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Experimental tests of autonomous ground vehicles with preview

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journal contribution
posted on 07.12.2012, 13:49 by Cunjia Liu, Wen-Hua Chen, J.D. Andrews
This paper describes the design and experimental tests of a path planning and reference tracking algorithm for autonomous ground vehicles. The ground vehicles under consideration are equipped with forward looking sensors that provide a preview capability over a certain horizon. A two-level control framework is proposed for real-time implementation of the model predictive control (MPC) algorithm, where the high-level performs on-line optimization to generate the best possible local reference respect to various constraints and the low-level commands the vehicle to follow realistic trajectories generated by the high-level controller. The proposed control scheme is implemented on an indoor testbed through networks with satisfactory performance.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Citation

LIU, C., CHEN, W-H and ANDREWS, J.D., 2010. Experimental tests of autonomous ground vehicles with preview. International Journal of Automation and Computing, 7 (3), pp. 342 - 348

Publisher

© Springer Verlag and Institute of Automation, Chinese Academy of Sciences

Version

AM (Accepted Manuscript)

Publication date

2010

Notes

This article was published in the International Journal of Automation and Computing [© Springer Verlag and the Institute of Automation, Chinese Academy of Sciences ]. The definitive version is available at: http://link.springer.com/article/10.1007/s11633-010-0513-9?LI=true#. The final publication is available at www.springerlink.com.

ISSN

1476-8186

eISSN

1751-8520

Language

en

Exports