Managing Risk in the Design of Modular Systems for an Autonomous Shuttle
This paper presents an analysis and implementation of a robust autonomous driving system for an electric passenger shuttle in shared spaces. We present results of a risk assessment for our vehicle scenario and develop a flexible architecture that integrates safety features and optimises open-source...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Intelligent Transportation Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10589470/ |
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| _version_ | 1832590315103453184 |
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| author | Thomas H. Drage Kieran Quirke-Brown Lemar Haddad Zhihui Lai Kai Li Lim Thomas Braunl |
| author_facet | Thomas H. Drage Kieran Quirke-Brown Lemar Haddad Zhihui Lai Kai Li Lim Thomas Braunl |
| author_sort | Thomas H. Drage |
| collection | DOAJ |
| description | This paper presents an analysis and implementation of a robust autonomous driving system for an electric passenger shuttle in shared spaces. We present results of a risk assessment for our vehicle scenario and develop a flexible architecture that integrates safety features and optimises open-source software, facilitating research and operational functionality. Identifying limitations of the Robot Operating System (ROS) framework, we incorporate our own control measures for autonomous, unsupervised operation with enhanced intelligence. The study emphasizes algorithm selection based on application requirements to ensure optimal performance. We discuss system improvements, including monitoring node implementation and localization algorithm selection. Future work should explore transitioning to a real-time operating system (RTOS) and establishing standardized software engineering practices for consistent reliability. Our findings contribute to effective autonomous shuttle systems in shared spaces, promoting safer and more reliable transportation solutions. |
| format | Article |
| id | doaj-art-2cd23064f6fa41538a5dd86fc68d07a6 |
| institution | Kabale University |
| issn | 2687-7813 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Intelligent Transportation Systems |
| spelling | doaj-art-2cd23064f6fa41538a5dd86fc68d07a62025-01-24T00:02:57ZengIEEEIEEE Open Journal of Intelligent Transportation Systems2687-78132024-01-01555556510.1109/OJITS.2024.342516510589470Managing Risk in the Design of Modular Systems for an Autonomous ShuttleThomas H. Drage0https://orcid.org/0000-0002-0676-3426Kieran Quirke-Brown1https://orcid.org/0000-0002-1260-3496Lemar Haddad2Zhihui Lai3https://orcid.org/0000-0003-3854-9341Kai Li Lim4https://orcid.org/0000-0002-9278-0344Thomas Braunl5https://orcid.org/0000-0003-3215-0161The REV Project, The University of Western Australia, Perth, WA, AustraliaDow Centre for Sustainable Engineering Innovation, The University of Queensland, Brisbane, QLD, AustraliaThe REV Project, The University of Western Australia, Perth, WA, AustraliaThe REV Project, The University of Western Australia, Perth, WA, AustraliaThe REV Project, The University of Western Australia, Perth, WA, AustraliaThe REV Project, The University of Western Australia, Perth, WA, AustraliaThis paper presents an analysis and implementation of a robust autonomous driving system for an electric passenger shuttle in shared spaces. We present results of a risk assessment for our vehicle scenario and develop a flexible architecture that integrates safety features and optimises open-source software, facilitating research and operational functionality. Identifying limitations of the Robot Operating System (ROS) framework, we incorporate our own control measures for autonomous, unsupervised operation with enhanced intelligence. The study emphasizes algorithm selection based on application requirements to ensure optimal performance. We discuss system improvements, including monitoring node implementation and localization algorithm selection. Future work should explore transitioning to a real-time operating system (RTOS) and establishing standardized software engineering practices for consistent reliability. Our findings contribute to effective autonomous shuttle systems in shared spaces, promoting safer and more reliable transportation solutions.https://ieeexplore.ieee.org/document/10589470/Autonomous vehiclessafety systemsfunctional safetyautonomous shuttle bus |
| spellingShingle | Thomas H. Drage Kieran Quirke-Brown Lemar Haddad Zhihui Lai Kai Li Lim Thomas Braunl Managing Risk in the Design of Modular Systems for an Autonomous Shuttle IEEE Open Journal of Intelligent Transportation Systems Autonomous vehicles safety systems functional safety autonomous shuttle bus |
| title | Managing Risk in the Design of Modular Systems for an Autonomous Shuttle |
| title_full | Managing Risk in the Design of Modular Systems for an Autonomous Shuttle |
| title_fullStr | Managing Risk in the Design of Modular Systems for an Autonomous Shuttle |
| title_full_unstemmed | Managing Risk in the Design of Modular Systems for an Autonomous Shuttle |
| title_short | Managing Risk in the Design of Modular Systems for an Autonomous Shuttle |
| title_sort | managing risk in the design of modular systems for an autonomous shuttle |
| topic | Autonomous vehicles safety systems functional safety autonomous shuttle bus |
| url | https://ieeexplore.ieee.org/document/10589470/ |
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