A Novel Vision Based Protocol for Controlling Flapping Wing Vehicles in Indoor Surveillance Mission

Sankarasrinivasan Seshadri¹ , Balasubramanian Esakki This email address is being protected from spambots. You need JavaScript enabled to view it.¹, Lung-Jieh Yang² , Udayagiri Chandrasekhar¹ and Sarasu Packiriswamy¹

¹Centre for Autonomous System Research, Vel Tech University, Chennai, India
²Department of Mechanical and Electromechanical Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.

REFERENCES

1. [1] Deng, X., Schenato, L. and Sastry, S. S., “Flapping Flight for Biomimetic Robotic Insects: Part II-flight Control Design,” IEEE Transactions on Robotics, Vol. 22, No. 4, pp. 789803 (2006). doi: 10.1109/TRO. 2006.875483
2. [2] Khan, Z. A. and Agrawal, S. K., “Design and Optimization of a Biologically Inspired Flapping Mechanism for Flapping Wing Micro Air Vehicles,” IEEE International Conference on Robotics and Automation, Rome, Italy, pp. 373378 (2007). doi: 10.1109/ROBOT.2007. 363815
3. [3] Shigeoka, K. S., “Velocity and Altitude Control of an Ornithopter Micro Aerial Vehicle,” Master’s thesis, The University of Utah, USA (2007).
4. [4] Yang, L. J., Balasubramanian, E., Chandrasekhar, U., Hung, K.-H. and Cheng, C.-M., “Practical Flapping Mechanisms for 20 cm-span Micro Air Vehicles,” International Journal of Micro Aerial Vehicle, Vol. 7, No. 2, pp. 181202 (2015). doi: 10.1260/1756-8293.7. 2.181
5. [5] de Croon, G., de Clerq, K., Ruijsink, R., Remes, B. and de Wagter, C., “Design, Aerodynamics and Visionbased Control of the DelFly,” International Journal of Micro Air Vehicles, Vol. 1, No. 2, pp. 7197 (2009). doi: 10.1260/175682909789498288
6. [6] Mak, L. C., Whitty, M. and Furukawa, T., “A Localisation System for an Indoor Rotary-wing MAV Using Blade Mounted LEDs,” Sensor Review, Vol. 28, No. 2, pp. 125131 (2008). doi: 10.1108/02602280810856688
7. [7] Rudol, P., Wzorek, M., Conte, G. and Doherty, P., “Micro Unmanned Aerial Vehicle Visual Servoing for Cooperative Indoor Exploration,” Proceedings of the 2008 IEEE Aerospace Conference, Montana, USA, pp. 110 (2008). doi: 10.1109/AERO.2008.4526558
8. [8] Kemp, C., Visual Control of a Quad-Rotor Helicopter, Ph.D. Dissertation, Churchill College, University of Cambridge, UK (2006).
9. [9] Elik, K. C., Chung, S.-J. and Somani, A., “Mono-vision Corner SLAM for Indoor Navigation,” IEEE International Conference on Electro/Information Tech - nology 2008, Ames, IA, pp. 343348 (2008). doi: 10. 1109/EIT.2008.4554326
10. [10] Ahrens, S., Vision-based Guidance and Control of a Hovering Vehicle in Unknown Environments, M.Sc. thesis, MIT, USA, June (2008). doi: 10.1109/ROBOT. 2009.5152680
11. [11] Ruffier, F. and Franceschini, N., “Optic Flow Regulation: the Key to Aircraft Automatic Guidance,” Robotics and Autonomous Systems, Vol. 50, No. 4, pp. 177194 (2005). doi: 10.1016/j.robot.2004.09.016
12. [12] Barrows, G., Neely, C. and Miller, K., “Optic Flow Sensors for MAV Navigation,” in Fixed and Flapping Wing Aerodynamics for Micro Air Vehicle Applications, Progress in Astronautics and Aeronautics, T. J. Mueller, Ed. AIAA, Vol. 195, pp. 557574 (2001). doi: 10.2514/5.9781600866654.0557.0574
13. [13] Yu, Z.-Y., et al., “3D Vision Based Landing Control of a Small Scale Autonomous Helicopter,” International Journal of Advanced Robotic Systems, Vol. 4, No. 1, pp. 5156 (2007). doi: 10.5772/5710
