Telemetry System of Unmanned Aerial Vehicles

Vasylenko, M. P.; Karpyuk, I. S.

doi:10.18372/1990-5548.57.13244

Cited by 2 publications

(3 citation statements)

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“…Table 1 From the data obtained in this way, it was possible to determine the nature of the engine operation during its test and to verify the relationship between engine speed vs. fuel flow vs. exhaust gas temperature vs. remaining fuel (figs. [6][7][8][9].…”

Section: Resultsmentioning

confidence: 99%

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Using the Telemetry System as an Element of the Engine Operation Monitoring System of UAS

Buczkowska-Murawska¹,

Żokowski²

2021

Journal of KONBiN

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The article presents an engineering approach that allows us to collect engine operation characteristics using built-in telemetry mechanisms, filled with the passive recording system. As a result of the development of the solution, the characteristics of the engine operation were obtained under real conditions, and the universal registration tool was built with a wider application than simply the registration of the engine operating parameters. The development of the solution allowed measurements to be obtained in a passive mode using a distributed architecture for engine monitoring and engine operation characteristics, which would be difficult to obtain and archive without logger production, especially during flight tests.

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Section: Resultsmentioning

confidence: 99%

“…However, most of them are not applicable to Remotely Piloted Aircraft Systems (RPAS). As shown in Vasylenko et al [8], although at that time a single standard had not been adopted, protocols available under the Lesser General Public License (LGPL) license, e.g. MAVLink, were also developed.…”

Section: Fig 2 the Bus Diagrammentioning

confidence: 99%

Using the Telemetry System as an Element of the Engine Operation Monitoring System of UAS

Buczkowska-Murawska¹,

Żokowski²

2021

Journal of KONBiN

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“…A UAV used in IoV environment is often made up of single board computer with CPU, memory and sensors. The sensors play pivotal role in sensing the environment including the global positioning system (GPS), accelerometers, camera and gyroscope for navigation [42], a battery to provide power, a transceiver to exchange data between UAVs and Ground Control Station (GCS) [43], UAV flight status indicator devices [44], flight controller to control UAV take off and landing etc. [45], and finally an inertial measurement unit (IMU) to manage UAV altitude [46].…”

Section: Components Of Uavmentioning

confidence: 99%

A Survey on Artificial Intelligence based Internet of Vehicles utilizing Unmanned Aerial Vehicles

Ali Shah,

Fernando,

Kashef

2023

Preprint

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The vehicular ad hoc network (VANET) when augmented with internet is called internet of vehicles (IoV). In the IoV, vehicles have on board units (OBUs), use communication technologies and customized software to communicate with infrastructure around them. The vehicles can have permanent connectivity and global network awareness based on cloud computing. IoV technologies are still being assessed to ensure that the network is protected from attacks, supports a dynamic vehicular mobility scenarios and meets the low latency communication requirements between the vehicles and the surrounding infrastructure. To meet these strict Quality of Service (QoS) demands, Unmanned Aerial Vehicles (UAVs) play a vital role in IoV ecosystems. An UAV can serve as a mobile roadside unit (mRSU) to transmit data between vehicles, stationery RSUs and other UAVs. The UAVs have better line of sight (LOS) connections which result in better channel states and lower path loss than fixed RSUs. Although the inclusion of UAVs in vehicular networks has improved the system performance by providing better resource management and routing solutions, the traditional optimization techniques with their limitations are often not applicable. Therefore, in recent years, research community is integrating Artificial Intelligence (AI) and Machine Learning (ML) into UAV based IoV ecosystem to better manage resource allocation, routing and mobility management issues to optimize the overall network performance. In this survey paper we review the existing research done in AI/ML based UAV-IoV networks and communications with focus on resource management and routing from year 2019 to 2023. We have studied different AI techniques, their training attributes and architectures in various research works. The limitations of AI-based approaches in terms of required computational resources, availability of real world data and AI models’ complexity for the UAV-IoV environment are also discussed. Finally, the future directions for UAV-IoV research opportunities that can leverage the full potential of AI are presented.

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Telemetry System of Unmanned Aerial Vehicles

Cited by 2 publications

References 0 publications

Using the Telemetry System as an Element of the Engine Operation Monitoring System of UAS

Using the Telemetry System as an Element of the Engine Operation Monitoring System of UAS

A Survey on Artificial Intelligence based Internet of Vehicles utilizing Unmanned Aerial Vehicles

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