MULTI-SENSOR MONTE-CARLO-LOCALIZATION COMBINING OMNI-VISION AND SONAR RANGE SENSORS
暂无分享,去创建一个
[1] Wolfram Burgard,et al. Using the CONDENSATION algorithm for robust, vision-based mobile robot localization , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[2] Wolfram Burgard,et al. Monte Carlo Localization: Efficient Position Estimation for Mobile Robots , 1999, AAAI/IAAI.
[3] Günther Schmidt,et al. Fusing range and intensity images for mobile robot localization , 1999, IEEE Trans. Robotics Autom..
[4] Wolfram Burgard,et al. Monte Carlo localization for mobile robots , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).
[5] Ales Leonardis,et al. Robust localization using panoramic view-based recognition , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[6] Roland Siegwart,et al. Multisensor on-the-fly localization: : Precision and reliability for applications , 2001, Robotics Auton. Syst..
[7] Horst-Michael Groß,et al. Vision-based Monte Carlo self-localization for a mobile service robot acting as shopping assistant in a home store , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[8] Horst-Michael Groß,et al. Omnivision-based probabilistic self-localization for a mobile shopping assistant continued , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).
[9] Emanuele Menegatti,et al. Image-based Monte Carlo localisation with omnidirectional images , 2004, Robotics Auton. Syst..
[10] Horst-Michael Groß,et al. Robust map building for an autonomous robot using low-cost sensors , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).