Data driven extraction of challenging situations for autonomous vehicles
Autonomous vehicles or Self-Driven Vehicles (SDVs) are becoming increasingly common in Singapore and for a wide variety of applications – from first-and-last-mile commutes to logistics. The areas of deployment are similarly diverse, ranging from docks to housing estates and highways. This variance i...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/77665 |
| _version_ | 1811680246334750720 |
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| author | Loo, Li Yao |
| author2 | Justin Dauwels |
| author_facet | Justin Dauwels Loo, Li Yao |
| author_sort | Loo, Li Yao |
| collection | NTU |
| description | Autonomous vehicles or Self-Driven Vehicles (SDVs) are becoming increasingly common in Singapore and for a wide variety of applications – from first-and-last-mile commutes to logistics. The areas of deployment are similarly diverse, ranging from docks to housing estates and highways. This variance in operating environments necessitates careful validation and analysis of SDVs in contextual situations before deployment. To support the Land Transport Authority's (LTA) development of test requirements and standards to deploy AVs in Singapore, NTU led the Centre of Excellence for Testing & Research of AVs – NTU (CETRAN). While CETRAN does not directly develop new technologies for AVs, it generates fundamental research on how these systems should operate, develop testing requirements, and establish an international standard for AVs |
| first_indexed | 2024-10-01T03:22:00Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/77665 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:22:00Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/776652023-07-07T17:47:31Z Data driven extraction of challenging situations for autonomous vehicles Loo, Li Yao Justin Dauwels School of Electrical and Electronic Engineering Centre of Excellence for Testing & Research of Autonomous Vehicles NTU (CETRAN) DRNTU::Engineering::Electrical and electronic engineering Autonomous vehicles or Self-Driven Vehicles (SDVs) are becoming increasingly common in Singapore and for a wide variety of applications – from first-and-last-mile commutes to logistics. The areas of deployment are similarly diverse, ranging from docks to housing estates and highways. This variance in operating environments necessitates careful validation and analysis of SDVs in contextual situations before deployment. To support the Land Transport Authority's (LTA) development of test requirements and standards to deploy AVs in Singapore, NTU led the Centre of Excellence for Testing & Research of AVs – NTU (CETRAN). While CETRAN does not directly develop new technologies for AVs, it generates fundamental research on how these systems should operate, develop testing requirements, and establish an international standard for AVs Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-04T01:44:29Z 2019-06-04T01:44:29Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77665 en Nanyang Technological University 56 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Loo, Li Yao Data driven extraction of challenging situations for autonomous vehicles |
| title | Data driven extraction of challenging situations for autonomous vehicles |
| title_full | Data driven extraction of challenging situations for autonomous vehicles |
| title_fullStr | Data driven extraction of challenging situations for autonomous vehicles |
| title_full_unstemmed | Data driven extraction of challenging situations for autonomous vehicles |
| title_short | Data driven extraction of challenging situations for autonomous vehicles |
| title_sort | data driven extraction of challenging situations for autonomous vehicles |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/77665 |
| work_keys_str_mv | AT looliyao datadrivenextractionofchallengingsituationsforautonomousvehicles |