Skip to main content
Log in

Asynchronous double-precision windows based unmanned aerial vehicle real-time path planning

  • Research Papers
  • Special Focus
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

A real-time path planning approach based on asynchronous double-precision windows is proposed for unmanned aerial vehicles (UAVs). In this proposed method, cursory paths and elaborate paths are planned respectively in the global and local windows. Specifically, global cursory path planner and local elaborate path planner are integrated by rolling two windows on different frequencies with different modes. Simulation results demonstrate that the proposed approach is effective for realizing a balance between the optimality and the time efficiency of online path planning by adapting the range of windows and the precision of samples.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Long T, Su F, Zhu H Y, et al. Research on UAV route planning in dynamic battlefield environment (in Chinese). J Astronaut, 2006, 27: 24–28

    Google Scholar 

  2. Frazzoli E. Robust hybrid control for autonomous vehicle motion planning. Ph.D. thesis. Massachusetts: Massachusetts Institute of Technology. 2001

    Google Scholar 

  3. Kuwata Y, How J P. Three-dimensional receding horizon control for UAVs. In: AIAA Guidance, Navigation and Control Conference and Exhibit. Providence, Rhode Island, 2004. AIAA-2004-5144

  4. Hammouri O M, Matalgah M M. Voronio path planning technique for recovering communication in UAVs. In: Proc. of the AICCSA 2008 IEEE/ACS International Conference on Computer Systems and Application, Doha, Qatar, 2008. 403–406

  5. Ren M, Huo X H, Shen L C. A fast trajectory planning method for UAV base on PRM (in Chinese). Syst Simul, 2008, 20: 486–489

    Google Scholar 

  6. Korf R. Real-time heuristic search. Artif Intell, 1990, 42: 189–211

    Article  MATH  Google Scholar 

  7. Szczerba R J. Galkowski P, Glicktein I S, et al. Robust algorithm for real-time route planning. IEEE Trans Aerospace Electr Syst, 2000, 36: 869–878

    Article  Google Scholar 

  8. Nikolos I K, Brintaki A N. Coordinated UAV path planning using difference evolution. In: Proc. of the 2005 IEEE International Symposium on Mediterrean Conference on Control and Automation, Limassol, 2005. 549–556

  9. Ma C J, Duan H B, Liu S Q. Improved ant colony algorithm for global optimal trajectory planning of UAV under complex environment. Int J Comput Sci Appl, 2008, 4: 57–68

    Google Scholar 

  10. Francois C J. FPGA implementation of genetic algorithm for UAV real-time path planning. J Intell Robot Syst, 2007, 54: 495–510

    Google Scholar 

  11. Huo X H. Research on modeling and rolling optimization methods for multi-UCAV dynamic cooperative mission planning. Ph.D thesis. Changsha: National University of Defense Technology, 2007

    Google Scholar 

  12. Zhang C G, Xi Y G. Rolling path planning and safety analysis of mobile robot in dynamic uncertain environment (in Chinese). Control Theory Appl, 2003, 20: 37–44

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Ren.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ren, M., Huo, X. Asynchronous double-precision windows based unmanned aerial vehicle real-time path planning. Sci. China Inf. Sci. 53, 215–222 (2010). https://doi.org/10.1007/s11432-010-0043-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-010-0043-7

Keywords

Navigation