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Software Architecture for Real-Time Image Analysis in Autonomous MAV Missions
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Geliefert zwischen Fr., 16.01.2026 und Mo., 19.01.2026
Details
This thesis tackles the challenge of real-time image analysis in resource-constrained embedded systems, focusing specifically on Micro Aerial Vehicle (MAV) applications. The primary objective of this research is to design a software architecture that integrates features like modularity, real-time capabilities, robustness, and adaptability to meet the demands. The study proposes a unique software architecture based on blackboard and microservices architectures, that facilitates the key strengths from both paradigms, while mitigating their individual limitations. Additionally, it leverages shared memory inter-process communication mechanism for implementing centralized knowledge base of the blackboard, and realizing the API of the microservices architecture. The computer vision system tasks are decomposed into smaller pieces, and developed and implemented as loosely coupled individual software components. The thesis contribution lies in an efficient architecture for real-time image analysis on safety-critical and resource-constrained MAV platforms. The architecture provides an efficient and real-time-capable backbone and offers modularity and reusability for diverse applications.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783961002146
- Genre Information Technology
- Features Dissertationsschrift
- Lesemotiv Verstehen
- Anzahl Seiten 195
- Größe H210mm x B13mm x T148mm
- Jahr 2024
- EAN 9783961002146
- Format Dissertationen / Habil.-Schrif
- ISBN 978-3-96100-214-6
- Titel Software Architecture for Real-Time Image Analysis in Autonomous MAV Missions
- Autor Batbayar Battseren
- Gewicht 331g
- Herausgeber Technische Universität Chemnitz
- Sprache Englisch
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