On-Demand Precise Tracking for Energy-Constrained UAVs in Underground Coal Mines

Zhang, Kuiyuan; Chen, Pengpeng; Ma, Tianbing; Gao, Shengli

doi:10.1109/tim.2022.3146925

Cited by 9 publications

(3 citation statements)

References 40 publications

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“…Article [22] describes the monitoring of underground coal mines by means of an unmanned aerial vehicle (UAV). Various methods are used for location tracking, and according to the results, on-demand precise tracking (OPT) appears to be the most effective method.…”

Section: State Of the Artmentioning

confidence: 99%

Design of an IoT-Based Monitoring System as a Part of Prevention of Thermal Events in Mining and Landfill Waste Disposal Sites: A Pilot Case Study

Hajovsky

Pies

Velicka

et al. 2023

IEEE Trans. Instrum. Meas.

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This case study deals with the design of a hybrid system for the prevention of thermal events in mining waste disposal sites and landfills. The overall design, real implementation, optimization and experimental verification of the functionality of the entire system are described in detail. Both experimental platforms are built on the Internet of Things (LoRaWAN and Sigfox) basis and meet the conditions for autonomous long-term on-site monitoring. The data collected is periodically transmitted wirelessly to a database repository, which processes relevant parameters for the operators of dispatching workplaces. The study is focused on a combination of surface and depth measurement methods. The experimental results clearly confirm the functionality of the proposed solutions, which will enable timely interventions and elimination of underground and surface combustions. Thanks to centralized data collection, a unique database has also been created, which can be used for the implementation of prediction algorithms (based, for example, on machine learning or artificial intelligence).

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Section: State Of the Artmentioning

confidence: 99%

Design of an IoT-Based Monitoring System as a Part of Prevention of Thermal Events in Mining and Landfill Waste Disposal Sites: A Pilot Case Study

Hajovsky

Pies

Velicka

et al. 2023

IEEE Trans. Instrum. Meas.

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“…Today, precise and low-power indoor localization of mobile devices is still an open problem for both consumer and Machine-to-Machine (M2M) applications [1]. Context and environmental awareness have been recognized as fundamental properties [2] in the Internet of Things (IoT) ecosystem, not only by sensing the surroundings but also by estimating the spatial position regarding reference points and other IoT agents [3]. In many application scenarios, relative and absolute location information are essential features, such as robotics, smart cities and smart manufacturing [2], [4].…”

Section: Introductionmentioning

confidence: 99%

“…However, they often require an array of antennas, limiting the compactness of the designed solution [13]. Many different approaches have been proposed to define a global standard similar to common outdoor technologies, such as GPS and Global Navigation Satellite System (GNSS) [3], exploiting other technologies such as WiFi, Bluetooth Low Energy (BLE), UWB, inertial sensors and others [1], [14], [15]. However, today there are no ready-to-use solutions for indoor localization that have been proven to be low-power, scalable, miniaturized, cheap, and accurate (centimeter precision), leaving this challenging research topic unsolved [1].…”

Section: Introductionmentioning

confidence: 99%

Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node

Margiani,

Cortesi,

Keller

et al. 2023

IEEE Trans. Instrum. Meas.

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Accurate and low-power indoor localization is becoming more and more of a necessity to empower novel consumer and industrial applications. In this field, the most promising technology is based on Ultra-Wideband (UWB) modulation; however, current UWB positioning systems do not reach centimeter accuracy in general deployments due to multi-path and nonisotropic antennas, still necessitating several fixed anchors to estimate an object's position in space. This paper presents an in-depth study and assessment of Angle of Arrival (AoA) UWB measurements using a compact, low-power solution integrating a novel commercial module with Phase Difference of Arrival (PDoA) estimation as integrated feature. Results demonstrate the possibility of reaching centimeter distance precision and 2.4°average angular accuracy in many operative conditions, e.g., in a 90°range around the center. Moreover, integrating the channel impulse response, the phase differential of arrival, and the point-to-point distance, an error correction model is discussed to compensate for reflections, multi-paths, and frontback ambiguity.

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Adversarial Blur-Deblur Network for Robust UAV Tracking

Zuo

et al. 2023

IEEE Robot. Autom. Lett.

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On-Demand Precise Tracking for Energy-Constrained UAVs in Underground Coal Mines

Cited by 9 publications

References 40 publications

Design of an IoT-Based Monitoring System as a Part of Prevention of Thermal Events in Mining and Landfill Waste Disposal Sites: A Pilot Case Study

Design of an IoT-Based Monitoring System as a Part of Prevention of Thermal Events in Mining and Landfill Waste Disposal Sites: A Pilot Case Study

Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node

Adversarial Blur-Deblur Network for Robust UAV Tracking

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