Autonomous vehicle path planning for persistence monitoring under uncertainty using Gaussian based Markov decision process
Al Sabban, Wesam H. (2015) Autonomous vehicle path planning for persistence monitoring under uncertainty using Gaussian based Markov decision process. PhD thesis, Queensland University of Technology.
Description
One of the main challenges facing online and offline path planners is the uncertainty in the magnitude and direction of the environmental energy because it is dynamic, changeable with time, and hard to forecast. This thesis develops an artificial intelligence for a mobile robot to learn from historical or forecasted data of environmental energy available in the area of interest which will help for a persistence monitoring under uncertainty using the developed algorithm.
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| ID Code: | 82297 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Gonzalez, Felipe, Wyeth, Gordon, & Corke, Peter |
| Keywords: | Autonomous Vehicle Path Planning, Path Planning Under Uncertainty, Markov Decision Process, Gaussian Based Markov Decision Process, GMDP, UAV, UAS, AUV |
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Electrical Engineering & Computer Science |
| Institution: | Queensland University of Technology |
| Deposited On: | 30 Mar 2015 16:07 |
| Last Modified: | 07 Mar 2025 00:47 |
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