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Research into Collision Avoidance Models for Unmanned Aerial Vehicles. / Akbashev, Mark; Muslimov, Tagir; Munasypov, Rustem.

Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 740-745 (Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Akbashev, M, Muslimov, T & Munasypov, R 2022, Research into Collision Avoidance Models for Unmanned Aerial Vehicles. в Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022. Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022, Institute of Electrical and Electronics Engineers Inc., стр. 740-745, 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022, Sochi, Российская Федерация, 16/05/22. https://doi.org/10.1109/icieam54945.2022.9787205

APA

Akbashev, M., Muslimov, T., & Munasypov, R. (2022). Research into Collision Avoidance Models for Unmanned Aerial Vehicles. в Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022 (стр. 740-745). (Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icieam54945.2022.9787205

Vancouver

Akbashev M, Muslimov T, Munasypov R. Research into Collision Avoidance Models for Unmanned Aerial Vehicles. в Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. стр. 740-745. (Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022). https://doi.org/10.1109/icieam54945.2022.9787205

Author

Akbashev, Mark ; Muslimov, Tagir ; Munasypov, Rustem. / Research into Collision Avoidance Models for Unmanned Aerial Vehicles. Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. стр. 740-745 (Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022).

BibTeX

@inproceedings{e1cfb37140f8494bb40623319b10a4b1,
title = "Research into Collision Avoidance Models for Unmanned Aerial Vehicles",
abstract = "This paper presents an investigation into models that can be used to train unmanned aerial vehicles (UAVs or drones) to avoid obstacles and to keep a safe distance from such. The paper describes the key components of the MATLAB/Simulink model and covers the subsystem of blocks for the UA V flight scenario. The authors have tested two scenarios based on vector field histograms (VFH) using different parameters, whereby the accuracy of tracing flight waypoints varied. Simulation results are shown in graphs. The paper further shows how the ROS simulator can use learning algorithms that could be tested on real aircraft.",
keywords = "collision avoidance, drone, Q-Learning algorithm, ROS simulator, vector field histogram",
author = "Mark Akbashev and Tagir Muslimov and Rustem Munasypov",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022 ; Conference date: 16-05-2022 Through 20-05-2022",
year = "2022",
month = may,
day = "16",
doi = "10.1109/icieam54945.2022.9787205",
language = "English",
isbn = "9781665483698",
series = "Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "740--745",
booktitle = "Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022",
address = "United States",

}

RIS

TY - GEN

T1 - Research into Collision Avoidance Models for Unmanned Aerial Vehicles

AU - Akbashev, Mark

AU - Muslimov, Tagir

AU - Munasypov, Rustem

N1 - Publisher Copyright: © 2022 IEEE.

PY - 2022/5/16

Y1 - 2022/5/16

N2 - This paper presents an investigation into models that can be used to train unmanned aerial vehicles (UAVs or drones) to avoid obstacles and to keep a safe distance from such. The paper describes the key components of the MATLAB/Simulink model and covers the subsystem of blocks for the UA V flight scenario. The authors have tested two scenarios based on vector field histograms (VFH) using different parameters, whereby the accuracy of tracing flight waypoints varied. Simulation results are shown in graphs. The paper further shows how the ROS simulator can use learning algorithms that could be tested on real aircraft.

AB - This paper presents an investigation into models that can be used to train unmanned aerial vehicles (UAVs or drones) to avoid obstacles and to keep a safe distance from such. The paper describes the key components of the MATLAB/Simulink model and covers the subsystem of blocks for the UA V flight scenario. The authors have tested two scenarios based on vector field histograms (VFH) using different parameters, whereby the accuracy of tracing flight waypoints varied. Simulation results are shown in graphs. The paper further shows how the ROS simulator can use learning algorithms that could be tested on real aircraft.

KW - collision avoidance

KW - drone

KW - Q-Learning algorithm

KW - ROS simulator

KW - vector field histogram

UR - http://www.scopus.com/inward/record.url?scp=85133126873&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/d2a00a7a-2711-3915-ba85-206ba017a26e/

U2 - 10.1109/icieam54945.2022.9787205

DO - 10.1109/icieam54945.2022.9787205

M3 - Conference contribution

AN - SCOPUS:85133126873

SN - 9781665483698

T3 - Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

SP - 740

EP - 745

BT - Proceedings - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

Y2 - 16 May 2022 through 20 May 2022

ER -

ID: 98339943