Deep features based real-time SLAM

This project implements a near real-time stereo SLAM system designed to operate effectively in extreme conditions using Deep Learning methods. It employs a Parallel Tracking-and-Mapping approach, making use of stereo constraints to ensure robust initialization and accurate scale recovery while main...

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Bibliographic Details
Main Author: Syed Ariff Syed Hesham
Other Authors: Wen Changyun
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172525
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Institution: Nanyang Technological University
Language: English
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