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Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2012 Vol.2(5): 652-655 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.181

Incremental Convex Hull as an Orientation to Solving the Shortest Path Problem

Phan Thanh An and Tran Van Hoai

Abstract—The following problem is very classical in motion planning: Let a and b be two vertices of a polygon and P (Q, respectively) be the polyline formed by vertices of the polygon from a to b (from b to a, respectively) in counterclockwise order. We find the Euclidean shortest path in the polygon between a and b. In this paper, an efficient algorithm based on incremental convex hulls is presented. Under some assumption, the shortest path consists of some extreme vertices of the convex hulls of subpolylines of P (Q, respectively), first to start from a, advancing by vertices of P, then by vertices of Q, alternating until the vertex b is reached. Each such convex hull is delivered from the incremental convex hull algorithm for a subpolyline of P (Q, respectively) just before reaching Q (P, respectively). Unlike known algorithms, our algorithm does not rely upon triangulation and graph theory. The algorithm is implemented by a C code then is illustrated by some numerical examples. Therefore, incremental convex hull is an orientation to determine the shortest path. This approach provides a contribution to the solution of the open question raised by J. S. B. Mitchell in J. R. Sack and J. Urrutia, eds, Handbook of Computational Geometry, Elsevier Science B. V., 2000, p. 642.

Index Terms—Motion planning, Euclidean shortest path, convex hull algorithm, convex hull.

Phan Thanh An is with Institute of Mathematics, Hanoi, Vietnam and CEMAT, In stituto Superior Tecnico, Technical University of Lisbon, Portugal (e-mail: thanhan@math.ist.utl.pt).
Tran Van Hoai is with Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minh City, Vietnam (e-mail: hoai@cse.hcmut.edu.vn).


Cite: Phan Thanh An and Tran Van Hoai, "Incremental Convex Hull as an Orientation to Solving the Shortest Path Problem," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 652-655, 2012.

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