3D fast map for autonomous mixed swarm robot drone (MSRD)

This project aims to explore the use of 3D Fast Mapping for efficient mapping of indoor environments using a Jet Racer and a Zed Mini camera. The project objectives include developing a 3D fast map imaging concept, selecting the most appropriate camera and the autonomous device as the carrier o...

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Main Author: Ooi, Jia Min
Other Authors: Li King Ho Holden
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166916
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1669162023-05-20T16:51:07Z 3D fast map for autonomous mixed swarm robot drone (MSRD) Ooi, Jia Min Li King Ho Holden School of Mechanical and Aerospace Engineering HoldenLi@ntu.edu.sg Engineering::Mechanical engineering This project aims to explore the use of 3D Fast Mapping for efficient mapping of indoor environments using a Jet Racer and a Zed Mini camera. The project objectives include developing a 3D fast map imaging concept, selecting the most appropriate camera and the autonomous device as the carrier of the camera while conducting mapping, and finally, to integrate the components for fast mapping in two indoor environments. The performance of the 3D Fast Mapping approach was evaluated and compared against conventional mapping in terms of time taken to complete the map and completeness of the map produced. Two environments, an indoor corridor and a study room, were mapped using both the 3D Fast Mapping approach and conventional SLAM mapping. The results showed that 3D Fast Mapping was faster than conventional SLAM mapping in both environments, although the completeness of the map produced was higher for conventional SLAM mapping. Limitations of the 3D Fast Mapping approach were identified, including the minimum turning radius of the Jet Racer and the limited height range of the Zed Mini camera. Recommendations for future work include using a combination of robots with varying turning radii and height ranges, and exploring the use of multi-swarm robot drones to overcome these limitations. Overall, this project demonstrates the potential of 3D Fast Mapping for efficient mapping of indoor environments, with future work aimed at improving the completeness and accuracy of the maps produced. The project has practical applications in areas such as autonomous navigation and robotics, where accurate mapping of indoor environments is essential for safe and efficient operation Bachelor of Engineering (Mechanical Engineering) 2023-05-16T06:31:44Z 2023-05-16T06:31:44Z 2023 Final Year Project (FYP) Ooi, J. M. (2023). 3D fast map for autonomous mixed swarm robot drone (MSRD). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166916 https://hdl.handle.net/10356/166916 en C167 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::Mechanical engineering
spellingShingle Engineering::Mechanical engineering
Ooi, Jia Min
3D fast map for autonomous mixed swarm robot drone (MSRD)
description This project aims to explore the use of 3D Fast Mapping for efficient mapping of indoor environments using a Jet Racer and a Zed Mini camera. The project objectives include developing a 3D fast map imaging concept, selecting the most appropriate camera and the autonomous device as the carrier of the camera while conducting mapping, and finally, to integrate the components for fast mapping in two indoor environments. The performance of the 3D Fast Mapping approach was evaluated and compared against conventional mapping in terms of time taken to complete the map and completeness of the map produced. Two environments, an indoor corridor and a study room, were mapped using both the 3D Fast Mapping approach and conventional SLAM mapping. The results showed that 3D Fast Mapping was faster than conventional SLAM mapping in both environments, although the completeness of the map produced was higher for conventional SLAM mapping. Limitations of the 3D Fast Mapping approach were identified, including the minimum turning radius of the Jet Racer and the limited height range of the Zed Mini camera. Recommendations for future work include using a combination of robots with varying turning radii and height ranges, and exploring the use of multi-swarm robot drones to overcome these limitations. Overall, this project demonstrates the potential of 3D Fast Mapping for efficient mapping of indoor environments, with future work aimed at improving the completeness and accuracy of the maps produced. The project has practical applications in areas such as autonomous navigation and robotics, where accurate mapping of indoor environments is essential for safe and efficient operation
author2 Li King Ho Holden
author_facet Li King Ho Holden
Ooi, Jia Min
format Final Year Project
author Ooi, Jia Min
author_sort Ooi, Jia Min
title 3D fast map for autonomous mixed swarm robot drone (MSRD)
title_short 3D fast map for autonomous mixed swarm robot drone (MSRD)
title_full 3D fast map for autonomous mixed swarm robot drone (MSRD)
title_fullStr 3D fast map for autonomous mixed swarm robot drone (MSRD)
title_full_unstemmed 3D fast map for autonomous mixed swarm robot drone (MSRD)
title_sort 3d fast map for autonomous mixed swarm robot drone (msrd)
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/166916
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