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Centralized data fusion for obstacle and road borders tracking in a collision warning system
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| dc.contributor.author | Polychronopoulos, A | en |
| dc.contributor.author | Scheunert, U | en |
| dc.contributor.author | Tango, F | en |
| dc.date.accessioned | 2014-03-01T01:53:17Z | |
| dc.date.available | 2014-03-01T01:53:17Z | |
| dc.date.issued | 2004 | en |
| dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/26932 | |
| dc.subject | Far Infrared | en |
| dc.subject | Human Machine Interaction | en |
| dc.subject | System Development | en |
| dc.subject | Tracking System | en |
| dc.subject | Weather Condition | en |
| dc.subject | Data Fusion | en |
| dc.subject | Head Up Display | en |
| dc.title | Centralized data fusion for obstacle and road borders tracking in a collision warning system | en |
| heal.type | journalArticle | en |
| heal.publicationDate | 2004 | en |
| heal.abstract | The proposed system, so-called EUCLIDE, is a collision warning and vision enhancement system merging the functionality of a far infrared and mmw radar sensor in order to warn the driver in case of lack of obstacle perception in adverse weather conditions. A centralized fusion scheme is adopted for obstacle and road tracking. A Kalman based curvelinear model predicts drivers' behaviour | en |
| heal.journalName | Information Fusion | en |
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