dc.contributor.author |
Floudas, N |
en |
dc.contributor.author |
Lytrivis, P |
en |
dc.contributor.author |
Polychronopoulos, A |
en |
dc.contributor.author |
Amditis, A |
en |
dc.date.accessioned |
2014-03-01T02:50:59Z |
|
dc.date.available |
2014-03-01T02:50:59Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/35267 |
|
dc.subject |
Active Safety |
en |
dc.subject |
Data Association |
en |
dc.subject |
Distributed Processing |
en |
dc.subject |
Object Extraction |
en |
dc.subject |
Sensor Data Fusion |
en |
dc.subject |
Sensor Network |
en |
dc.subject |
Sensor System |
en |
dc.subject |
Data Fusion |
en |
dc.subject |
Field of View |
en |
dc.title |
On the track-to-track association problem in road environments |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ICIF.2007.4407997 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ICIF.2007.4407997 |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
Multi-sensor systems in automotive safety applications and sensor data fusion have become very popular in recent years. Sensors on board cars and active safety applications are increasing in number and the need to define a common method for object extraction and serving these applications has been recognized. Authors propose a high level fusion approach suitable for automotive sensor networks with |
en |
heal.journalName |
International Conference on Information Fusion |
en |
dc.identifier.doi |
10.1109/ICIF.2007.4407997 |
en |