论文信息 - Extended Kalman Filter Based Moving Object Tracking by Mobile Robot in Unknown Environment: Extended Kalman Filter Based Moving Object Tracking by Mobile Robot in Unknown Environment - 字舞流文

Extended Kalman Filter Based Moving Object Tracking by Mobile Robot in Unknown Environment: Extended Kalman Filter Based Moving Object Tracking by Mobile Robot in Unknown Environment

Ming Wu | Jiyin Sun | Ming Wu | Ji-Ying Sun

[1] Gaurav S. Sukhatme,et al. Mobile Robot Simultaneous Localization and Mapping in Dynamic Environments , 2005, Auton. Robots.

[2] Georges Bastin,et al. Structural properties and classification of kinematic and dynamic models of wheeled mobile robots , 1996, IEEE Trans. Robotics Autom..

[3] Evangelos E. Milios,et al. Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans , 1997, J. Intell. Robotic Syst..

[4] Joachim Hertzberg,et al. Globally consistent 3D mapping with scan matching , 2008, Robotics Auton. Syst..

[5] Eduardo Mario Nebot,et al. Solving computational and memory requirements of feature-based simultaneous localization and mapping algorithms , 2003, IEEE Trans. Robotics Autom..

[6] Udo Frese,et al. A Discussion of Simultaneous Localization and Mapping , 2006, Auton. Robots.

[7] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..