Visual indoor positioning system
In visual indoor positioning systems, SLAM (Simultaneous Localization And Mapping) is used to concurrently construct a model of the environment and estimate the mobile robot’s state within it. This project aims to perform ablation studies of SLAM modules and investigate the environmental challenges...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1558122022-03-27T20:10:45Z Visual indoor positioning system Hu, Tianrun Lam Siew Kei School of Computer Science and Engineering Hardware & Embedded Systems Lab (HESL) ASSKLam@ntu.edu.sg Engineering::Computer science and engineering In visual indoor positioning systems, SLAM (Simultaneous Localization And Mapping) is used to concurrently construct a model of the environment and estimate the mobile robot’s state within it. This project aims to perform ablation studies of SLAM modules and investigate the environmental challenges of SLAM based on simulation. 2022-03-22T01:17:38Z 2022-03-22T01:17:38Z 2021 Student Research Poster Hu, T. (2021). Visual indoor positioning system. Student Research Poster, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/155812 https://hdl.handle.net/10356/155812 en SCSE21084 © 2021 The Author(s). application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Hu, Tianrun Visual indoor positioning system |
description |
In visual indoor positioning systems, SLAM (Simultaneous Localization And Mapping) is used to concurrently construct a model of the environment and estimate the mobile robot’s state within it. This project aims to perform ablation studies of SLAM modules and investigate the environmental challenges of SLAM based on simulation. |
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Lam Siew Kei |
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Lam Siew Kei Hu, Tianrun |
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Student Research Poster |
author |
Hu, Tianrun |
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Hu, Tianrun |
title |
Visual indoor positioning system |
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Visual indoor positioning system |
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Visual indoor positioning system |
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Visual indoor positioning system |
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Visual indoor positioning system |
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visual indoor positioning system |
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Nanyang Technological University |
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2022 |
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https://hdl.handle.net/10356/155812 |
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