Parameterization and Initialization of Bearing-only Information - A Discussion

In this paper we discuss feature parameterization and initialization for bearing-only data obtained from vision sensors. The interest of this work refers to the comparison of the bearing-only data representation and initialization techniques. The behavior of the algorithm is analyzed for different robot motions and depth of the features. The results are evaluated in terms of the sensitivity to step size and the performance to ill conditioned situations. The problem studied refers to robots moving on the plane, sensing the environment and extracting bearing-only information from uncalibrated cameras to recover the position of the landmarks and its own localization.

[1]  Hong Zhang,et al.  Feature Initialization for Bearing-Only Visual SLAM Using Triangulation and the Unscented Transform , 2007, 2007 International Conference on Mechatronics and Automation.

[2]  Howie Choset,et al.  Bearing-only landmark initialization with unknown data association , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[3]  Andrew J. Davison,et al.  Real-time simultaneous localisation and mapping with a single camera , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[4]  Ana Cristina Murillo,et al.  SURF features for efficient robot localization with omnidirectional images , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[5]  Javier Civera,et al.  Unified Inverse Depth Parametrization for Monocular SLAM , 2006, Robotics: Science and Systems.

[6]  Gamini Dissanayake,et al.  Mobile Robot Localization and Mapping using a Gaussian Sum Filter , 2007 .

[7]  Juan D. Tardós,et al.  Data association in stochastic mapping using the joint compatibility test , 2001, IEEE Trans. Robotics Autom..

[8]  Michel Devy,et al.  Undelayed initialization in bearing only SLAM , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Stergios I. Roumeliotis,et al.  A unified framework for nearby and distant landmarks in bearing-only SLAM , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[10]  Tim Bailey Constrained initialisation for bearing-only SLAM , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[11]  Luc Van Gool,et al.  Localization with omnidirectional images using the radial trifocal tensor , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[12]  Gamini Dissanayake,et al.  An efficient multiple hypothesis filter for bearing-only SLAM , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).