Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges

Ranjan, Alok; Sahu, H. B.; Misra, Prasant; Panigrahi, B. K.

doi:10.1007/978-3-030-38712-9_7

Cited by 4 publications

(3 citation statements)

References 41 publications

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“…With the rapid development of Unmanned Aerial Vehicles (UAVs) technology, their applications are no longer limited to open environments. Exploiting UAVs to substitute human for surveying, inspection, inventory management and emergency rescue in closed, confined, inaccessible or potentially dangerous space has already become a much-sought research direction [1][2][3][4][5][6]. However, all these applications summarised in Fig.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Radio Frequency based Precise Localisation Technology for UAV in GPS-denied Environment

Yang

2021

J Intell Robot Syst

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Owing to the specific characteristics of Unmanned Aerial Vehicles (UAVs), the demands and applications increase dramatically for them being deployed in confined or closed space for surveying, inspection or detection to substitute human. However, Global Positioning System (GPS) may lose effectiveness or become unavailable due to the potential signal block or interference in that operational environment. Under such circumstances, an imperative requirement on new positioning technology for UAV has emerged. With the rapid development of Radio Frequency (RF) based localisation technologies, leveraging small wireless sensor nodes for low-cost, low latency, low energy consumption and accurate localisation on UAV has received significant attention. However, no up-to-date review has been conducted in this area so far. Therefore, this paper aims to give a comprehensive survey on the RF based localisation systems with different radio communication technologies and localisation mechanisms on UAV positioning. Toward this end, an exhaustive evaluation framework is first established to evaluate the performance of each system on UAV positioning from different perspectives. Particularly, the Ultra-wideband (UWB) based system with time-based mechanisms is highlighted for UAV positioning under the consideration of the proposed evaluation framework. Finally, an intensive analysis is conducted about the current challenges and the potential research issues in this area in order to identify the promising directions for future research.

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Section: Introductionmentioning

confidence: 99%

A Survey on Radio Frequency based Precise Localisation Technology for UAV in GPS-denied Environment

Yang

2021

J Intell Robot Syst

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“…Unmanned aerial vehicles (UAVs) of civil applications is growing rapidly across many application domains and improving ones' quality of life, such as real-time monitoring, providing wireless coverage, remote sensing, search and rescue, delivery of goods, security and surveillance, precision agriculture, and civil infrastructure inspection, up till now, UAVs industry has greatly promoted social and economic development, and become thousands of billions market value [1][2][3]. Meanwhile, civil UAVs are also faced many challenges within specific vertical domains and across many application domains, such as UAVs amateurs have weak air safety awareness, immature operation and imperfect air control system, and "illegal flying" of civil UAVs have brought unprecedented threats to aviation safety and personal privacy [4].…”

Section: Introductionmentioning

confidence: 99%

“…In existing studies, UAV detection methods mainly include sound monitoring, visible light, infrared or radar detection and radio spectrum monitoring, etc. [3]. Among them, sound monitoring is susceptible to the noise of surrounding life, visible light is usually affected by weather and building occlusion.…”

Section: Introductionmentioning

confidence: 99%

A New Frequency Hopping Signal Detection of Civil UAV Based on Improved K-Means Clustering Algorithm

Ye¹,

Zou²,

Gao³

et al. 2021

IEEE Access

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The rapid development of civil UAV promotes the social and economic development, and the frequent "flying illegally" events has brought great challenges to aviation safety and government supervision. The frequency hopping communication system used in UAV data transmission and control link has the advantages of anti-jamming and anti-interception, and its complex electromagnetic environment, which also brings great difficulties to UAV detection. In this paper, the detection of civil UAV is realized by frequency hopping signal monitoring. Firstly, by analyzing the signal characteristics of UAVs, an adaptive noise threshold calculation method is proposed for find the signals from spectrum data. Then, the improved clustering analysis algorithm is proposed based on constructed the waveform shape characteristics and peak characteristics of UAV frequency hopping signal. Finally, according to the designed experimental process, the experimental environment is set up, and the UAV monitoring, discovery and parameter estimation are realized by using the improved clustering analysis algorithm, and compared with K-means, K-means++, DBSCAN, Multi-hop and Auto-correlation methods. The results show that the method has certain robustness and has a good application prospect.INDEX TERMS Civil UAV, Hopping signal detection, Clustering.

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Application of Unmanned System in Intelligent Mine

Yang

Zhang

2022

Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021)

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Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges

Cited by 4 publications

References 41 publications

A Survey on Radio Frequency based Precise Localisation Technology for UAV in GPS-denied Environment

A Survey on Radio Frequency based Precise Localisation Technology for UAV in GPS-denied Environment

A New Frequency Hopping Signal Detection of Civil UAV Based on Improved K-Means Clustering Algorithm

Application of Unmanned System in Intelligent Mine

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