posted on 2025-10-26, 22:42authored byThomas 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.