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Voxel-Based Pathfinding: Algorithms and Applications

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posted on 2025-10-26, 22:42 authored by Thomas Kennington Nobes
Three-Dimensional Pathfinding is a fundamental problem for practical applications such as computer games, unmanned aerial vehicle navigation, and industrial pipe routing. Yet due to the unique computational challenges associated with the large size, branching factor, and symmetries in 3D spaces, the area of 3D pathfinding remains relatively unexplored. This thesis introduces the Jump Point Search-3D pathfinding system for efficient and optimal routing in voxel environments. The development of new voxel benchmark data sets enables comparison of competing techniques in distinct application areas. This work also demonstrates how these advances can be applied to real-world pathfinding problems with complex constraints.

History

Campus location

Australia

Principal supervisor

Daniel Damir Harabor

Additional supervisor 1

Michael Wybrow

Additional supervisor 2

Stuart Walsh

Year of Award

2025

Department, School or Centre

Data Science & Artificial Intelligence

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology

Rights Statement

The author retains copyright of this thesis. It must only be used for personal non-commercial research, education and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission. For further terms use the In Copyright link under the License field.

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