Sunday, December 13, 2009
use Dijkstra’s algorithm to find the shortest path between
the start and the goal. The path will consist of a sequence of
nodes from the roadmap. Note that such a path could pos-
sibly contain several cusps, which indicate transitions be-
tween forward and backward movements of the car. From
the perspective of the control roadmap, the path is deter-
mined by a sequence of control points. After we have a
path, we must validate it with finer resolution collision tests
since the validity of the edges has not been verified before.
trol polygon, arcs always perform better than quadratic B-
splines in terms of obtaining smaller maximum curvature.
The other option is cubic B-splines, which naturally provide
continuous curvature if the path happens also to be collision
free. We will show a heuristic that can be used to find better
knot sequences that minimize the maximum curvature along
the path.
to find a better path, with fewer discontinuities in the curva-
ture, using the guidance of these control points (or polygon).
More precisely, we first partition the path at any cusps, into
forward and reverse segments, and process each segment
separately. Actually, it is convenient to reverse the state-
ment and ask a more general question: given this control
polygon, is it possible to get a collision free path with better
curvature (by better, we mean bigger and/or more continu-
ous curvature)?
ments. An unpleasant feature of this is that since the curva-
ture is not continuous along the path, the robot has to make
a complete stop each time it meets a curvature discontinuity.
Since each roadmap node along the path corresponds to an
edge in the control roadmap, it is a simple matter to retrieve
all the control points along the path.
path local planning method. An RTR path is defined as the
concatenation of a rotational path, a translational path, and
another rotational path [26]. An alternative is to use a local
planner that constructs the shortest path connecting the two
configurations as was done in [18, 24].
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