Detecting stalled or slow-moving vehicles at night by Optical Sensing - a feasibility study
| Metadata Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Hung, John Y. | |
| dc.contributor.advisor | Baginski, Michael E. | |
| dc.contributor.advisor | Mao, Shiwen | |
| dc.contributor.author | Okelana, Olufeni | |
| dc.date.accessioned | 2014-12-04T15:39:10Z | |
| dc.date.available | 2014-12-04T15:39:10Z | |
| dc.date.issued | 2014-12-04 | |
| dc.identifier.uri | http://hdl.handle.net/10415/4389 | |
| dc.description.abstract | In developing countries and areas without adequate infrastructure, a system that can work towards automobile accident reduction without heavy infrastructural dependence or in-vehicle installation will have a shorter implementation time and thereby function sooner. Road studs are a common feature used for road delineation at night. Incorporating intelligence into road studs to detect stalled or slowly-moving vehicles can greatly reduce fatal night car accidents, which have a much higher frequency rate than those occurring during the day. This research aims at investigating its feasibility through optical sensing. | en_US |
| dc.subject | Electrical Engineering | en_US |
| dc.title | Detecting stalled or slow-moving vehicles at night by Optical Sensing - a feasibility study | en_US |
| dc.type | thesis | en_US |
| dc.embargo.status | NOT_EMBARGOED | en_US |