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A neural network-based camera calibration method for mobile robot localization problems
Zou, AM; Hou, ZG; Zhang, LJ; Tan, M; Wang, J; Liao, X; Yi, Z
2005
发表期刊ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS
卷号3498页码:277-284
文章类型Article
摘要To navigate reliably in indoor environments, a mobile robot has to know where it is. The methods for pose (position and orientation) estimation can be roughly divided into two classes: methods for keeping track of the robot's pose and methods for global pose estimation [1]. In this paper, a neural network-based camera calibration method is presented for the global localization of mobile robots with monocular vision. In order to localize and navigate the robot using vision information, the camera has to be first calibrated. We calibrate the camera using the neural network based method, which can simplify the tedious calibration process and does not require specialized knowledge of the 3D geometry and computer vision. The monocular vision is used to initialize and recalibrate the robot's pose, and the extended Kalman filter is adopted to keep track of the mobile robot's pose.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000230167700044
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9166
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
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GB/T 7714
Zou, AM,Hou, ZG,Zhang, LJ,et al. A neural network-based camera calibration method for mobile robot localization problems[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS,2005,3498:277-284.
APA Zou, AM.,Hou, ZG.,Zhang, LJ.,Tan, M.,Wang, J.,...&Yi, Z.(2005).A neural network-based camera calibration method for mobile robot localization problems.ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS,3498,277-284.
MLA Zou, AM,et al."A neural network-based camera calibration method for mobile robot localization problems".ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS 3498(2005):277-284.
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