Advertisement

A Review on Collision Avoidance Systems for Unmanned Aerial Vehicles

  • Imen MahjriEmail author
  • Amine Dhraief
  • Abdelfettah Belghith
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9066)

Abstract

Unmanned Aerial Vehicles (UAVs) have seen an important growth in various military and civilian applications including surveillance, reconnaissance, homeland security and forest fire monitoring. Currently, UAVs are limited in their access to the civil airspace. The chief barrier confronting the routine and safe integration of UAVs into the civil airspace is their lack of an effective and standardized collision avoidance system. This paper presents a survey on collision avoidance systems for UAVs. We analyze the fundamental functions conducted by a collision avoidance system and review significant recent researches treating each function.

Keywords

Unmanned Aerial Vehicle (UAVs) collision avoidance system sensing technologies conflict detection conflict resolution 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Austin, R.: Unmanned aircraft systems: UAVS design, development and deployment, vol. 54. John Wiley & Sons (2011)Google Scholar
  2. 2.
    Dalamagkidis, K., Valavanis, K., Piegl, L.A.: On integrating unmanned aircraft systems into the national airspace system: issues, challenges, operational restrictions, certification, and recommendations, vol. 54. Springer Science & Business Media (2011)Google Scholar
  3. 3.
    Kuchar, J.K., Yang, L.C.: A review of conflict detection and resolution modeling methods. IEEE Transactions on Intelligent Transportation Systems 1(4), 179–189 (2000)CrossRefGoogle Scholar
  4. 4.
    Lacher, A.R., Maroney, D.R., Zeitlin, A.D.: Unmanned aircraft collision avoidance–technology assessment and evaluation methods. In: 7th Air Traffic Managemtent Research & Development Seminar (2007)Google Scholar
  5. 5.
    Albaker, B., Rahim, N.: A Conceptual Framework and a Review of Conflict Sensing, Detection, Awareness and Escape Maneuvering Methods for UAVs. INTECH Open Access Publisher (2011)Google Scholar
  6. 6.
    Kendoul, F.: Towards a unified framework for uas autonomy and technology readiness assessment (atra). In: Autonomous Control Systems and Vehicles, pp. 55–71. Springer (2013)Google Scholar
  7. 7.
    Munoz, C., Narkawicz, A., Chamberlain, J.: A tcas-ii resolution advisory detection algorithm. In: AIAA Guidance, Navigation and Control Conference, pp. 19–22 (2013)Google Scholar
  8. 8.
    Albaker, B., Rahim, N.: Straight projection conflict detection and cooperative avoidance for autonomous unmanned aircraft systems. In: 4th IEEE Conference on Industrial Electronics and Applications, pp. 1965–1969. IEEE (2009)Google Scholar
  9. 9.
    Tomlin, C., Pappas, G.J., Sastry, S.: Conflict resolution for air traffic management: A study in multiagent hybrid systems. IEEE Transactions on Automatic Control 43(4), 509–521 (1998)CrossRefzbMATHMathSciNetGoogle Scholar
  10. 10.
    Hu, J., Prandini, M., Sastry, S.: Aircraft conflict prediction in the presence of a spatially correlated wind field. IEEE Transactions on Intelligent Transportation Systems 6(3), 326–340 (2005)CrossRefGoogle Scholar
  11. 11.
    Liu, W., Hwang, I.: Probabilistic 4d trajectory prediction and conflict detection for air traffic control. In: 49th IEEE Conference on Decision and Control, pp. 1183–1188. IEEE (2010)Google Scholar
  12. 12.
    Yepes, J.L., Hwang, I., Rotea, M.: New algorithms for aircraft intent inference and trajectory prediction. Journal of Guidance, Control, and Dynamics 30(2), 370–382 (2007)CrossRefGoogle Scholar
  13. 13.
    Hwang, I., Seah, C.E.: Intent-based probabilistic conflict detection for the next generation air transportation system. Proceedings of the IEEE 96(12), 2040–2059 (2008)CrossRefGoogle Scholar
  14. 14.
    Munoz, C.A., Narkawicz, A.J.: Time of closest approach in three-dimensional airspace. Tech. rep., National Aeronautics and Space Administration, Langley Research Center (2010)Google Scholar
  15. 15.
    Leven, S., Zufferey, J.C., Floreano, D.: Dealing with midair collisions in dense collective aerial systems. Journal of Field Robotics 28(3), 405–423 (2011)CrossRefGoogle Scholar
  16. 16.
    Yang, L.C., Kuchar, J.K.: Performance metric alerting: A new design approach for complex alerting problems. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 32(1), 123–134 (2002)CrossRefGoogle Scholar
  17. 17.
    Carpenter, B., Kuchar, J.K.: Probability-based collision alerting logic for closely-spaced parallel approach. In: AIAA 35th Aerospace Sciences Meeting and Exhibit, Reno, pp. 97–0222 (1997)Google Scholar
  18. 18.
    Pallottino, L., Scordio, V.G., Bicchi, A., Frazzoli, E.: Decentralized cooperative policy for conflict resolution in multivehicle systems. IEEE Transactions on Robotics 23(6), 1170–1183 (2007)CrossRefGoogle Scholar
  19. 19.
    Chang, D.E., Shadden, S.C., Marsden, J.E., Olfati-Saber, R.: Collision avoidance for multiple agent systems. In: 42nd IEEE Conference on Decision and Control, vol. 1, pp. 539–543. IEEE (2003)Google Scholar
  20. 20.
    Wang, S., Schaub, H.: Spacecraft collision avoidance using coulomb forces with separation distance and rate feedback. Journal of Guidance, Control, and Dynamics 31(3), 740–750 (2008)CrossRefGoogle Scholar
  21. 21.
    Archibald, J.K., Hill, J.C., Jepsen, N.A., Stirling, W.C., Frost, R.L.: A satisficing approach to aircraft conflict resolution. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 38(4), 510–521 (2008)CrossRefGoogle Scholar
  22. 22.
    Mondoloni, S., Conway, S.: An airborne conflict resolution approach using a genetic algorithm. In: AIAA Guidance, Navigation, and Control Conference (2001)Google Scholar
  23. 23.
    Hoffmann, G.M., Tomlin, C.J.: Decentralized cooperative collision avoidance for acceleration constrained vehicles. In: 47th IEEE Conference on Decision and Control, pp. 4357–4363. IEEE (2008)Google Scholar
  24. 24.
    Sislak, D., Volf, P., Komenda, A., Samek, J., Pechoucek, M.: Agent-based multi-layer collision avoidance to unmanned aerial vehicles. In: International Conference on Integration of Knowledge Intensive Multi-Agent Systems, pp. 365–370. IEEE (2007)Google Scholar
  25. 25.
    Dowek, G., Munoz, C., Carreno, V.A.: Provably safe coordinated strategy for distributed conflict resolution. In: AIAA Guidance Navigation, and Control Conference and Exhibit (2005)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Imen Mahjri
    • 1
    Email author
  • Amine Dhraief
    • 1
  • Abdelfettah Belghith
    • 1
    • 2
  1. 1.HANA Research LaboratoryUniversity of ManoubaManoubaTunisia
  2. 2.College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

Personalised recommendations