Low–cost visual localization system on an embedded platform

Simultaneous Localization and Mapping (SLAM) of an unknown environment is very crucial in navigation for autonomous robots. The role of SLAM is more critical for indoor navigation as the SLAM system cannot rely on Global Positioning System (GPS). Furthermore, an autonomous robot is typically on...

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Main Author: Sua, Heng Duang
Other Authors: Lam Siew Kei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157237
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1572372022-05-11T06:36:46Z Low–cost visual localization system on an embedded platform Sua, Heng Duang Lam Siew Kei School of Computer Science and Engineering Duvindu Piyasena ASSKLam@ntu.edu.sg Engineering::Computer science and engineering::Hardware::Performance and reliability Simultaneous Localization and Mapping (SLAM) of an unknown environment is very crucial in navigation for autonomous robots. The role of SLAM is more critical for indoor navigation as the SLAM system cannot rely on Global Positioning System (GPS). Furthermore, an autonomous robot is typically only equipped with camera sensors and a low-cost embedded system, which poses a challenge in achieving high-speed visual SLAM. The objective of this project is to develop a preliminary Field Programmable Gate Array (FPGA) based sensing and computing stack for visual SLAM. To date, most of the existing visual SLAM algorithms have been implemented on microprocessors and GPUs. This project aims to port a widely used visual-inertial SLAM framework to the processing system (PS) of an FPGA platform and perform calibration of the Inertial Measurement Unit (IMU) and camera sensors to reduce pose estimate uncertainty. This project will lay the foundation for future research in hardware acceleration of visual SLAM algorithm on FPGA Bachelor of Engineering (Computer Engineering) 2022-05-11T06:36:45Z 2022-05-11T06:36:45Z 2022 Final Year Project (FYP) Sua, H. D. (2022). Low–cost visual localization system on an embedded platform. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157237 https://hdl.handle.net/10356/157237 en SCSE21-0005 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Hardware::Performance and reliability
spellingShingle Engineering::Computer science and engineering::Hardware::Performance and reliability
Sua, Heng Duang
Low–cost visual localization system on an embedded platform
description Simultaneous Localization and Mapping (SLAM) of an unknown environment is very crucial in navigation for autonomous robots. The role of SLAM is more critical for indoor navigation as the SLAM system cannot rely on Global Positioning System (GPS). Furthermore, an autonomous robot is typically only equipped with camera sensors and a low-cost embedded system, which poses a challenge in achieving high-speed visual SLAM. The objective of this project is to develop a preliminary Field Programmable Gate Array (FPGA) based sensing and computing stack for visual SLAM. To date, most of the existing visual SLAM algorithms have been implemented on microprocessors and GPUs. This project aims to port a widely used visual-inertial SLAM framework to the processing system (PS) of an FPGA platform and perform calibration of the Inertial Measurement Unit (IMU) and camera sensors to reduce pose estimate uncertainty. This project will lay the foundation for future research in hardware acceleration of visual SLAM algorithm on FPGA
author2 Lam Siew Kei
author_facet Lam Siew Kei
Sua, Heng Duang
format Final Year Project
author Sua, Heng Duang
author_sort Sua, Heng Duang
title Low–cost visual localization system on an embedded platform
title_short Low–cost visual localization system on an embedded platform
title_full Low–cost visual localization system on an embedded platform
title_fullStr Low–cost visual localization system on an embedded platform
title_full_unstemmed Low–cost visual localization system on an embedded platform
title_sort low–cost visual localization system on an embedded platform
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157237
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