Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion

A real-time roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion in a road environment is presented in this paper. A wheeled mobile robot (WMR) is supposed to navigate autonomously on the road in real-time and reach a...

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Main Authors: Ali, Mohammed A. H., Musa, Mailah, Jabbar, Waheb A., Moiduddin, Khaja, Ameen, Wadea, Alkhalefah, Hisham
Format: Article
Language:English
Published: Elsevier Ltd 2020
Subjects:
Online Access:https://umpir.ump.edu.my/id/eprint/29340/
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author Ali, Mohammed A. H.
Musa, Mailah
Jabbar, Waheb A.
Moiduddin, Khaja
Ameen, Wadea
Alkhalefah, Hisham
author_facet Ali, Mohammed A. H.
Musa, Mailah
Jabbar, Waheb A.
Moiduddin, Khaja
Ameen, Wadea
Alkhalefah, Hisham
author_sort Ali, Mohammed A. H.
building UMP Institutional Repository
collection Online Access
description A real-time roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion in a road environment is presented in this paper. A wheeled mobile robot (WMR) is supposed to navigate autonomously on the road in real-time and reach a predefined goal while discovering and detecting the road roundabout. A complete modeling and path planning of the road’s roundabout intersection was derived to enable the WMR to navigate autonomously in indoor and outdoor terrains. A new algorithm, called Laser Simulator, has been introduced to detect various entities in a road roundabout setting, which is later integrated with fuzzy logic algorithm for making the right decision about the existence of the roundabout. The sensor fusion process involving the use of a Wi-Fi camera, laser range finder, and odometry was implemented to generate the robot’s path planning and localization within the road environment. The local maps were built using the extracted data from the camera and laser range finder to estimate the road parameters such as road width, side curbs, and roundabout center, all in two-dimensional space. The path generation algorithm was fully derived within the local maps and tested with a WMR platform in real-time.
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publishDate 2020
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spelling ump-293402025-09-26T07:54:40Z https://umpir.ump.edu.my/id/eprint/29340/ Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion Ali, Mohammed A. H. Musa, Mailah Jabbar, Waheb A. Moiduddin, Khaja Ameen, Wadea Alkhalefah, Hisham HE Transportation and Communications TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics A real-time roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion in a road environment is presented in this paper. A wheeled mobile robot (WMR) is supposed to navigate autonomously on the road in real-time and reach a predefined goal while discovering and detecting the road roundabout. A complete modeling and path planning of the road’s roundabout intersection was derived to enable the WMR to navigate autonomously in indoor and outdoor terrains. A new algorithm, called Laser Simulator, has been introduced to detect various entities in a road roundabout setting, which is later integrated with fuzzy logic algorithm for making the right decision about the existence of the roundabout. The sensor fusion process involving the use of a Wi-Fi camera, laser range finder, and odometry was implemented to generate the robot’s path planning and localization within the road environment. The local maps were built using the extracted data from the camera and laser range finder to estimate the road parameters such as road width, side curbs, and roundabout center, all in two-dimensional space. The path generation algorithm was fully derived within the local maps and tested with a WMR platform in real-time. Elsevier Ltd 2020 Article PeerReviewed pdf en cc_by_nc_4 https://umpir.ump.edu.my/id/eprint/29340/1/17.%20Autonomous%20road%20roundabout%20detection%20and%20navigation%20system.pdf Ali, Mohammed A. H. and Musa, Mailah and Jabbar, Waheb A. and Moiduddin, Khaja and Ameen, Wadea and Alkhalefah, Hisham (2020) Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion. Sensors and Actuators B: Chemical, 20 (13). pp. 1-26. ISSN 0925-4005. (Published) https://doi.org/10.3390/s20133694 https://doi.org/10.3390/s20133694 https://doi.org/10.3390/s20133694
spellingShingle HE Transportation and Communications
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
Ali, Mohammed A. H.
Musa, Mailah
Jabbar, Waheb A.
Moiduddin, Khaja
Ameen, Wadea
Alkhalefah, Hisham
Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
title Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
title_full Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
title_fullStr Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
title_full_unstemmed Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
title_short Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
title_sort autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
topic HE Transportation and Communications
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
url https://umpir.ump.edu.my/id/eprint/29340/
https://umpir.ump.edu.my/id/eprint/29340/
https://umpir.ump.edu.my/id/eprint/29340/