Marathoner tracking algorithms for a high speed mobile robot

This paper presents tracking algorithms of a mobile robot that follows a human body moving at high speed in unstructured outdoor environment. The mobile robot, which is a differential-driven wheel type, is equipped with one laser range finder to perform high-speed human tracking and obstacle avoidance. Initially, the waist part of the human body is found the best part of the human body for robust tracking by a laser range finder. Next an obstacle avoidance algorithm considering the relative velocity between the robot and obstacles is proposed. It is shown that the proposed human tracking algorithms based on the Kalman filter performs well even in the case of the target occlusions and temporary losses. These tracking algorithms have been applied to a marathoner following robot that carries the marathoner's personal belongings in many different outdoor environments.

[1]  Huosheng Hu,et al.  Vision and Laser Data Fusion for Tracking People with a Mobile Robot , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.

[2]  Takashi Tsubouchi,et al.  People Tracking Using a Robot in Motion with Laser Range Finder , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Yakov Bar-Shalom,et al.  Multitarget-Multisensor Tracking: Principles and Techniques , 1995 .

[4]  D. L. Hall,et al.  Mathematical Techniques in Multisensor Data Fusion , 1992 .

[5]  Gregory D. Hager,et al.  Probabilistic Data Association Methods for Tracking Complex Visual Objects , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Larry S. Davis,et al.  Tracking humans from a moving platform , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[7]  Gaurav S. Sukhatme,et al.  Detecting Moving Objects using a Single Camera on a Mobile Robot in an Outdoor Environment , 2004 .

[8]  Joseph F. Engelberger,et al.  Health-care robotics goes commercial: the 'HelpMate' experience , 1993, Robotica.

[9]  Wolfram Burgard,et al.  MINERVA: a second-generation museum tour-guide robot , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[10]  Greg Welch,et al.  Welch & Bishop , An Introduction to the Kalman Filter 2 1 The Discrete Kalman Filter In 1960 , 1994 .

[11]  Maja J. Mataric,et al.  A laser-based people tracker , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[12]  Hiroshi Ishiguro,et al.  Laser tracking of human body motion using adaptive shape modeling , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.