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2024 | OriginalPaper | Chapter

1. Introduction

Authors : Andrea L’Afflitto, Gokhan Inalhan, Hyo-Sang Shin

Published in: Control of Autonomous Aerial Vehicles

Publisher: Springer Nature Switzerland

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Abstract

Although unmanned aerial vehicles (UAV) are now commonly employed for tasks that do not require interactions with the environment and other vehicles, such as collecting images and videos, these vehicles are not yet employed in more complex tasks as it would have been envisioned a decade ago. The reasons for this state-of-the-art are numerous, and mostly to be sought in the need for advanced guidance, navigation, and control systems that enable autonomy in complex, dynamic environments. In this chapter, we briefly outline some key aspects of the state of UAV technology. Successively, by providing the outline of this book, we explain in what directions research has been steered to address key shortcomings of UAVs for civilian applications.

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Literature
1.
go back to reference Valavanis K, Vachtsevanos G (2014) Handbook of unmanned aerial vehicles. Springer, Berlin, Germany MATH Valavanis K, Vachtsevanos G (2014) Handbook of unmanned aerial vehicles. Springer, Berlin, Germany MATH
2.
go back to reference Shakhatreh H, Sawalmeh AH, Al-Fuqaha A, Dou Z, Almaita E, Khalil I, Othman NS, Khreishah A, Guizani M (2019) Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges. IEEE Access, vol 7, pp 48 572–48 634 Shakhatreh H, Sawalmeh AH, Al-Fuqaha A, Dou Z, Almaita E, Khalil I, Othman NS, Khreishah A, Guizani M (2019) Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges. IEEE Access, vol 7, pp 48 572–48 634
3.
go back to reference Marshall JA, Sun W, L’Afflitto A (2021) A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems. Ann Rev Control 52:390–427 MathSciNetCrossRef Marshall JA, Sun W, L’Afflitto A (2021) A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems. Ann Rev Control 52:390–427 MathSciNetCrossRef
4.
go back to reference Villa DKD, Brandão AS, Sarcinelli-Filho M (2020) A survey on load transportation using multirotor UAVs. J Intell Robot Syst 98(2):267–296 CrossRef Villa DKD, Brandão AS, Sarcinelli-Filho M (2020) A survey on load transportation using multirotor UAVs. J Intell Robot Syst 98(2):267–296 CrossRef
5.
go back to reference Chebrolu N, Läbe T, Stachniss C (2018) Robust long-term registration of UAV images of crop fields for precision agriculture. IEEE Robot Autom Lett 3(4):3097–3104 CrossRef Chebrolu N, Läbe T, Stachniss C (2018) Robust long-term registration of UAV images of crop fields for precision agriculture. IEEE Robot Autom Lett 3(4):3097–3104 CrossRef
6.
go back to reference Furukawa F, Maruyama K, Saito YK, Kaneko M (2020) Corn height estimation using UAV for yield prediction and crop monitoring. Springer, Cham, pp 51–69 Furukawa F, Maruyama K, Saito YK, Kaneko M (2020) Corn height estimation using UAV for yield prediction and crop monitoring. Springer, Cham, pp 51–69
7.
go back to reference Qiu R, Liang Y (2020) A novel approach for two-stage UAV path planning in pipeline network inspection, ser. International pipeline conference, vol 3, 09 2020, v003T04A011 Qiu R, Liang Y (2020) A novel approach for two-stage UAV path planning in pipeline network inspection, ser. International pipeline conference, vol 3, 09 2020, v003T04A011
8.
go back to reference Car M, Markovic L, Ivanovic A, Orsag M, Bogdan S (2020) Autonomous wind-turbine blade inspection using LiDAR-equipped unmanned aerial vehicle. IEEE Access, vol 8, pp 131 380–131 387 Car M, Markovic L, Ivanovic A, Orsag M, Bogdan S (2020) Autonomous wind-turbine blade inspection using LiDAR-equipped unmanned aerial vehicle. IEEE Access, vol 8, pp 131 380–131 387
9.
go back to reference Asadi K, Kalkunte Suresh A, Ender A, Gotad S, Maniyar S, Anand S, Noghabaei M, Han K, Lobaton E, Wu T (2020) An integrated UGV-UAV system for construction site data collection. Automation in construction, vol 112, p 103068 Asadi K, Kalkunte Suresh A, Ender A, Gotad S, Maniyar S, Anand S, Noghabaei M, Han K, Lobaton E, Wu T (2020) An integrated UGV-UAV system for construction site data collection. Automation in construction, vol 112, p 103068
10.
go back to reference Liu H, Chen Q, Pan N, Sun Y, An Y, Pan D (2022) UAV stocktaking task-planning for industrial warehouses based on the improved hybrid differential evolution algorithm. IEEE Trans Ind Inform 18(1):582–591 CrossRef Liu H, Chen Q, Pan N, Sun Y, An Y, Pan D (2022) UAV stocktaking task-planning for industrial warehouses based on the improved hybrid differential evolution algorithm. IEEE Trans Ind Inform 18(1):582–591 CrossRef
11.
go back to reference Bonyan Khamseh H, Janabi-Sharifi F, Abdessameud A (2018) Aerial manipulation: a literature survey. Robot Auton Syst 107:221–235 Bonyan Khamseh H, Janabi-Sharifi F, Abdessameud A (2018) Aerial manipulation: a literature survey. Robot Auton Syst 107:221–235
12.
go back to reference Meng X, He Y, Han J (2020) Survey on aerial manipulator: system, modeling, and control. Robotica 38(7):1288–1317 CrossRef Meng X, He Y, Han J (2020) Survey on aerial manipulator: system, modeling, and control. Robotica 38(7):1288–1317 CrossRef
