Safety prompt advanced driver-assistance system
This Dissertation is centered around the implementation of an advanced driver-assistance system within the Euro Truck Simulator 2 environment. Its core components encompass an exploration of the research context, the design of the advanced driver-assistance system, the execution of experiments and s...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/173224 |
| _version_ | 1824454912800456704 |
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| author | Shu, Haozhan |
| author2 | Su Rong |
| author_facet | Su Rong Shu, Haozhan |
| author_sort | Shu, Haozhan |
| collection | NTU |
| description | This Dissertation is centered around the implementation of an advanced driver-assistance system within the Euro Truck Simulator 2 environment. Its core components encompass an exploration of the research context, the design of the advanced driver-assistance system, the execution of experiments and subse-quent results analysis, and the formulation of conclusive remarks along with future prospects. In the section devoted to the design of the advanced driver-assistance system, an exhaustive exposition is provided concerning the target de-tection module, employing YOLOv6, the lane detection module employing CLR-Net, the depth estimation module utilizing the Monodepth2 algorithm, and the environmental perception module. The control algorithm design section eluci-dates the development of the PID control algorithm, the lateral control algorithm for low-speed scenarios, and the decision scene switching algorithm. Within the section dedicated to system realization and testing, an initial introduction is fur-nished regarding the utilized hardware and software platforms. Subsequently, an elaborate delineation of the experimental setting (Euro Truck Simulator 2) is presented, accompanied by a comprehensive analysis of the outcomes obtained from target detection, lane detection, and depth estimation. The dissertation culminates with system testing, analysis, comparative evaluations of experimen-tal results, and in-depth discussions. Lastly, in the conclusion and prospective outlook section, the dissertation consolidates the research achievements and un-derscores identified shortcomings, offering recommendations for future enhance-ments. It also offers an overview of potential research avenues to explore in the future. Through perusing this scholarly document, readers can gain a comprehensive understanding of the intricacies involved in conceiving and realizing an advanced driver-assistance system operating within the Euro Truck Simulator 2 environment. The document further imparts insights through rigorous analysis and comparisons of experimental results. Furthermore, it elucidates the current research landscape within this domain and outlines promising directions for fu-ture investigations. |
| first_indexed | 2025-02-19T03:29:51Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/173224 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:29:51Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1732242024-01-19T15:45:27Z Safety prompt advanced driver-assistance system Shu, Haozhan Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems This Dissertation is centered around the implementation of an advanced driver-assistance system within the Euro Truck Simulator 2 environment. Its core components encompass an exploration of the research context, the design of the advanced driver-assistance system, the execution of experiments and subse-quent results analysis, and the formulation of conclusive remarks along with future prospects. In the section devoted to the design of the advanced driver-assistance system, an exhaustive exposition is provided concerning the target de-tection module, employing YOLOv6, the lane detection module employing CLR-Net, the depth estimation module utilizing the Monodepth2 algorithm, and the environmental perception module. The control algorithm design section eluci-dates the development of the PID control algorithm, the lateral control algorithm for low-speed scenarios, and the decision scene switching algorithm. Within the section dedicated to system realization and testing, an initial introduction is fur-nished regarding the utilized hardware and software platforms. Subsequently, an elaborate delineation of the experimental setting (Euro Truck Simulator 2) is presented, accompanied by a comprehensive analysis of the outcomes obtained from target detection, lane detection, and depth estimation. The dissertation culminates with system testing, analysis, comparative evaluations of experimen-tal results, and in-depth discussions. Lastly, in the conclusion and prospective outlook section, the dissertation consolidates the research achievements and un-derscores identified shortcomings, offering recommendations for future enhance-ments. It also offers an overview of potential research avenues to explore in the future. Through perusing this scholarly document, readers can gain a comprehensive understanding of the intricacies involved in conceiving and realizing an advanced driver-assistance system operating within the Euro Truck Simulator 2 environment. The document further imparts insights through rigorous analysis and comparisons of experimental results. Furthermore, it elucidates the current research landscape within this domain and outlines promising directions for fu-ture investigations. Master's degree 2024-01-19T01:34:26Z 2024-01-19T01:34:26Z 2024 Thesis-Master by Coursework Shu, H. (2024). Safety prompt advanced driver-assistance system. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/173224 https://hdl.handle.net/10356/173224 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Computer hardware, software and systems Shu, Haozhan Safety prompt advanced driver-assistance system |
| title | Safety prompt advanced driver-assistance system |
| title_full | Safety prompt advanced driver-assistance system |
| title_fullStr | Safety prompt advanced driver-assistance system |
| title_full_unstemmed | Safety prompt advanced driver-assistance system |
| title_short | Safety prompt advanced driver-assistance system |
| title_sort | safety prompt advanced driver assistance system |
| topic | Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | https://hdl.handle.net/10356/173224 |
| work_keys_str_mv | AT shuhaozhan safetypromptadvanceddriverassistancesystem |