Solar UAV for the Inspection and Monitoring of Photovoltaic (PV) Systems in Solar Power Plants

Sherman, Michelle; Gammill, Mariah; Raissi, Ali; Hassanalian, Mostafa

doi:10.2514/6.2021-1683

Cited by 7 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of UAVs has greatly benefited from advancements in fields such as aviation technology, computer science, electronics, and sensor technology. Initially employed primarily for military purposes, including intelligence gathering, targeting, and aerial attacks [3], UAVs have become increasingly prevalent in civilian applications due to technological advancements and cost reductions [4,5]. Presently, UAVs serve vital roles in aerial photography, cargo transportation, agriculture, scientific research, disaster monitoring and rescue operations, as well as film and television production [6,7].…”

Section: Introductionmentioning

confidence: 99%

Design of a UAV Trajectory Prediction System Based on Multi-Flight Modes

Shi,

Zhang,

Shi

et al. 2024

Drones

View full text Add to dashboard Cite

With the burgeoning impact of artificial intelligence on the traditional UAV industry, the pursuit of autonomous UAV flight has emerged as a focal point of contemporary research. Addressing the imperative for advancing critical technologies in autonomous flight, this paper delves into the realm of UAV flight state recognition and trajectory prediction. Presenting an innovative approach focused on improving the precision of unmanned aerial vehicle (UAV) path forecasting via the identification of flight states, this study demonstrates its efficacy through the implementation of two prediction models. Firstly, UAV flight data acquisition was realized in this paper by the use of multi-sensors. Finally, two models for UAV trajectory prediction were designed based on machine learning methods and classical mathematical prediction methods, respectively, and the results before and after flight pattern recognition are compared. The experimental results show that the prediction error of the UAV trajectory prediction method based on multiple flight modes is smaller than the traditional trajectory prediction method in different flight stages.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of a UAV Trajectory Prediction System Based on Multi-Flight Modes

Shi,

Zhang,

Shi

et al. 2024

Drones

View full text Add to dashboard Cite

show abstract

“…Environment and Climate (Figure 2, box E): UAVs can be used to help the environment in a wide variety of way; Figure 2, box E shows applications of UAVs in the mining industry [44,45], aerial mapping, nature monitoring [46][47][48], wildlife protection [49,50], forest fire detection [51], prediction of rising sea levels [52,53], renewable energy maintenance, disaster relief [54], climate change forecasting [55], the potential of space drones for exploring other planets [56], marine drones that can study marine organisms and identify the location of oil spills [57], tree-planting, clean energy, and solar power generation [58,59].…”

mentioning

confidence: 99%

A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies

et al. 2022

View full text Add to dashboard Cite

Recent advances in unmanned aerial vehicles (UAVs), or drones, have made them able to communicate and collaborate, forming flying ad hoc networks (FANETs). FANETs are becoming popular in many application domains, including precision agriculture, goods delivery, construction, environment and climate monitoring, and military surveillance. These interesting new avenues for the use of UAVs are motivating researchers to rethink the existing research on FANETs. Therefore, this paper provides a comprehensive and thorough review of the different types of UAVs used in FANETs, their mobility models, main characteristics, and applications, as well as the routing protocols used in this type of network. Other important contributions of this paper include the investigation of emerging technologies integrated with FANETs.

show abstract

Design of UAV Flight State Recognition System for Multisensor Data Fusion

Shi,

Zhang

et al. 2024

IEEE Sensors J.

View full text Add to dashboard Cite

Solar UAV for the Inspection and Monitoring of Photovoltaic (PV) Systems in Solar Power Plants

Cited by 7 publications

References 9 publications

Design of a UAV Trajectory Prediction System Based on Multi-Flight Modes

Design of a UAV Trajectory Prediction System Based on Multi-Flight Modes

A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies

Design of UAV Flight State Recognition System for Multisensor Data Fusion

Contact Info

Product

Resources

About