Simulation study of homography-based vision-aided inertial navigation for aerial vehicles

This research proposes a novel scheme for vision-aided inertial navigation based on planar homography. By exploiting the multiplicative group property of homography matrices, extended Kalman filter-based vision aiding is formulated with a measurement model of the group difference between image-estimated and navigation homographies. A simple compensation for depth distortion of the homography matrix is also proposed, and shown to be effective in simulation.

[1]  Andrey Soloviev,et al.  Fusion of inertial, optical flow, and airspeed measurements for UAV navigation in GPS-denied environments , 2009, Defense + Commercial Sensing.

[2]  Selim Benhimane,et al.  Homography-based 2D visual servoing , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[3]  Ben M. Chen,et al.  Design and implementation of homography-based vision-aided inertial navigation of UAVs , 2013, Proceedings of the 32nd Chinese Control Conference.

[4]  Kai-Tai Song,et al.  Mobile robot loop closing using monocular vision SLAM , 2010, Proceedings of SICE Annual Conference 2010.

[5]  Tianmiao Wang,et al.  Monocular vision and IMU based navigation for a small unmanned helicopter , 2012, 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[6]  S. Sukkarieh,et al.  SLAM aided GPS/INS Navigation in GPS Denied and Unknown Environments , 2004 .

[7]  Hugh Durrant-Whyte,et al.  Localization of Autonomous Guided Vehicles , 1996 .

[8]  Richard A. Brown,et al.  Introduction to random signals and applied kalman filtering (3rd ed , 2012 .

[9]  Clark N. Taylor,et al.  Inertially Aided Visual Odometry for Miniature Air Vehicles in GPS-denied Environments , 2009, J. Intell. Robotic Syst..

[10]  D. Gebre-Egziabher,et al.  A low-cost GPS/inertial attitude heading reference system (AHRS) for general aviation applications , 1998, IEEE 1998 Position Location and Navigation Symposium (Cat. No.98CH36153).

[11]  Ming-Liang Wang,et al.  A Visual Positioning System for Vehicle Navigation , 2005 .

[12]  J. S. Randle,et al.  Low cost navigation using micro-machined technology , 1997, Proceedings of Conference on Intelligent Transportation Systems.

[13]  Sang Uk Lee,et al.  Integrated Position Estimation Using Aerial Image Sequences , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  B. S. Manjunath,et al.  The multiRANSAC algorithm and its application to detect planar homographies , 2005, IEEE International Conference on Image Processing 2005.

[15]  Magnus Jansson,et al.  Camera-aided inertial navigation using epipolar points , 2010, IEEE/ION Position, Location and Navigation Symposium.

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

[17]  Clark N. Taylor,et al.  Comparison of Two Image and Inertial Sensor Fusion Techniques for Navigation in Unmapped Environments , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[18]  Salah Sukkarieh,et al.  Inertial Aiding of Inverse Depth SLAM using a Monocular Camera , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[19]  Andrey Soloviev,et al.  Deeply Integrated GPS/Low-Cost IMU for Low CNR Signal Processing: Flight Test Results and Real Time Implementation , 2004 .

[20]  Sinpyo Hong,et al.  Observability of error States in GPS/INS integration , 2005, IEEE Transactions on Vehicular Technology.

[21]  J. L. Weston,et al.  Modern inertial navigation technology and its application , 2000 .