|
|
Active Exploration of Visual SLAM Based on Comprehensive Mutual Information |
SUN Feng-Chi,KANG Ye-Wei,HUANG Ya-Lou,LIU Guang |
College of Software,Nankai University,Tianjin 300071 |
|
|
Abstract The active Simultaneous Localization and Mapping(SLAM) problem based on a single camera is discussed in this paper. Regarding the defect of available research results based on mutual information that neglect costs by different motion activities, the exploration strategy based on comprehensive mutual information that consider motion costs is proposed. The costs of movements including displacement distance and rotation degree of the camera are taken into account to choose movement activities. Each activity is assigned to a certain weight according to the extent that it affects the reliability of landmark matching. Then the activity obtaining largest information gain under unit cost is selected. The experimental result shows that without affecting location precision and real time property, the SLAM of single camera based on the proposed exploration strategy can choose feasible motion activity scientifically and avoid the shortage of the exploration mode pursuing information benefits only.
|
Received: 04 January 2009
|
|
|
|
|
[1] Se S, Jasiobedzki P. Photo-Realistic 3D Model Reconstruction // Proc of the IEEE International Conference on Robotics and Automation. Orlando, USA, 2006: 3076- 3082 [2] Xu Junyong, Wang Jingchuan, Chen Weidong. Omni-Vision Based Simultaneous Localization and Mapping of Mobile Robots. Robot, 2008, 30(4): 289-297 (in Chinese) (许俊勇,王景川,陈卫东.基于全景视觉的移动机器人同步定位与地图创建研究.机器人, 2008, 30(4): 289-297) [3] Zhang Zhanyu, Huang Yalou, Li Chao, et al. Monocular Vision Simultaneous Localization and Mapping Using SURF // Proc of the 7th World Congress on Intelligent Control and Automation. Chongqing, China, 2008: 1651-1656 [4] Davison A J, Murray D W. Simultaneous Localization and Map-Building Using Active Vision. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(7): 865-880
[5] Sim R. Stable Exploration for Bearings-Only SLAM // Proc of the IEEE International Conference on Robotics and Automation. Barcelona, Spain, 2005: 2422-2427 [6] Leonard J J, Durrant-Whyte H F. Mobile Robot Localization by Tracking Geometric Beacons. IEEE Trans on Robotics and Automation, 1991, 7(3): 376-382 [7] Vidal-Calleja T, Davison A, Andrade-Cetto J, et al. Active Control for Single Camera SLAM // Proc of the IEEE International Conference on Robotics and Automation. Orlando, USA, 2006: 1930-1936 [8] Davison A J. Real-Time Simultaneous Localization and Mapping with a Single Camera // Proc of the International Conference on Computer Vision. Nice, France, 2003: 1403-1410 [9] Zhang Zhanyu, Huang Yalou, Li Chao, et al. Design and Implementation of Simulation System for Single Camera SLAM. Computer Engineering, 2008, 34(19): 197-199 (in Chinese) (张展宇,黄亚楼,李 超,等.单目视觉SLAM仿真系统的设计与实现.计算机工程, 2008, 34(19): 197-199) [10] Kalman R E. A New Approach to Linear Filtering and Prediction Problems. Trans of the ASME: Journal of Basic Engineering, 1960, 82: 35-45 [11] Shi Jianbo, Tomasi C. Good Features to Track // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Seattle, USA, 1994: 593-600 |
|
|
|