source

Chance-constrained optimal power flow for improving line flow and voltage security of power transmission networks

Autonomous Intelligent Systems
With the growing penetration of renewable energy, the impact of renewable uncertainties on power system secure operation is of increasing concern. Based on a recently developed linear power flow model, we formulate a chance-constrained optimal power flow
Yaodan Cui, Yue Song, Kairui Feng, Haonan Xu, Qinyu Wei, Kaiyu Li   +5 more
doaj   +1 more source

Numerical Simulation and PIV Experimental Investigation on Underwater Autorotating Rotor

Aerospace, 2022
In this work, the flow field of an autorotating rotor in a water tunnel with various pitches and shaft backward angles was investigated via particle image velocimetry (PIV).
Liang Li, Ming Chen, Fang Wang, Zhichen Wu, Anan Xu   +4 more
doaj   +1 more source

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Sampling-based unmanned aerial vehicle air traffic integration, path planning, and collision avoidance

International Journal of Advanced Robotic Systems, 2022
Unmanned aircraft or drones as they are sometimes called are continuing to become part of more real-life applications. The integration of unmanned aerial vehicles in public airspace is becoming an important issue that should be addressed.
Belal H Sababha, Amjed Al-mousa, Remah Baniyounisse, Jawad Bdour   +3 more
doaj   +1 more source

What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?

, 2018
Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management.
E. Hunt, C. Daughtry
semanticscholar   +1 more source

A Degradable Bioinspired Flier with Aerogel‐Based Colorimetric Sensors for Environmental Monitoring

Advanced Science, EarlyView.
Biodegradable fliers are developed inspired by Tipuana tipu samaras, integrating cellulose nanocrystal aerogel (CNCa) sensors loaded with natural dyes for pH and ammonia detection. The lightweight, degradable fliers mimic natural morphology and aerodynamics, offering an eco‐friendly, scalable solution for in situ environmental monitoring after passive ...
Gianpaolo Gallo, Ruowen Tu, Carlo Filippeschi, Stefano Mariani, Barbara Mazzolai   +4 more
wiley   +1 more source