The Design of Simultaneous Location and Mapping System for Intelligent Vehicle in Indoor Environment

Article Preview

Abstract:

A design of simultaneous location and mapping system for intelligent vehicles was proposed. The paper put forward a new algorithm digitalizing motion state which can achieve the automatic navigation and location of the vehicle. Convert the coordinate systems of distance-detecting module with ultrasonic sensors and odometer positioning module to the global coordinate system so as to determine the robot’s global coordinate position and the barrier’s distribution in the environment. The motion environment was represented as a 2-D grid map. The simulation in Visual Studio software can verify that the design is available to establish the simultaneous location and mapping of indoor environment and the algorithm is reliable. The innovation point is that simultaneous location and mapping is achieved by coordinate conversion in the algorithm instead of the complex computing.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

729-734

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jose G , Euardo N, Optimization of simultaneous localization and map building algorithm for real time implementation: submitted to Journal of Robot and Automation (2001)17(3): 242-257.

DOI: 10.1109/70.938382

Google Scholar

[2] Smith R, Self M, Cheeseman P, Estimating uncertain spatial relationships in robotics autonomous robot vehicles, London, (1990).

DOI: 10.1007/978-1-4613-8997-2_14

Google Scholar

[3] Cai Zixing, He Hangen, Chen Hong. Navigation control theory and method of mobile robot in unknown environment, Peking Science Press, (2009).

Google Scholar

[4] Liu Yu, Zhu Shiqiang, Wu Haibin, Task planning for autonomous dust-collecting robot in unstructured environment: submitted to Journal of Machine Tool and Hydraulics (2003).

Google Scholar

[5] Ma Yan, Liu Huabo, Xu Shuhua. Path planning design for cleaning robot: submitted to Journal of Machinery and Electronics (2008).

Google Scholar