Title :
A Simulation System for Simultaneous Localization and Mapping of Mobile Robots
Author :
Dai, Xuefeng ; Lv, Dan ; Liu, Shudong ; Shi, Yan
Author_Institution :
Inst. of Robotics, Qiqihar Univ.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
In this paper, an effective simulation system is proposed for wheeled mobile robots to verify simultaneous localization and mapping algorithms. Its components and function are described in detail. In map building, a line-based representation of the environment is adopted. Line parameters are extracted from range scans, and the corresponding covariance matrices are computed from the statistical characteristics of the raw data. The simulation system makes the design of algorithms less depend on each others and be easily used to test new algorithms. The proposed scheme is validated through numerical simulations
Keywords :
covariance matrices; feature extraction; mobile robots; object-oriented programming; statistical analysis; SLAM simulation system; covariance matrix; line-based representation; localization algorithm; mapping algorithm; numerical simulation; object-oriented programming; statistical analysis; wheeled mobile robot; Computational modeling; Covariance matrix; MATLAB; Mathematical model; Mobile robots; Navigation; Numerical simulation; Object oriented modeling; Robot sensing systems; Simultaneous localization and mapping; Kalman filter; SLAM; data association; extended; feature extraction; object-oriented;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.399