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Vehicle driver vigilance monitoring system design
The majority of road accidents can be prevented by passive and active safety designs and systems present in today's modem passenger car and by road infrastructure improvements. However, large part of the accident risk depends on the driver status and vigilance, no matter how well the car is equ...
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| Format: | Default Thesis |
| Published: |
2007
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| Online Access: | https://hdl.handle.net/2134/33946 |
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| _version_ | 1818169494050177024 |
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| author | Pinar Boyraz |
| author_facet | Pinar Boyraz |
| author_sort | Pinar Boyraz (7203869) |
| collection | Figshare |
| description | The majority of road accidents can be prevented by passive and active safety designs and systems present in today's modem passenger car and by road infrastructure improvements. However, large part of the accident risk depends on the driver status and vigilance, no matter how well the car is equipped and how safe the roads are. It is believed that an underestimated 20% of accidents are due to lack of sleep, inattentiveness and lack of vigilance, which can be summarized under impaired driving. In this study, a driver vigilance monitoring system is developed and its performance is tested applying signal processing, computer vision, and artificial intelligence state-of-the-art methods. [Continues.] |
| format | Default Thesis |
| id | rr-article-9543182 |
| institution | Loughborough University |
| publishDate | 2007 |
| record_format | Figshare |
| spelling | rr-article-95431822007-01-01T00:00:00Z Vehicle driver vigilance monitoring system design Pinar Boyraz (7203869) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified The majority of road accidents can be prevented by passive and active safety designs and systems present in today's modem passenger car and by road infrastructure improvements. However, large part of the accident risk depends on the driver status and vigilance, no matter how well the car is equipped and how safe the roads are. It is believed that an underestimated 20% of accidents are due to lack of sleep, inattentiveness and lack of vigilance, which can be summarized under impaired driving. In this study, a driver vigilance monitoring system is developed and its performance is tested applying signal processing, computer vision, and artificial intelligence state-of-the-art methods. [Continues.] 2007-01-01T00:00:00Z Text Thesis 2134/33946 https://figshare.com/articles/thesis/Vehicle_driver_vigilance_monitoring_system_design/9543182 CC BY-NC-ND 4.0 |
| spellingShingle | Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Pinar Boyraz Vehicle driver vigilance monitoring system design |
| title | Vehicle driver vigilance monitoring system design |
| title_full | Vehicle driver vigilance monitoring system design |
| title_fullStr | Vehicle driver vigilance monitoring system design |
| title_full_unstemmed | Vehicle driver vigilance monitoring system design |
| title_short | Vehicle driver vigilance monitoring system design |
| title_sort | vehicle driver vigilance monitoring system design |
| topic | Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified |
| url | https://hdl.handle.net/2134/33946 |