Title :
Direction weighted shortest path planning
Author_Institution :
Saarlandes Univ., Saarbrucken, Germany
Abstract :
We examine shortest path planning under a direction weighted Euclidean metric, motivated by the problem of finding optimal routes for sailboats. We show that for piecewise linear weight functions the shortest path in the unrestricted plane always consists of 2 line segments, and by this solve the problem in a polygonal environment with a visibility graph approach. We then investigate the problem in a general setting, in which the weighted distance measure is supplemented by a link distance measure, and present polynomial approximation algorithms for this case
Keywords :
approximation theory; graph theory; minimisation; path planning; polynomials; ships; direction weighted Euclidean metric; direction-weighted shortest path planning; link distance measure; optimal routes; piecewise-linear weight functions; polygonal environment; polynomial approximation algorithms; sailboats; visibility graph; weighted distance measure; Computational geometry; Euclidean distance; Motion measurement; Path planning; Piecewise linear techniques; Polynomials; Routing; Shortest path problem; Turning; Weight measurement;
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-1965-6
DOI :
10.1109/ROBOT.1995.525552