13.
go back to reference Zhang L, Zhao H, Hou S, Zhao Z, Xu H, Wu X, Wu Q, Zhang R (2019) A survey on 5G millimeter wave communications for UAV-assisted wireless networks. IEEE Access, vol 7, pp 117 460–117 504 Zhang L, Zhao H, Hou S, Zhao Z, Xu H, Wu X, Wu Q, Zhang R (2019) A survey on 5G millimeter wave communications for UAV-assisted wireless networks. IEEE Access, vol 7, pp 117 460–117 504
14.
go back to reference Shahzadi R, Ali M, Khan HZ, Naeem M (2021) UAV assisted 5G and beyond wireless networks: a survey. J Netw Comput Appl 189:103114 CrossRef Shahzadi R, Ali M, Khan HZ, Naeem M (2021) UAV assisted 5G and beyond wireless networks: a survey. J Netw Comput Appl 189:103114 CrossRef
15.
go back to reference Red planet selfie [the big picture]. IEEE Spectrum, vol 58, no 6, pp 14–15 (2021) Red planet selfie [the big picture]. IEEE Spectrum, vol 58, no 6, pp 14–15 (2021)
17.
go back to reference Ben-Asher J (2010) Optimal control theory with aerospace applications. American Institute of Aeronautics and Astronautics, Reston, VA CrossRef Ben-Asher J (2010) Optimal control theory with aerospace applications. American Institute of Aeronautics and Astronautics, Reston, VA CrossRef
18.
go back to reference Longuski J, Guzmán J, Prussing J (2013) Optimal control with aerospace applications. Springer, New York, NY MATH Longuski J, Guzmán J, Prussing J (2013) Optimal control with aerospace applications. Springer, New York, NY MATH
19.
go back to reference Faruqi F (2017) Differential game theory with applications to missiles and autonomous systems guidance. Wiley, Boston, MA CrossRef Faruqi F (2017) Differential game theory with applications to missiles and autonomous systems guidance. Wiley, Boston, MA CrossRef
20.
go back to reference Goerzen C, Kong Z, Mettler B (2009) A survey of motion planning algorithms from the perspective of autonomous UAV guidance. J Intell Robot Syst 57(1):65 MATH Goerzen C, Kong Z, Mettler B (2009) A survey of motion planning algorithms from the perspective of autonomous UAV guidance. J Intell Robot Syst 57(1):65 MATH
21.
go back to reference Aggarwal S, Kumar N (2020) Path planning techniques for unmanned aerial vehicles: a review, solutions, and challenges. Comput Commun 149:270–299 CrossRef Aggarwal S, Kumar N (2020) Path planning techniques for unmanned aerial vehicles: a review, solutions, and challenges. Comput Commun 149:270–299 CrossRef
22.
go back to reference Indu, Singh R (2020) Trajectory planning and optimization for UAV communication: a review. J Discrete Math Sci Crypt 23(2):475–483 Indu, Singh R (2020) Trajectory planning and optimization for UAV communication: a review. J Discrete Math Sci Crypt 23(2):475–483
23.
go back to reference Cabreira TM, Brisolara LB, Ferreira PR Jr (2019) Survey on coverage path planning with unmanned aerial vehicles. Drones, vol 3, no 1 Cabreira TM, Brisolara LB, Ferreira PR Jr (2019) Survey on coverage path planning with unmanned aerial vehicles. Drones, vol 3, no 1
24.
go back to reference Merhav S (1998) Aerospace sensor systems and applications. Springer, New York, NY Merhav S (1998) Aerospace sensor systems and applications. Springer, New York, NY
25.
go back to reference Beard R, McLain T (2012) Small unmanned aircraft: theory and practice. Princeton University Press, Princeton, NJ CrossRef Beard R, McLain T (2012) Small unmanned aircraft: theory and practice. Princeton University Press, Princeton, NJ CrossRef
26.
go back to reference L’Afflitto A, Anderson RB, Mohammadi K (2018) An introduction to nonlinear robust control for unmanned quadrotor aircraft. IEEE Control Syst Mag 38(3):102–121 CrossRef L’Afflitto A, Anderson RB, Mohammadi K (2018) An introduction to nonlinear robust control for unmanned quadrotor aircraft. IEEE Control Syst Mag 38(3):102–121 CrossRef
27.
go back to reference Kim J, Gadsden SA, Wilkerson SA (2020) A comprehensive survey of control strategies for autonomous quadrotors. Can J Electr Comput Eng 43(1):3–16 CrossRef Kim J, Gadsden SA, Wilkerson SA (2020) A comprehensive survey of control strategies for autonomous quadrotors. Can J Electr Comput Eng 43(1):3–16 CrossRef
28.
go back to reference Carrio A, Sampedro C, Rodriguez-Ramos A, Campoy P (2017) A review of deep learning methods and applications for unmanned aerial vehicles. J Sens 3296874 Carrio A, Sampedro C, Rodriguez-Ramos A, Campoy P (2017) A review of deep learning methods and applications for unmanned aerial vehicles. J Sens 3296874
29.
go back to reference Fraga-Lamas P, Ramos L, Mondéjar-Guerra V, Fernández-Caramés TM (2019) A review on IoT deep learning UAV systems for autonomous obstacle detection and collision avoidance. Remote Sens 11(18) Fraga-Lamas P, Ramos L, Mondéjar-Guerra V, Fernández-Caramés TM (2019) A review on IoT deep learning UAV systems for autonomous obstacle detection and collision avoidance. Remote Sens 11(18)
Metadata
Title
Introduction
Authors
Andrea L’Afflitto
Gokhan Inalhan
Hyo-Sang Shin
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-39767-7_1

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