تقرير
Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching
العنوان: | Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching |
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المؤلفون: | Kim, Youngjoo |
سنة النشر: | 2021 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics |
الوصف: | This paper proposes a novel approach to map-based navigation system for unmanned aircraft. The proposed system attempts label-to-label matching, not image-to-image matching, between aerial images and a map database. The ground objects can be labelled by deep learning approaches and the configuration of the objects is used to find the corresponding location in the map database. The use of the deep learning technique as a tool for extracting high-level features reduces the image-based localization problem to a pattern matching problem. This paper proposes a pattern matching algorithm that does not require altitude information or a camera model to estimate the absolute horizontal position. The feasibility analysis with simulated images shows the proposed map-based navigation can be realized with the proposed pattern matching algorithm and it is able to provide positions given the labelled objects. Comment: 6 pages, 4 figures |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2107.00689 |
رقم الأكسشن: | edsarx.2107.00689 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |