[1. Bresciani T. (2008), Modelling, Identification and Control of a Quadrotor Helicopter, Master’s thesis, Lund University, Sweden.]Search in Google Scholar
[2. Cieśluk J., Gosiewski Z. (2012), Vision sky detection system used to obstacle avoidance by unmanned aerial, Mechanics in Aviation XV, 2012, pp. 509-523.]Search in Google Scholar
[3. Cieśluk J., Gosiewski Z. (2013), A Stereovision System for Real Time Obstacle Avoidance by Unmanned Aerial Vehicle, Solid State Phenomena, Vol 198, pp. 159-164.]Search in Google Scholar
[4. Cieśluk J., Gosiewski Z. (2014), Image brightness control method used for obstacles avoidance by unmanned aerial vehicle, Mechanics in Aviation, 16, 2014, 279-290.]Search in Google Scholar
[5. Guzel M. S., Bicker R. (2011), Vision Based Obstacle Avoidance Techniques, Recent Advances in Mobile Robotics, Dr. AndonTopalov (Ed.), InTech, UK, 83-101.]Search in Google Scholar
[6. Herisse B., Russotto, F.-X., Hamel, T., Mahony, R. (2008), Hovering flight and vertical landing control of a VTOL Unmanned Aerial Vehicle using Optical Flow, IEEE International Conference on Intelligent Robots and Systems,pp. 801 - 806.]Search in Google Scholar
[7. Hoffmann G. M., Huang H., Waslander S. L, Tomlin C. J. (2011), Precision flight control for a multi-vehicle quadrotor helicopter testbed, Control Engineering Practice, Vol. 19, 1023-1036.]Search in Google Scholar
[8. Khatib O. (1985), The Potential Field Approach and Operational Space Formulation in Robot Control, Proc. Fourth Yale Workshop on Applications of Adaptive Systems Theory, Yale University, New Haven, Connecticut, 208-214.]Search in Google Scholar
[9. Kownacki C. (2013), Successful Application of Miniature Laser Rangefinders in Obstacle Avoidance Method for Fixed Wing MAV, International Journal of Robotics and Automation, 10.2316/ Journal.206.2013.3.206-3936.]Search in Google Scholar
[10. Meier L., Tanskanen P., Heng L., Lee G. H., Fraundorfer F., Pollefeys M. (2012), PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision, Autonomous Robots, 33 (1-2), 21-39.10.1007/s10514-012-9281-4]Search in Google Scholar
[11. Mellinger D., Michael N., Kumar K. (2012), Trajectory generation and control for precise aggressive maneuvers with quadrotors, The International Journal of Robotics Research, Vol. 31, No. 5, 664-674.]Search in Google Scholar
[12. Modi S. B., Chandak P., Murty V. S., Hall E. L. (2001), Comparison of three obstacle-avoidance methods for a mobile robot, Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, pp. 290-297.]Search in Google Scholar
[13. Sabatini R., Gardi A., Richardson M. A. (2014), LIDAR Obstacle Warning and Avoidance System for Unmanned Aircraft, International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering, Vol. 8, No 4, 702-713.]Search in Google Scholar
[14. Shojaeipour S. (2010), Webcam-based mobile robot path planning using Voronoi diagrams and image processing, Proceedings of the 9th WSEAS international conference on Applications of electrical engineering, World Scientific and Engineering Academy and Society (WSEAS), Penang, Malaysia, 151-156.]Search in Google Scholar
[15. Soumare S., Ohya A., Yuta S. (2002), Real-Time Obstacle Avoidance by an Autonomous Mobile Robot using an Active Vision Sensor and a Vertically Emitted Laser Slit, Intelligent Autonomous Systems, 7, 301-308.]Search in Google Scholar
[16. Wang L. (2001), Continuous time model predictive control design using orthonormal functions, International Journal of Control, Vol. 74(16), 1588-1600.]Search in Google Scholar
