Review on the Technological Development and Application of UAV Systems

Fan, Bangkui; Li, Yun; Zhang, Ruiyu; Fu, Qiqi

doi:10.1049/cje.2019.12.006

Cited by 148 publications

(64 citation statements)

References 3 publications

(3 reference statements)

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“…To a large extent, this is to be explained by the need for the state to ensure both adequate regulation and a system of management and control of the airspace in which numerous delivery UAVs would operate. Indeed, the mass integration of UAVs into the economy requires ensuring their coordination similarly to road traffic [46].…”

Section: The Basis Ideamentioning

confidence: 99%

Spatial Premises and Key Conditions for the Use of UAVs for Delivery of Items on the Example of the Polish Courier and Postal Services Market

2022

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The use of unmanned aerial vehicles (UAVs) in the delivery of courier and postal items has the potential to provide benefits in breaking down terrain barriers and reducing congestion in urban areas. In addition, the trend to move away from polluting fossil fuels prompts delivery companies to invest in low- and zero-emission means of transport. Electric UAVs reduce environmental contamination in the delivery area and can also be directly powered by renewable energy sources. The aim of this study is to identify the premises and conditions of UAV implementation on the example of companies delivering courier and postal items in Poland. The basic research methods used for the preparation of this study are critical analysis of the literature on the subject, synthesis, and generalisation, which led to the authors’ own research conducted through partially categorised oral interviews. The conducted considerations confirm the existence of premises and the ability of UAVs for the effective delivery of items. In Poland, the most important limitation in the implementation and dissemination of this delivery method is the high level of social scepticism, reaching 43%. If actions are not taken to neutralise this attitude of society, this factor may effectively prevent the use of UAVs for delivery services.

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Section: The Basis Ideamentioning

confidence: 99%

Spatial Premises and Key Conditions for the Use of UAVs for Delivery of Items on the Example of the Polish Courier and Postal Services Market

2022

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“…Intelligence is enabled given the use of AI and deep learning embedded with the central system of the vehicle so that it can learn patterns and algorithms to generate new risk management and be ready for any potential uncertainties with minimum pilot assistance. Currently, fully autonomous RPAS are undergoing testing and are not available in the production stage [39].…”

Section: ) Level 5 (Full Autonomy)mentioning

confidence: 99%

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

Aibin¹,

Aldiab

Bhavsar³

et al. 2021

IEEE Access

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In this survey, we look at the overall idea of Remotely Piloted Aircraft Systems (RPAS) and autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits and difficulties in the field when utilizing Artificial Intelligence. While current remotely piloted aircraft systems have a manual pilot operator to provide double-layer security and safety, studies show that having RPAS with a fully autonomous vehicle at its centre could significantly improve decision-making and overall mission precision, accuracy, safety, and efficiency.

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“…After 100 rounds of network training, the test data sets are used to compare the model proposed in this paper with other traditional ways, and the results are shown in Table 2. Among them, AM is the model of this article, CVPR is the traditional model, and TSC-GA is a genetic algorithm based on the two-side successive revision method proposed in [3], and the time-consuming data of TSC-GA comes from the original text. e attention prefix in the table indicates that attention neural network is used to build the model, and the performance of different node numbers based on CPU and GPU are compared, respectively.…”

Section: Simulation Testmentioning

confidence: 99%

“…Due to its simple operation and sturdy maneuverability, UAV has, moreover, been widely utilized in several fields such as military, agriculture, and environmental protection [3][4][5][6][7][8] and has attracted the attention of countries around the world. Within the multi-UAV collaborative reconnaissance path planning framework, their distributed characteristic notably improves the working ability and robustness of the system.…”

Section: Introductionmentioning

confidence: 99%

Multi-UAV Collaborative Path Planning Method Based on Attention Mechanism

Wang

Zhang

et al. 2021

Mathematical Problems in Engineering

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Aiming at the problem that traditional heuristic algorithm is difficult to extract the empirical model in time from large sample terrain data, a multi-UAV collaborative path planning method based on attention reinforcement learning is proposed. The method draws on a combined consideration of influencing factors, such as survival probability, path length, and load balancing and endurance constraints, and works as a support system for multimachine collaborative optimizing. The attention neural network is used to generate the cooperative reconnaissance strategy of the UAV, and a large amount of simulation data is tested to optimize the attention network using the REINFORCE algorithm. Experimental results show that the proposed method is effective in solving the multi-UAV path planning issue with high real-time requirements, and the solving time is less than the traditional algorithms.

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Review on the Technological Development and Application of UAV Systems

Cited by 148 publications

References 3 publications

Spatial Premises and Key Conditions for the Use of UAVs for Delivery of Items on the Example of the Polish Courier and Postal Services Market

Spatial Premises and Key Conditions for the Use of UAVs for Delivery of Items on the Example of the Polish Courier and Postal Services Market

Survey of RPAS Autonomous Control Systems Using Artificial Intelligence

Multi-UAV Collaborative Path Planning Method Based on Attention Mechanism

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