Finding Shortest Path in the Plane with Obstacles


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Among the games I have developed on CodinGame, one of my favorites is Ghost in the Cell because it gave me the opportunity to solve a very interesting problem: finding the shortest path in a plane while avoiding obstacles. This is an algorithm I've been taught during a robot motion planning class when I was a student but I never had the opportunity to implement it.

In this article, I will show you how to compute a path from one factory to another while avoiding other factories. A factory is simply a round obstacle.

Expected Result

The algorithm will be divided in 3 steps:

Computation of the Polygons

The obstacles are round, however we need a discrete amount of vertices to build the visibility graph. A circle can easily be approximated by a regular polygon.

First, some vocabulary:

  • A regular polygon is a polygon equiangular and equilateral
  • The apothem (a) is the distance from the center to the midpoint of one of its sides
  • The circumradius (R) is the distance from the center to one of its vertices
  • The inscribed circle of a regular polygon is a circle with the same center and radius a

We are looking for a polygon for which the inscribed circle is the radius of a factory, plus a gap to forbid a path to go too close to an obstacle (too dangerous). The apothem of the polygon is : a=obstacle.radius+extraSpace. The circumradius can be calculated from the apothem and the number of edges: R=acos(π/n).

The coordinates of the vertices of a polygon of n edges are:


Here's the implementation of the polygon function:

Feel free to play with the number of edges.

Visibility Graph

From the set of vertices of all the polygons, we create a graph called Visibility Graph. Each vertex is connected to all the vertices that can be reached by a direct line without crossing any obstacle.

For this, we need a function to detect an intersection between two segments. We'll also use a function to detect an intersection with a circle but it was not strictly necessary (this simplifies the code). The function directPath returns true when two points can be connected without intersecting a polygon.

The function buildGraph iterates over all the vertices of all the polygons and create a bidirectional edge when directPath returns true. We also add a unidirectional edge from each center (these edges only allows to exit a factory).

Shortest Path

Any conventional shortest path algorithm can be used to compute the path from a factory to another using the visibility graph. Here's the implementation of an A*. For the sake of simplicity, I've used a sorted array instead of a priority queue, feel free to improve that part.

By increasing the number of edges for each polygon, the path become smoother.

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