A description on some of data fusion models and some applications to the next-generation car safety and driver assistance systems is given. An overview on the use of multisensor data fusion is discussed starting from the plain detection of multiple objects around a given host vehicle to inferring. These includes: the position and the speed of possible obstacles; the type of the objects in the road environment; the relative movement and distribution of obstacles over a given area; and finally, some possible suggestions for prompt and effective countermeasures are presented.

Tutorial 14 : Multisensor Data Fusion / Macii, D., Boni, A., De Cecco, M., Petri, D.. - In: IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE. - ISSN 1094-6969. - STAMPA. - 11:3(2008), pp. 24-33. [10.1109/MIM.2008.4534375]

Tutorial 14 : Multisensor Data Fusion

Macii, David;Boni, Andrea;De Cecco, Mariolino;Petri, Dario
2008-01-01

Abstract

A description on some of data fusion models and some applications to the next-generation car safety and driver assistance systems is given. An overview on the use of multisensor data fusion is discussed starting from the plain detection of multiple objects around a given host vehicle to inferring. These includes: the position and the speed of possible obstacles; the type of the objects in the road environment; the relative movement and distribution of obstacles over a given area; and finally, some possible suggestions for prompt and effective countermeasures are presented.
2008
3
Macii, David; Boni, Andrea; De Cecco, Mariolino; Petri, Dario
Tutorial 14 : Multisensor Data Fusion / Macii, D., Boni, A., De Cecco, M., Petri, D.. - In: IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE. - ISSN 1094-6969. - STAMPA. - 11:3(2008), pp. 24-33. [10.1109/MIM.2008.4534375]
File in questo prodotto:
File Dimensione Formato  
Macii_Boni_De_Cecco_Petri_2008.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 4.21 MB
Formato Adobe PDF
4.21 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/69341
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 35
  • ???jsp.display-item.citation.isi??? 27
  • OpenAlex 33
social impact