Deep learning feature-based visual SLAM

Deep learning feature-based visual SLAM

Visual SLAM is often used in autonomous agents for localization and mapping. A key element of visual SLAM is the feature detector-descriptor used to extract tracking keypoints from images of the environment. Classical visual SLAM algorithms rely on hand-crafted methods, which have low computation...

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Bibliographic Details
Main Author: Yong, Duan Kai
Other Authors: Lam Siew Kei
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/166008

Internet

https://hdl.handle.net/10356/166008

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