A mono-camera and scanning laser range finder based UAV indoor navigation system

This paper presents a comprehensive control and navigation scheme for an indoor UAV system. In addition to the inertial measurement unit commonly used onboard of most UAVs, the testbed quadrotor platform is also equipped with a mono-camera looking downwards and a laser range finder capable of scanning a level plane. With this setup, the UAV is able to estimate its own velocity and position robustly, while flying along the internal walls of a room without collision. The whole system does not require any remote sensory information or off-line computational power. All algorithms are self-sustained and running onboard in real time. Complete flight tests have been carried out to verify the solution.

[1]  Abraham Bachrach,et al.  Autonomous flight in unstructured and unknown indoor environments , 2009 .

[2]  Emanuele Frontoni,et al.  Vision-based autonomous navigation and landing of an unmanned aerial vehicle using natural landmarks , 2009, 2009 17th Mediterranean Conference on Control and Automation.

[3]  Dario Floreano,et al.  Quadrotor Using Minimal Sensing For Autonomous Indoor Flight , 2007 .

[4]  Real time path planning for UAV based on Focused D , 2011, The Fourth International Workshop on Advanced Computational Intelligence.

[5]  Robert Mahony,et al.  Modelling and control of a quad-rotor robot , 2006 .

[6]  W. Marsden I and J , 2012 .

[7]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[8]  Vijay Kumar,et al.  Autonomous multi-floor indoor navigation with a computationally constrained MAV , 2011, 2011 IEEE International Conference on Robotics and Automation.

[9]  Abdelhamid Tayebi,et al.  Attitude stabilization of a VTOL quadrotor aircraft , 2006, IEEE Transactions on Control Systems Technology.

[10]  S. Shankar Sastry,et al.  An Invitation to 3-D Vision , 2004 .

[11]  Qiong-hai Dai,et al.  Vision aided unmanned aerial vehicle autonomy: An overview , 2010, 2010 3rd International Congress on Image and Signal Processing.

[12]  Kalyanmoy Deb,et al.  Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.

[13]  In So Kweon,et al.  Vision-based autonomous navigation based on motion estimation , 2008, 2008 International Conference on Control, Automation and Systems.

[14]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[15]  Y. Qu,et al.  Flight path planning of UAV based on heuristically search and genetic algorithms , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..