dc.contributor.author |
Polychronopoulos, A |
en |
dc.contributor.author |
Floudas, N |
en |
dc.contributor.author |
Amditis, A |
en |
dc.contributor.author |
Bank, D |
en |
dc.contributor.author |
Broek, B |
en |
dc.date.accessioned |
2014-03-01T02:50:15Z |
|
dc.date.available |
2014-03-01T02:50:15Z |
|
dc.date.issued |
2006 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34990 |
|
dc.subject |
Data Association |
en |
dc.subject |
Moving Object |
en |
dc.subject |
Sensor Data Fusion |
en |
dc.subject |
Data Fusion |
en |
dc.subject |
Field of View |
en |
dc.title |
Data fusion in multi sensor platforms for wide-area perception |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/IVS.2006.1689663 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/IVS.2006.1689663 |
en |
heal.publicationDate |
2006 |
en |
heal.abstract |
There is a strong belief that the improvement of preventive safety applications and the extension of their operative range are achieved by the deployment of multiple sensors with wide fields of view (FOV). The paper contributes to the solution of the problem and introduces distributed sensor data fusion architectures and algorithms for an efficient deployment of multiple sensors that give |
en |
heal.journalName |
Intelligent Vehicle, IEEE Symposium |
en |
dc.identifier.doi |
10.1109/IVS.2006.1689663 |
en |