Optical Tracking System for Multi-UAV Clustering

Ming, Rui; Zhou, Zhiyan; Luo, Xiwen; Liu, Wei; Zi, Le; Song, Cancan; Jiang, Rui; Zang, Yu

doi:10.1109/jsen.2021.3091280

Cited by 7 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, current UAV swarm systems still require manual operations for task planning and path scheduling, and cannot completely achieve autonomous decision-making and automatic task execution. For example, as reported in [21,35], it is necessary to manually plan the UAVs' mission and adjust the flight trajectory before production operations can be carried out. Despite some studies exploring UAV control methods based on artificial intelligence algorithms, UAV swarm control algorithms are not yet fully capable of environment perception and autonomous decision-making.…”

Section: Resultsmentioning

confidence: 99%

“…A viable solution involves deploying UAV swarms to conduct cluster operations collaboratively, thereby expanding the operational area and consequently enhancing the operational efficiency of the UAV [20]. Recently, UAV swarm cooperative operation systems have emerged as a potential means to augment mission efficiency, warranting further investigation [21,22].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparative Analysis of Different UAV Swarm Control Methods on Unmanned Farms

Ming,

Jiang,

Luo

et al. 2023

Agronomy

Self Cite

View full text Add to dashboard Cite

Unmanned farms employ a variety of sensors, automated systems, and data analysis techniques to enable fully automated and intelligent management. This not only heightens agricultural production efficiency but also reduces the costs associated with human resources. As integral components of unmanned farms’ automation systems, agricultural UAVs have been widely adopted across various operational stages due to their precision, high efficiency, environmental sustainability, and simplicity of operation. However, present-day technological advancement levels and relevant policy regulations pose significant restrictions on UAVs in terms of payload and endurance, leading to diminished task efficiency when a single UAV is deployed over large areas. Accordingly, this paper aggregates and analyzes research pertaining to UAV swarms from databases such as Google Scholar, ScienceDirect, Scopus, IEEE Xplorer, and Wiley over the past decade. An initial overview presents the current control methods for UAV swarms, incorporating a summary and analysis of the features, merits, and drawbacks of diverse control techniques. Subsequently, drawing from the four main stages of agricultural production (cultivation, planting, management, and harvesting), we evaluate the application of UAV swarms in each stage and provide an overview of the most advanced UAV swarm technologies utilized therein. Finally, we scrutinize and analyze the challenges and concerns associated with UAV swarm applications on unmanned farms and provide forward-looking insights into the future developmental trajectory of UAV swarm technology in unmanned farming, with the objective of bolstering swarm performance, scalability, and adoption rates in such settings.

show abstract

Section: Resultsmentioning

confidence: 99%