14. [14] Sinisa, T. and Nechyba, M. C., “A Vision System for Intelligent Mission Profiles of Micro Air Vehicles,” IEEE Transactions on Vehicular Technology, Vol. 53, No. 6, pp. 17131725 (2004). doi: 10.1109/TVT.2004. 834880
15. [15] De Christophe, W., et al., “Autonomous Flight of a 20- gram Flapping Wing MAV with a 4-gram Onboard Stereo Vision System,” IEEE International Conference on Robotics and Automation (ICRA 2014), Hong-Kong, pp. 49824987 (2014). doi: 10.1109/ICRA.2014.6907 589
16. [16] Moore, R. J. D., et al., “Autonomous MAV Guidance with a Lightweight Omnidirectional Vision Sensor,” IEEE International Conference on Robotics and Automation (ICRA 2014) Hong-Kong, pp. 38563861 (2014). doi: 10.1109/ICRA.2014.6907418
17. [17] Shen, S., Nathan M. and Vijay K., “Autonomous Multifloor Indoor Navigation with a Computationally Constrained MAV,” IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, pp. 2025 (2011). doi: 10.1109/ICRA.2011.5980357
18. [18] Ruffier, F. and Franceschini, N., “Optic Flow Regulation: the Key to Aircraft Automatic Guidance,” Robotics and Autonomous Systems, Vol. 50, No. 4, pp. 177194 (2005). doi: 10.1016/j.robot.2004.09.016
19. [19] de Croon, G., de Weerdt, E., de Wagter, C. and Remes, B., “The Appearance Variation Cue for Obstacle Avoidance,” IEEE International Conference on Robotics and Biomimetics (ROBIO), Tianjin, pp. 16061611 (2010). doi: 10.1109/ROBIO.2010.5723570
20. [20] Baek, S. and Fearing, R., “Flight Forces and Altitude Regulation of 12 Gram I-Bird,” IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), Tokyo, Japan, pp. 454460 (2010). doi: 10.1109/BIOROB.2010.5626347
21. [21] Zufferey, J.-C., Klaptocz, A., Beyeler, A., Nicoud, J.- D. and Floreano, D., “A 10-gram Microflyer for Vision-based Indoor Navigation,” Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, pp. 3267 3272 (2006). doi: 10.1109/IROS.2006.282436
22. [22] Zufferey, J.-C., Beyeler, A. and Floreano, D., Flying Insects and Robots, Edited by Dario Floreano, JeanChristophe Zuffery, Mandyam V. Srinavasan and Charlie Ellington, Springer, Chapter 6, Optic Flow to Steer and Avoid Collision in 3D, pp. 7386 (2009). doi: 10. 1007/978-3-540-89393-6_6
23. [23] Hsiao, F. Y., Hsu, H. K., Chen, C. L., Yang, L. J. and Shen, J. F., “Using Stereo Vision to Acquire the Flight Information of Flapping-wing MAVs,” Journal of Applied Science and Engineering, Vol. 15, No. 3, pp. 213 226 (2012). doi: 10.6180/jase.2012.15.3.02
24. [24] Nelson, D. R., et al., “Vector Field Path Following for Miniature Air Vehicles,” IEEE Transactions on Robotics, Vol. 23, No. 3, pp. 519529 (2007). doi: 10.1109/ TRO.2007.898976
25. [25] Cooper, B., Chen, J. and Saxena, A., “Autonomous MAV Flight in Indoor Environments Using Single Image Perspective Cues,” IEEE International Conference on Robotics and automation (ICRA 2011), Shanghai, pp. 57765783 (2011). doi: 10.1109/ICRA.2011.5980136
26. [26] Fairchild, M. D., Color Appearance Models, John Wiley & Sons (2013). doi: 10.1002/9781118653128. ch16
27. [27] Sankarasrinivasan, S, Balasubramanian, E., Hsiao, F. Y. and Yang, L. J., “Robust Target Tracking Algorithm for MAV Navigation System,” IEEE International Conference on Industrial Instrumentation and Control (ICIC 2015), Pune, pp. 269274 (2015). doi: 10.1109/ IIC.2015.7150751
28. [28] Cheng, H.-D., et al., “Color Image Segmentation: Advances and Prospects,” Pattern Recognition, Vol. 34, No. 12, pp. 22592281 (2001). doi: 10.1016/S0031- 3203(00)00149-7