Predictive multiple sampling algorithm with overlapping integration intervals for linear wide dynamic range integrating image sensors

Author

Acosta-Serafini, Pablo M. ; Masaki, Ichiro ; Sodini, Charles G.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA

Volume

5

Issue

1

fYear

2004

fDate

3/1/2004 12:00:00 AM

Firstpage

33

Lastpage

41

Abstract

Many tasks performed by intelligent transportation systems involve processing of natural scenes. Wide dynamic range visible spectrum image sensors are required to achieve optimal processing performance. Recently several approaches that rely on the multiple sampling technique to achieve wide dynamic range have been presented. The behavior of a novel predictive variant of these algorithms is analyzed together with its key assumptions and limits to its performance and flexibility.

Keywords

automated highways; computer vision; image sensors; road traffic; sampling methods; intelligent transportation system; linear wide dynamic range integrating image sensors; machine vision; overlapping integration intervals; predictive multiple sampling algorithm; Dynamic range; Image sampling; Image sensors; Integrated circuit technology; Intelligent sensors; Intelligent transportation systems; Layout; Machine vision; Photodiodes; Prediction algorithms;

fLanguage

English

Journal_Title

Intelligent Transportation Systems, IEEE Transactions on

Publisher

ieee

ISSN

1524-9050

Type

jour

DOI

10.1109/TITS.2004.825089

Filename

1271287