Vision-based robot navigation and map building using active laser projection

This paper presents a vision-based approach to mobile robot navigation and map building using laser projection. A CCD cameras is installed on the ceiling observing the work space of a mobile robot. The mobile robot is equipped with a laser-vision system composed of a laser line projector and a CCD camera. Map building is performed by reconstructing the projection of the line from the actively-controlled laser projector. By exploring within the field of view of a ceiling-mounted CCD camera, the local map is built by the onboard laser-vision system. Based on a set of pre-selected features that can be detected on top of the mobile robot by the ceiling-mounted camera, on-line calibration of the coordinate transformation from the mobile robot to the ceiling-mounted camera can be established. This allows the system to keep track of current location of the robot in an unknown environment. The 3-D map reconstructed under a ceiling-mounted camera can then be used for mobile robot navigation and control in the unknown environment. The proposed system has been successfully validated by navigating a custom mobile robot equipped with the laser-vision system in an indoor laboratory environment.

[1]  Leopoldo Armesto,et al.  SLAM based on Kalman filter for multi-rate fusion of laser and encoder measurements , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[2]  Joo-Ho Lee,et al.  Controlling mobile robots in distributed intelligent sensor network , 2003, IEEE Trans. Ind. Electron..

[3]  Ching-Chih Tsai A localization system of a mobile robot by fusing dead-reckoning and ultrasonic measurements , 1998, IEEE Trans. Instrum. Meas..

[4]  M. Tomono,et al.  Environment modeling by a mobile robot with a laser range finder and a monocular camera , 2005, IEEE Workshop on Advanced Robotics and its Social Impacts, 2005..

[5]  Hideki Hashimoto,et al.  Physical agent for human following in intelligent sensor network , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Hongbin Zha,et al.  Registration of Multiple Laser Scans Based on 3D Contour Features , 2006, Tenth International Conference on Information Visualisation (IV'06).

[7]  Wolfram Burgard,et al.  A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots , 1998, Auton. Robots.

[8]  Masayuki Inaba,et al.  Development and integration of generic components for a teachable vision-based mobile robot , 1996 .

[9]  Simon X. Yang,et al.  A behavior-based mobile robot with a visual landmark-recognition system , 2003 .

[10]  Jae-Bok Song,et al.  Mobile Robot Localization Using Optical Flow Sensors , 2004 .

[11]  Janelcy Alferes,et al.  Reconstruction of Three Dimensional Models of Environments with a Mobile Robot , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[12]  Kouhei Ohnishi,et al.  Eye-to-hand approach on eye-in-hand configuration within real-time visual servoing , 2005 .

[13]  Wen-Chung Chang Binocular vision-based 3-D trajectory following for autonomous robotic manipulation , 2007, Robotica.

[14]  Ryosuke Shibasaki,et al.  Reconstructing urban 3D model using vehicle-borne laser range scanners , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[15]  Wen-Chung Chang,et al.  Precise Positioning of Binocular Eye-to-Hand Robotic Manipulators , 2007, J. Intell. Robotic Syst..

[16]  Jie Yang,et al.  Localization for Multirobot Formations in Indoor Environment , 2010, IEEE/ASME Transactions on Mechatronics.

[17]  Weidong Sun,et al.  Extracting 3D contour features of urban scenes from ground-based laser range data , 2004 .

[18]  Avinash C. Kak,et al.  Vision-based navigation by a mobile robot with obstacle avoidance using single-camera vision and ultrasonic sensing , 1998, IEEE Trans. Robotics Autom..

[19]  Wen-Chung Chang Hybrid Force and Vision-Based Contour Following of Planar Robots , 2006, J. Intell. Robotic Syst..

[20]  N. Ando,et al.  Cooperation of distributed intelligent sensors in intelligent environment , 2004, IEEE/ASME Transactions on Mechatronics.

[21]  Ying Wang,et al.  A Hybrid Visual Servo Controller for Robust Grasping by Wheeled Mobile Robots , 2010, IEEE/ASME Transactions on Mechatronics.

[22]  Ricardo Gutierrez-Osuna,et al.  Modeling of ultrasonic range sensors for localization of autonomous mobile robots , 1998, IEEE Trans. Ind. Electron..

[23]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[24]  Ching-Chih Tsai,et al.  Multisensor 3D Posture Determination of a Mobile Robot Using Inertial and Ultrasonic Sensors , 2005, J. Intell. Robotic Syst..