UAV and obstacle sensing techniques – a perspective

Aswini, N; Kumar, E. Krishna; Uma, S.

doi:10.1108/ijius-11-2017-0013

Cited by 24 publications

(9 citation statements)

References 10 publications

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“…Interestingly, the paper makes no mention of mini UAV as such, the term small tactical UAV has been used instead. In their study, Aswini et al (2018) Table 1 provides a summary of assessment of the parameters by various researchers. As evident from the above, there is a lack of unanimity amongst researchers in defining the specifications and consequent divergent views in the definition of Mini UAVs.…”

Section: Categorising Mini Uavmentioning

confidence: 99%

Mini Unmanned Aerial Systems (UAV) - A Review of the Parameters for Classification of a Mini UAV

Ps¹,

Jeyan²

2020

IJAAA

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Section: Categorising Mini Uavmentioning

confidence: 99%

Mini Unmanned Aerial Systems (UAV) - A Review of the Parameters for Classification of a Mini UAV

Ps¹,

Jeyan²

2020

IJAAA

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“…Nowadays, the advancement of science and technology has greatly promoted the wide use of UAVs. From the structural point of view, UAVs mainly include four types: fixed wing, rotating flapping wing, hybrid wing, and gas envelope [1], and it plays a huge role in high-altitude pesticide spraying, agricultural, forestry spectral monitoring, vertical take-off landing military monitoring, transportation of rescue materials, obstacle sensing, and satellite cooperative communication [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

UAV Routing Protocol Based on Link Stability and Selectivity of Neighbor Nodes in ETX Metrics

Huang

Zan

Liu

et al. 2022

Wireless Communications and Mobile Computing

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With the extensive application of UAVs in various fields, it becomes more important to design a routing protocol that ensures stable transmit between UAV groups. This is because UAV groups are densely packed, move fast, and communication links are fragile. Aiming at the intensive and highly maneuverable UAV group, the AODV-NLS-ETX—a routing protocol based on the link stability of neighbor nodes—is proposed on the basis of the ETX metric based AODV protocol. The protocol is simulated and compared with other protocols. The simulation results show that AODV-NLS-ETX is superior to other protocols in packet delivery rate and throughput under high shift speed, dense nodes, and high routing overhead. It can effectively reduce the high delay brought by the ETX mechanism. The delay is the most stable and is not easy to cause network congestion. It can be better applied to dense and highly mobile unmanned aerial vehicles.

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“…With the development and application of high-tech military equipment, stealth technology has been applied in modern air warfare [1]- [3]. In recent years, many countries are actively applying stealth technology to equipment and weapons, such as stealth aircraft and stealth missiles.…”

Section: Introductionmentioning

confidence: 99%

A Novel Real-Time Penetration Path Planning Algorithm for Stealth UAV in 3D Complex Dynamic Environment

Zhang

Dai

et al. 2020

IEEE Access

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In recent years, stealth aircraft penetration path planning has been a significant research subject in the field of low altitude combat. However, previous works have mainly concentrated on the path planning for stealth unmanned aerial vehicle(UAV) in 2D static environment. In contrast, this paper addresses a novel real-time path planning algorithm for stealth UAV to realize the rapid penetration, which aims to devise a route penetration strategy based on the improved A-Star algorithm to address the problems of replanning for stealth UAV in 3D complex dynamic environment. The proposed method introduces the kinematic model of stealth UAV and detection performance of netted radar in the process of low altitude penetration. Additionally, POP-UP threats are adopted into three different threat scenarios, which is closer to the real combat environment. Moreover, further combined with the prediction technique and route planning algorithm, the multi-step search strategy is developed for stealth UAV to deal with POP-UP threats and complete the replanning of the route in different scenarios. Furthermore, the attitude angle information is integrated into the improved A-Star algorithm, which reflects the characteristics of the dynamic radar cross section(RCS) and conforms to the actual flight requirements for the stealth UAV. Finally, the improved A-Star algorithm, the sparse A-Star Search(SAS), and the dynamic A-Star algorithm(D-Star) are respectively adopted to address the problem of penetration route planning for stealth UAV in three different threat scenarios. Numerical simulations are performed to illustrate that the proposed approach can achieve rapid penetration route planning for stealth UAV in a dynamic threat scenario, and verify the validity of the improved A-Star algorithm which is compared to the other two algorithms. INDEX TERMS Stealth unmanned aerial vehicle, dynamic radar cross-section, netted radar, real-time path planning, A-Star algorithm.

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UAV and obstacle sensing techniques – a perspective

Cited by 24 publications

References 10 publications

Mini Unmanned Aerial Systems (UAV) - A Review of the Parameters for Classification of a Mini UAV

Mini Unmanned Aerial Systems (UAV) - A Review of the Parameters for Classification of a Mini UAV

UAV Routing Protocol Based on Link Stability and Selectivity of Neighbor Nodes in ETX Metrics

A Novel Real-Time Penetration Path Planning Algorithm for Stealth UAV in 3D Complex Dynamic Environment

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