Tutorial 14: multisensor data fusion

Author

Macii, David ; Boni, Andrea ; Cecco, Mariolino De ; Petri, Dario

Author_Institution

Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento

Volume

11

Issue

3

fYear

2008

fDate

6/1/2008 12:00:00 AM

Firstpage

24

Lastpage

33

Abstract

Multisensor data fusion is an emerging discipline. The rapid evolution of high-performance, inexpensive, and low-power computing components for pervasive systems, such as wireless sensor networks, will enable the development of complex sensor fusion applications. The idea underlying data fusion is to combine information collected by different sensors, to make inferences at different levels of abstraction about an entity or a situation, and to enable either prompt human reactions or autonomous machine decisions. This paper presents the basic overview of data fusion terminology, models, and algorithms with the help of some examples related to next- generation car safety and driver assistance systems.

Keywords

sensor fusion; ubiquitous computing; wireless sensor networks; autonomous machine decisions; data fusion; driver assistance systems; human reactions; low-power computing components; multisensor data fusion; next-generation car safety; pervasive systems; sensor fusion applications; wireless sensor networks;

fLanguage

English

Journal_Title

Instrumentation & Measurement Magazine, IEEE

Publisher

ieee

ISSN

1094-6969

Type

jour

DOI

10.1109/MIM.2008.4534375

Filename

4534375