Autonomous landing of MAVs on an arbitrarily textured landing site using onboard monocular vision

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 74, Issue 1-2, 2014, Pages 27-43

  Yang, Shaowu ^a   Scherer, Sebastian A ^a   Schauwecker, Konstantin ^a   Zell, Andreas ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

Autonomous landing; Autonomous navigation; Micro aerial vehicles; Monocular vision; SLAM

Indexed keywords

AUTONOMOUS LANDING; AUTONOMOUS NAVIGATION; MICRO AERIAL VEHICLE; MONOCULAR VISION; SLAM;

COMPUTER VISION; MICRO AIR VEHICLE (MAV); VISION;

LANDING;

EID: 84892792537     PISSN: 09210296     EISSN: 15730409     Source Type: Journal    
DOI: 10.1007/s10846-013-9906-7     Document Type: Article

References (31)

1. Achtelik, M.; Achtelik, M.; Weiss, S.; Siegwart, R.: Onboard imu and monocular vision based control for mavs in unknown in- and outdoor environments. In: Proceedings 2011 the IEEE International Conference on Robotics and Automation (2011)
2. Bloesch, M.; Weiss, S.; Scaramuzza, D.; Siegwart, R.: Vision based MAV navigation in unknown and unstructured environments. In: Proceedings 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, pp. 21-28 (2010)
3. Bouguet, J.Y.: Camera Calibration Toolbox for Matlab. http://www.vision.caltech.edu/bouguetj/calib-doc (2004)
4. Castle, R.O.; Klein, G.; Murray, D.W.: Combining monoSLAM with object recognition for scene augmentation using a wearable camera. Image Vis. Comput. 28(11), 1548-1556 (2010)
5. Castle, R.O.; Murray, D.W.: Keyframe-based recognition and localization during video-rate parallel tracking and mapping. Image Vis. Comput. 29(8), 524-532 (2011). doi: 10.1016/j.imavis.2011.05.002
6. Bradski, G.: The OpenCV Library. Dr. Dobb's Journal of Software Tools (2000)
7. Calonder, M.; Lepetit, V.; Strecha, C.; Fua, P.: BRIEF: binary robust independent elementary features. In: European Conference on Computer Vision (2010)
8. Cesetti, A.; Frontoni, E.; Mancini, A.; Zingaretti, P.; Longhi, S.: A vision-based guidance system for UAV navigation and safe landing using natural landmarks. J. Intell. Robot. Syst. 57(1-4), 233-257 (2010)
9. Davison, A.J.: Real-time simultaneous localisation and mapping with a single camera. In: Proc 9th IEEE Int. Conf. on Computer Vision, pp. 1403-1410 (2003)
10. Fraundorfer, F.; Heng, L.; Honegger, D.; Lee, G.; Tanskanen, P.; Pollefeys, M.: Vision-based autonomous mapping and exploration using a quadrotor MAV. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2012)
11. Garcia-Pardoa, P.J.; Sukhatmeb, G.S.; Montgomery, J.F.: Towards vision-based safe landing for an autonomous helicopter. Robot. Auton. Syst. 38(1), 19-29 (2002) (Pubitemid 34110166)
12. Grzonka, S.; Grisetti, G.; Burgard, W.: Towards a navigation system for autonomous indoor flying. In: 2009 IEEE International Conference on Robotics and Automation, pp. 2878-2883 (2009)
13. Klein, G.; Murray, D.: Parallel tracking and mapping for small AR workspaces. In: International Symposium on Mixed and Augmented Reality, pp. 225-234 (2007)
14. Lu, H.; Zheng, Z.: Two novel real-time local visual features for omnidirectional vision. Pattern Recog. 43(12), 3938-3949 (2010)
15. Lu, H.; Zhang, H.; Yang, S.; Zheng, Z.: Camera parameters auto-adjusting technique for robust robot vision. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 1518-1523 (2010)
16. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91-110 (2004)
17. Mahony, R.; Kumar, V.; Corke, P.: Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Robot. Autom. Mag. 19(3), 20-32 (2012)
18. Mondragón, I.F.; Campoy, P.; Martínez, C.; Olivares-Méndez, M.A.: 3D pose estimation based on planar object tracking for UAVs control. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 35-41 (2010)
19. Meier, L.; Tanskanen, P.; Heng, L.; Lee, G.H.; Fraundorfer, F.; Pollefeys, M.: PIXHAWK: a micro aerial vehicle design for autonomous flight using onboard computer vision. Auton. Robot. 33(1-2), 21-39 (2012)
20. Mellinger, D.; Michael, N.; Kumar, V.: Trajectory generation and control for precise aggressive maneuvers with quadrotors. Int. J. Robot. Res. 31(5), 664-674 (2012)
21. Rublee, E.; Rabaud, V.; Konolige, K.; Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: 2011 IEEE International Conference on Computer Vision (ICCV) (2011)
22. Quigley, M.; Gerkey, B.; Conley, K.; Faust, J.; Foote, T.; Leibs, J.; Berger, E.; Wheeler, R.; Ng, A.: ROS: an open-source robot operating system. In: Open-Source Software Workshop of the Int. Conf. on Robotics and Automation, Kobe, Japan (2009)
23. Rosten, E.; Drummond, T.: Machine learning for high-speed corner detection. In: Proc. 9th European Conference on Computer Vision (ECCV'06), Graz (2006)
24. Saripalli, S.; Montgomery, J.F.; Sukhatme, G.S.: Visually guided landing of an unmanned aerial vehicle. IEEE Trans. Robot. Autom. 19(3), 371-380 (2003)
25. Scherer, S.A.; Dube, D.; Komma, P.; Masselli, A.; Zell, A.: Robust real-time number sign detection on a mobile outdoor robot. In: Proceedings of the 6th European Conference on Mobile Robots (ECMR 2011), Orebro, Sweden (2011)
26. Scherer, S.A.; Dube, D.; Zell, A.: Using depth in visual simultaneous localisation and mapping. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 5216-5221 (2012)
27. Schauwecker, K.; Ke, N.R.; Scherer, S.A.; Zell, A.: Markerless visual control of a quad-rotor micro aerial vehicle by means of on-board stereo processing. In: Autonomous Mobile System Conference (AMS), pp. 11-20 Springer (2012)
28. Shen, S.; Michael, N.; Kumar, V.: Autonomous multi-floor indoor navigation with a computationally constrained MAV. In: 2011 IEEE International Conference on Robotics and Automation, pp. 20-25 (2011)
29. Weiss, S.; Scaramuzza, D.; Siegwart, R.: Monocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments. Field Robot. 28(6), 854-874 (2011)
30. Yang, S.; Scherer, S.A.; Zell, A: An onboard monocular vision system for autonomous takeoff, hovering and landing of a micro aerial vehicle. J. Intell. Robot. Syst. 69(1-4), 499-515 (2013)
31. Yang, S.; Scherer, S.A.; Schauwecker, K.; Zell, A.: Onboard monocular vision for landing of an MAV on a landing site specified by a single reference image. In: 2013 International Conference on Unmanned Aircraft Systems (ICUAS'13), pp. 317-324 (2013)