An investigation of micro aerial vehicles (µAV)

  • Authors

    • S Swetha
    • R Anandan
    • K Kalaivani
    https://doi.org/10.14419/ijet.v7i2.31.13434

    Received date: May 29, 2018

    Accepted date: May 29, 2018

    Published date: May 29, 2018

  • Remote sensor systems, unmanned flying vehicle, ad-hoc networks, routing.

  • Abstract

    Quadcopter UAV also known as quadrotor  is the  another form of helicopters having more spirited firmness than helicopters. They play a paramount role in divergent areas like military operations, surveillance, fire sensing and some important areas having many complications. Quadcopters are UAV's with capability of perpendicular takeoffs, arrivals and drift at a crave location. This survey paper addresses the delineation and evolution of a proclivity arm quadcopter for mini payload and longtime endurance.

  • References

    1. Achtelik M, Bachrach A, He R, Prentice S & Roy N, “Stereo vision and laser odometry for autonomous helicopters in gps-denied indoor environments”, SPIE Unmanned Systems Technology XI, (2009).
    2. Celik K, Chung SJ, Clausman M & Somani AK, “Monocular vision slam for indoor aerial vehicles”, IROS, (2009).
    3. Goesele M, Snavely N, Curless B, Seitz SM & Hoppe H, “Multiview stereo for community photo collections”, ICCV, (2007).
    4. Zingg S, Scaramuzza D, Weiss S & Siegwart R, “Mav navigation through indoor corridors using optical flow”, ICRA, (2010).
    5. Saxena A, Chung S & Ng A, “Learning depth from single monocular images”, NIPS, (2005).
    6. Michels J, Saxena A & Ng AY, “High speed obstacle avoidance using monocular vision and reinforcement learning”, ICML, (2005).
    7. Abbeel P, Coates A, Quigley M & Ng AY, “An application of reinforcement learning to aerobatic helicopter flight”, NIPS, (2006).
    8. Feron E & Bayraktar S, “Aggressive landing maneuvers for unmanned aerial vehicles”, AIAA GN&C, (2006).
    9. Gavrilets V, Martinos I, Mettler B & Feron E, “Control logic for automated aerobatic flight of miniature helicopter”, AIAA GN&C, (2002).
    10. Coates A, Abbeel P & Ng AY, “Learning for control from multiple demonstrations”, ICML, (2008).
    11. Roberts J, Stirling T, Zufferey JC & Floreano D, “Quadrotor using minimal sensing for autonomous indoor flight”, EMAV, (2007).
    12. Nicoud JD & Zufferey JC, “Toward indoor flying robots”, IROS, (2002).
    13. Schafroth D, Bouabdallah S, Bermes C & Siegwart R, “From the test benches to the first prototype of the mufly micro helicopter”, JIRS, Vol.54, (2009), pp.245–260.
    14. Mejias L, Roberts J, Usher K, Corke P & Campoy P, “Two seconds to touchdown vision-based controlled forced landing”, IROS, (2006).
    15. Moore RJD, Thurrowgood S, Bland DP, Soccol D & Srinivasan M, “A stereo vision system for uav guidance”, IROS, (2009).
    16. Johnson N, “Vision-assisted control of a hovering air vehicle in an indoor setting”, Ph.D. dissertation, Bringham Young University, (2008).
    17. Kendoul F & Nonami K, “A visual navigation system for autonomous flight of micro air vehicles”, IROS, (2009).
    18. Cherian A, Andersh J, Morellas V, Papanikolopoulos N & Mettler B, “Autonomous altitude estimation of a uav using a single onboard camera”, IROS, (2009).
    19. Fan C, Baoquan S, Cai X & Liu Y, “Dynamic visual servoing of a small scale autonomous helicopter in uncalibrated environments”, IROS, (2009).
    20. Tournier G, Valenti M & How JP, “Estimation and control of a quadrotor vehicle using monocular vision and moirre patterns”, AIAA GN&C, (2006).
    21. Soundararaj S, Sujeeth A & Saxena A, “Autonomous indoor helicopter flight using a single onboard camera”, IROS, (2009).
    22. Courbon J, Mezouar Y, Guenard N & Martinet P, “Visual navigation of a quadrotor aerial vehicle”, IROS, (2009).
    23. Mori R, Hirata K & Kinoshita T, “Vision-based guidance control of a small-scale unmanned helicopter”, IROS, (2007).
    24. Saxena A, Chung S & Ng A, “3-d depth reconstruction from a single still image”, IJCV, Vol.76, No.1, (2008), pp.53–69.
    25. Saxena A, Sun M & Ng A, “Make3d: Learning 3D Scene Structure from a Single Still Image”, IEEE Transactions on Pattern Analysis and Machine Intelligence, (2008), pp.824–840.
    26. Williams B, Cummins M, Neira J, Newmann P, Reid I & Tardos J, “An image-to-map loop closing method for monocular slam”, IROS, (2008).

  • Downloads

  • How to Cite

    Swetha, S., Anandan, R., & Kalaivani, K. (2018). An investigation of micro aerial vehicles (µAV). International Journal of Engineering and Technology, 7(2.31), 174-177. https://doi.org/10.14419/ijet.v7i2.31.13434