Autonomous Mobile Robot Platform for On-the-Road Navigation

Article Preview

Abstract:

This paper presents a mechatronic development of a new mobile robot platform for autonomous on-the-road navigation. It uses sensor fusion involving the camera, laser range finder (LRF) and odometry to guide and find the free collision path during navigation. The embedded controller system has been deliberately developed to integrate the mechanical parts with the electronics and software algorithms. Microsoft Visual C# and MATLAB are linked together to perform the road recognition calculation via the proposed algorithms. The main processing program in C# is later extended to MATLAB environment for image, signal processing and calculation based on data from the LRF and camera. The linking between C# and MATLAB is done using COM automation server and the data in the client C# program passes it to MATLAB and vice versa.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

750-754

Citation:

Online since:

December 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M. A. Sotelo, F. J. Rodriguez, L. Magdalena, VIRTUOUS: Vision-based road transportation for unmanned operation on urban-like scenarios, IEEE Trans. Intell. Transp. Syst. 5(2) (2004) 69–83.

DOI: 10.1109/tits.2004.828175

Google Scholar

[2] W. Li, X. Jiang, Y. Wang, Road recognition for vision navigation of an autonomous vehicle by fuzzy reasoning, Fuzzy Sets and Systems. 93 (1998) 275-280.

DOI: 10.1016/s0165-0114(96)00211-4

Google Scholar

[3] Q. M¨uhlbauer, S. Sosnowski, T. Xu, T. Zhang, K. K¨uhnlenz, M. Buss, Navigation through urban environments by visual perception and interaction, Technical Report- Institute of Automatic Control Engineering, Technical University Munich, Germany.

Google Scholar

[4] W. Enkelmann, G. Struck, J. Geisler ROMA - A system for model-based analysis of road markings, Technical report- Fraunhofer-Institut fur Informations- und Datenverarbeitung (IITB) Karlsruhe, Germany.

DOI: 10.1109/ivs.1995.528307

Google Scholar

[5] T.M. Jochem, D.A. Pomerleau, C.E. Thorpe, Vision-based neural network road and intersection detection and traversal, The Robotics Institute, Carnegie Mellon University, Pittsburgh PA 15213.

DOI: 10.1109/iros.1995.525907

Google Scholar

[6] K. Kluge, C. Thorpe, The YARF system for vision-based road following, Math. Comput. Modelling. 22(1995) 213-233.

DOI: 10.1016/0895-7177(95)00134-n

Google Scholar

[7] M.A.H. Ali, M. Mailah, H.H. Tang, Path navigation of mobile robot in a road roundabout setting, 1st International on Systems, Control, Power and Robotics Singapore 11-13 March (2012).

Google Scholar

[8] M.A.H. Ali, M. Mailah, H.H. Tang, Path planning of mobile robot for autonomous navigation of road roundabout, International Journal of Mechanics. 6 (2012) 203-211.

Google Scholar

[9] M.A.H. Ali, M. Mailah, H.H. Tang, A novel approach for visibility search graph based path planning, 13thInternational conference on Robotics, Control and Manufacturing Systems. Kuala-lumpur 2-4th April, (2013) 44-49.

Google Scholar