Autonomous UAV control and testing methods utilizing partially observable Markov decision processes
| dc.contributor.author | Eaton, Christopher M., author | |
| dc.contributor.author | Chong, Edwin K. P., advisor | |
| dc.contributor.author | Maciejewski, Anthony A., advisor | |
| dc.contributor.author | Bradley, Thomas, committee member | |
| dc.contributor.author | Young, Peter, committee member | |
| dc.date.accessioned | 2018-06-12T16:13:51Z | |
| dc.date.available | 2018-06-12T16:13:51Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The explosion of Unmanned Aerial Vehicles (UAVs) and the rapid development of algorithms to support autonomous flight operations of UAVs has resulted in a diverse and complex set of requirements and capabilities. This dissertation provides an approach to effectively manage these autonomous UAVs, effectively and efficiently command these vehicles through their mission, and to verify and validate that the system meets requirements. A high level system architecture is proposed for implementation on any UAV. A Partially Observable Markov Decision Process algorithm for tracking moving targets is developed for fixed field of view sensors while providing an approach for more fuel efficient operations. Finally, an approach for testing autonomous algorithms and systems is proposed to enable efficient and effective test and evaluation to support verification and validation of autonomous system requirements. | |
| dc.format.medium | born digital | |
| dc.format.medium | doctoral dissertations | |
| dc.identifier.uri | https://hdl.handle.net/10217/189297 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | POMDP | |
| dc.subject | test and evaluation | |
| dc.subject | verification and validation | |
| dc.subject | services based testing of autonomy | |
| dc.subject | autonomy | |
| dc.subject | unmanned aircraft | |
| dc.title | Autonomous UAV control and testing methods utilizing partially observable Markov decision processes | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Systems Engineering | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |
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