Title :
A Practical Exploration Approach Applied to Robot Simultaneous Localization and Map Building Process
Author :
Zang, Yutong ; Yuan, Kui ; Zou, Wei ; Hu, Huosheng
Author_Institution :
Chinese Acad. of Sci., Beijing
Abstract :
Whether the mobile robot has the ability to explore an entire environment influences the integrality of map built by mobile robot in unknown environment. However, this demand becomes challenging when mobile robot experiences positioning error and sensor noises in practical environment. In this paper, a novel exploration approach called FRT is proposed to solve the problem. The moment invariants widely used in image processing field and the DS evidence theory used for multi-sensors information fusion are both introduced into FRT algorithm to ensure the robustness of FRT algorithm. The FRT algorithm is validated by a simulation experiment and the experimental results demonstrate its performance.
Keywords :
SLAM (robots); image processing; mobile robots; sensor fusion; image processing; map building process; mobile robot; multi-sensors information fusion; positioning error; practical exploration; robot simultaneous localization; sensor noises; Computational modeling; Computer science; Image processing; Mobile robots; Noise robustness; Nonlinear dynamical systems; Orbital robotics; Robot sensing systems; Simultaneous localization and mapping; Working environment noise; DS reasoning; exploration; map building; mobile robot; scan matching;
Conference_Titel :
Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
1-4244-0726-5
Electronic_ISBN :
1-4244-0726-5
DOI :
10.1109/ICIT.2006.372285