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Investigation Of Ros Based Vehicle State Estimation With Uncertainties

This thesis proposed to examine ROS (Robot operating system) based vehicle state estimation considering uncertainties. ROS is a middleware between software and hardware. It also deals with the Kalman filter (KF) via different case studies where This approach is aimed to provide better estimation for...

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Main Author: Siti Nuraini, Che Huhaimi
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39908/1/EA18120_SITI%20NURAINI_THESIS%20PSM2%20-%20Siti%20Nuraini%2099.pdf
http://umpir.ump.edu.my/id/eprint/39908/
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spelling my.ump.umpir.399082024-01-08T09:52:52Z http://umpir.ump.edu.my/id/eprint/39908/ Investigation Of Ros Based Vehicle State Estimation With Uncertainties Siti Nuraini, Che Huhaimi TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This thesis proposed to examine ROS (Robot operating system) based vehicle state estimation considering uncertainties. ROS is a middleware between software and hardware. It also deals with the Kalman filter (KF) via different case studies where This approach is aimed to provide better estimation for mobile robots. Based on different case study ROS play an important role to evaluate mobile robot performance referring to its environment. ROS provides some convenient packages with ROS nodes and the SLAM algorithms that make the formation problem easier to solve. The light detection and ranging (LiDAR) sensor as obstacle detection are used to give information for this analysis in order to gain information from the surrounding where it helps to avoid obstacles. The 360-degree LiDAR sensor also was equipped in the turtlebot3 burger that was used in the laboratory setup. The simulation also involved a gazebo 3D simulator and mapping in Rviz visualization for map generation. Besides, the SLAM algorithm is used to give a picture of the robot to simultaneously map while locating itself. The preliminary result of this experiment illustrates that the Turtlebot3 Burger can avoid the obstacle on its way effectively from any starting point until that Turtlebot3 burger can reach its destination safely and it is expected the turtlebot3 burger can avoid any type of obstacle. 2022-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39908/1/EA18120_SITI%20NURAINI_THESIS%20PSM2%20-%20Siti%20Nuraini%2099.pdf Siti Nuraini, Che Huhaimi (2022) Investigation Of Ros Based Vehicle State Estimation With Uncertainties. College of Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Siti Nuraini, Che Huhaimi
Investigation Of Ros Based Vehicle State Estimation With Uncertainties
description This thesis proposed to examine ROS (Robot operating system) based vehicle state estimation considering uncertainties. ROS is a middleware between software and hardware. It also deals with the Kalman filter (KF) via different case studies where This approach is aimed to provide better estimation for mobile robots. Based on different case study ROS play an important role to evaluate mobile robot performance referring to its environment. ROS provides some convenient packages with ROS nodes and the SLAM algorithms that make the formation problem easier to solve. The light detection and ranging (LiDAR) sensor as obstacle detection are used to give information for this analysis in order to gain information from the surrounding where it helps to avoid obstacles. The 360-degree LiDAR sensor also was equipped in the turtlebot3 burger that was used in the laboratory setup. The simulation also involved a gazebo 3D simulator and mapping in Rviz visualization for map generation. Besides, the SLAM algorithm is used to give a picture of the robot to simultaneously map while locating itself. The preliminary result of this experiment illustrates that the Turtlebot3 Burger can avoid the obstacle on its way effectively from any starting point until that Turtlebot3 burger can reach its destination safely and it is expected the turtlebot3 burger can avoid any type of obstacle.
format Undergraduates Project Papers
author Siti Nuraini, Che Huhaimi
author_facet Siti Nuraini, Che Huhaimi
author_sort Siti Nuraini, Che Huhaimi
title Investigation Of Ros Based Vehicle State Estimation With Uncertainties
title_short Investigation Of Ros Based Vehicle State Estimation With Uncertainties
title_full Investigation Of Ros Based Vehicle State Estimation With Uncertainties
title_fullStr Investigation Of Ros Based Vehicle State Estimation With Uncertainties
title_full_unstemmed Investigation Of Ros Based Vehicle State Estimation With Uncertainties
title_sort investigation of ros based vehicle state estimation with uncertainties
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39908/1/EA18120_SITI%20NURAINI_THESIS%20PSM2%20-%20Siti%20Nuraini%2099.pdf
http://umpir.ump.edu.my/id/eprint/39908/
_version_ 1822924037502795776
score 13.232414

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