Comparison of Optimal Solutions to Real-Time Path Planning for a Mobile Vehicle
Abbreviated Journal Title
IEEE Trans. Syst. Man Cybern. Paart A-Syst. Hum.
Keywords
Mobile vehicle; moving obstacles; nonholonomic constraints; optimal; solution; real-time path planning; OBSTACLE AVOIDANCE; Computer Science, Cybernetics; Computer Science, Theory & Methods
Abstract
In this paper, we present two near-optimal methods to determine the real-time collision-free path for a mobile vehicle moving in a dynamically changing environment. The proposed designs are based on the polynomial parameterization of feasible trajectories by explicitly taking into account boundary conditions, kinematic constraints, and collision-avoidance criteria. The problems of finding optimal solutions to the parameterized feasible trajectories are then formulated with respect to a near-minimal control-energy performance index and a near-shortest distance performance index, respectively. The obtained optimal solutions are analytical and suitable for practical applications which may require real-time trajectory planning and replanning. Computer simulations are provided to validate the effectiveness of the proposed near-optimal trajectory-planning methods.
Journal Title
Ieee Transactions on Systems Man and Cybernetics Part a-Systems and Humans
Volume
40
Issue/Number
4
Publication Date
1-1-2010
Document Type
Article
Language
English
First Page
721
Last Page
731
WOS Identifier
ISSN
1083-4427
Recommended Citation
"Comparison of Optimal Solutions to Real-Time Path Planning for a Mobile Vehicle" (2010). Faculty Bibliography 2010s. 972.
https://stars.library.ucf.edu/facultybib2010/972
Accessibility Statement
This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.
Comments
Authors: contact us about adding a copy of your work at [email protected]