repository
Graduate School of Ajou University
Department of Artificial Intelligence Convergence Network
3. Theses(Master)
Visual Landmarks Map-based Spatial Recognition using Monocular Camera
- Author(s)
- CHEN HAICHUAN
- Advisor
- 노병희
- Department
- 일반대학원 AI융합네트워크학과
- Publisher
- The Graduate School, Ajou University
- Publication Year
- 2023-08
- Language
- eng
- Alternative Abstract
- With the increasing popularity of computer vision, in the context of the development of Computer Vision(CV) and robot technology today, computer vision has more applications in many fields, such as in space recognition technology, accurate space recognition is important for robot navigation、positioning、route planning. However, traditional computer vision-based spatial recognition relies heavily on multiple cameras or depth sensors, which is costly and complex. Therefore, this paper proposes a visual landmarks map-based spatial recognition using monocular camera which extracts the spatial information of objects in space through video, and perform operations such as noise reduction and de-duplication filtering on the data to improve the matching rate of landmarks and spaces and the accuracy of space recognition. In order to verify the performance of the proposed algorithm, a series of tests are carried out. The results show that the map landmarks can achieve a high degree of similarity to the real situation in real space, and compared with previous algorithms, the method improves the success accuracy to 87.5%.
- Fulltext
- Appears in Collections:
- Graduate School of Ajou University > Department of Artificial Intelligence Convergence Network > 3. Theses(Master)
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
-
- License
- STATISTICS
- Total Visit :4,971,568
- Total Download :2,093
- Today View :4,241
