A Focal Any-Angle Path-finding Algorithm Based on A* on Visibility Graphs

06/09/2017
by   Pei Cao, et al.
0

In this research, we investigate the subject of path-finding. A pruned version of visibility graph based on Candidate Vertices is formulated, followed by a new visibility check technique. Such combination enables us to quickly identify the useful vertices and thus find the optimal path more efficiently. The algorithm proposed is demonstrated on various path-finding cases. The performance of the new technique on visibility graphs is compared to the traditional A* on Grids, Theta* and A* on Visibility Graphs in terms of path length, number of nodes evaluated, as well as computational time. The key algorithmic contribution is that the new approach combines the merits of grid-based method and visibility graph-based method and thus yields better overall performance.

READ FULL TEXT

page 2

page 3

page 8

page 10

page 11

research
07/14/2020

On approximations to minimum link visibility paths in simple polygons

We investigate a practical variant of the well-known polygonal visibilit...
research
07/20/2023

Mutual-visibility in distance-hereditary graphs: a linear-time algorithm

The concept of mutual-visibility in graphs has been recently introduced....
research
04/03/2023

Variety of mutual-visibility problems in graphs

If X is a subset of vertices of a graph G, then vertices u and v are X-v...
research
07/29/2022

Graph-Based Small Bowel Path Tracking with Cylindrical Constraints

We present a new graph-based method for small bowel path tracking based ...
research
08/13/2018

Faster and More Robust Mesh-based Algorithms for Obstacle k-Nearest Neighbour

We are interested in the problem of finding k nearest neighbours in the ...
research
09/11/2017

On the definition of Shape Parts: a Dominant Sets Approach

In the present paper a novel graph-based approach to the shape decomposi...
research
11/21/2017

Optimized Visibility Functions for Revectorization-Based Shadow Mapping

High-quality shadow anti-aliasing is a challenging problem in shadow map...

Please sign up or login with your details

Forgot password? Click here to reset