Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Strategy for Ergonomic Design of Amphibian Vehicle Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Path Planning and Obstacle Avoidance of UAV Using Adaptive Differential Evolution

Authors : P. Nagendra Kumar, Prases K. Mohanty, Shubhasri Kundu

Published in: Innovative Product Design and Intelligent Manufacturing Systems

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Presently, the path planning and obstacle avoidance of unmanned aerial vehicle (UAV) are attracting research field. A variety of techniques have been introduced by the researchers for obtaining optimal path and avoiding obstacles in the path. This paper presents the implementation of adaptive differential evolution (DE) algorithm for collision avoidance as well as obtaining the optimal path in a static environment whereas former being given more importance. Compared to classical DE algorithm, the proposed adaptive DE allows the UAV to reach the target in an optimal path while avoiding obstacles in a collective manner. The overall performance of the proposed algorithm is verified by simulation results.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Investigation on the Effect of Different Dielectric Fluids During Powder Mixed EDM of Alloy Steel
next chapter Effect of Crack Severity on a Curved Cantilever Beam Using Differential Quadrature Element Method
Literature
1.
Liu P, Chen AY, Huang YN, Han JY, Lai JS, Kang SC, Wu TH, Wen MC, Tsai MH (2014) A review of rotorcraft unmanned aerial vehicle (UAV) developments and applications in civil engineering. Smart Struct Syst 13(6):1065–1094CrossRef
2.
Goel U, Varshney S, Jain A, Maheshwari S, Anupam S (2018) Three dimensional path planning for UAVs in a dynamic environment using Glow-worm swarm optimization. Proc Comput Sci 133:230–239CrossRef
3.
Mohammadreza R, Kumar M (2015) Grey wolf optimization based sense and avoid algorithm for UAV path planning in the uncertain environment using a Bayesian framework. In: International conference on unmanned aircraft systems (ICUAS), June 7–10. Arlington, VA, USA
4.
Nikolos IK, Valavanis KP, Tsourveloudis NC, Kostaras AN (2016) Evolutionary algorithm based offline/online path planner for UAV navigation. IEEE Trans Syst Man Cybern B Cybern 33(6):898–912CrossRef
5.
Ruan D, Montero J, Lu J, Martinez L, Dhondt P, Kerre EE (2008) Multiobjective path planner for UAVs based on genetic algorithms. In: Proceedings of international conference on fuzzy logic and intelligent technologies in nuclear science, pp 997–1002. Madrid, Spain, September 21–24
6.
Wang ZH, Zhang WG, Shi JP, Han Y (2008) UAV route planning using multiobjective ant colony system. In: Proceedings of IEEE conference on cybernetics and intelligent system, pp 797–800. Chengdu, China, September 21–24
7.
Li X, Xie J, Cai MY, Xie M, Wang ZK (2009) Path planning for UAV based on improved heuristic A* algorithm. In: Proceedings of international conference on electronic measurement & instruments, pp 3488–3493. Beijing, August 16–19
8.
Foo JL, Knutzon J, Kalivarapu V, Oliver J, Winer E (2009) Path planning of unmanned aerial vehicles using B-Splines and particle swarm optimization. J Aerosp Comput Inf Commun 6(4):271–290CrossRef
9.
Zhan W, Wang W, Chen N, Chao W (2014) Efficient UAV path planning with multiconstraint in a 3D large battlefield environment. Hindawi Publishing Corporation, Mathematical Problems in Engineering, vol 2014, Article ID 597092, 12 p
10.
Peng Y, Honglun W, Zikang S (2015) Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in a complex dynamic environment. Aerospace science and technology, Elsevier
11.
Lu Y, Xue Z, Xia GS, Zhang L (2017) A survey on vision-based UAV navigation. Geo-Spatial Information Science, Taylor & Francis
12.
Kitamura Y, Tanaka T, Kishino F, Yachida M (1995) 3-D Path planning in a dynamic environment using an Octree and an artificial potential field. IEEE, New York
13.
Mac TT, Copot C, Tran DT, Keyser RD (2016) Heuristic approaches in robot path planning: a survey. Rob Autonom Syst 86:13–28CrossRef
14.
Hoy M, Matveev AS, Garratt M, Savkin AV (2012) Collision-free navigation of an autonomous unmanned helicopter in unknown urban environments: sliding mode and MPC approaches. Robotica 30:537–550CrossRef
15.
16.
Price K, Storn R, Lampinen J (2005) Differential evolution: a practical approach to global optimization. Springer, BerlinMATH
17.
Storn R, Price KV (1997) Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces. J Global Opt 11(4):341–359MathSciNetCrossRef
18.
Das S, Suganthan PN (2011) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evol Comput 15(1):4–31CrossRef
19.
Gamperle R, Muller SD, Koumoutsakos P (2002) A parameter study for differential evolution. In: Grmela A, Mastorakis NE (eds) Advances in intelligent systems, fuzzy systems, evolutionary computation. WSEAS Press, Interlaken, pp 293–298
20.
Ronkkonen J, Kukkonen S, Price KV (2005) Real parameter optimization with differential evolution. In: IEEE Congress on evolutionary computation (CEC), vol 1, Edinburgh, 5 September 2005, pp 506–513. IEEE, New York
21.
Kaelo P, Ali MM (2006) A numerical study of some modified differential evolution algorithms. Eur J Oper Res 169:1176–1184MathSciNetCrossRef
22.
Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(12):108–132MathSciNetMATH
23.
Brest J, Greiner S, Boskovi B et al (2006) Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans Evol Comput 10(6):646–657CrossRef
Metadata
Title
Path Planning and Obstacle Avoidance of UAV Using Adaptive Differential Evolution
Authors
P. Nagendra Kumar
Prases K. Mohanty
Shubhasri Kundu
Copyright Year
2020
Publisher
Springer Singapore
Book
Innovative Product Design and Intelligent Manufacturing Systems

Print ISBN: 978-981-15-2695-4

Electronic ISBN: 978-981-15-2696-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-2696-1_104

Premium Partners

    Image Credits